HERBICIDES, THEORY
AND APPLICATIONS
Edited by Sonia Soloneski
and Marcelo L. Larramendy
Herbicides, Theory and Applications
Edited by Sonia Soloneski and Marcelo L. Larramendy
Published by InTech
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Contents
Preface
Part 1
IX
Weed Control and Crop Management
1
Chapter 1
Weed Control in Conservation Agriculture
Andrew Price and Jessica Kelton
Chapter 2
Weed Management Systems
for No-Tillage Vegetable Production
S. Alan Walters
3
17
Chapter 3
Weed Control and the Use
of Herbicides in Sesame Production 41
W. James Grichar, Peter A. Dotray and D. Ray Langham
Chapter 4
Defining Interactions of Herbicides
with Other Agrochemicals Applied to Peanut
David L. Jordan, Gurinderbir S. Chahal,
Sarah H. Lancaster, Joshua B. Beam,
Alan C. York and William Neal Reynolds
73
Chapter 5
Computational Biology, Protein Engineering,
and Biosensor Technology:
a Close Cooperation for Herbicides Monitoring 93
Giuseppina Rea, Fabio Polticelli, Amina Antonacci,
Maya Lambreva, Sandro Pastorelli, Viviana Scognamiglio,
Veranika Zobnina and Maria Teresa Giardi
Chapter 6
Statistical Based Real-Time
Selective Herbicide Weed Classifier 121
Irshad Ahmad and Abdul Muhamin Naeem
Chapter 7
Variable Rate Herbicide Application
Using GPS and Generating
a Digital Management Map 127
Majid Rashidi and Davood Mohammadzamani
VI
Contents
Chapter 8
Chapter 9
Chapter 10
Soil Electrical Conductivity
as One Possible Tool for Predicting
of Cirsium Arvense Infestation Occurence
Milan Kroulik, Atonin Slejska,
Dana Kokoskova and Veronika Venclova
145
Herbicides in the Soil Environment:
Linkage Between Bioavailability and Microbial Ecology 161
M. Celina Zabaloy, Graciela P. Zanini, Virginia Bianchinotti,
Marisa A. Gomez and Jay L. Garland
Application of Mutated Acetolactate Synthase
Genes to Herbicide Resistance and Plant Improvement
Masanori Shimizu, Kiyoshi Kawai, Koichiro Kaku,
Tsutomu Shimizu and Hirokazu Kobayashi
193
Chapter 11
Transgenic Tall Fescue and Maize
with Resistance to ALS-Inhibiting Herbicides 213
Hiroko Sato, Tadashi Takamizo, Junko Horita,
Kiyoshi Kawai, Koichiro Kaku and Tsutomu Shimizu
Chapter 12
Pollen Mediated Gene Flow in GM Crops:
The Use of Herbicides as Markers for Detection.
The Case of Wheat 225
Iñigo Loureiro, Concepción Escorial, Inés Santín and Cristina Chueca
Part 2
Analytical Techniques of Herbicide Detection
237
Chapter 13
Overview of Analytical Techiques
for Herbicides in Food 239
Hua Kuang, Libing Wang and Chuanlai Xu
Chapter 14
Enantioseparation and Enantioselective
Analysis of Chiral Herbicides 281
Lixia Jin, Weiliang Gao, Ling Li, Jing Ye,
Chunmian Lin and Weiping Liu
Chapter 15
Residual Herbicide Dissipation in Vegetable Production 309
Timothy Grey and William Vencill
Chapter 16
Solid-Phase Extraction for Enrichment
and Separation of Herbicides 325
Pyrzynska Krystyna
Chapter 17
Chemometric Strategies for the Extraction and Analysis
Optimization of Herbicide Residues in Soil Samples 345
Cristina Díez, Enrique Barrado and José Antonio Rodríguez
Contents
Chapter 18
Membrane Treatment of Potable
Water for Pesticides Removal 369
Anastasios Karabelas and Konstantinos Plakas
Chapter 19
Electrochemical Oxidation of Herbicides 409
Sidney Aquino Neto and Adalgisa Rodrigues De Andrade
Part 3
Herbicide Toxicity and Further Applications 429
Chapter 20
The Bioassay Technique
in the Study of the Herbicide Effects 431
Pilar Sandín-España, Iñigo Loureiro, Concepción Escorial,
Cristina Chueca and Inés Santín-Montanyá
Chapter 21
Plasmodesmata: Symplastic Transport
of Herbicides within the Plant 455
Germani Concenco and Leandro Galon
Chapter 22
7-Keto-8-Aminopelargonic Acid
Synthase as a Potential Herbicide Target 471
In-Taek Hwang, Dong-Hee Lee and No-Joong Park
Chapter 23
Possibilities of Applying Soil Herbicides
in Fruit Nurseries – Phytotoxicity and Selectivity
Zarya Rankova
495
Chapter 24
Herbicide Sulcotrione
Nanxiang Wu
Chapter 25
The Hemodynamic Effects of the Formulation
of Glyphosate-Surfactant Herbicides 545
Hsin-Ling Lee and How-Ran Guo
Chapter 26
Herbicides and Protozoan Parasite Growth Control:
Implications for New Drug Development 567
Ricardo B. Leite, Ricardo Afonso and M. Leonor Cancela
Chapter 27
Synthesis and Evaluation
of Pyrazine Derivatives with Herbicidal Activity 581
Martin Doležal and Katarína Kráľová
527
VII
Preface
Weeds have always represented one of the main limiting factors in crop production.
For the first time in human history, we are technically able to produce as much food
as needed for the ever increasing world population, thus theoretically eliminating the
risk of famine. These are mainly observed in cases of wars and poor management.
Herbicides have revolutionized weed control worldwide. Since weeds are responsible
for a loss of over 14% of global harvests, they have been rapidly adopted worldwide.
This is no small concern, since most of the largest producers of commodities are located in the so called developing world or emerging economies. The popularity of these
chemicals derives from the fact that they are the most reliable and least expensive
method of weed control available today. Weeds are different from other pests in crop
production because they are relatively constant, while outbreaks of insects and disease pathogens are sporadic. Apart from quantitative damages caused by weeds due
to competition for nutrients, light and water, they are able to cause indirect qualitative
damages due to crop yield reduction, contamination of seeds, harvesting practices,
and soil degradation.
In the past 60 years, agrochemical companies have successfully discovered and marketed a wide array of selective herbicides. Their success is largely responsible for the
abundant and sustained food production demanded by national governments. The
use of herbicides has simplified crop management attempting to keep weed population at acceptable levels. Herbicides and other agrochemicals have provided, year
after year, tools to grow the most profitable crops on the same fields. Thus, reliance
upon herbicides as the primary method of weed control in crop management systems
is understandable. Unfortunately, they are not free from posing serious environmental risks and substantial health dangers to the population. Residues on food, groundwater contamination, as well as occupational exposure to farm workers are not to be
disregarded.
In our industrialized society, the common feeling about herbicides is often indifference. In agreement with this concept, several surveys carried out by herbicides manufacturers claim that less than 10% of the interviewed consider herbicides dangerous for
man and the environment. This social acceptance is most probably due to the communication gap existing between the scientific community and society. Misinformation
and disinformation are also to be included in this context. Society is not usually fully
X
Preface
aware of “the price” to be paid in order to provide an abundant and uninterrupted food
production chain. Before registration of a new herbicide, rigorous testing is mandatory,
surfactants and inert ingredients present in commercial formulations are included as
well. These tests include animal toxicity, namely acute toxicity, carcinogenicity and
teratogenicity bioassays, effects on non-target organisms, and different modes of environmental degradation.
Several excellent papers within the complex herbicide field came out in the last decade.
A simple search in a databank as PubMed, displays more than 3,500 reports published
in scientific journals only during 2010. As developments in this field have been quite
rapid, we believe the writing of a new book scoping the subject is fully justified. To
tackle among others, related geopolitical, economical and population issues in our
modern, internet-economy connected societies, we aim to present a more holistic approach of the matter, in order to appreciate the full scope of the question.
The content selected in Herbicides, Theory and Applications is intended to provide researchers, producers and consumers of herbicides an overview of the latest scientific
achievements. Although we are dealing with many diverse and different topics, we
have tried to compile this “raw material” into three major parts in search of clarity and
order. First, in Weed Control and Crop Management, readers will find twelve chapters
with background information about the effects of herbicides on the undesired plants
that grow and reproduce aggressively in crops as well as their management and several empirical methodologies for study. Second, in Analytical Techniques of Herbicide
Detection, we have included seven chapters dealing with specific analytical procedures
used to identify, quantify and characterize different types of herbicides. Finally, Herbicide Toxicity and Further Applications encloses eight chapters related to the usage of
conventional and non-conventional cellular bioassays for estimating herbicide toxicity
as well as the putative indications of these agrochemicals as antiparasitic compounds
outside their classical, recognized herbicide use.
Many researchers have contributed to the publication of this book. Given the fast pace
of new scientific publications shedding light on the matter, this book will probably be
outdated very soon. We regard this as a positive and healthy fact. The editors hope
that this book will continue to meet the expectations and needs of all interested in the
methodology of use of herbicides, weed control as well as problems related to their use,
abuse and misuse.
Sonia Soloneski and Marcelo L. Larramendy
Faculty of Natural Sciences and Museum,
National University of La Plata
Argentina
Part 1
Weed Control and Crop Management
1
Weed Control in Conservation Agriculture
Andrew Price1 and Jessica Kelton2
1United
States Department of Agriculture
2Auburn University
United States
1. Introduction
Prior to the introduction of the selective herbicide, 2,4-D (2,4-dichlorophenoxyacetic acid), in
the 1940’s, weed control in agricultural crops was primarily achieved through mechanical
cultivation of the soil. Since that time, an increasing number of effective herbicide options,
paired with tillage operations, have allowed agricultural producers in developed countries
to significantly increase crop yields while reducing labor demands. Continuation of these
practices that rely on intense soil disturbance, however, have helped fuel concerns over
agricultural sustainability in light of the severe soil degradation that occurs under these
conditions. In response to continued soil depletion and other environmental impacts from
agricultural production, conservation agriculture has been promoted as a means of
maintaining high crop productivity and increasing economic potential while preserving
natural resources and limiting future environmental damage. To achieve goals proposed
with conservation agriculture, innovative weed control strategies including chemical
methods have and will continue to be an essential component in the development of
sustainable agricultural practices.
An understanding of the fundamental components of conservation agriculture is imperative
in order to appreciate the necessity for weed control strategies in these practices as well as
the difficulties associated with their development. To that aim, our purpose, in part, is to
identify the key components of conservation systems and the evolution of herbicide needs
within these practices. Secondly, we present the strategy of high-residue cereal cover crop
implementation that can be utilized in conjunction with chemical weed control methods to
address the changes in weed control requirements in agricultural settings. Finally the
research synopses detail recent and ongoing efforts to ensure the availability of effective
herbicide applications within conservation agriculture.
2. Defining conservation agriculture
As the global population expands, food demands placed on agricultural production systems
will test the capabilities of current agriculture practices. Moreover, adequate food
production in the future can only be achieved through the implementation of sustainable
growing practices that minimize environmental degradation and preserve resources while
maintaining high yielding, profitable systems. To this end, conservation agriculture is a
system designed to achieve agricultural sustainability by improving the biological functions
of the agroecosystem with limited mechanical practices and judicious use of chemical inputs
(FAO, 2010).
4
Herbicides, Theory and Applications
Three core elements of conservation agriculture make possible the objectives of this system
including minimal tillage operations, permanent vegetative residue for soil cover, and
rotation of primary crops (FAO, 2010). From these components, a more narrow focused
system has been defined as conservation tillage which seeks to reduce, although not
necessarily eliminate, tillage practices and increase residual soil covering, which may not be
permanently maintained, to achieve similar goals as conservation agriculture (Hobbs, 2007).
While sometimes mistakenly used synonymously, it is the less intensive conservation tillage
system that has become more recognized, and adopted, within the agricultural community.
A host of benefits can be achieved through employing components of conservation
agriculture or conservation tillage, including: reduced soil erosion and water runoff,
increased productivity through improved soil quality, increased water availability,
increased biotic diversity and reduced labor demands (Steiner et al., 2000; Hobbs, 2007).
Despite both environmental and production advantages offered through conservation
systems, adoption rates have previously lagged in many countries due to several factors
including: availability of required equipment, lack of information, producer mindsets, and,
initially, weed control issues (Kells and Meggitt, 1985; Derpsch and Friedrich, 2009).
However, recent estimates of global adoption rates of no-tillage systems have reported a
substantial increase in hectares (ha) under these practices up to 105 million ha in 2008
worldwide from 45 million ha a decade ago (Derpsch and Friedrich, 2009). This increase in
conservation practices can partially be attributed to increased awareness of benefits
provided through conservation systems and the growing need for agricultural
sustainability, but recent technological advancements and refined implementation strategies
have also afforded growers an opportunity to adopt these practices with greater confidence
and ease.
Presently, research in conservation practices continues to offer innovative strategies for
applying conservation systems in many landscapes, climates, and crop settings, in
developed or developing countries. Continued efforts to improve adoption rates as well as
address current issues, such as herbicide resistance, are necessary to ensure that the global
agricultural productivity can be maintained for future generations.
3. Herbicide requirements in conservation systems
The shift from conventional tillage practices, where the soil is turned prior to planting, to
conservation practices, where tillage is reduced to a minimum, can be particularly difficult
with respect to weed control. Successful weed control requires a producer’s attention
throughout the season in order to achieve an optimal harvest. In systems with intense tillage
operations, growers can obtain early season weed control through turning of the soil which
disrupts weed seed germination and seedling growth through burial (Steckel et al., 2007).
The use of selective herbicide applications over the top of the crop at a later date can, most
often, sufficiently reduce weed pressure until the end of the season. In cases where there is a
history of a difficult to control weed species emerging, producers have the option to use a
preemergent, soil applied herbicide with residual efficacy to further reduce weed
germination. Although weed control in tilled systems is no small task, conservation systems
have presented an even greater challenge to achieve the same results until recently.
Many weed species within agricultural settings are able to flourish when intense tillage
operations are minimized. Therefore, conservation systems have been characterized by
greater weed densities than conventionally tilled agricultural productions (Cardina et al,
Weed Control in Conservation Agriculture
5
2002; Sosnoskie et al., 2006). With reduced tillage practices, producers have increasingly
relied on herbicide control options to obtain satisfactory crop yields; however, the initial
availability of effective herbicide formulations was limited for conservation tillage. With a
reduction in tillage, producers lose weed control offered from seed burial as well as the
option to incorporate soil applied preemergent herbicides. Moreover, soil applied herbicides
that do not require incorporation can have reduced persistence and efficacy in the presence
of plant residue that may intercept and bind the chemical before it reaches the soil surface
(Potter et al., 2008). This loss of control options has forced producers wishing to adopt
conservation practices to be primarily dependent upon postemergent chemical applications
which, oftentimes, fail to provide adequate weed control. To further complicate attempts to
adopt conservation practices, growers initially face shifts in weed population dynamics due
to altered distribution of weed seed within the soil (Buhler, 1997); perennial weed species
also thrive in reduced-tillage settings and can be difficult to control with available
postemergent herbicide options (Swanton et al., 1993). Although studies report that, over
time, the weed seedbank, or viable weed seed within the soil, will be reduced and/or easier
to manage with chemical controls due to increased selection pressures and increased
uniform germination, initial weed control strategies have remained challenging for
agricultural lands being switched to conservation tillage practices (Murphy et al., 2006;
Swanton et al., 2008).
The introduction and advances with herbicide-tolerant crops made in the last 15 years have
greatly altered the herbicide needs in conservation systems for those who use these
technologies; however in developing regions with limited access to herbicide options or in
areas where herbicide-resistant weed species have compromised the use of herbicidetolerant crops in conservation systems, early weed management tactics and control issues in
reduced tillage practices remain relevant for growers.
4. Introduction of herbicide resistant crops
In the 1990’s when transgenic, herbicide-tolerant crops were first introduced, reducedtillage, in the United States at least, became a viable option for many producers. The
availability of transgenic crops with resistance to a nonselective herbicide, such as
glyphosate, has provide the means for effective postemergent herbicide control of a broad
spectrum of weed species while reducing labor demands and repeated herbicide
applications. By combining this crop technology with conservation tillage, producers have
been able to further reduce labor expenses and boost profitability. Partly through the
combination of these practices, conservation tillage has been implemented on over 26
million hectares to date in the United States alone (Derpsch and Friedrich, 2009).
The process of developing and commercializing a transgenic crop cultivar is a complex and
costly endeavor which has limited commercial availability of genetically modified crop
varieties. For the development of a transgenic crop, particularly an herbicide-tolerant crop,
to be pursued, several factors must be investigated including: spectrum of weed control
provided by the herbicide, safety risks to humans and the environment, yield performance
of genetically modified crop, and economic value of the crop (Devine, 2005). Currently, only
a select few herbicide-tolerant crops have been fully developed, marketed, and remain
commercially available although the technology exists to produce tolerant varieties for
many major and minor crops throughout the world (Devine, 2005)(Table 1).
6
Herbicides, Theory and Applications
Herbicide
Glufosinate
Crop
Glyphosate
Year Commercialized
Canola
1995
1996
Corn
1997
1998
Cotton
2004
1997
Soybean
2009
1996
Table 1. Currently available transgenic crops by herbicide tolerance and year available.
Since identifying selective herbicide compounds that are active on weed species and not on
a particular crop can be a difficult process, conferring herbicide tolerance of a non-selective
herbicide to a crop can be tremendously valuable for effective weed control (Mazur and
Falco, 1989). From the non-selective herbicides available for use, two key herbicides have
been the focus for herbicide-tolerant crops: glufosinate and glyphosate (Devine, 2005).
The broad spectrum herbicide, glyphosate (N-(phosphonomethyl)glycine), works through
the inhibition of 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS), an enzyme
required for the production of aromatic amino acids which are necessary for subsequent
production of plant hormones and structural components (Schönbrunn et al., 2001; Dill,
2005). The means for conferring glyphosate resistance to crops is achieved through the
insertion of a resistant transgene, referred to as CP4-EPSPS, which allows the plant’s
shikimate pathway to continue to function in the presence of glyphosate applications (Funke
et al., 2006). Since the release of glyphosate-tolerant soybean (Glycine max L.) in 1996,
adoption of this technology has soared in several industrialized countries, such as the
United States, Argentina, and Brazil, and represents a majority of the soybean being
produced in these areas (Dill, 2005). The introduction of other major crops with glyphosate
tolerance soon followed with successful adoption due to the weed control efficacy, ease of
use, and lower production costs from reduced herbicide applications.
Glufosinate, or L-Phosphinothricin, also a non-selective herbicide, acts as an inhibitor of
glutamine synthetase which impedes the production of amino acids and inhibits
photosynthesis (Dröge-Laser et al., 1994; Ross and Lembi, 1999). Glufosinate-tolerant plant
varieties are produced through the encoding for phosphinothricin acetyltransferase (PAT)
proteins which detoxify glufosinate through N-acetylation (Dröge et al., 1992; Hérouet et al.,
2005). Glufosinate-tolerant canola (Brassica napus L.) was introduced in Canada in 1995 with
relative success (Devine, 2005; Duke, 2005). Other tolerant crop varieties have been
successfully released since that time but have yet to gain as large of a market share as
glyphosate-tolerant varieties potentially due to economic advantages not being realized and
the lack of translocation of glufosinate which can limit its efficacy for certain weed species
(Duke, 2005).
With the availability of effective broad-spectrum weed control without tillage operations
and repeated use of herbicides, conservation tillage saw substantial increases after the
introduction of herbicide–tolerant crop varieties. Employing the use of herbicide-tolerant
Weed Control in Conservation Agriculture
7
crops with conservation systems offered growers even greater costs savings than utilizing
either practice alone and continue to do so today. The adoption of glyphosate-tolerant crops
was especially suited to conservation systems since glyphosate can effectively control many
perennial species that appear when tillage practices are reduced (Ross and Lembi, 1999).
Glyphosate-tolerant crops provided such effective control, the use of glyphosate, due, in
part, to biotechnology, has become the predominant herbicide used globally (Baylis, 2000).
Unfortunately, the cost effectiveness and weed control advantages, paired with limited
herbicide choices (primarily in conservation tillage), of glyphosate-tolerant technology have
compelled some growers in conventional as well as reduced-tillage systems to rely solely on
this herbicide for agricultural productivity. Because of this, in some regions, the
sustainability of both conservation tillage and glyphosate use has been threatened due to
this overdependence and development of glyphosate resistance in multiple weed species.
5. Herbicide resistance in weed species
As early as the 1950’s, shortly after widespread herbicide use began, concerns were being
voiced about the possibility of herbicide-resistant weed biotypes appearing as a result of
repeated exposure to one herbicide (Appleby, 2005). It was not until 1970, however, that the
first case of herbicide resistance was formally documented in triazine-resistant common
groundsel (Senecio vulgaris L.) (Ryan, 1970). Since that time, 346 herbicide-resistant weed
biotypes have been reported worldwide and continue to demand considerable research
attention to control existing resistance as well as to combat the further spread of resistant
populations (Appleby, 2005; Heap, 2010).
Although almost all herbicide modes of action have seen resistance development, the
introduction of glyphosate-tolerant crops has been a prominent factor to the development of
glyphosate-resistant weed species for this herbicide (Powles and Yu, 2010). The steady
adoption rate of herbicide-tolerant crops has been met with a simultaneous increase in the
use glyphosate applications, particularly in conservation systems where minimal herbicide
alternatives exist (Askew and Wilcut, 1999; Dill, 2005; Duke and Powles, 2008). The initial
success of this weed control strategy has lead many producers to rely exclusively on this
single herbicide mode of action to maintain acceptable weed control year after year (Green,
2007). Unfortunately, repeated exposure to glyphosate has greatly increased selection
pressure for resistant weed biotypes among affected populations resulting in agricultural
weed infestations with limited or no known control options at present (Culpepper, 2006).
Rapid development of herbicide resistance is evident in the number of confirmed cases of
glyphosate resistance since 1996 which has appeared in 18 different weed species and on all
agriculturally productive continents (Figure 1).
From the beginning of glyphosate use in 1974 as a nonselective herbicide in nonagricultural
settings, it was believed that resistance development would be highly unlikely or very slow
in appearance if it did occur (Bradshaw et al., 1997). At the time, naturally resistant weed
species had not been identified, modifications to confer resistance resulted in low levels that
could not survive glyphosate applications or reduced the plant’s fitness level, and typical
use patterns did not increase selection pressure for resistant biotypes (Dyer, 1994; Padgette
et al., 1995; Bradshaw et al., 1997). Indeed, glyphosate use successfully utilized without
incident for over 2 decades before a resistant biotype of rigid ryegrass (Lolium rigidum
Gaudin) was identified in 1996 (Powles et al., 1998). However, since the release of herbicide-
8
Herbicides, Theory and Applications
tolerant crops, several resistant weed biotypes have been reported in glyphosate-tolerant
systems in as little as 3 years (Green, 2007; Duke and Powles, 2008).
Mechanisms for herbicide resistance development vary greatly depending on many factors
such as weed species and herbicide in use. When resistance emerges, it can be classified as
either target-site resistance, where modifications to the active site for an herbicide limits its
toxicity, or non-target-site resistance, where herbicide movement to the active site is limited
in some fashion (Powles and Yu, 2010). Identified resistance mechanisms for glyphosate are
comprised of both classifications of resistance, including target-site modifications, gene
amplification, as well as reduced herbicide translocation (Lee and Ngim, 2000; LorraineColwill et al., 2003; Gaines et al., 2010). It is likely that new mechanisms for glyphosate
resistance will continue to be discovered within current herbicide practices which will
require intensified research in order to develop innovative management practices that
preserve glyphosate use in many agricultural settings (Powles and Yu, 2010).
Managing for herbicide resistance remains a key component in current developments for
weed control. Proactive weed control practices that reduce initial resistance development
are vital for herbicide viability in the future (which is necessary for sufficient agricultural
production). In order to ensure sustainability in herbicide-tolerant crop production and
conservation practices, many weed control techniques are currently being employed and
evaluated.
Fig. 1. Global development and spread of glyphosate resistant weed species. Adapted from
Heap 2010.
6. High-residue cereal cover cropping
The continued appearance of herbicide-resistant weed species following the introduction of
herbicide-resistant crops has been detrimental to conservation tillage systems where
feasibility relies on this technology. In an effort to preserve conservation tillage and,
subsequently, the benefits realized through these practices, current research has been
directed at identifying alternative weed control strategies that can be employed in herbicideresistant crop settings, which remain a valuable asset to conservation tillage practices, while
minimizing favorable conditions for resistance development. Options for weed control must
Weed Control in Conservation Agriculture
9
reduce selection pressure for herbicide resistance as well as provide season long weed
suppression in order to be viable components of a new weed control strategy. Alternatives
to repeated use of a single herbicide include: crop rotation, improved management practices
(such as weed scouting and herbicide application timing), alternative herbicide chemistries,
and use of high-residue cover crop systems (Price et al., 2009). Ideal alternative growing
practices would incorporate several of these strategies to protect against resistance
development, however, the use of a particular practice, high-residue cover cropping, is
proving to be an exceptional weed control technique in conservation systems.
Recent evaluations of cereal cover crop use, particularly high residue systems that achieve
approximately 4,500 kilograms of residue per hectare (Reiter et al., 2008), have demonstrated
a promising method for battling herbicide dependence and providing a sustainable
approach for the continuation of conservation tillage (Figure 2). The high-residue cover crop
system, when utilized in a reduced-tillage system, can further reduce soil erosion and water
runoff, improve soil fertility, and, with legume covers, reduce nitrogen input needs. These
winter cereal crops or legumes can also improve weed control through both physical
barriers of plant residue and chemical interference in the form of allelopathic compounds
released by the cover crop. Although concerns have been raised about the potential for
reduced crop yields and increased need for more herbicide applications, research continues
to show that these practices can be successfully implemented into conservation tillage
(Balkcom and Reeves, 2005; SAN, 2007; Price et al., 2008; Reiter et al., 2008).
A variety of options are available to a producer wishing to utilize a winter cover crop
between the primary growing season depending on the crops grown, climate, and needs of
the system. For example, legume cover crops, such as clover (Trifolium sp.) and vetch (Vicia
sp.), can potentially reduce nitrogen requirements for the following crop but may not
provide season-long weed control; cereal cover crops, like rye (Secale cereale L.) and oat
(Avena sp.), can provide longer weed control throughout the season can also reduce
available soil nitrogen (SAN, 2007). Besides legume and cereal crops, brassica and mustard
species are also of interest for cover crop use due to their potential for pest management.
Cover crops can reduce weed numbers physically and chemically while actively growing or
after termination. Prior to termination, cover crops can compete with weed species for
necessary resources such as light, water, and nutrients; cover crops can also release
allelochemicals into the soil which may be detrimental to nearby competing weed species,
particularly for small-seeded weeds (Weston, 1996; Foley, 1999; Price et al., 2008). After
termination, weed suppression occurs by physical impedance of weed species with cover
crop residue as well as continued leaching of allelochemicals into the soil (Weston, 1996).
These characteristics allow cover crops to offer early weed control as well as weed
suppression into the growing season (depending on the rate of decomposition).
Although the use of cover crops in production systems is a viable option for producers,
there are still concerns that must still be investigated. High-residue cover crops, before
termination, can deplete soil moisture needed by the primary crop (SAN, 2007); conversely,
dense plant residue can retain excessive amounts of moisture during periods of high rainfall
(Fernandez et al., 2008). Lower soil temperatures, increased plant pest populations, as well
as planting operation interferences, such as poor soil-to-seed contact, have also been
attributed to high levels of cover crop residue (Fernandez et al., 2008; Kornecki et al., 2009).
Additionally, high levels of plant residue are thought to impede herbicide movement to the
soil surface through interception and sorption leading to reduced weed control under cover
10
Herbicides, Theory and Applications
crop systems (Johnson et al., 1989; Gaston et al., 2003). Future adoption of these practices will
be dependent upon continued research in many areas but especially in determining effective
herbicide strategies to be employed in combination with high-residue systems.
Fig. 2. Cotton (Gossypium hirsutum L.) planted into a soil cover of black oat (Avena strigosa
Schreb.).
7. Development of effective weed control strategies for use in conservation
systems
The growing adoption rate of conservation practices and interest of high-residue cover crops
has spawned an increase in research geared toward understanding the fit of herbicides into
the sustainable agricultural landscape. Case studies described here illustrate recent projects
in three major crop systems designed to determine the most effective production practices,
including herbicide choice, that can be employed for successful adoption of high residue
cover crop systems which will ultimately aid in reducing herbicide resistance and preserve
sustainable agricultural practices for the future.
Peanut (Arachis hypogaea L.), cotton, and soybean comprise a substantial portion of the
agricultural hectarage in the southeastern United States. A large percentage of growers in
this region utilize some form of conservation tillage due to its economic benefits such as
reduced labor and fuel expense. Use of cover crops managed for high-residue in these
systems remains largely untried due to grower concerns about herbicide input requirements
and poor yields (Schwab et al., 2002). To investigate these concerns, a three year study was
conducted in Headland, Alabama, in the southeastern US, to determine the effects of a
Weed Control in Conservation Agriculture
11
winter cereal cover crop on primary crop yield as well as to identify effective herbicide
practices (Price et al., 2005; Reeves et al., 2005; Price et al., 2007).
In order to achieve high-residue stands, three winter covers, rye, wheat (Triticum aestivum L.),
and black oat (Avena strigosa Schreb.), were established in November at a rate of 120 kg/ha
with 56 kg ammonium nitrate and terminated three weeks prior to planting of the primary
crop in the spring of the following year. A winter fallow system of annual weeds was included
as a comparison and as a representation of the common conservation practice by regional
producers. After termination with glyphosate as a burndown herbicide at a rate of 1.12 kg
ae/ha, cover crops were rolled flat on the surface with a mechanical roller-crimper.
Crops were planted into a strip-tilled bed that limits tillage to a small area, approximately 30
cm, for seed placement. Three herbicide treatments were included for evaluation and
consisted of a preemergence (PRE) herbicide application only (low input system), a PRE
plus a postemergence (POST) herbicide application (high input system), or no herbicide
application (no input system). Peanut and cotton received pendimethalin [N-(1ethylpropyl)-3,4-dimethyl-2,6-dinitrobenzenena-amine] as a PRE at a rate of 1.12 kg ai/ha
and soybean received this herbicide treatment at a rate of 0.84 kg ai/ha. Additional PRE
herbicides included metribuzin [4-amino-6-(1,1-dimethylethyl)-3-(methylthio)-1,2,4-triazin5(4H)] at 0.43 kg ai/ha for soybean and fluometuron [1,1-dimethyl-3-(a,a,a-triluoro-m-toly)
urea] at 1.7 kg ai/ha for cotton. Postemergent herbicides included: paraquat (1,1’-Dimethyl4,4’-bipyridynium dichloride) (0.14 kg ai/ha), bentazon [3-(1-methylethyl)-1H-2,1,3benzothiadiadiazin-4(3H)-one 2,2-dioxide] (0.56 kg ai/ha), 2,4-DB [4-(2,4-dichlorophenoxy)
butyrate] (0.22 kg ai/ha), and chlorimuron ethyl {ethyl 2-[[[[(4-chloro-6-methoxypyrimidin2yl)]carbonyl]amino]sulfonyl]benzoate} (0.14 kg ai/ha) for peanut; DSMA (Disodium
methanearsonate) (1.7 kg ai/ha), lactofen {2 ethoxy-1-methyl-2-oxoethyl 5-[2-chloro-4(trifluoromethyl)phenoxy]-2-nitrobenzoate} (0.2 kg ai/ha) and cyanazine {2-[[4-chloro-6(ethylamino)-1,3,5-triazin-2-yl]amino]-2-methylpropanenitrile} (0.84 kg ai/ha) for cotton;
and chlorimuron ethyl(8.75 g ai/ha) for soybean. Herbicide options reflect current herbicide
use in the respective crop.
At cover crop termination, biomass samples were weighed for each cover. First year results
averaged 5,450 kg/ha for black oat, 5,130 kg/ha for rye, 5,100 kg/ha for wheat, and 1,410
kg/ha for fallow systems with the predominant weed species being cutleaf evening
primrose (Oenothera laciniata Hill) and chickweed [Stellaria media (L.) Vill.]. Biomass residue
levels for all cover crops in this year exceeded amounts considered the minimum for highresidue systems. Averages for cover crop weights were in line with previously reported
biomass weights (Bauer and Reeves, 1999).
Visual weed control ratings (as a percentage of control) for year 1 are presented in Table 2.
Dominant weed species in research plots for all crops included: large crabgrass [Digitaria
sanguinalis (L.) Scop.], Texas panicum (Panicum texanum Buckl.), nutsedges (Cyperus
esculentus L. and Cyperus rotundus L.), sicklepod [Senna obtusifolia (L.) Irwin and Barnaby],
and Palmer amaranth [Amaranthus palmeri (S.) Wats.]. Analysis of data revealed significant
effects on weed control from both cover crop and herbicide input treatments. Although no
cover crop provided optimum season-long weed control without herbicide applications,
black oat and rye did provide substantial weed control in peanut and soybean without
herbicides; low herbicide input treatments, however, had acceptable weed control in peanut
and soybean, especially in black oat and rye covers. In years 2 and 3 (data not shown), weed
12
Herbicides, Theory and Applications
control was reduced in all covers, particularly black oat, due to below-average winter
temperatures inhibiting cover crop growth and biomass production. Crop yields in cover
crop systems were increased over fallow systems for all crops, however, yields were greatly
reduced in systems without any herbicide application (Table 3). Increases in yield noted in
cover crops systems over fallow systems are attributed to reduced weed pressure as well as
other benefits from conservation systems that are amplified when high-residue cover crops
are employed such as increased water infiltration and increased soil quality.
Results from this study show that high-residue cover crop systems can be effectively
utilized in conservation systems with increased yield potential and possible reductions in
herbicide inputs for adequate weed control. Reduced herbicide dependence, without yield
decrease, can ultimately aid in reduced herbicide-resistance development and sustain
conservation tillage practices well into the future. For high-residue cover crops to be more
widely adopted, research continues to be necessary to fully understand the benefits, and
potential drawbacks, of their use at a regional level as well as to define the most effective
cover crop choices for producers in a variety of systems.
Cover crop
Cotton
Peanut
Soybean
Herbicide input system
Herbicide input system
Herbicide input system
High
High
High
Low
None
----Weed control (%)---
Low
None
----Weed control (%)---
Low
None
----Weed control (%)---
Fallow
94
86
13
91
88
24
92
85
29
Black oat
95
91
35
93
94
70
95
95
86
Rye
94
89
26
94
93
61
95
95
83
Wheat
94
87
14
94
93
43
95
91
61
Table 2. Weed control for year 1 in cotton, peanut, and soybean by percent control for four
cover crop options and three herbicide inputs (by intensity) where 100 is total control and 0 is
no control.
Cotton
Herbicide input system
Cover
crop
Fallow
Black
oat
Rye
Wheat
High
Low
None
Peanut
Herbicide input system
Soybean
Herbicide input system
High
High
Low
None
Low
None
---Seed cotton (kg/ha)---3660
3010
0
---Peanut (kg/ha)--4280
4100
2030
---Soybean (kg/ha)--4031
4031
1344
3840
3630
0
4760
4740
3190
6719
7391
6047
3980
3970
3350
3120
0
0
4690
4670
4850
4420
3460
2500
6047
6719
6719
6719
6047
4703
Table 3. Crop yield for year 1 as affected by three herbicide inputs and four cover crop
options. No yield could be collected for cotton without herbicide input.
Weed Control in Conservation Agriculture
13
8. Conclusions
Conservation systems are necessary to preserve agricultural productivity and meet future
global food demands. To implement these systems, adequate weed control is crucial in their
success. Herbicide use has been a valuable asset when adopting conservation practices,
however, prudent use of chemical weed control is essential to fulfilling the goals of
conservation agriculture, reducing detrimental environmental impact, and reducing
herbicide resistance development. Further development and testing of alternative weed
management practices that can be utilized along with herbicide applications must be
pursued in order for conservation practices to remain successful.
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2
Weed Management Systems for
No-Tillage Vegetable Production
S. Alan Walters
Department Plant, Soil, and Agricultural Systems,
Southern Illinois University, Carbondale, Illinois
USA
1. Introduction
No-tillage (NT) is the extreme form of conservation tillage where the soil is left undisturbed
before planting and crops are just planted into residues left on the soil surface (Morse 1999a).
The direct seeding of large-seeded vegetables has generally provided successful crop
establishment in NT production systems, although many vegetable crops can easily be
transplanted in NT production systems including broccoli (Brassica oleraceae var. italica),
cabbage (Brassica oleraceae var. capitata), cucumber (Cucumis sativus L.), pumpkin (Cucurbita
pepo L.), squash (Cucurbita pepo L.) and tomato (Solanum lycopersicum L.) (Table 1). Planting is
normally achieved in a narrow seedbed or slot created by a NT planter (Hebblethwaite 1997).
No-tillage planters are typically equipped with coulters that cut through the mulch residue
and disk openers that slice open the soil, with the seed or transplants then placed at proper
depths in the soil profile. The opened soil is then closed with some type of device that presses
the soil back together after the seed or transplants have been placed into the soil.
Planting method
Vegetable Crop
Broccoli
Cabbage
Cucumber
Pumpkin
Summer squash
Tomato
Direct seeded
Low
Low
High
High
High
Low
Transplanted
High
High
High
High
High
High
Low = poor likelihood of success using this method and High = great likelihood for success using this
method.
Table 1. The likelihood of success for vegetable crop planting method in no-tillage
production systems (adapted from Morse, 1999a)
1.1 Effects of No-Tillage systems
No-tillage systems are gaining increased attention by growers as a practical way to produce
vegetables while improving soil quality parameters at the same time. Many vegetable
growers are interested in NT production practices for many different reasons besides just
18
Herbicides, Theory and Applications
decreasing the overall cost of production. No-tillage provides several advantages to
conventional tillage (CT; e.g., plowing and disking of soil) including reduced soil and wind
erosion, soil water conservation and the addition of organic matter to the soil (Barnes &
Putnam 1983, Blevins et al. 1971). However, an adverse effect of NT vegetable production is
that organic mulches or residues on the soil surface significantly decrease soil temperatures,
especially during the spring, which can significantly reduce seedling emergence and vigor,
and delay vegetable crop maturity. This is especially important since the earliness of
production is often important in the marketing and profitability of many vegetable crops.
Walters & Young (2008) found that soil covered with winter rye (Secale cereale L.) residues
used for NT zucchini squash production will generally provide about a 5 to 6oC reduction in
soil temperature compared to bare soil. Walters et al. (2007) found that the use winter rye
enhanced early cucumber yields under drought conditions, but early yields were
suppressed when cooler weather conditions prevailed. Thus, early yields of many
vegetables can be significantly affected when using cover crop residues depending on
seasonal growing conditions.
1.2 Importance of weed control in No-Tillage systems
Although the loss of vegetable crop earliness can be a problem, the adoption of NT practices
by commercial vegetable growers has been limited primarily due to the lack of effective
weed management in this type of production system. Although all vegetation is often
herbicide-killed before planting to achieve a weed-free, stale-seedbed in NT systems,
vegetable growers have been reluctant to use NT production practices due to the problem of
weed control. Several researchers (Hoyt & Monks 1996, Hoyt et al. 1996, Masiunas et al.
1995, Shelby et al. 1988, Walters & Kindhart 2002) indicate that NT significantly increases
weed problems in vegetable production. Weeds often become the primary problem in NT
production systems, since between-row tillage is often used to reduce weed populations that
preemergence (PRE) herbicides fail to control in CT systems. Weedy fields have been a
major deterrent to the adoption of NT vegetable crops, especially when growers failed to
achieve uniformly distributed, high-residue mulched fields (Morse 1999b, Morse et al. 2001).
Although NT provides greater overall weed control compared to conventional tillage, which
most likely results from tillage promoting weed germination by exposing dormant seeds to
oxygen and sunlight (Teasdale et al. 1991), effective weed control soon after crop emergence
is essential during the early part of the growing season to prevent weeds from suppressing
vegetable crop yield and quality. Current weed control programs in NT systems
recommend the use of nonselective herbicides to kill the cover crop or control emerged
weeds in residues, followed by an application of PRE and then postemergence (POST)
herbicides. No-tillage systems often require more herbicides than do CT programs (Wallace
& Bellinder 1992). Although herbicides are typically used as the primary means for weed
control in NT vegetable systems, those available for most vegetable crops do not provide
season-long weed control. Thus, effective weed management systems must be developed for
NT vegetable production before NT will be widely utilized by growers.
1.3 Effects of No-Tillage on weed species and population densities
The use of NT production practices has a definite influence on the weed species composition
and density. Tillage practices have a significant influence on weed population and species
Weed Management Systems for No-Tillage Vegetable Production
19
composition by modifying the soil environment (Putnam et al. 1983). Weed species, soil seed
density, seed production, and surface residue can all affect weed population dynamics
under different tillage systems (Teasdale et al. 1991). Although cultivation generally
stimulates weed emergence compared to NT production systems, the effects of NT on weed
populations have been highly variable depending on environmental conditions as well as
herbicide performance. Putnam (1986) and Putnam & DeFrank (1983) indicated that grasses
and perennial weed species tend to dominate weed communities in reduced tillage systems
over time, although shorter term studies have had mixed results (Masiunas et al. 1995,
Teasdale et al. 1991). Research has indicated that although weed control by cover crop
mulches lasts from about 30 to 75 days (Barnes & Putnam 1983, Creamer et al. 1996,
Masiunas et al. 1995, Moore et al. 1994), weed species respond differently to cover crop
mulches. Cover crop residues can also influence weed populations in NT cropping systems
due to the proximity of the residue to the site of seed germination on the soil surface.
Teasdale et al. (1991) indicated that tillage and cover crops can influence weed populations,
the rate of population growth, and species composition. Seedling emergence of several
weeds in NT was consistently suppressed by winter rye and wheat (Triticum aestivum L.)
surface residues compared to CT (Blum et al. 1997). Generally, surface residues prevent
germination of small seeded annual species that require light for germination, such as
common lambsquarters (Chenopodium album L.) and various species of Amaranthus (e.g.,
redroot pigweed, Amaranthus retroflexus L.), whereas surface mulches do not generally
prevent the germination of large-seeded annuals and perennials. Morse (1999a) indicated
that fields planted to NT should not have serious perennial weed problems such as
nutsedge (Cyperus spp.), quackgrass [Agropyron repens (L.) Beauv.], johnsongrass [Sorghum
halepense (L.) Pres.], or morningglory (Ipomoea spp.). Furthermore, Masiunas et al. (1997)
and Derken et al. (1993) indicated that prostrate pigweed (Amaranthus blitoides S. Wats.) was
more common in CT than in cropping systems with surface residues. In NT and high
residue mulch systems there tends to be more wind dispersed species [e.g., dandelion
(Taraxacum officinale Weber)] than in CT (Bottenburg et al. 1997). Although NT cover crop
systems reduce weed populations, the use of a residual herbicide is still required to prevent
weed populations from increasing to severe field infestation levels. Kruidhof et al. (2009)
indicated that the optimal cover crop residue management strategy for weed suppression
depends on the cover crop species and the target weed species.
2. Production systems for No-Tillage vegetables
Several different production systems have been evaluated for NT vegetables. Although the
vegetable crop planting method plays a major role in the successful production of NT
vegetables (Table 1), the production system utilized for NT vegetables has shown to have a
definite influence on the resulting productivity of the crop.
2.1 Bare soil systems
A bare soil NT system will improve weed control compared to CT (Moore et al. 1994, Walters
et al. 2008), since the use of NT avoids bringing new weed seeds closer to the soil surface
where they can germinate and increase weed densities (Derken et al. 1993). The presence of
surface residue and lack of soil disturbance in NT were likely contributing factors that
significantly influenced weed control even in the absence of herbicides (Walters et al. 2008).
However, most growers will include cover crops when using NT for various reasons.
20
Herbicides, Theory and Applications
2.2 Cover crop based systems
Cover crops reduce the amount of soil erosion that is likely to occur compared to a bare soil
system, as well as reducing water evaporation from the soil and increasing infiltration,
generally resulting in greater soil moisture than bare soil systems. Cover crops will also
provide additional weed control compared to that achieved with only a bare soil system.
Furthermore, cover crops provide many other benefits that improve soil characteristics. A
cover crop is any living ground cover that is planted into or after the primary crop and is
commonly killed before the next crop is planted. The primary benefit of cover crops is
reduction of water runoff and soil erosion, which ultimately results in improved soil
productivity. Griffith et al. (1986) indicated that the use of cover crop residues for NT
planting protects the soil surface from erosion by absorbing the impact of raindrops, thus
reducing soil particle detachment and decreasing the acceleration of runoff; additionally,
increased water infiltration and reduced soil water evaporation under NT generally
increases plant-available water and subsequent crop yield potential. The presence of 1 to 2
Mg.ha-1 of crop residues on the soil surface on sloping lands can reduce water runoff and
soil erosion losses by 40 to 80% compared to bare soil (Meyer et al. 1970).
Cover crop residues are often used as part of a weed management program in vegetable
cropping systems (Leather 1983, Masiunas 1998, Putnam 1986). Cover crop mulch systems
modify the microenvironment, which has an impact on weed populations and vegetable
crop yields (Masiunas 1998). Although the combination of NT and cover-cropping practices
have certain advantages over traditional tillage (e.g., plowing and disking of soil), there has
been limited research in vegetable crops, particularly when used in conjunction with
chemical weed control (Rapp et al. 2004). Cover crops are often integrated into NT
production systems for their weed suppressive ability and numerous researchers have
attempted to use cover crops as a method for weed control in vegetable crop production.
2.2.1 Types of cover crops used in NT systems
Two types of cover cropping systems are typically used in vegetable production, winter and
summer annuals. The majority of efforts have focused on fall seeded cereal grains
(especially winter rye) or perennial legumes, such as clovers (Trifolium spp.) or vetches
(Vicia spp.), although some research has been conducted on the use of summer annuals for
use as living mulches. Winter annual cover crops have been successfully incorporated into
NT production systems and are the most widely used type of cover crop in NT systems.
Summer annuals are rarely used in vegetable production, although they can provide several
advantages during the summer months including weed suppression, increasing nitrogen
levels in soil for subsequent crops, preventing the leaching of soil nitrogen, improving soil
physical properties, and adding organic matter to the soil.
Winter annual cover crops include many cereal grains such as barley (Hordeum vulgare L.),
wheat, and winter rye, as well as legumes like clovers and hairy vetch (Vicia villosa Roth.).
Cereals like winter rye or wheat are the most popular cover crops, since that are relatively
easy to establish and fast growing, and the seed is readily available and relatively
inexpensive. In contrast, legumes do not cover the soil as quickly, although they do improve
soil nitrogen levels that can be used by the following crop. An ideal cover crop should
prevent erosion, suppress weeds, scavenge excess nutrients, and add organic matter back
into the soil. Small grain cover crop residues suppress weeds by modifying light,
temperature, moisture, and the chemical environment of germinating weeds (Putnam 1986,
Weed Management Systems for No-Tillage Vegetable Production
21
Teasdale et al. 1991). Small-seeded annual weed species, such as redroot pigweed and
common waterhemp (Amaranthus rudis Sauer), require light for germination and residues on
the soil surface will prevent germination (Teasdale et al. 2004); however, as straw mulch
residues decompose, more light reaches the soil surface, resulting in germination of these
small seeded annual weeds and greater weed pressures later in the growing season. Thus,
small grain cover crops can contribute to weed control in NT systems but herbicides or other
weed control tactics are generally necessary to obtain optimal weed control and crop yield.
Several different cereal grains are often used as cover crops for vegetable production
(Masiunas 1998). Barley is a fast growing, cool season, annual grain crop that can be used as
a cover crop for vegetable plantings. This plant can provide nonchemical weed suppression,
as it will often shade and smother weeds, or provide competition for soil moisture and
nutrients. In addition, barley has an allelopathic effect on weed germination. Although
winter wheat is typically grown as a cash grain crop, it can provide similar benefits as other
cereal crops. It has shown to work well in NT systems for weed control and will generally
provide similar results as winter rye (Walters & Young 2010). Winter rye is one of the best
winter hardy cover crops as it overwinters well and produces considerable biomass
(Putnam 1986, Weston 1990). It is also effective at capturing nutrients from soils and
provides a persistent weed suppressive mulch during the summer, although it can remove
soil moisture and immobilize nitrogen. However, some type of additional weed control is
generally required with winter rye residue to provide season-long suppression of weeds
(Masiunas et al. 1995, Teasdale 1993).
Many types of legumes can also be used in NT vegetable production systems. Although
there are many types of clovers that can be included as cover crops, white clover (Trifolium
repens L.) has been widely used in various vegetable crops. They are widely adapted
perennial nitrogen producers that protect soils from erosion and suppress weeds. White
clovers can be used in living mulch systems, as they can be broadcast over vegetables in late
spring to establish under the primary vegetable crop (Infante and Morse 1996). This plant
tends to grow slowly while shaded, and then grows more rapidly when it receives more
light. Hairy vetch is widely used as a winter annual legume cover crop. It will consistently
produce high biomass to suppress weeds with high nitrogen content and can be easily killed
in the spring by herbicides, mowing, or rolling (Teasdale 1999). Teasdale (1993) also
observed that light reduction may be more important than allelopathy or physical
impedance for weed suppression by hairy vetch residues. However, it only captures limited
amounts of nutrients from soils during the fall and winter and will only suppress weeds for
a limited amount of time due to rapid decomposition.
Cover crop research has focused primarily on winter annual crops, although summer
annual cover crops have potential applications in many regions. There are several summer
annual cover crops that can be used including buckwheat (Fagopyrum esculentum Moench),
sorghum-sudangrass [Sorghum X drummondii (Steudel) Millsp. & Chase], and soybean
[Glycine max (L.) Merr.] (Creamer & Baldwin 1999). These plants when grown at close
spacings will completely shade the soil surface which will suppress and outcompete weed
growth. Buckwheat can be grown during the summer months and will effectively suppress
weed growth and recycle nutrients. Sorghum-sudangrass is a warm-season annual grass
that grows well under hot, dry conditions and will produce high amounts of biomass; it is
also very effective at suppressing weeds, reducing soil erosion, and recycling nutrients.
Soybean produces an erect, bushy plant that establishes quickly, improves nitrogen fertility
in the soil, and suppresses weeds.
22
Herbicides, Theory and Applications
2.2.2 Effects of intercropping cover crops for NT systems
Intercropping of different cover crop species can overcome some of the problems associated
with the use of a single cover crop species. The intercrop mixture of winter rye and hairy
vetch is widely used for vegetable production as it produces more biomass, does a better job
at protecting the soil, and provides better weed suppression than either species grown alone
(Mangan et al. 1995, Schonbeck et al. 1993). Winter rye intercropped with hairy vetch
provided 50% fewer weed seedlings compared to hairy vetch alone (Burgos & Talbert, 1996).
Many research studies have indicated that cover cropping systems using winter rye in
combination with hairy vetch can significantly suppress weeds in NT vegetable production
systems and in some instances, can eliminate the need for additional weed control.
However, in most situations, additional weed control measures will need to be implemented
as the use of cover crops alone will generally provide insufficient total-season weed
control.
2.2.3 Management of cover crops in NT systems
There are two basic approaches that are generally used in managing cover crops (Paine &
Harrison 1993). In mulch residue systems, the cover crop growth is killed in some manner
before planting the vegetable crop, whereas in living mulch (LM) systems, the companion
crop grows at the same time as the vegetable crop. The cover crop management system used
in NT really depends on the particular vegetable crop that is being grown, as certain crops
are more amenable to residue mulch systems while others can be managed in living mulch
systems.
Cover crops to be left on the soil surface for NT production must be killed, either with
herbicides or in a mechanical manner (Creamer & Baldwin 1999). Fall planted cover crops,
such as wheat or winter rye, are often herbicide-killed in the spring. Nonselective contact
herbicides, such as glyphosate or paraquat dichloride, are often used to desiccate cover
crops as well as other perennial and immature annual weeds growing in the field; and, these
herbicides should be used within two weeks of seeding or transplanting the vegetable crop
to ensure complete vegetative kill, otherwise another application will have to be made to kill
the weeds that are present. Although many cover crops are herbicide killed, there are
several methods for mechanically killing cover crops including undercutting, mowing and
rolling. A rolling stalk chopper or similar device can also be used to roll down cover crops.
Flail mowing and rolling can effectively kill mature winter rye, hairy vetch, crimson clover,
wheat, and mixtures of winter rye and hairy vetch (Dabney et al. 1991).
Living mulches are cover crops planted either before or with the primary crop and are
maintained as a living ground cover throughout the growing season of the crop. Living
mulches grow alongside or within a vegetable crop and can significantly reduce weed
populations, but they can often be difficult to manage in vegetable cropping systems
because they compete with the crop. The use of LMs can minimize erosion, decrease soil
temperatures, improve the rate of water infiltration, improve soil structure, enhance soil
microbial activity and increase crop yield (Hartwig & Ammon 2002). Since LMs can compete
for moisture and nutrients, they are not recommended for low-growing, shallow-rooted, or
drought-susceptible vegetable crops. Various grasses, legumes, and Brassica species have
been used as living mulches for NT vegetable production. Those LMs that are seeded and
established shortly before the vegetable crop is planted tend to provide less competition to
the crop and less weed suppression than those established several months prior to planting
Weed Management Systems for No-Tillage Vegetable Production
23
of the vegetable crop (Masuinas 1998). The success of a LM in reducing weed populations
depend on its ability to rapidly establish a ground cover and smother weeds without
competing with the vegetable crop (Putnam 1990). Living mulches that have been used in
vegetable production include perennial ryegrass (Lolium perenne L.), creeping red fescue
(Festuca rubra L. subsp. commutate), ladino clover (Trifolium repens L.), red clover (Trifolium
pratense L.), and sorghum [Sorghum bicolor (L.) Moench]. Perennial ryegrass is low growing
and will usually not grow higher than the vegetable crop which allows the vegetable crop to
photosynthesize at somewhat a normal rate. Although clovers improve nitrogen fertility of
soils, most clovers are low growing and produce allelochemicals (Harborne 1987) that
suppress weed populations. However, LMs, such as perennial ryegrass, sorghum, and clovers
compete with vegetable crops for light, moisture and nutrients (Shennan 1992). Bottenberg et
al. (1997) and Masuinas et al. (1997) indicated that perennial ryegrass provided a better LM
than did red clover in cabbage production; perennial ryegrass did not grow above the cabbage
foliage, but the growth of red clover was able to overtop the cabbage which restricted light
from reaching the crop canopy causing yield reductions.
The application of low herbicide rates may reduce the competitiveness of LMs, allowing
their use in vegetable production. However, Walters & Young (2008) found that a NT
herbicide suppressed winter rye LM system provided excessive amounts of zucchini squash
stunting which significantly reduced yield. Nicholson & Wien (1983) also suggested that
light competition between a white clover LM and cabbage probably reduced crop yields due
to the shading of lower cabbage leaves by excessive clover growth. In contrast, Infante &
Morse (1996) indicated that legumes intentionally seeded (or interseeded) into a standing
crop can be effectively established in NT after transplanting broccoli to suppress weeds
without reducing crop yield. Although interseeded cover crops often suppress weeds, they
also generally result in vegetable crop yield reductions compared to other more
conventional weed management practices. These reductions in crop yields are often due to
the direct competition between the cover crop and the main crop. Although Masiunas et al.
(1997) found that a hairy vetch LM established before transplanting cabbage would
suppress weeds, it would eventually grow above the cabbage canopy later in the growing
season and reduce yields. The delayed seeding of cover crops has been an effective means of
minimizing yield losses in many crops including broccoli (Brainard & Bellinder 2004).
Furthermore, Brainard et al. (2004) found that hairy vetch seeded at 20 days after
transplanting cabbage might provide an alternative for weed control in this crop since it: 1)
provides significant biomass for soil improvement; 2) does not reduce cabbage yields; and 3)
provides some weed suppression.
Living mulches are more difficult to manage than conventional cropping systems and are
not suitable in all situations. The interspecific competition for light, water, and nutrients
between the LM and vegetable crop can limit the use of the system (Fisher & Burrill 1993;
Galloway & Weston 1996). The careful selection of less vigorous genotypes is essential for
the success of living mulches for vegetable production systems (Nicholson & Wien 1983).
Furthermore, the competitiveness of LMs can be reduced by using strip tillage systems,
mowing, or using reduced rates of herbicides (Hoyt et al. 1994, Paine & Harrison 1993).
2.2.4 Effects of allelochemicals produced by cover crops for NT systems
Cover crop mulches often release allelochemicals that aid in suppressing weed populations.
Those cover crops that contain a high level of allelochemicals are well-suited for mulch
24
Herbicides, Theory and Applications
residue mediated weed suppression. The soil surface coverage provided by cover crops
mulches often correlate with weed suppression (Teasdale et al. 1991). The amount of soil
surface coverage is important since mulches block the light stimulus that is required for the
germination of many small seeded weed species (Barnes & Putnam 1983, Moore et al. 1994,
Teasdale 1993). When cover crops, such as winter rye, are incorporated into the soil, the
resulting weed control is often significantly reduced (Walters & Young 2010, Walters et al.
2008), which is most likely due to several factors including less soil surface coverage by
mulch residues, bringing new weed seed to the soil surface, quicker decomposition of
incorporated residues, and lower levels of allelochemicals in the weed seed germination
zone (Masiunas 1998). Generally, once cover crop residues are incorporated into the soil,
allelochemicals quickly decompose and are leached away from the upper soil levels where
weed seeds germinate (Dias 1991). In contrast, when cover crop residues remain on the soil
surface, weed growth is suppressed for a longer period of time since allelochemicals
degrade slower (Masiunas 1998).
The residues of many cover crops release allelochemicals that inhibit weed seed germination
and growth (Creamer et al. 1996, Mwaja et al. 1995, Ohno et al. 2000, Weston 1996). Wheat
residues contain ferulic acid (4-hydroxy-3-methoxycinnamic acid) which has been shown to
inhibit the germination and root growth of many important weeds including large crabgrass
(Digitaria sanguinalis (L.) Scop.), pitted morningglory (Ipomoea lacunosa L.), common ragweed
(Ambrosia artemisiifolia L.), and prickly sida (Sida spinosa L.) (Hicks et al. 1989, Liebl &
Worsham 1983). Furthermore, in barley, the alkaloid gramine has been shown to inhibit
weed growth (Harborne 1987). Sorghum residues have been shown to contain the phenolic
compounds, p-coumaric, m-hydroxybenzoic, and protocatechuic acids which can inhibit
weed seed germination and seedling growth (Lehle & Putnam 1982, Panasiuk et al. 1986,
Weston et al. 1989). Oil seed rape (Brassica napus L.) releases glucosinolate breakdown
products, including isothiocyanates, oxazolidinethiones, ionic thiocyanate and organic
cyanides (Brown & Morra, 1996, Haramoto & Gallandt 2004).
Compared to other cover crops, the effect of allelochemicals on weed suppression has been
extensively studied in winter rye. This cover crop is especially important since it has been
widely documented to suppress the density of weeds in NT production systems (Barnes &
Putnam 1983, Teasdale et al. 1991, Weston 1990, Zasada et al. 1997). Putnam & DeFrank (1983)
reported that winter rye reduced the emergence of common ragweed by 43%, green foxtail
[Setaria viridis (L.) Beauv.] by 80%, redroot pigweed by 95% and common purslane (Portulaca
olearacea L.) by 100%. Shilling et al. (1985) indicated that winter rye residues used in a NT
system reduced the biomass of common lambsquarters by 99%, redroot pigweed by 96% and
common ragweed by 92% compared to a non-mulched tilled control. Barnes & Putnam (1983)
found that winter rye provides better weed control if allelochemicals are actively produced in
roots and released into the soil; and, once the winter rye plant dies, most weed control is
achieved through the decaying mulch on the soil surface simply providing a physical barrier
to weed germination and growth. Furthermore, Yenish et al. (1995) reported that the duration
of weed suppression by a winter rye cover crop more closely follows the disappearance of
allelochemicals from residues than the disappearance of the residue itself. The decomposing
winter rye residues on the soil surface produce a wide range of allelochemicals including
phenylacetic acid, 4-phenylbutric acid, 2,4-dihydroxy-1,4-benzoxazin-3-one (DIBOA), and 2benzoxazoline (BOA). Both DIBOA and BOA have been shown to inhibit germination and
seedling growth of several grass and broadleaf weed species (Barnes & Putnam 1983, Chase et
Weed Management Systems for No-Tillage Vegetable Production
25
al. 1991, Creamer et al. 1996, Shilling et al. 1985). The amounts of DIBOA and BOA found in
rye often correlates with the inhibition of weed growth (Mwaja et al. 1995, Yenish et al. 1995).
Furthermore, Chase et al. (1991) indicated that large-seeded weed species or those species that
have deeper seed placement in the soil profile were less affected by allelochemicals produced
by winter rye, which was most likely due to higher concentrations of allelochemicals near the
soil surface where small-seeded species typically germinate. The decline in DIBOA
concentrations as winter rye matures, and the fact that many winter rye cultivars mature at
different rates, may partially explain the discrepancies observed in previous studies from
weed suppression from winter rye (Reberg-Horton et al. 2005).
Although the allelopathic potential of hairy vetch and other legume cover crops have been
documented, weed suppression by legumes is generally less compared to grass cover crops.
Hairy vetch residues contain many different compounds including alcohols, aldehydes,
furans, and monoterpenes which have the ability to suppress weed growth (Bradow &
Connick 1990). Hairy vetch residues decompose more rapidly than those of winter rye
(Mohler & Teasdale 1993, Schonbeck et al. 1993) and surface coverage by hairy vetch
residues has been shown to be more important for weed control than allelochemical release
(Curran et al. 1994, Teasdale et al. 1991). Therefore, weed control by hairy vetch residues is
lower compared to that obtained by winter rye residues.
3. Importance of herbicides for No-Tillage vegetables
Some type of herbicide application is generally required to optimize weed control and
maximize vegetable productivity in NT systems, since cover crop residues can generally be
expected to provide early-season weed suppression (for about the first 4 to 6 weeks) but not
full-season weed control. In NT squash (Walters et al. 2004, 2005) and cucumber (Walters et
al. 2007) production systems, the use of winter rye enhanced weed control even when a
standard herbicide program was used. In NT pumpkin production, redroot pigweed and
common waterhemp control was achieved early in the growing season with only winter rye
residues but control was not sustained throughout the growing season and required some
other method of weed management, such as herbicides, to optimize control (Walters et al.
2008). As stated earlier, broadleaf weed control is a major problem in NT vegetable
production systems because there are few herbicides available in most vegetable crops to
control these weeds, and the number of available herbicides is dependent on the specific
vegetable grown. Although there are several PRE herbicides available for many different
vegetable crops, the emergence of weeds after soil residual herbicides have lost their activity
often leads to excessive weed populations later in the production season. In comparison,
between-row tillage is often used in CT to reduce weed populations that PRE herbicides fail
to control.
3.1 Preemergence herbicides for No-Tillage vegetables
Preemergence herbicides are widely used in NT vegetable production to control weeds.
These are applied to the soil surface prior to crop or weed emergence, and when transplants
are used, they are generally applied to weed-free soil before transplanting. Preemergence
herbicides should be effective for at least 30 days, since this would prevent establishment of
early germinating weeds from providing excessive competition to vegetable plants. Stall
(2001) indicated that weeds emerging during the first four weeks of cucurbit crop
26
Herbicides, Theory and Applications
establishment will suppress crop yield, while those emerging after this time period will
generally not reduce yields.
There are only a few labeled PRE herbicides for use in NT production systems for cole crop,
cucurbit and solanaceous vegetables, including bensulide, clomazone, ethalfluralin,
halosulfuron-methyl, napropamide, oxyfluorfen, rimsulfuron, and S-metolachlor (Table 2).
Bensulide is applied either preplant or PRE in many vegetable crops, especially many of
those within the cole crop, cucurbit, and solanaceous vegetable groups. However, the delay
of irrigation or rainfall to activate this herbicide in the soil by more than 36 hours may result
in poor weed control. Although this herbicide is registered for control of many different
annual grasses and a few broadleaf weeds, it tends to provide only marginal weed control
even at low weed infestation levels. Clomazone has been registered for a number of
vegetable crops for many years, and is a valuable herbicide that is critical for weed control
programs in several crops, including cabbage and some cucurbits. Although clomazone is
an excellent PRE grass herbicide, it only controls a limited number of broadleaf weed
species. Ethalfluralin is a PRE herbicide that provides control of a few broadleaf and grass
weeds in cucurbit vegetable crops. However, clomazone and ethalfluralin are typically sold
as a pre-mix that is used in cucurbit vegetable crops. Prior to the labeling of halosulfuronmethyl and S-metolachlor for pumpkin, this clomazone and ethalfluralin pre-mix was
widely used by most growers since it provided control of many different weed species. The
bleaching of crop and weed leaves will often be observed due to the clomazone component
in the mixture. The clomazone and ethalfluralin pre-mix will provide PRE control of annual
grasses and many broadleaf weeds including common lambsquarters, various pigweed
Herbicide
Bensulide
Clethodim
Clomazone
Clomazone +
Ethalfluralin
Ethalfluralin
Halosulfuronmethyl
Metribuzin
Napropamide
Oxyfluorfen
Rimsulfuron
S-metolachlor
Sethoxydim
Vegetable crop
Br, Ca, Cu, Pu, Sq
Br, Ca, Cu, Pu, Sq, To
Ca, Cu, Sq
Application
PRE
POST
PRE
Weeds controlled
Broadleaves, grasses
Grasses
Broadleaves, grasses
Pu, Sq
PRE
Broadleaves, grasses
Pu, Sq
PRE
Broadleaves, grasses
Pu, Cu, To
PRE, POST
Broadleaves, nutsedges
To
Br, Ca, To
Br, Ca
To
Pu, To
Br, Ca, Cu, Pu, Sq, To
PRE, POST
PRE
PRE
PRE
PRE
POST
Broadleaves, grasses, nutsedges
Broadleaves, grasses
Broadleaves
Broadleaves, grasses
Broadleaves, grasses, nutsedges
Grasses
Br = Broccoli, Ca = Cabbage, Cu = Cucumber, Pu = Pumpkin, Sq = Squash, To = Tomato. PRE is
preemergence to weed emergence and POST is postemergence to vegetable crop. The herbicides,
bensulide, clomazone, ethalfluralin, metribuzin, napropamide, oxyfluorfen, rimsulfuron, and Smetolachlor provide control of only a limited number of broadleaf or grass weed species. The control of
specific weed species by halosulfuron-methyl or metribuzin depends on whether applied PRE or POST.
Nutsedges are Cyperus spp.
Table 2. Selected herbicides for use in no-tillage production systems for various vegetable
crops.
Weed Management Systems for No-Tillage Vegetable Production
27
species, common purslane, velvetleaf (Abutilon theophrasti Medik), common ragweed, and
Pennsylvania smartweed (Polygonum pensylvanicum L.). Halosulfuron-methyl is a herbicide
that can be used both PRE and POST in cucurbit vegetable crops and several different
fruiting vegetables including tomato. Although this herbicide will provide PRE control of
many different broadleaf weeds, it provides no grass weed control and only suppresses
yellow (Cyperus esculentus L.) and purple nutsedge (Cyperus rotundus L.). Heavy rains
following PRE applications of halosulfuron-methyl can often lead to severe crop injury.
Napropamide can be applied PRE to either direct seeded or transplanted cole crops, such as
broccoli and cabbage, and solanaceous fruiting vegetables including pepper (Capsicum
annuum L.) and tomato. Although napropamide does not control established weeds, it will
provide PRE control of numerous annual broadleaf and grass weeds. Oxyfluorfen can be
used PRE in both broccoli and cabbage crops as a pre-transplant treatment to provide
control of carpetweed (Mollugo verticillata L.), redroot pigweed, common purslane, and
Pennsylvania smartweed. Pre-transplant applications of oxyfluorfen may result in early leaf
cupping or crinkling crop injury and is more severe if crop leaves directly contact treated soil,
although crops will rapidly outgrow this injury. However, more severe crop injury will result
if transplants are under some type of stress. It is important to note that oxyfluorfen should not
be applied to soil if an acetanilide herbicide such as S-metolachlor has been applied to the field
during the current growing season as severe crop injury may occur. Rimsulfuron can be used
PRE in tomato for the control of a wide variety of broadleaf and grass weeds, although it will
only provide partial control of weeds such as crabgrass (Digitaria spp.), common cocklebur
(Xanthium strumarium L.), common lambsquarters, common ragweed, velvetleaf, and black
(Solanum nigrum L.) and hairy nightshade [Solanum villosum (L.) Mill.]. Preemergence
applications may not provide adequate control of weeds > 2.5 cm in height or weeds that have
an established root system prior to the activation of rimsulfuron. S-metolachlor can be applied
PRE in NT pumpkins and tomatoes for control of numerous grasses and broadleaf weeds, as
well as yellow nutsedge. S-metolachlor will not control emerged weeds and must be applied
to a weed-free soil or in tank mixtures with products that provide POST control of weeds
present at the time of application; tank-mixtures of S-metolachlor with a contact herbicide
(glyphosate or paraquat dichloride) can be used to provide POST control of many weeds, with
later germinating weeds controlled by S-metolachlor.
It is important to note that moisture is essential for activation of these PRE herbicides once
they have been applied. Within 5 to 7 days after application, about 12 to 25 mm of rainfall
or sprinkler irrigation is needed to activate most PRE herbicides used in vegetable
production. If adequate moisture is not provided during this time period then weed control
provided by PRE herbicides will be drastically reduced. For those herbicides that can be
used PRE and POST, if moisture cannot be managed via rainfall or sprinkler irrigation,
allowing weeds to emerge and then applying POST will most likely result in better weed
control.
3.2 Postemergence herbicides for No-Tillage vegetables
The use of effective POST herbicides for control of annual grass and broadleaf weeds is
important to achieve success in NT vegetable production systems. Hoyt et al. (1994)
indicated that the lack of effective POST herbicides is a problem for NT vegetable
production systems. Although grass weeds can be effectively controlled in most vegetable
crops with minimal effort, many difficult to control broadleaf weeds are not sufficiently
28
Herbicides, Theory and Applications
controlled due to the lack of effective herbicides that can be sprayed POST. Postemergence
grass control can usually be obtained in most vegetables with the use of clethodim or
sethoxydim. Both of these herbicides are widely used selective POST herbicides that control
annual and perennial grass weeds in broadleaf vegetable crops. Although several vegetable
crops including cabbage, cucumber, pumpkin, and tomato have registered POST broadleaf
weed herbicides which have been successfully used in NT systems, many vegetables crops
including squash lack labeled effective POST broadleaf herbicides. There are a limited
number of POST herbicides labeled for broadleaf weed control in NT cole crop, cucurbit and
solanaceous vegetables, including halosulfuron-methyl, metribuzin, and rimsulfuron.
Although halosulfuron-methyl is often applied PRE, POST applications can be made to
established plants of cucumber, pumpkin and tomato for control of yellow nutsedge,
redroot pigweed, velvetleaf, common ragweed, and many other broadleaf weeds. For
optimum control of yellow and purple nutsedge, sequential applications on areas where this
weed has emerged or re-grown may be required. However, there is the potential for crop
stunting and a slight maturity delay with the use of halosulfuron-methyl when used POST.
Many times, POST applications will often extensively slow the growth of cucurbit vines. To
reduce injury, it can also be used as a directed POST application to row middles for many
different vegetable crops. If halosulfuron-methyl is applied POST on drought stressed
weeds, its activity will most likely be reduced and the resulting control is often inadequate.
The carryover from halosulfuron-methyl is 0 to 36 months depending on the next crop that
is grown and this should be considered when this herbicide is used. Metribuzin is often
applied POST in established tomatoes and provides effective control of many different
broadleaf weeds and a few grass weeds. Repeated POST applications of metribuzin are
often required to provide optimal control of several weeds such as jimsonweed (Datura
stramonium L.), common ragweed, and velvetleaf. If applications are made to tomato
growing under stressful conditions, crop injury or delayed maturity may result.
Rimsulfuron can be used POST in tomato to control a wide range of broadleaf and grass
weeds. Weed control is best achieved when POST applications of rimsulfuron are made to
actively growing weeds that are less than 2.5 cm in height. Applications should be made
after tomato plants reach at least the cotyledon stage. Similar to metribuzin, if applications
are made to tomato growing under stressful conditions, temporary crop chlorosis may
occur, but symptoms normally disappear within 2 weeks. To optimize weed control in
tomato, PRE and then POST or sequential POST applications of rimsulfuron can be made.
4. No-Tillage vegetable cropping systems
4.1 Brassicas
4.1.1 Cabbage
Several researchers found that cabbage yields in NT were similar to that of CT (Hoyt et al.
1996, Morse 1995, Morse & Seward 1986), although Knavel and Herron (1981) indicated that
spring cabbage yields were reduced in NT when compared to CT. Wilhot et al. (1990)
related cabbage yield reductions in NT to poor plant establishment/impeded crop growth
more than to the effects of a NT production system. Furthermore, similar to what has been
observed for other vegetable crops, when weed control methods and PRE herbicides were
used in NT cabbage, yields were similar to those of CT (Bellinder et al. 1984).
Weed Management Systems for No-Tillage Vegetable Production
29
Weed control has been the limiting factor for implementation of NT cabbage production
systems. Masiunas et al. (1997) indicated that the cropping system utilized affected both
broadleaf and grass weed densities in NT cabbage production. Although winter rye mulch
is often utilized in NT cabbage production, Morse & Seward (1986) indicated that hairy
vetch and Austrian winter pea [Pisum sativum spp. arvense (L.) Poir.] were better mulch
covers than winter rye for NT cabbage production, which was most likely due to the
nitrogen released by the two legumes through mineralization of the plant residues.
Furthermore, Schonbeck et al. (1993) indicated that hairy vetch produced greater cabbage
yields than winter rye, which was most likely due to the immobilization of soil nitrogen due
to the high carbon to nitrogen ratio in winter rye. In contrast, Masiunas et al. (1997) found
that the use of fall-seeded winter rye was the most promising mulch system in NT cabbage
for weed suppression; and, the weed suppression obtained from the winter rye NT system
was similar to that obtained from CT using trifluralin applied PRE. Winter rye mulch
suppressed broadleaf weed emergence for 6 weeks compared to CT (Masiunas et al. 1997).
Living mulches also show some potential for suppressing weeds in cabbage and other
Brassicas. The use of LMs for all or part of a Brassica crop growing season is becoming of
interest to growers to extend weed control for a more sustainable weed management
system. The integration of cover crops by interseeding into an established vegetable crop
may serve to provide a more effective way to manage weeds. Castello (1994) found that
broccoli head size and weights in a NT living mulch system using white clover was similar
to that produced in CT. In contrast, Brandsaeter et al. (1998) found that clover interseeded
in cabbage provided some late-season weed suppression, but this alternative weed
management strategy tended to reduce cabbage yields.
4.1.2 Broccoli
Broccoli is a crop that can be easily produced in a NT production system. Abdul-Baki et al.
(1997) found that fall-produced broccoli yields were similar between NT and CT production
systems when surface residues from a killed summer cover crop provided sufficient soil
coverage in the NT system. Furthermore, Morse (1995) indicated that yields of broccoli
grown in NT increased by about 10% compared to CT. Broccoli transplant establishment in
NT was found to be similar or better compared to CT, which directly related to the high
yields observed in NT (Infante and Morse, 1996). Lastly, Morse (2000) indicated that broccoli
yields increased in a NT cover crop mulch system compared to a NT bare soil system.
Production systems for NT broccoli can often be successful without using herbicides, when
appropriate high-residue cover crops are effectively killed by flail mowing or rolling and
broccoli transplants are properly established and maintained in these evenly distributed
cover crop mulches (Morse 1999b). Morse (2001) indicated that the use of a winter rye and
hairy vetch mixture that was rolled in the spring was the best combination evaluated for
production of NT summer broccoli. The use of forage soybean or foxtail millet (Setaria italica
L.P. Beauv) mulch alone or in combination provided NT yields that were similar to CT, with
applied herbicides having little influence on broccoli productivity (Abdul-Baki et al. 1997).
Although NT broccoli yield is inversely correlated with the amount of weed biomass
produced (Morse 2001), the use of herbicides can be reduced when large, vigorous
transplants of broccoli are set in narrow double-rows in persistent, heavily mulched NT
production systems, since this will result in significant amounts of weed suppression.
Many different cover crops and herbicides have been utilized to improve NT broccoli
production. Broccoli produced larger heads and higher yields in a NT system utilizing a
30
Herbicides, Theory and Applications
combination of a legume (e.g., hairy vetch) with winter rye than with winter rye alone or no
cover crop (Mangan et al. 1995). Although cover crops, such as winter rye or hairy vetch,
integrated into NT Brassica crop production systems improve weed control, the use of
herbicides is still required to provide a more effective weed management system. Hoyt et al.
(1996) indicated that the use of oxyfluorfen PRE prior to tranplanting significantly improves
weed control and increases the success of using NT for cabbage production. The application
of pretransplant herbicides, such as metolachlor or oxyfluorfen, generally reduces weed
biomass in NT broccoli production (Abdul-Baki et al. 1997). Although there are many PRE
or pre-transplant herbicides available for use in NT broccoli and cabbage, the lack of POST
herbicides for broadleaf weed control still remains a major hindrance to the adoption of NT
practices, since the lack of late-season broadleaf weed control will affect both yield and
harvest efficiency.
4.2 Cucurbits
4.2.1 Cucumber
Similar to many other vegetable crops, cucumbers are generally managed with CT practices,
such as plowing and repeated cultivations (Lonsbary et al. 2004). Weston (1990) found that
cucumber, similar to most other cucurbits, was easy to establish in NT culture. Ogutu &
Caldwell (1999) found that the use of cucumber transplants provided more biomass
accumulation at 3 weeks after planting in NT resulting in higher early yields due to earlier
flowering and fruit set than those that were direct seeded. Furthermore, although pickling
cucumber leaf number, leaf area index and vine growth were reduced by NT, no reduction
in total yield was observed compared to CT; and, the reduced vegetative growth in NT may
actually be an advantage for the mechanical harvesting of this crop (Lonsbary et al. 2004).
Adequate weed control in NT cucumber production systems must be achieved in some
manner before this system will be widely used for this crop (Walters et al. 2007). The most
consistent establishment of cucumber plants in NT occurred in winter wheat or rye residues,
which provided a substantial level of weed suppression for at least 60 days following
herbicide application to cover crops (Weston 1990). Walters et al. (2007) indicated that a
winter rye cover crop alone would provide some but not sufficient, season-long redroot
pigweed and smooth crabgrass [Digitaria ischaemum (Schreb. ex Schweig.) Schreb. ex Muhl.]
control for cucumber grown in NT. Although broadleaf weed control is improved,
herbicide-killed winter rye will not sufficiently suppress many difficult-to-control broadleaf
weeds (depending on seasonal growing conditions) in NT cucumber production even if
used with the standard PRE herbicide combination of clomazone + ethalfluralin +
halosulfuron.
Weaver (1984) indicated that if cucumber plants are kept weed-free for the first four weeks
after planting, yields would be similar to those kept weed free for the entire growing season.
Thus, an appropriate PRE herbicide would appear to need a residual period of 24 to 36 days,
as this would prevent establishment of early germinating weeds which provide excessive
competition to young cucumber seedlings (Friesen 1978). Although cucumber will provide
some weed suppressive ability once it forms a vine across the soil surface, other weed
control measures are generally necessary to achieve adequate weed control.
The use of clomazone and ethalfluralin does not provide consistent satisfactory weed
control in NT cucumber culture (Ogutu & Caldwell 1999, Walters et al. 2007). The PRE
herbicide mixture of clomazone + ethalfluralin + halosulfuron provides both broadleaf and
Weed Management Systems for No-Tillage Vegetable Production
31
grass weed control and high cucumber yields in a NT production system when used in
combination with a winter rye cover crop (Walters et al. 2007). However, many-difficult to
control broadleaf weeds are not adequately controlled by these herbicides when used PRE
in a cover crop residue NT system, which often provides various problems for cucumber
growers including yield suppression and reduced harvest efficiency. An advantage for
cucumber compared to squash is that halosulfuron can also be used POST to suppress many
difficult-to-control broadleaf weeds.
4.2.2 Squash
Many squash growers are interested in NT production because of the ecological and
potential economic benefits provided by this type of production system. Growers tend to
apply PRE herbicides regardless of whether CT or NT is used, with squash seeded before
herbicide treatment or transplanted in herbicide treated soil. However, the emergence of
weeds after soil residual herbicides have dissipated leads to excessive weed problems
during fruit harvest (Walters et al. 2005). Harvesters cannot locate squash fruit as easily on
plants that are shaded by weeds compared to those growing in a weed-free field, and this
contributes to reduced harvest efficiency and yield loss. Several studies have indicated that
squash grown in NT have similar yields to those grown in CT (Knavel & Herron 1986,
NeSmith et al. 1994, Walters & Kindhart 2002, Walters et al. 2005), although yields were only
comparable if weeds were adequately controlled. Since a major limitation to NT squash
production is weed control, improved weed management practices must be developed
before NT systems in this crop will be readily adopted.
Although clomazone + ethalfluralin is the PRE herbicide mixture most often utilized by
squash growers, it often provides poor control of certain broadleaf weeds, such as the
various species of Amaranthus. Walters et al. (2004, 2005) found that a PRE application of
clomazone + ethalfluralin resulted in the best overall weed control without having a
detrimental effect on zucchini squash yields in NT. Although applying clomazone +
ethalfluralin PRE to winter rye residues in NT squash production improved redroot
pigweed control compared with no herbicide, the level of control was generally not
adequate (< 85% control) by 8 weeks after planting (Walters et al. 2005). Clomazone +
ethalfluralin did not provide sufficient season-long weed control, which especially caused
problems in locating squash fruit during hand-harvesting. Walters et al. (2004) indicated
that although the herbicide clomazone and the no-herbicide produced high early-season
squash yields in NT culture, the productivity in these treatments declined as weed pressures
increased due to limited weed control. The PRE herbicide combinations of clomazone +
ethalfluralin and clomazone + imazamox provided the best overall weed control without
having detrimental effects on squash yields in a NT system (Walters et al. 2005).
Living mulch systems have been shown to generally result in crop yield reductions
compared to more traditional weed control methods (Liebman & Staver 2001, Teasdale 1998,
Wiles et al. 1989). Walters & Young (2008) found that a NT winter rye living mulch system
provided excessive amounts of zucchini squash stunting which significantly reduced yields.
Furthermore, as a living mulch in NT squash production, winter rye resulted in 80 and 82%
control of redroot pigweed and smooth crabgrass about 8 weeks after transplanting,
respectively, in the absence of herbicides compared to the no herbicide bare soil system
(Walters & Young 2008).
Few herbicides are labeled for squash production and none will consistently provide seasonlong weed control (Walters et al. 2004), since most, except the POST grass herbicides, are
32
Herbicides, Theory and Applications
only labeled for PRE applications. Herbicides available for use in squash include bensulide
(PRE), clethodim (POST), clomazone (PRE), ethalfluralin (PRE), and sethoxydim (POST)
(Table 2). Although the PRE combination of clomazone + ethalfluralin is widely used in
squash production, the weed control provided by this herbicide combination is generally
inadequate. Due to the limited number of herbicides and inadequate weed control of those
herbicides available for use in summer squash, registration of additional herbicides or the
development of alternative methods of weed control is needed to allow for the widespread
use of NT in this crop (Walters et al. 2004).
4.2.3 Pumpkin
Several studies have all indicated that NT and CT produce comparable pumpkin yields
when sufficient weed control is achieved in NT production systems (Galloway & Weston
1996, Rapp et al. 2004, Walters et al. 2008). Pumpkin vegetation will provide some soil
shading and weed suppression once vines form across the soil surface, but other weed
control measures are generally necessary to achieve adequate weed control in NT pumpkin
production. The use of herbicides and cover crops often play an important role in the
management of weeds in NT pumpkin production.
The use of effective herbicides in combination with cover crops integrated into NT planting
systems may provide a feasible option for pumpkin growers trying to enhance weed
control. Although Harrelson et al. (2007) indicated that all cover crop residues evaluated,
which included winter wheat, winter rye, perennial ryegrass, triticale (×Triticosecale rimpaui
Wittm.), barley, oats (Avena sativa L.) and crimson clover (Trifolium incarnatum L.), produced
acceptable NT pumpkin yields and fruit size, small grain cover crops, such as winter wheat
or winter rye, are generally used to suppress weed densities in NT pumpkin production
systems (Morse et al. 2001, Walters et al. 2008). The presence of surface residue and lack of
soil disturbance in NT pumpkin production were likely contributing factors that
significantly influenced weed control even in the absence of herbicides (Walters et al. 2008).
In NT pumpkin production systems, sparse or unevenly distributed cover crop residues
often result in fields having high weed densities that lead to low pumpkin yields and poor
fruit quality (Morse et al. 2001). Several studies have indicated that although broadleaf weed
control is improved, herbicide-killed winter rye will not effectively suppress many broadleaf
weeds in NT pumpkin production even if used in conjunction with a standard herbicide
program (Rapp et al. 2004, Walters & Young 2010, Walters et al. 2008). Weed densities in
pumpkin vary with environmental conditions, tillage strategy, and amount of cover crop
residue (Rapp et al. 2004). Although crop residues provided by herbicide-killed winter
wheat or winter rye will improve grass and broadleaf weed control, the densities of many
difficult to control broadleaf weeds (e.g., many Amaranthus spp.) in NT pumpkin production
at harvest remain similar to those produced in bare soil. Winter rye or winter wheat cover
crop residues alone will provide some, but insufficient weed control for pumpkins grown in
NT (Walters et al. 2008, Walters & Young 2010).
The production of high-residue, evenly distributed mulches over the soil surface can
enhance weed suppression in NT pumpkins, which can often reduce or even eliminate the
need for PRE herbicides (Morse et al. 2001). In growing seasons with high weed pressures,
winter rye residues without herbicide application were effective in suppressing weed
populations in pumpkins for only about 6 to 7 weeks after planting (Rapp et al. 2004). Walters
et al. (2008) found that redroot pigweed and common waterhemp control in NT pumpkins
was achieved early in the growing season with only winter rye residues, but control was not
Weed Management Systems for No-Tillage Vegetable Production
33
sustained throughout the growing season. Pumpkin productivity in NT production systems
was highly correlated with giant foxtail (Setaria faberi Herrm.), common cocklebur, redroot
pigweed, and total weed control, with correlations indicating that pumpkin yields increased
with greater weed control (Walters et al. 2008). Furthermore, pumpkin fruit number and
weight, as well as average fruit size were correlated with both early- and late-season control of
all weed species (0.47 ≥ r ≤ 0.86, P ≤ 0.01; Walters et al. 2008).
The lack of effective herbicides has hindered the adoption of NT pumpkin production.
Weed control is essential to obtain the highest possible pumpkin yields in NT production
systems and tank mixtures of various herbicides are generally necessary to maximize weed
control (Brown & Masiunas 2002, Kammler et al. 2008). Although weeds are a major
problem in pumpkin NT production systems, there are a limited number of registered
herbicides available for weed control. The majority of herbicides registered for pumpkins
are used PRE and provide limited control of broadleaf weeds and nutsedge (Grey et al. 2000,
Brown & Masiunas 2002) and are often ineffective when weather conditions are not ideal for
activation. Several registered herbicides including clomazone + ethalfluralin, halosulfuronmethyl and S-metolachlor have made NT more successful, since cultivation is not an option
in this type of production system. Walters et al. (2008) found that PRE use of clomazone +
ethalfluralin or clomazone + ethalfluralin with halosulfuron-methyl tended to improve
weed control in a NT, winter rye residue production system. Galloway & Weston (1996)
found that ethalfluralin applied alone provided only short term weed suppression with
control observed for only 4 to 5 weeks after application. Rapp et al. (2004) found that PRE
application of ethalfluralin and halosulfuron, provided effective weed control in a NT
winter rye residue production system.
Walters & Young (2008) indicated that although cover crops, such as winter wheat or winter
rye, can be integrated into NT pumpkin production systems along with labeled herbicides to
improve weed control, improvement in weed management systems beyond current
practices and available herbicides is still necessary to maximize pumpkins yields. In NT
pumpkin production systems, the potential yield reduction from herbicide injury does not
outweigh the yield gains that are provided by reliable and effective weed control (Rapp et
al. 2004, Walters et al. 2008). Thus, the judicious use of herbicides is an important part of any
effective weed management program for NT pumpkin.
4.3 Tomato
The few studies on NT tomato production systems have provided conflicting results.
Although Beste (1973) indicated that yields of direct seeded processing tomatoes grown in
NT were similar to those grown in CT, Doss et al. (1981) reported that marketable staked
tomato yields decreased in NT compared to CT. However, Shelby et al. (1988) indicated that
the use of NT is a feasible alternative to CT for tomato production, since staked tomato
yields in CT were generally comparable to yields obtained in NT. Furthermore, staked
tomatoes in a NT hairy vetch mulch system yielded higher than CT tomatoes (Abul-Baki &
Teasdale 1993). The production of fresh-market tomatoes in NT hairy vetch residue has been
successful in providing high economic returns, especially in regards to reducing herbicide
and nitrogen inputs (Teasdale 1999).
Fall-seeded winter rye can be used as a weed management tool in NT tomato production, as
tomato yields using winter rye residues were comparable to treatments without winter rye,
provided that weed control was sufficient (Smeda & Weller 1996). Masiunas et al. (1995)
indicated that winter rye residues in reduced tillage cropping systems can provide weed
34
Herbicides, Theory and Applications
control and tomato yields similar to those in CT systems that have had a pre-plant
incorporated (PPI) soil application of trifluralin and metribuzin. Furthermore, the nonselective herbicide, glyphosate, that was used to kill the winter rye, also resulted in
eliminating any existing winter annual weeds, which tended to result in similar or higher
tomato yields compared to those obtained by just mechanical mowing of the winter rye.
However, in most field situations, additional POST weed management would be necessary
to maintain control of weeds through the critical weed-free period (about 6 weeks after
transplanting) for tomato, although in some instances, winter rye residues can suppress
weeds for up to 60 days after transplanting (Masiunas et al. 1995).
The availability of several POST herbicides for both broadleaf and grass weed control in
tomato (Table 2) provides a greater overall potential to achieve optimum weed control
compared to many other vegetable crops. Although many PRE or pre-transplant herbicides
are available for use in tomato, the availability of POST herbicides are important to control
later emerging weeds that can affect both yields and harvest efficiency. In NT tomato,
redroot pigweed and morningglory control at 68 and 93 DAT was adequate with POST
applications of metribuzin (Shelby et al. 1988). Sequential POST metribuzin applications
followed by a POST grass herbicide in NT tomato provided adequate broadleaf and grass
weed control that resulted in high marketable yields. These sequential POST applications in
NT tomato production mimic the use of cultivation in CT tomato to provide effective late
season weed control.
5. Summary and conclusions
The effectiveness of NT production systems depends on the vegetable crop grown, the crop
establishment method, establishment of high residue mulch from a cover crop on the soil
surface, and available PRE and POST herbicides for the vegetable crop. NT systems seem to
work better in those vegetables that: 1) have vines that rapidly spread across the soil surface
(e.g., cucumber and pumpkin) which suppress weed growth; 2) provide rapid canopy
closure (e.g., broccoli planted on narrow rows) to prevent weed growth; or 3) have several
labeled PRE and POST herbicides that will provide both early-and late-season broadleaf and
grass weed control. Often times, vegetable crops that are transplanted into NT produce
greater yields than those that are direct seeded. For example, cabbage yield reductions in NT
were related more to poor plant establishment than to the effects of a NT production system
(Wilhot et al. 1990). In most vegetable production systems, sparse or unevenly distributed
cover crop residues on the soil surface often result in fields having high weed densities that
lead to low yields and often poor fruit quality. In NT systems, high-residue cover crop
mulches can suppress weed growth and often reduce or even eliminate the need for applied
herbicides (Morse 2001). The inclusion of cover crops in vegetable production systems will
not only improve weed control (Teasdale 1999), but will also conserve soil moisture,
increase soil organic matter content, and provide other soil conservation advantages
(Johnson & Hoyt 1999). Additionally, alternative tillage systems, such as NT, can further
extend vegetable production into regions that are highly erodible.
Although cover crops contribute to weed control in NT production systems, herbicides or
other weed control tactics are generally required to obtain optimal weed control and crop
yield. The use of labeled PRE and POST herbicides is important to achieve optimum weed
control in NT vegetable production. The use of PRE herbicides is important for early-season
weed control in vegetable crops; and, although there are several PRE herbicides available for
Weed Management Systems for No-Tillage Vegetable Production
35
many different vegetable crops, the emergence of weeds after soil residual herbicides have
dissipated often leads to excessive weed populations later in the production season. There are
only a few POST herbicides labeled for broadleaf weed control for NT vegetable crops. This
lack of effective POST herbicides is a major limiting factor in NT vegetable production systems
(Hoyt et al. 1994), as the effective control of annual grasses and broadleaf weeds by POST
herbicides is important to achieve success in this type of production system. Although grass
weeds can be effectively controlled in most vegetable crops with PRE and POST herbicides,
many difficult to control broadleaf weeds are often not sufficiently controlled due to the lack of
effective herbicides that can be applied POST.
Since high weed populations are generally observed in NT production systems, weed
control is essential to obtain the highest possible vegetable yields in this type of production
system. The use of cultural practices that promote better vegetable crop establishment, more
rapid plant growth and canopy closure will also result in improved weed suppression and
high crop yields. Although NT systems utilizing cover crops are becoming more common
for many vegetable crops, the major limitation for widespread grower limitation of NT
practices is weed management. Thus, fields that have weed problems should be avoided or
weed densities should be reduced in some manner prior to using NT production practices;
and, if necessary, herbicides may have to be used during the production of the cover crop to
minimize weed populations before transplanting (Morse 1999a). Cover crop mulch residues
contribute to weed control in integrated weed management systems for NT crop production,
but a major issue for growers is that they require more intensive management than CT
systems. Although results from most studies have indicated that improvement in weed
management systems beyond current practices and available herbicides is still required to
maximize vegetable productivity in NT production systems, cover crop residues integrated in
NT vegetable production systems along with the judicious use of herbicides can potentially
suppress weeds in NT vegetable production and provide yields similar to CT.
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3
Weed Control and the Use of
Herbicides in Sesame Production
W. James Grichar, Peter A. Dotray and D. Ray Langham
Texas AgriLife Research, 3507 Hwy 59E, Beeville, TX 78102; Texas AgriLife Research,
1102 E FM 1294, Lubbock, TX 79403; Sesaco Corporation, San Antonio, TX 78217
USA
1. Introduction
Sesame (Sesamum indicum L.) is one of the oldest crops known to humans. There are
archeological remnants of sesame dating to 5,500 BC in the Harappa Valley in the Indian
subcontinent (Bedigian & Harlan, 1986). Assyrian tablets from 4,300 BC in a British museum
described how the gods ate bread and drank sesame wine together before battles to restore
order to the universe (Weiss, 1971). Most people remember the words “Open sesame” from
Ali Baba and the 40 Thieves to open a cave full of riches. It is similar to the sesame capsules
because their opening produced great riches. Sesame was a major oilseed in the ancient
world because of its ease of extraction, great stability, and drought resistance. In India
today, almost as in the olden days, a farmer can take his crop to an expeller that consists of
grinding mortar and pestle stones driven by a bullock. He can place the oil in a vessel, take
it back to his home and have cooking oil for a year without the oil going rancid (S.S. Rajan,
personal communication).
Sesame is a survivor crop. It has been planted for over 7,500 years in Asia and Africa in
very poor growing conditions. In parts of Thailand, farmers broadcast the seed and came
back at the end of the season and see which plant had won – the sesame or the weeds (W.
Wongyai, personal communication). More often than not, the sesame won. Sesame cultivars
in those areas were tall, had very long internodes, and grew above the weeds. In Rajasthan,
India, sesame is the last crop that can be grown adjacent to the deserts under extreme dry
conditions. In several droughts in the U.S., sesame was the only crop that survived without
irrigation (Langham & Wiemers, 2002).
Although this chapter draws from research from many countries, the emphasis is on
herbicides in the U.S., the only country where sesame is completely mechanized and where
herbicides are critical for economic production. Sesame was introduced to the U.S. from
Africa and was called beni/benne/benni. Betts (1999) quotes letters from Thomas Jefferson
that document his trials with sesame between 1808 and 1824. Jefferson stated that sesame
“…is among the most valuable acquisitions our country has ever made. … I do not believe
before that there existed so perfect a substitute for olive oil.” He talks about the rule of
thumb that still exists today - that sesame will do well where cotton (Gossypium hirsutum L.)
does well. Sesame was produced in Texas on a limited scale during the 1950’s and early
1960’s, first in northeast Texas and later shifting to the High Plains, where consistent yield
increases resulted from irrigation and more favorable climate conditions (Brigham & Young,
42
Herbicides, Theory and Applications
1982). The sesame was cut with a binder, hand shocked, and manually fed into a combine
when dry. Due to a change in guest worker laws in the mid 1960’s, the hand labor from
Mexico became unavailable, and the sesame crop disappeared (Langham & Wiemers, 2002).
Sesame returned to Texas in 1987 with varieties that did not require binding and shocking.
The sesame could be swathed into a windrow, allowed to dry, and picked up with a pick-up
attachment on a combine. Since that time, new varieties have been developed that can be
left standing in the field to dry down, and then combined directly. Today, sesame has
spread from Texas to parts of Oklahoma and southern Kansas.
One of the more difficult problems in planting sesame is that the seeds are small and need to
be placed at precise depths and densities (Langham, 2007). Seeds cannot be planted too deep
that the cotyledons never reach the surface, and yet they cannot be planted too shallow that
the moisture around the seed is lost to evaporation. Once the cotyledons emerge, which are
small compared to other crops, the sesame plants do not grow very fast. This slow growth
and development is compounded by its drought resistance because sesame will partition a
large portion of photosynthetic resources to create more root mass to penetrate the soil to
find moisture. In the first 30 days, sesame plants reach about 28 cm in height; however,
sesame will double to 60 cm in the next 11 days, triple to 90 cm in the following 8 days, and
quadruple to 120 cm in the following 9 days. Depending on row spacing and phenotype,
mechanization of sesame requires careful weed management for the first 30 to 60 days after
planting (Langham, 2007).
The presence of weeds can negatively influence sesame yields. Kropff and Spitters (1991)
reported that the major factor influencing sesame yield in a competitive situation is the ratio
between the relative leaf area of the weed and the crop at the time of crop canopy closure.
The effects of weeds on sesame establishment and growth have been well-documented.
Balyan (1993), Gurnah (1974), Singh et al., (1992), and Upadhyay (1985) reported weedinduced reductions of sesame yield up to 65% and a need for a critical weed-free period up
to 50 days after planting. Under weedy conditions, Eagleton et al., (1987) recorded a weed
biomass six times that of sesame 48 days after planting and Bennett (1993) reported a weed
biomass 1.3 fold that of sesame 42 days after planting. Without an herbicide, hundreds of
hectares have been disced under in the U.S. due to excessive weed pressure.
Mechanically harvested non-dehiscent varieties present another problem that is not present
in manual harvest, which comprises 99% of all sesame harvested in the world (Langham &
Wiemers, 2002). If there are weeds in manual harvest, only the sesame plants are cut and
placed in the shocks. However, in mechanical harvest, sesame and weeds are cut together.
In Venezuela, a binder cuts the sesame and weeds together while they are still green, which
is not a problem because the weeds dry down at the same time as the sesame. The only
concern is that a high population of weeds may delay the combining because weeds may
envelop plants and trap moisture or thicker stem weeds such as pigweed (Amaranthus spp.)
will take longer to dry down. In direct combining, the weeds can be a big problem because
they are normally green and add moisture to the combine bin. There are many cases where
the sesame seeds are dry and weed seeds are not. Thick weed stems can add moisture, but
the major problem is weed seeds. Since it is logistically difficult to scalp off the weed seeds
at harvest, moisture from the weeds will transfer to sesame seeds. Sesame is 50% oil and
needs to be harvested at 6% moisture or below in order to be transported by trucks and
stored in silos. High moisture under these conditions can lead to heating and ruining of the
seed. A second concern is that mechanically harvested sesame moves through a series of
augers from the combine screen, to the combine bin, to the grain buggy, to the truck, to the
Weed Control and the Use of Herbicides in Sesame Production
43
silo, to the cleaning equipment, and within the cleaning process. Moist sesame can be
damaged by this movement forming free fatty acids and leading to spoiling (Langham &
Wiemers, 2002).
The small size of the sesame seed is similar to the size of many weed seeds (Langham, 2008;
Langham et al., 2010). When sesame is used for oil, weed seeds within the sesame samples are
not as critical unless they are toxic. However, a large percentage of sesame is used in the edible
markets that require 99.99% purity. There are seeds such as johnsongrass [Sorghum halepense
(L.) Pers] and other grass seeds that would seemingly be easy to remove because of their size
and shape; however, these seeds go through the round holes of the cleaning screens end first
and are difficult to separate in gravity tables because they have a similar specific gravity to
sesame (Langham, 2008). In decortication of the seed for bakery products and tahini, the seed
from lanceleaf sage (Salvia reflexa Hornem.) can cause a unique problem. When the lanceleaf
sage seed has been hydrated, the seed surface formed a gelatinous substance that can cause all
the sesame seeds around it to stick and form balls. Kochia [Kochia scoparia (L.) Schrad],
buffalobur (Solanum rostratum Dunal), Russian thistle (Salsola iberica (Sennen & Pau) Botsch. ex
Czerep.), tickseed also known as bugseed (Corispermum hyssopifolium Nutt.), and several
species of grass seeds are other weeds that are difficult to separate from sesame. Any weed
seed that is in a sesame sample in a large percentage is difficult to separate out, no matter the
size and specific gravity, without having to slow down the processing or reprocessing. In
Japan, purity needs to be 100% since processors have to pay claims to customers that find
anything other than pure sesame seeds (author’s personal observation).
Broadleaf weeds such as morningglory (Ipomoea spp.) and smellmelon (Cucumis melo L.)
affect sesame growth and development. These weeds come up in flushes after a rainfall or
irrigation event and after sesame canopy formation (Grichar et al., 2001a; Grichar et al.,
2009). They can continue growing under weak light conditions, climb the sesame plants to
the top of the canopy, and when they reach the light, greatly expand their infestation. As
soon as they reach light, their leaf size increases dramatically. In high populations, these
climbing weeds form a mat on top of the sesame and cause problems at harvest because it is
difficult to separate adjacent rows of sesame (Langham et al., 2010). Many farmers go into
these areas and treat with a herbicide such as glyphosate and sacrifice the sesame to keep
the weeds from producing seeds and increasing the problem in future years. In general,
annual plants are more susceptible to glyphosate than are perennial plants containing wellestablished underground propagules (Akin and Shaw, 2004). This difference in
susceptibility is primarily due to the ratio of herbicide-intercepting foliage compared with
the number of active sinks that need to be inhibited for plant death to occur (Franz et al.,
1997). Successful control of perennial weeds with foliar-applied herbicides depends on the
rapid absorption and basipetal translocation of the biologically active compound (e.g.,
glyphosate) into the underground storage organs in sufficient quantities to kill the entire
plant before metabolism can degrade the compound (Sprankle et al., 1975).
Sesame is mainly grown in countries where abundant and inexpensive labor is available
(Schrodter & Rawson, 1984). However, the trend in agriculture around the world is towards
mechanization. Sesame has disappeared in Japan and parts of Mexico as the sesame
growing areas mechanized. In Korea, sesame hectares have continually decreased since
1987 as the labor migrates to the cities (C. Kang, personal communication). With weak
seedling vigor, limited competitive ability, and a lack of cheap labor, the use of herbicides
are essential for commercial mechanized sesame production.
44
Herbicides, Theory and Applications
There has been considerable progress in mechanizing the crop by the development of nondehiscent capsules (Langham & Wiemers, 2002) that hold the seed until combining and
release the seed within the combine with minimum threshing. In addition, the growth habit
of phenotypes has been changed to more readily feed into combines. The one area of best
management practices for sesame that is still in development is the use of herbicides.
Several agronomic practices have reduced the need for herbicides in dry areas. Preplant
weed control followed by cultivation between rows has helped reduce weeds until the crop
has reached a sufficient height to form a canopy. In areas that have early-season rainfall,
herbicides use is essential. In addition, the trend towards minimum and no-till practices
will require both preemergence and postemergence herbicides. A preemergence herbicide is
applied to the soil before emergence of the specified weed or crop, whereas a postemergence
herbicide is applied after emergence of the specified weed or crop (Senseman, 2007). There
are two types of postemergence: over-the-top and directed application. In the latter, the
herbicide is applied with a hooded sprayer with herbicide being applied between the rows
and to the bottom of the crop - normally the lower 5 to 10 cm. In many areas where
glyphosate tolerant crops are readily grown, there are no longer hoe crews available to
manually clean the fields.
In mechanical harvest, there is an additional window of weed control that is important. The
major form of weed control after the first 30 to 50 days of planting is the formation of the
sesame canopy which blocks out light. At about 60 days after planting, current sesame
varieties begin losing the leaves under the canopy where there is no light. As the plants
mature, they self-defoliate and leaves are shed by about 100 days after planting. Without a
harvest aid, it takes 40 to 50 days from the time that the plants lose all their leaves until the
sesame is dry enough to combine. The leaves are a major part of the sun-blocking canopy,
and as the weight of the leaves are lost, the branches become more erect, which allows more
sunlight to penetrate the canopy. With autumn rains there may be new flushes of weeds,
particularly fast-growing annual grasses. These late emerging weeds can be controlled in
four ways: 1) applying postemergence-directed herbicides that have soil residual properties;
2) use of narrower row spacing; 3) planting the rows north/south so that there is light to the
ground only at mid-day; and 4) using harvest aids to shorten the sesame drying period and
which also kill and dry weeds.
Bennett (1993) found that alternating of grass and broadleaf crops in Queensland, Australia,
helped in reducing weed populations since broadleaf weeds were more easily controlled in the
grass crops and the grass weeds were more easily controlled in the sesame crop. However,
this method is not as effective in the U.S. In many areas where either corn (Zea mays L.) or
sorghum (Sorghum bicolor L.) was grown in the previous growing season, broadleaf weeds
appeared late in the season and often were not controlled until after they have produced seed.
Many of these problems result from the inability to disc the weeds mechanically due to lack of
soil moisture. In growing wheat (Triticum aestivum L.) in the winter and spring prior to
sesame, there are two problems: (1) there can be residues from broadleaf herbicides applied to
the wheat in the spring that are toxic to sesame, and (2) there are many broadleaf weeds that
will not germinate until the warm summer temperatures. In all areas, there are winter weeds
that will not germinate until the sesame plants lose their leaves.
Planting sesame in fields with low weed pressure and knowledge of herbicide carryover
from the previous crop to sesame are important in reducing weed competition and possible
sesame injury. To date, the primary means of controlling weeds has been with cultivation.
However, cultivation cannot reliably control weeds within the seed row that emerge while
Weed Control and the Use of Herbicides in Sesame Production
45
the sesame is emerging. Since sesame grows slowly in the first three to four weeks, many
growers have waited three to four weeks to cultivate. Sesame roots follow moisture and
with rain or irrigation in the first few weeks after planting, the roots may grow laterally and
stay near the surface. Cultivating too close to the plant can cut roots and plants will wilt
quickly and possibly die. In times of a dry season, roots grow more vertically allowing for
closer cultivation. The cultivation process can throw soil up on the base of the plant
covering any small weed after sesame plants are 10 to 15 cm in height. When a tractor is
used for cultivation, sesame can be cultivated when it is slightly taller than the tractor axle,
but it should be done in the afternoon when the plants are less turgid. Flower petals may
fall, but the young capsules are rarely knocked off by the tractor (Langham et al., 2010).
Breaking or creasing the main stem damages the sesame and prevents the plant from
developing.
In many sesame growing areas, the trend has been to move to no-till practices excluding the
use of cultivation. Most varieties used in the U.S. were developed for use on row spacing of
50 to 100 cm and were not suitable for narrow row spacing primarily because of the large
leaves creating too much competition between the sesame plants. Most of the sesame grown
in North and South America was bred from varieties developed by D.G. Langham in
Venezuela in the 1940-50s. Without herbicides and insecticides, he found that large leaves
canopied faster and outgrew many of the insects (B. Mazzani, personal communication).
The current breeding programs have created potential varieties with smaller leaves that will
allow for row spacing as close as 15 cm apart. With this narrow row spacing, the canopy
can develop and close within 30 days of planting, which can be about the time that some
preemergence herbicides are no longer effective. There is the potential to develop varieties
which develop closure in 21 days, but there will always be a trade-off between too much
inter-row sesame competition and rapid canopy.
Although the main thrust of this paper has been the controlling of weeds in sesame, there is
always a concern as to whether sesame will become a weed in other crops used in rotation
with sesame. There are many herbicides used in other crops that will prevent sesame from
germinating. To date, only postemergence applications of glyphosate have consistently
controlled sesame from the juvenile stage on through maturity. However, prometryn,
flumioxazin, imazapic, trifloxysulfuron, mesotrione, flumetsulam, and foransulam have
been effective in controlling sesame in some studies (Grichar et al., 2001a; Grichar et al.,
2009). Many postemergence herbicides used in other crops will delay sesame maturity
enough for the crop to canopy over-the-top of the sesame.
Until the advent of Roundup Ready® cotton, there was concern that sesame could become a
problem weed in a cotton rotation. Under normal planting conditions, cotton germinates
about 5 degrees cooler than sesame and has a faster growth rate in the first 30 days than
sesame. Cotton planted during a normal planting window rarely will have sesame as a
weed. The problem with volunteer sesame has primarily been in areas where cotton
planting has been delayed due to environmental conditions or for integrated pest
management. When there has been a volunteer sesame issue, most of the cotton herbicides
will damage sesame, but will rarely kill it. As long as the cotton stand is good, the cotton
will outgrow and canopy the sesame, but with a low cotton population, sesame would
persist. However, sesame was never a problem in the harvest of the cotton.
Volunteer sesame could be a problem in groundnut (Arachis hypogaea L.), but with peanut
herbicides such as imazapic or imazethapyr, volunteer sesame is no longer an issue.
Volunteer sesame was never an issue in monocot crops such as corn, sorghum, and small
46
Herbicides, Theory and Applications
grains because there are many good broadleaf herbicides that can control sesame.
Theoretically, sesame could be a weed in many vegetable crops, but with a wide range of
herbicides approved for those crops and the usual presence of manual labor, volunteer
sesame has not been a problem in any vegetable crop to date.
2. Herbicides, weed control, and sesame tolerance
Several herbicides provide excellent control of weeds with minimal to no damage to sesame.
However, in evaluating herbicides, there have been conflicting results, and it is difficult to
sort out why some herbicides work in one area and do not work in another. Also, in some
cases, at the same location, the herbicides effectively control weeds and little sesame injury
is noted in one year; however, the opposite may be true the following year.
With most herbicides, herbicide dose, formulation, soil texture, pH, moisture, method of
incorporation, and temperature before and after application are all a factors affecting
herbicide persistence (Smith, 1989). Since soil organic matter, temperature, and aeration are
more favorable for microbial activity in the topsoil than in the subsoil, degradation rates
may decrease if a herbicide is leached into the subsoil (Smith, 1989). Soil pH can affect
degradation directly if the stability of the herbicide is dependent upon acidity or alkalinity,
and indirectly via its effects on the absorption of the herbicide to the soil (Smith, 1989).
Increased rates of non-biological reactions and biological processes are favored by
increasing temperature, herbicide degradation rates should increase also. Adequate
moisture is also essential for microbiological activity (Smith, 1989). Martin (1995) reported
that rainfall amounts during germination and establishment can markedly affect herbicide
phytotoxicity to sesame, a possible factor in the reported erratic behavior of many
herbicides. Many herbicides will delay sesame maturity while a few herbicides will
completely kill the sesame. In many of the studies mentioned below, it will be seen with
some herbicides that even with severe stand reduction, sesame yields are good because the
plants can compensate for open space by putting out branches with capsules.
In some herbicide studies in the U.S. where multiple varieties were used, there have been
differences in varietal susceptibility. Some of the clues have not been followed up because
the moving baselines of new varieties has been fast, and the emphasis has always been
placed on the use of the most recent released variety to use in herbicide evaluations. More
work needs to be done in this area; particularly to determine whether a specific genotype
may have more tolerance to a particular herbicide.
A review of sesame herbicide information from 21 countries has shown that there are
approximately 16 herbicides that are used or have the potential to be used in commercial
sesame production somewhere in the world (Langham et al., 2007). Some of these products
are not available in the U.S. or have been discontinued. Table 1 shows the active ingredients
of these 16 current herbicides that show the greatest potential for weed control in sesame
production. The table does not contain herbicides such as flumioxazin that is used
commercially in other parts of the world, but have resulted in considerable sesame injury in
the U.S. (Grichar et al., 2001a; Grichar & Dotray, 2007).
Just as important as knowing the potential use of herbicides, it is important to note
herbicides that have resulted in severe sesame injury or have had mixed results. In some
cases, another application method of a herbicide in Table 2 can be toxic, e. g., glyphosate
postemergence over-the-top.
47
Weed Control and the Use of Herbicides in Sesame Production
Use
Commercial
Potential
Preemergence
Alachlor
Diuron
Fluchloralin
Fluometuron
Glyphosate
Linuron
Metobromuron
S-metolachlor
Pendimethalin
Trifluralin
Acetochlor
Diuron + linuron
S-metolachlor + diuron
S-metolachlor + linuron
Postemergence
Postemergence-directed
Clethodim
Diuron
Diuron
Glyphosate (only between rows
Fluazifop-P-butyl or wiper application)
Sethoxydim
Haloxyfop
Pendimethalin
S-metolachlor
Alachlor
Acetochlor
Diuron + linuron
Linuron
Diuron
Prometryn
Table 1. Current and potential herbicides for use in sesame.
There are many preemergence herbicides that have been successfully used in sesame
growing regions worldwide. These would include: alachlor, diuron, fluchloralin,
fluometuron, linuron, metobromuron plus metolachlor, metolachlor, pendimethalin, and
trifluralin. In the U.S., the main herbicides are S-metolachlor, diuron, linuron, and alachlor.
Fluchloralin and metobromuron are not available in the U.S. Glyphosate is often applied
with the preemergence herbicide to control emerged weeds. Herbicides act differently under
certain environmental conditions which include variability in soil texture, organic matter,
temperature, pH, humidity, rainfall timing and intensity, and under different methods and
timing of application (Grichar et al., 2001a; 2001b). Pendimethalin and trifluralin are
particularly difficult to use with results ranging from exceptional weed control with no
damage to the sesame to little or no sesame stand (Grichar & Dotray, 2007). Poor sesame
stands with the use of pendimethalin or trifluralin have resulted from incorporating either
of the herbicides too deep. Since sesame is planted shallow, it is difficult to properly
incorporate the dinitroaniline herbicides effectively and not have the herbicides come in
contact with the sesame seed or roots (Grichar & Dotray, 2007).
It is important to realize that the many preemergence herbicides reduce sesame populations,
but in mechanized sesame growing, this reduction is not noticed because of the cultural
practices. One of the most difficult aspects of growing sesame is getting an uniform stand.
The seeds are very small as compared to other field crops such as corn, soybean, cotton,
wheat, and peanuts. One of the trends in mechanized agriculture is to singulate the larger
seeded crops to attain the optimum plant population. Singulation has not worked in sesame
because the seeds need adjacent seeds to help emerge out of the soil. Even with seed that
has over 95% germination, rarely do more than 60% of the seeds emerge (Langham et al.,
2010). In addition, there are many variations in soil type and row configurations within the
sesame growing areas. In order to compensate for poor land preparation, the seeding rate is
increased. Sesame varieties have been selected to compensate in high populations by selfthinning and in low populations by branching (Langham 2007). Various studies have shown
that the yields are comparable between the untreated check and herbicide treatments that
have some stand reduction (unpublished data).
48
Active
ingredient
2,4-DB
Acetochlor
Acifluorfen
Alachlor
Allidochlor (CDAA)
Ametryn
Amiprophosmethyl
Asulam
Atrazine
Benefin
Benfuresate
Bensulide
Bentazon
Bifenox
Bromoxynil
Carbuthioate
Carfentrazone
Chloramben
Chlorimuron
Chloroxuron
Chlorpropham (CIPC)
Chlorsulfuron
Chorthal-dimethyl
Clethodim
Clomazone
Clopyralid
Cloransulam
Dicamba
Dichlobenil
Dichlormate
Diclosulam
Diethatyl
Diethylacetanilide
Diflufenican
Diflufenzopyr
Dimethenamid
Dinitramine
Dinoseb
Diphenamid
Diquat
Diuron
DSMA
Herbicides, Theory and Applications
Preemergence
Toxic
Potential
Commercial
Mixed results
Toxic
Toxic
Semi-selective
Toxic
Toxic
Toxic
Selective
Postemergence
over-the-top
Toxic
Potential
Toxic
Potential
Postemergence
directed
Harvest
Aid
Potential
Toxic
Toxic
Toxic
Toxic
Semi-toxic
Semi-toxic
Not effective
Mixed results
Toxic
Toxic
Mixed results
Mixed results
Semi-toxic
Commercial
Toxic
Semi-selective
Toxic
Toxic
Semi-selective
Toxic
Semi-selective
Semi-selective
Semi-toxic
Mixed results
Toxic
Toxic
Selective
Toxic
Toxic
Toxic
Toxic
Toxic
Toxic
Selective
Effective
Commercial
Commercial
Semi-toxic
Potential
49
Weed Control and the Use of Herbicides in Sesame Production
Active
ingredient
Endothall
EPTC
Ethalfluralin
Fenoxaprop
Fluazifop-P-butyl
Fluchloralin
Flufenacet
Flumetsulam
Flumioxazin
Fluometuron
Fluorodifen
Fomesafen
Glufosinate-ammonium
Glyphosate
Haloxyfop
Imazapic
Imazethapyr
Isopropalin
Lactofen
Linuron
Mesotrione
Methabenthiazuron
Methazole
Metobromuron
Metolachlor
Metribuzin
Metsulfuron
Monolinuron
Monuron
MSMA
Napropamide
Naptalam (NPA)
Nicosulfuron
Nitralin
Nitrofen
Norea
Norflurazon
Oxadiazon
Oxasulfuron
Oxyfluorfen
Paraquat
Pebulate
Preemergence
Toxic
Mixed results
Mixed results
Inconclusive
Postemergence
over-the-top
Toxic
Postemergence
directed
Harvest
Aid
Commercial
Commercial
Toxic
Toxic
Toxic
Commercial
Toxic
Toxic
Semi-toxic
Semi-selective
Mixed results
Mixed results
Commercial
Toxic
Semi-selective
Toxic
Commercial
Toxic
Selective
Toxic
Toxic
Toxic
Toxic
Toxic
Semi-selective
Mixed results
Mixed results
Effective
Effective
Semi-toxic
Potential
Mixed results
Commercial
Commercial
Toxic
Mixed results
Mixed results
Selective
Semi-toxic
Mixed results
Toxic
Mixed results
Mixed results
Toxic
Mixed results
Toxic
Semi-selective
Semi-selective
Semi-selective
Toxic
Toxic
Semi-toxic
Toxic
Toxic
Toxic
Semi-toxic
Effective
50
Herbicides, Theory and Applications
Active
Preemergence Postemergence Postemergence
Harvest
ingredient
over-the-top
directed
Aid
Pendimethalin
Commercial
Potential
Perfluidone
Selective
Phenmediphan
Toxic
Piraflufen ethyl
Semi-selective
Proatryne
Selective
Profluralin
Selective
Prometryn
Toxic
Toxic
Potential
Pronamide
Toxic
Propachlor
Selective
Propanil
Semi-selective
Propazine
Mixed results
Toxic
Selective
Prosulfuron
Mixed results
Toxic
Pyraflufen ethyl
Semi-toxic
Selective
Not effective
Pyridate
Mixed results
Pyrithiobac
Toxic
Toxic
Toxic
Rimsulfuron
Selective
Toxic
Sesone
Mixed results
Sethoxydim
Commercial
Simazine
Toxic
S-metolachlor
Commercial
Potential
Sufentrazone
Toxic
Sulfonamide
Mixed results
Thiobencarb
Toxic
Triasulfuron
Mixed results
Trifloxysulfuron
Mixed results
Toxic
Toxic
Trifluralin
Commercial
Mixed results
Vernolate
Toxic
aIn the evaluation the following categories of effectiveness are used:
Commercial: used commercially in at least one country
Potential: potential to use commercially
Selective to sesame: does not damage sesame
Semi- selective to sesame: some damage to sesame, but helps
Mixed results with some showing some selectivity and others showing toxicity
Toxic: substantial reduction of production
Semi- toxic: enough reduction that probably cannot be used
Effective as a harvest aid
Not effective as a harvest aid
Table 2. Summary of herbicides that have been evaluated for weed control and sesame
tolerancea.
Until 2000, little or no research has been done on the use of postemergence herbicides in
sesame (Grichar et al., 2001b). Most of the herbicide work has been at crop establishment.
From initial work done in the U.S. in Arizona, several postemergence herbicides have done
Weed Control and the Use of Herbicides in Sesame Production
51
a very good job controlling grasses and not damaging the sesame. Grass herbicides,
fluazifop-P-butyl, haloxyfop, and sethoxydim have been used successfully in many parts of
the world. More recently, clethodim has proven equally good controlling both annual and
perennial grasses (particularly johnsongrass) and not damaging sesame (Grichar et al.,
2001b). There is a label in the U.S. for clethodim (Select Max®) use in sesame which allows
spraying in all phases except flowering (Langham et al., 2010). Concerns have been raised
on the use of clethodim after extensive glyphosate applications and improper clean-out of
spray tanks. Sesame capsule inhibition has been noted when glyphosate carryover has been
noted in spray tanks that have been used to apply clethodim. The cleaning and removal of
any glyphosate residues in spray tanks after each herbicide use is essential to prevent
herbicide carryover.
To date there is no postemergence over-the-top broadleaf herbicide that will control the weeds
without damaging the sesame (Grichar et al., 2001b). There are products such as alachlor and
metolachlor that cause minimum injury to sesame when applied postemergence, will not
control emerged weeds, but will provide some soil residual activity (Grichar et al., 2001a;
Grichar et al., 2009). In the case of herbicides such as diuron, sesame will recover, but the
farmer will notice stunting and leaf necrosis on sesame leaves for about 10 days after herbicide
application (Grichar et al., 2009). In some sesame herbicide research, severe sesame plant
stunting and leaf necrosis has resulted in good weed control and produced higher yields than
the untreated check because of the loss of production to weeds in the untreated check (Grichar
et al., 2009). A controversial use of herbicides is what is known as a "rescue treatment", which
is using a herbicide that will injure the sesame, but will bring weeds under some control and
allow the sesame to be harvested at an economic return. As an example, a farmer used
clopyralid on a portion of a field that was being overwhelmed by common cocklebur
(Xanthium strumarium L.). Where he did not spray, he lost the crop; however, where he
sprayed there was damage to the sesame with control of the cocklebur and he harvested about
660 kg/ha. However, many sesame growers in the U.S. are not tolerant of any type of sesame
herbicide injury even knowing that the sesame will recover.
Starting in 2003, research has been conducted using postemergence-directed herbicides with
and without the use of hooded sprayers. This work is very encouraging; however, there are
many cropping patterns that preclude the use of hooded sprayers. There is a label for
glyphosate (Roundup Max®) that allows wiper applicators or hooded sprayers to be used
between sesame rows (Langham et al., 2010). While this does not provide effective weed
control in the sesame seed row, it helps with vining weeds such as morningglory species
(Ipomoea spp.) and smellmelon (Cucumis melo L.) that spread across the rows. While
morningglory is becoming increasingly tolerant of glyphosate, glyphosate will slow the
growth of morningglory and reduce the damage to the sesame from this weed. In the case of
Amaranthus, which quickly can become taller than the sesame, wiper applicators using
glyphosate have been very successful, particularly in areas with high relative humidity, as
long as the glyphosate does not drip on the sesame. Initial work with spraying glyphosate
on the sesame stem showed little injury; however, in subsequent studies, there have been
instances of severe damage. In further observations, when the sesame was under moisture
stress, there was little damage, but when the plants were in a rapid growth phase following
rainfall or irrigation.
One of the major problems in using postemergence-directed herbicides has been the timing of
the application and the height of the spray application on the sesame stem as related to the
height of the plant. Recent work has shown that there are differences in applying herbicides at
52
Herbicides, Theory and Applications
5 cm above the surface versus 15 cm; differences in applying 4 weeks after planting versus 6
weeks; and differences is the heights of the plants in different locations in a field. In waiting
for the sesame to get tall enough to spray a postemergence-directed herbicide, weeds also
become tall and herbicides may not control taller weeds (Langham et al., 2010).
In reviewing research using postemergence herbicides, it is sometimes difficult to
understand exactly at what stage of growth the herbicide was applied (Langham et al. 2007).
Many of the documents will cite the number of days after planting or the height of the
plants. However, there are many differences in the cultivars of the world in terms of number
of days in each stage and in the heights of the plants in each stage as shown in Table 3.
In order to standardize terminology, a phenology chart has been developed to specify the
beginning and end points of the stages (Langham, 2007). Table 4 summarizes sesame
phenology.
Days from planting
Phase length
Phase
Range
Mean
Range
Mean
Vegetative
29-59
42
29-59
42
Reproductive
56-116
89
16-70
47
Ripening
77-140
108
(14)b-54
11
Drying
102-181
150
11-57
38
a Based on sesame germplasm from Sesaco Corporation (Langham 2007)
b In some cultivars, there are dry capsules above green leaves while the upper portion of the
plant is still flowering creating a negative range.
Table 3. Range and mean of number of days in phases for sesame germplasm.a
Stage/Phase
Vegetative
Germination
Seedling
Juvenile
Pre-reproductive
Reproductive
Early bloom
Mid bloom
Late bloom
Ripening
Drying
Full maturity
Initial drydown
Late drydown
End point of stage
DAPa
No. weeks
Emergence
3rd pair true leaf length=2nd
First buds
50% open flowers
0-5
6-25
26-37
38-44
131+
1-
5 node pair of capsules
Branches/minor plants
stop flowering
90% of plants with no open flowers
Physiological maturity
45-52
53-81
1
4
82-90
91-106
1+
2+
All seed mature
1st dry capsules
Full drydown
107-112
113-126
127-146
12
3
DAP, days after planting. These numbers are based on S26 (Sesaco Corp.) in 2004 near
Uvalde, TX under irrigation.
a
Table 4. Phases and/or stages of sesame.
Future work on sesame herbicides should specify the stage of the sesame. Recent application
timing work has shown that some herbicides are phytotoxic in the seedling stage, are
Weed Control and the Use of Herbicides in Sesame Production
53
neutral in the juvenile stage, and reduce yield in the pre-reproductive through mid bloom
stages. Additional work is needed to verify these initial findings as to the exact neutral
stages, but there is enough data to know that plant stage at application is critical.
A second problem in reviewing the literature is that some of the work has not been carried
through to completion of the sesame crop (Langham et al. 2007). Sesame has a remarkable
ability to compensate. Recent work has compared the stunting/damage ratings of some
contact-based herbicides and showed that the amount of damage to sesame was reduced
over time and the yields of stunted/damaged materials was comparable to the weed-free
checks. Sesame injury ratings should only be done by researchers familiar with sesame.
Sesame yields are related to the number of capsules and the seed weight per capsule per
square meter. There have been herbicide treatments that apparently damage the sesame,
i.e., the yellow splotching of leaves by such herbicides as diuron, but the number and
weight of the capsules were not affected. In some cases, the herbicide delayed flowering,
but the plants flowered longer. A reduction in plant height may not affect yield.
Below is a discussion of the most promising and effective herbicides for use across the
sesame growing areas of the world. A discussion of research in various sesame growing
areas is also included.
3. Alachlor
Alachlor, a chloroacetamide herbicide, has been widely used in corn, groundnut, snap bean
(Phaseolus vulgaris L.), and soybean for preemergence annual grass and broadleaf weed control
(Wilson et al., 1988). Bijanzadeh and Ghadiri (2006) reported that alachlor alone controlled
redroot pigweed (Amaranthus retroflexus L.) 68 to 72% in one year and at least 92% in another,
but the efficacy of atrazine plus alachlor increased when tank-mixed together.
Alachlor is the most widely used sesame herbicide in the world. However, little work has been
done in the U.S. because the Environmental Protection Agency (EPA) has indicated that
additional uses of alachlor would not be approved due to groundwater concerns. Commercial
preemergence uses of alachlor include the following: in Thailand, a field guide recommends
alachlor at 1.2 to 1.5 L/ha in case of labor shortage (Anonymous, 1997). In Honduras, a grower
guide states that alachlor proved to be very effective in the control of weeds in sesame
(Anonymous, 2002). In Mexico, a grower guide for Michoacan recommends the use alachlor as
a preemergence alone or in combination with linuron and diuron. In all instances, 250 to 300L
of water was used as carrier volume (Anonymous, 2007a). In El Salvador, a growers guide
recommends 2.8 L/ha of alachlor (Anonymous, 2007b).
Research on alachlor use in sesame dates back 40 years. In Bulgaria, Lyubenov and
Kostadinov (1970) conducted experiments with sesame sown on Chernozem Smolnitsa soil.
Alachlor applied preemergence at 4 kg/ha effectively controlled weeds and increased
sesame seed yields and seed oil content. In Ethiopia, Moore (1973a; 1973b) found that
alachlor between 1.6 and 2.9 kg/ha was the safest of the herbicides to be tested, provided
high yields, but residual activity was poor. In California, in studies with alachlor applied
preplant incorporated under furrow irrigation in multiple locations and years, alachlor
provided excellent weed control of Amaranthus spp., wild mustard (Brassica kaber L.) and
various grasses with minimal injury to the sesame, but little control of volunteer barley
(Hordeum vulgare L.) and marginal control of other broadleaf weeds was noted (St. Andre,
unpublished data). In the only experiment carried to maturity, sesame yield following
alachlor at 2.25 kg/ha was 1,051 kg/ha, while yields from the weedy and weed-free control
54
Herbicides, Theory and Applications
were 259 and 1,075 kg/ha, respectively (St Andre, unpublished data). In India, Subramanian
and Sankaran (1977, 1981) conducted experiments over 4 seasons in both summer and
winter crops to study the efficiency of alachlor. They found that alachlor at 1.75 kg/ha
controlled desert horse purslane (Trianthema portulacastrum L.) and purple nutsedge
(Cyperus rotundus L.) and provided the maximum net income and the highest return per
rupee invested in weed control. Graph et al., (1985) showed preemergence treatments with
1.0 to 2.0 kg/ha of alachlor did not injure sesame but caused damage when applied with a
preplant incorporated trifluralin treatment. In Australia, Schrodter and Rawson (1984)
evaluated alachlor in 3 experiments over two years. They concluded that alachlor was the
safest herbicide with yield, population, and vigor similar to the weed-free control. The
overall conclusion was that alachlor at 2.25 kg/ha applied preemergence was the most
acceptable herbicide treatment for sesame. In Ethiopia, work with various herbicides
indicated that the greatest yields were obtained with alachlor at 2.9 kg/ha (Anonymous,
1973). Kim et al., (1986) conducted field trials in the sesame-producing uplands of Korea, to
study herbicide efficacy and phytotoxicity in crops grown under polyethylene film.
Alachlor at 1.5 L/ha produced sesame yields equivalent to that obtained with manual weed
control. In Venezuela, Pineda et al., (1988) tried alachlor as a preemergence herbicide and
found it was comparable to the untreated check with respect to sesame yield. In India,
Bansode and Shelke (1991) assessed six weed control treatments (an unweeded control,
hand-weeding plus hoeing 3 weeks after sowing), and alachlor at 0.75 or 1.5 L/ha applied
preemergence in field trials during the kharif of 1988 with sesame cv. Punjab-1 and T-85.
Alachlor applied preemergence to cv. Punjab-1 combined with hand-weeding plus hoeing
provided greatest yields (689 kg) compared to hand-weeding plus hoeing alone (583 kg)
and all other treatments.
In a Venezuela grower guide, Caraballo et al., (1986) found that alachlor applied at 6, 5, 4,
and 3 L/ha yielded 1,008, 833, 848, and 810 kg/ha, respectively, compared to the weedy
check yield of 536 kg/ha and weed-free check yield of 1,042 kg/ha. In India, Dungaral et
al., (2003) conducted a field experiment during the kharif seasons of 1997 and 1998 to
evaluate the relative efficacy of alachlor applied alone or in combination with one hoeing at
four weeks after sowing to control weeds in sesame cv. TC 25. On average, season-long
weed competition caused 50% reduction in seed yield. Among the herbicides, the
preemergence application of alachlor at 2.0 kg/ha combined with one hoeing at 4 weeks
after sowing registered the greatest weed control efficiency, which enhanced yield attributes
leading to greater seed yield (530 kg/ha) and net return (Rs. 4275/ha). In India, Anil and
Thakur (2005) concluded that the greatest sesame yields were obtained with alachlor at 1.5
kg/ha alone or in combination with hand weeding. In the U.S., B. Sadler (2007, personal
communication) has grown sesame for bird hunting for the past twenty years. He has used
both alachlor and metolachlor in alternating years in order to control yellow (Cyperus
esculentus L.) and suppress purple nutsedge.
4. Metolachlor and S-metolachlor
Metolachlor or S-metolachlor are commonly used in various crops for control of small-seeded
broadleaf weeds, some annual grasses, and yellow nutsedge (Grichar et al., 1996). Smetolachlor will control small-seeded annual grasses, but does provide inconsistent control of
large-seeded annual grasses (Grichar et al., 2004a; 2004b). Many growers have reported
peanut stunting when soil applications of metolachlor have been followed by rain (Grichar et
Weed Control and the Use of Herbicides in Sesame Production
55
al., 1996). Grichar et al., (1996) reported that postemergence applications of metolachlor
followed by irrigation within 24 h could be effective for yellow nutsedge control and reduce
the chance of peanut injury from soil applications. Combinations of factors, such as herbicide
dose, moisture conditions at planting, soil organic matter, and pH may affect peanut injury by
chloroacetamide herbicides such as S-metolachlor (Cardina & Swann, 1988; Wehtje et al., 1988;
Osborne et al., 1995; Mueller et al., 1999). Cardina and Swann (1988) reported that metolachlor
often delayed peanut emergence and reduced peanut growth when irrigation followed
planting; however, yield loss was observed only when metolachlor was applied at a 3X rate.
In many areas of the world, metolachlor has shown similar results as alachlor on sesame and
is being used more frequently because it requires less active ingredient per hectare to
achieve similar results. Commercial preemergence uses of metolachlor include the
following: in Thailand, a field guide recommends metolachlor at 1.2 to 1.25 L/ha in case of
labor shortage (Anonymous, 1997). In Australia, grower guides in the Northern Territories
(Bennett 1998) and in South Burnett (Sapin et al., 2000) recommend the use of metolachlor.
In El Salvador, a grower guide recommends 1.4 L/ha of metolachlor (Anonymous, 2007c).
Reportely, alachlor has been used in commercial fields in Mexico, Venezuela, Brazil,
Nigeria, Ethiopia, Nicaragua, Guatemala, and Argentina.
In preemergence experiments in the U.S., metolachlor treatments (2.2 kg/ha) had a slight
reduction in sesame vigor, provided good broadleaf control initially, but allowed broadleaf
weeds to germinate later (St Andre, unpublished data). Metolachlor applied preemergence at
2.1 kg/ha was one of the best overall treatments, but preplant incorporation of metolachlor
affected early vigor and stunted the sesame (D. Howell, unpublished data). In Egypt,
metolachlor alone at 1.2 and 1.8 kg/ha and a premix of metolachlor and metobromuron
(Galex®) was tested. The premix provided good broadleaf weed control while both
metolachlor alone and the premix provided good annual grass control (Hussein et al., 1983).
In Nicaragua, metolachlor at 1.1 and 2.2 kg/ha provided good grass control, did not injure the
sesame, and doubled the yield from that of the untreated check (Soto-Soto & Silva-Vasquez,
1987). In Ethiopia, metolachlor at 1.7 kg/ha provided good grass and broadleaf control, which
resulted in a significant yield increase (Zewdie, 1994). In Australia, Martin (1995) reported that
metolachlor adequately controlled weeds but caused unacceptable crop injury. Despite that
report, farmers use metolachlor for commercial sesame fields (M. Bennett, L. Serafin, and P.
O’Shanesy, personal communication). Metolachlor at 0.6, 1.1, 2.2, and 3.4 kg/ha resulted in
variable sesame plant populations, had no effect on sesame plant height, resulted in consistent
weed control, and provided greater yields than the untreated plots (Grichar et al., 2001a).
In later work at a south Texas location, S-metolachlor caused no sesame stand reduction or
injury; however, at the Lubbock location, stand reduction and injury was noted in one of
two years (Grichar et al., 2009). Also, sesame stand reductions have been observed in
Oklahoma where S-metolachlor was applied followed by irrigation, but there was no
problem when planted into moisture (C. Medlin & C. Godsey, personal communication).
However, in 2009, there was no stand reduction (J. Armstrong, personal communication). In
Argentina, metolachlor at 0.8 kg/ha provided good control of Amaranthus quitensis but
marginal control of Raphanus sativus. S-metolachlor did provide similar yields to the weedy
and weed-free checks (L. Lanfranconi, unpublished data). S-metolachlor alone in
comparison with diuron, linuron, and a premix of linuron and diuron has produced sesame
yield similar to the weed-free check at several location in Texas (Table 5). When Smetolachlor was applied postemergence over-the-top of sesame at the juvenile stage,
minimal stunting and yield differences were observed (authors’ personal observations).
56
Herbicides, Theory and Applications
Uvalde a
Average yield vs.
Lorenzo
untreated
Treatment
Rate
2007
2008
2008
Kg ai/ha
Kg/ha
Percent
Untreated
1,224
763
1,233
100
Diuron
0.6
1,417
835
1,127
106
Diuron
1.2
1,350
751
1,211
102
Diuron
2.4
1,215
742
1,105
95
Linuron
0.6
1,280
829
1,199
103
Linuron
1.2
1,278
879
1,300
108
Linuron
2.4
1,267
625
1,289
97
S-metolachlor
0.7
1,168
773
1,233
99
S-metolachlor
1.4
1,138
834
1,161
99
S-metolachlor
2.8
1,185
888
1,237
105
Linuron + diuron
0.3 + 0.3
1,203
790
1,199
100
Linuron + diuron
0.6 + 0.6
1,327
767
1,121
100
Linuron + diuron
1.1 + 1.1
1,374
781
1,239
105
LSD (0.05)
NS
140
NS
a No yield taken in 2007 due to glyphosate drift from adjacent sorghum fields.
Table 5. Sesame yield response to preemergence herbicides at two locations in Texas.
In the U.S., S-metolachlor has been used under temporary labels from the EPA on over
50,000 hectares of sesame and provided good weed control with no evidence of a reduction
in yield. Hundreds of hectares that have not had S-metolachlor applied have been plowed
under because of severe weed pressure. Amaranthus spp. and small-seeded grasses are the
most damaging weeds to sesame in the U.S. and S-metolachlor provides excellent control of
these weeds when applied immediately after planting of sesame (Grichar et al., 2001a; 2009).
5. Diuron
Diuron is systemic urea herbicide that inhibits photosynthesis and has been used to control
various weeds in cotton (Culpepper et al., 2004). Reddy et al., (2007) reported that ragweed
parthnium (Parthenium hysterophorus L.) was highly sensitive to pigment inhibitors and
photosynthetic inhibitors such as diuron compared to herbicides with other modes of action.
Commercial preemergence uses of diuron in sesame include the following: in Mexico, a
grower guide recommends a diuron mixture with alachlor at 0.5 kg plus 1.0 kg/ha,
respectively, for commercial fields (Anonymous, 2007a). Diuron, when used preemergence,
controls many broadleaf weeds that cannot be controlled by S-metolachlor. Also, diuron has
the potential to be used postemergence as a rescue treatment when broadleaf weeds are
growing profusely.
In preemergence experiments in Venezuela, diuron at 0.6 and 1.2 kg/ha reduced sesame
yield, but yield would have been much lower without weed control (Mazzani, 1957). In one
year in the U.S., diuron at 0.8 and 1.7 kg/ha resulted in adequate weed control without
apparent crop injury; however, in another year, there was stand reduction and chlorosis
(Culp & McWhorter, 1959). Further work in Venezuela showed that diuron provided
reasonable control of weeds with no significant reduction in yield (Montilla, 1964; Mazzani,
Weed Control and the Use of Herbicides in Sesame Production
57
1966). In Sri Lanka, diuron at 0.6 and 0.8 kg/ha effectively controlled weeds with no
significant reduction in yield (Appendurai, 1967); however in Ethiopia, diuron caused
serious crop damage in both irrigated and rainfed trials (Moore, 1974). In Egypt, diuron at
1.0 kg/ha was tested alone and in tank mixtures with pendimethalin. The herbicide
combinations controlled both grass and broadleaf weeds and resulted in greater yields
(Ibrahim et al., 1988). In contrast, Viera et al., (1998) reported that diuron mixtures (0.8, 1.0,
and 1.3 kg/ha) with pendimethalin and alachlor caused greater phytotoxicity with the
greatest dose. However, there was no difference in the height of the first fruiting branch, the
number of capsules per plant, and the yield between the different herbicide treatments and
manual weeding (Viera et al., 1998). In Brazil, diuron at 1.0 kg/ha enhanced seed production
(Beltrao et al., 1991). In later work by Grichar et al., (2009), they reported that diuron at 1.12
kg/ha reduced sesame stands and caused sesame injury in one year in the Texas High
Plains area; however, in south Texas no adverse effects with diuron were seen in the two
years. Sesame yield from plots treated with diuron have not been different from the weedfree check (Table 5).
Diuron also has a potential for use as a postemergence both over- the-top and directed. In
post-directed studies, the authors have found that diuron controls emerged weeds with
minimal damage to the sesame. In Venezuela a grower guide (Avila, 1999) recommends
that when the plants are about 30 cm tall [juvenile stage], diuron should be used at 1.5 L/ha.
They reported that diuron controlled the weeds with minimum damage to the sesame. In
Venezuela, Caraballo (1986) did a timing study using diuron at 1.5 L/ha with 0.5 L of
surfactant. Applications at 15, 22, 29, 36, 43, and 50 days after planting resulted in yields of
947, 896, 817, 911, 762, and 770 kg/ha, respectively, compared to 557 kg/ha in the weedy
check and 1117 kg/ha in the hand-weeded check. Diuron controlled 94% of the broadleaves
and 89% of the grasses.
In recent work with postemergence applications of diuron, an application at the late juvenile
stage has shown a discoloration of the leaves and some height reduction, but yields have
been comparable to the weed-free check (authors’ personal observations). Recent timing
studies have shown that time of application is critical. Minimal sesame damage has been
found when diuron has been applied in the late juvenile stage; however, earlier applications
in the seedling stage severely damaged the sesame and applications during sesame
flowering reduced yield (authors’ personal observations).
6. Linuron
Linuron, a substituted urea herbicide, has been used extensively in cotton and carrot
(Daucus carota L.) as a preemergence or postemergence herbicide since the 1960’s for control
of annual broadleaf weeds such as pigweed spp., common ragweed (Ambrosia artemisiifolia
L.), common groundsel (Senecio vulgaris L.), and common purslane (Portulaca oleracea L.)
(Bell et al., 2000; Bellinder et al., 1997; Saint-Louis et al., 2005). Linuron can be used in
combination with 2,4-DB to control sicklepod (Cassia obtusifolia L.) in soybean; however, a
height differential must be established between soybean and sicklepod to cover the weeds
without contacting more than the lower 25 to 30% of the soybean plant to reduced herbicide
injury (Shaw & Coats, 1988).
Commercial preemergence uses of linuron in sesame include its use in Mexico. A grower
guide recommends a linuron mixture with alachlor at 0.5 kg plus 1.5 L/ha, respectively, for
commercial fields (Anonymous, 2007a).
58
Herbicides, Theory and Applications
In studies using linuron applied preemergence, Santelmann et al. (1963) found slight
phytotoxicity and a reduction in sesame yield with linuron at 2.24 kg/ha. In Bulgaria,
Lyubenov and Kostadinov (1970) found preemergence application of mixtures of 3 kg/ha of
linuron and 3 kg/ha of alachlor gave effective control of weeds and increased seed yields
and seed oil content. In Egypt, Hussein et al. (1983) found linuron at 1.8 kg/ha increased
the seed yield 60% as compared to the weedy check. Seed oil content was not affected. In
Australia, Schrodter and Rawson (1984) evaluated linuron in 3 experiments over two years.
They concluded that linuron increased the yield over the weedy check, but did not provide
yields comparable to alachlor and the weed-free control. In Nicaragua, Soto-Soto & SilvaVasquez (1987) conducted trials in two sites. They concluded that linuron provided the best
control of broadleaf weeds and metolachlor provided the best control of grasses; neither
damaged the sesame; and recommended rates of 2.1 L/ha for both herbicides. In Argentina,
linuron applied preemergence at 1.5 and 2.0 L/ha controlled weeds and provided yields
close to the check (L. Lanfranconi, unpublished data). In the U.S., linuron at 0.6 to 2.4 kg/ha
has produced yields as good as the weed-free check (Table 5).
Linuron in combination with glyphosate as a postemergence-directed spray has caused
severe sesame injury. In more recent work, however, linuron alone did not injure sesame
and controlled problem weeds such as morningglory and smellmelon. Linuron can
complement the use of metolachlor by providing additional broadleaf weed control.
7. Fluometuron
Fluometuron controls many annual dicotyledon weeds, however, it does not completely
control some of the more troublesome weeds found in crops such as cotton (Burke & Wilcut,
2004). These troublesome weeds that fluometuron does not completely control include
Amaranthus spp., Ipomoea spp., prickly sida (Sida spinosa L.), and sicklepod (Senna obtusifolia
L.) (Buchanan, 1992; Crowley et al., 1979; Culpepper & York, 1997). Fluometuron applied
postemergence may injure cotton and delay maturity (Guthrie & York, 1989). Guthrie and
York (1989) stated that growers may resort to this type of application when an insufficient
height differential between the crop and weeds prohibits postemergence-directed herbicide
applications. Commercial preemergence uses of fluometuron in sesame include Costa Rica,
where a grower guide (Anonymous, 2007d) recommends using an application of
fluometuron at 2 kg/ha.
In preemergence experiments in India, fluometuron did not perform as well as alachlor or
dichlormate (Subramanian & Sankaran, 1977). In Bulgaria, fluometuron at 1.0 kg/ha applied
2 days after sowing controlled annual broadleaf weeds. The quality and fat content of
sesame seeds were not affected (Georgiev, 1980). In India, Subrananian & Sankaran (1981)
found that fluometuron at 0.25 to 1.75 kg/ha did not perform as well as alachlor. In the U.S.,
fluometuron rates of 0.3 and 1.1 kg/ha had no effect on sesame height or population,
provided good weed control, and had comparable yields to the check in south Texas
(Grichar et al., 2001a). Later, Grichar et al., (2009) reported that fluometuron at 1.12 kg/ha
in the High Plains region of Texas reduced sesame stand and caused injury in one of two
years while no stand reduction or injury was noted at the south Texas location.
Recent work has evaluated fluometuron for use as a postemergence herbicide. There is
some damage to the sesame when applied postemergence; however, it may be a good rescue
herbicide. The sesame damage parallels diuron in that there is less damage in the late
juvenile stage.
Weed Control and the Use of Herbicides in Sesame Production
59
8. Prometryn
Prometryn has been widely used as a residual soil-applied and postemergence-directed
herbicide in cotton grown west of the Mississippi River in the U.S. (Byrd, 2000) and controls
many annual grasses and broadleaf weeds (Corbett et al., 2002; Burke & Wilcut, 2004).
Prometryn is the only registered herbicide in the U.S. that provides excellent broadspectrum control of weeds such as little mallow (Malva parviflora L.), shepherdspurse
(Capsella bursa-pastoris L.), common purslane (Portulaca oleracea L.), and burning nettle
(Urtica urens L.) in celery (Apium graveolus L.) (Daugovish et al., 2007). Currently, there is no
commercial use of prometryn in sesame.
In preemergence experiments in Ethiopia, prometryn at 1.0 kg/ha was used safely on
irrigated sesame while prometryn at 1.85 kg/ha resulted in less than 10% sesame injury. In
a similar trial under natural rainfall, prometryn at 2.2 kg/ha completely eliminated the crop
(Anonymous, 1973). In other studies in Ethiopia under irrigated conditions, prometryn
applied preemergence at 3.2 kg/ha provided excellent weed control with negligible crop
damage. However, under rain-fed conditions, prometryn at 0.8 kg/ha caused 100% sesame
mortality (Moore, 1974). In Egypt, prometryn at 1.9 kg/ha caused sesame injury compared
to pendimethalin alone and in tank mixtures with linuron and diuron (Ibrahim et al., 1988).
In the U.S., preemergence applications of prometryn at 0.5 kg/ha caused no sesame injury,
but prometryn applied preplant incorporated almost completely eliminated the sesame (D.
Howell, unpublished data). Prometryn at 0.6 and 1.1 kg/ha resulted in lower sesame
populations, lowered plant height, and also significantly reduced yields compared with
metolachlor at 1.1 or 2.2 kg/ha (Grichar et al., 2001a). However, in a later study in south
Texas and the High Plains of Texas, prometryn injured sesame but yields were not reduced
from that of S-metolachlor (Grichar et al., 2009).
Farmer experience with prometryn is instructive in how a simple change in planting
procedures can change results dramatically. In Arizona in the early 1980s, prometryn
applied preplant incorporated provided excellent weed control with no apparent damage to
sesame. In one year, suddenly there were very poor stands. In analyzing the situation, the
farming practices had been to use a double disc opener to open the soil followed by press
wheels after the seed was planted to close the gap. Farmers had decided that at times the
press wheels did not close the trench resulting in moisture loss and poor germination. A few
farmers put a chain on the back of each planter unit to drag soil back over the trench. These
were the farmers that were not getting a stand. Basically, the double disc openers were
pushing the soil layer with the prometryn to the sides, and allowed the sesame to germinate
through the prometryn-treated herbicide zone. With the new farming practice, the soil with
prometryn was brought back over the seed, and the sesame would not germinate. One
simple farming practice changed success to failure.
In the past few years in Texas, under some conditions, prometryn applied preemergence has
caused severe injury while in other instances little or no sesame injury has been noted.
Another concern with prometryn is the effect on the sesame when the herbicide is applied to
the previous crop. In West Texas, it is common to have localized hail storms that destroy
cotton fields. In many cases, it is too late to replant cotton, but early enough to plant
sesame. Sesame has followed thousands of hectares of failed cotton treated with prometryn
with little or no injury to the sesame.
In studies with prometryn applied postemergence over-the-top or postemergence-directed,
no injury has been noted with prometryn applied postemergence-directed but severe
60
Herbicides, Theory and Applications
sesame injury has been found when applied over-the-top (author’s personal observations).
Excellent weed control, especially morningglory spp., has been noted with the
postemergence-directed applications.
9. Clethodim, Fluazifop-P-butyl, Sethoxydim and Haloxyfop
Large seed grasses such as Texas millet [Urochloa texana (Buckl.) R. Webster] and rhizome
johnsongrass can be a serious problem in sesame fields and are not controlled with current
preemergence herbicides; therefore, postemergence grass herbicides are an absolute
necessity. Postemergence control of annual grasses can be obtained with several herbicides
(Grichar, 1991 a,b; Prostko et al., 2001). Grichar (1991a) found that sethoxydim applied early
postemergence provided more effective annual grass control than late postemergence
applications. However, grass size did not affect control with clethodim. Sethoxydim was
reported to provide poor Texas millet control under less than ideal moisture conditions
(Grichar, 1991a). Grichar (1991a) speculated that reduced moisture conditions resulted in
less uptake and translocation of the herbicide within the plant (Chernicky et al., 1984;
Fawcett et al., 1987). Clethodim controls annual grasses at lower use rates than sethoxydim.
Prostko et al. (2001) noted 90% Texas millet, southern crabgrass (Digitaria ciliaris L.), or
crowfootgrass [Dactyloctenium aegyptium (L.) Willd.] control occurred when clethodim
followed an application of a soil applied dinitroaniline herbicide.
Commercial postemergence uses of grass herbicides in sesame include the following: in a
Venezuela grower guide (Avila, 1999) stated that for grasses, fluazifop-P-butyl at 200 to 400
ml/ha worked well. In Australia, a grower guide (Sapin et al., 2000) stated that sesame was
susceptible but tolerated fluazifop-P-butyl, haloxyfop, and sethoxydim. In Nigeria, a survey
of agricultural crops (Anonymous, 2004a) suggested that fluazifop-P-butyl was used by two
sesame farmer cooperatives. In the U.S., a producer guide (Langham et al., 2010) states that
there is a label for clethodim but it should not be used during the flowering phase.
Clethodim use during flowering will prevent capsule formation for 1 to 10 node pairs.
Reportedly, fluazifop-P-butyl is commercially used in Mexico, Guatemala, Brazil, Paraguay,
and Argentina while sethoxydim is used in Australia, and clethodim is used in the U.S.
In studies in Somalia, Malik and Muhammed-Ramzan (1992) showed that fluazifop-P-butyl at
3.7 L/ha and hand weeding provided effective control of grasses. In the U.S., Grichar et al.,
(2001b) reported that fluazifop-P-butyl and sethoxydim increased sesame yield over the
untreated check and this was attributed to the control of Texas millet and southern crabgrass.
In field studies in south Texas, clethodim has had no effect on sesame; however, when used by
growers there has been considerable sesame injury under certain conditions. This injury has
manifested itself as an inhibition of capsule formation. Field experiments which tried to
replicate farmer results by using every permutation of 1x, 2x, and 3x rates of clethodim and 0,
1x, 2x, and 3x rates of crop oil showed no damage to sesame. However, in 2005, minute traces
of glyphosate were added to clethodim and the farmer results were replicated. It was
hypothesized that glyphosate residues had contaminated the clethodim in commercial air and
ground sprayers. Further analysis of the effects of glyphosate drift from adjacent fields
showed the same symptoms of yellowing of the growing tip, poor growth, and lack of
formation of capsules for a period of time. Additional testing of timing of clethodim
applications has shown that certain conditions, the application of clethodim during flowering
will result in no capsule formation for 0 to 10 node pairs. However, there is not yellowing of
the growing tip and plant growth is normal. Minimal damage to sesame (in the form of lack of
capsule formation) has been noted with fluazifop-P-butyl and sethoxydim.
Weed Control and the Use of Herbicides in Sesame Production
61
10. Glyphosate and/or Glufosinate-ammonium
Glyphosate is one of the safest and most frequently used herbicides in the world (Tao et al.,
2007). It is a non-selective herbicide that controls many weed species. Products containing
glyphosate are registered in more than 130 countries and are approved for weed control in
more than 100 crops (Fernandez-Cornejo & McBride, 2000). Use of glyphosate increased
dramatically with the introduction of glyphosate resistant crops. Crops that are glyphosate
resistant allow glyphosate to be used as a selective herbicide and have offered additional
options for weed control and have brought tremendous economic and agronomic benefits to
growers around the world (Prostko et al., 2003; Thomas et al., 2006). A weakness of
glyphosate is poor morningglory control (Corbett et al., 2004; Jordan et al., 1997).
Another development from the use of glyphosate-tolerant (Roundup Ready®) crops has
been, in some instances, reduced weed pressure or increased weed species shifts when a
Roundup Ready® crop has been grown for a number of years (Culpepper et al., 2000;
Hilgenfeld et al., 2004; Marshall et al., 2000). In these areas, glyphosate has been so effective
at controlling weeds that farmers are not concerned with a build-up of weed seed in the soil.
Also, the overuse of this herbicide has resulted in an increase in glyphosate resistance to
several weed species including Amaranthus spp., Italian ryegrass (Lolium multiflorum L.), and
marestail or horseweed (Conyza canadensis L. Cronquist) (Bradshaw et al., 1997; Culpepper et
al., 2006; Feng et al., 2004; Koger and Reedy, 2005; Mueller et al., 2003; Peterson, 1999).
Glyphosate is cleared in the U.S. for use in sesame as a burndown, with wiper applicators,
and/or hooded sprayers in row middles (Langham et al., 2010). For burndown use,
glyphosate should be applied before, during, or just after planting but before the sesame
seedlings emerge. There have been no reports of glyphosate damage with the exception of
late application where the seedlings have cracked the ground and exposed the plant to
direct contact with the glyphosate. In the commercial use of glyphosate between the row
middles, many weedy fields have been cleaned of weeds with no damage to the sesame.
Wiper applications have been successful in controlling Amaranthus spp. as long as there is a
height differential between the weeds and sesame with the weeds taller than the sesame.
The wipers need to be adjusted throughout the field and careless low wipers that touch the
sesame will either kill or severely damage the sesame.
Glyphosate applied postemergence over-the-top to sesame will result in plant death. In
commercial fields, aerial recognition mistakes have taken airplanes spraying cotton over
sesame fields and have killed sesame. Glyphosate drift from spraying adjacent fields have
led to kill or yellowing of the sesame and a lack of capsule formation for one to three weeks
depending of the amount of drift (Langham et al., 2010). When capsule formation does
somewhat recover, the capsules will be smaller and will have less seeds and seed weight.
In postemergence-directed studies, glyphosate applied up to the 15-cm stem height resulted
in 28% stunting; however, when applied to the 5-cm sesame stem height, stunting was no
greater than 15% (Grichar, unpublished data). Glyphosate plus diuron stunted sesame 10%
when applied up to 15 cm; however, no other herbicides stunted sesame more than 4%
when applied to sesame at either height. In 2007, sesame stunting was greater than 2006 and
more herbicides caused stunting. Stunting was more severe with glyphosate, glufosinateammonium, pyrithiobac, and trifloxysulfuron when applied 15 cm in sesame height
compared with applications made 5 cm in height. Only glufosinate-ammonium, pyraflufenethyl, diuron plus linuron (Layby Pro®), and linuron at 5 cm caused less than 10% sesame
stunting (Grichar, unpublished data). However, in subsequent years, all combinations using
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Herbicides, Theory and Applications
glyphosate severely damaged the sesame. Further analysis showed a correlation between
stage and condition of the sesame. The older sesame was less susceptible, but the clearest
correlation was the amount of stress. When there was severe drought stress, there was less
damage than when the plants were rapidly growing after recent irrigations or rains.
Glufosinate-ammonium is a nonselective postemergence herbicide like glyphosate that may
have potential for use in sesame in many of the same ways. It controls a wide range of weed
species and is especially effective on morningglory that can be difficult to control with
glyphosate (Askew et al., 1997; Corbett et al., 2004; Hydrick and Shaw, 1995). Glufosinateammonium inhibits the synthesis of glutamine from glutamine and ammonia by inhibiting
the activity of glutamine synthesis (Coetzer et al., 2002). This causes accumulation of
ammonium and inhibition of photosynthesis (Sauer et al., 1987; Wild & Manderscheid,
1984). Glufosinate-ammonium is degraded rapidly by soil microorganisms (Wauchope et al.,
1992). It controls several grasses and broadleaf weeds including Amaranthus spp. (Coetzer et
al., 2002). Use of glufosinate-ammonium was limited to burndown treatments on noncrop
areas and in no-till plantings; however, advances in genetic transformation of plants have
facilitated the development of glufosinate-ammonium resistant crops such as corn, cotton,
and soybean (Bradley et al., 2000; Coetzer et al., 2002; Wilson et al., 2007).
Postemergence-directed use of glufosinate-ammonium has produced similar results to
glyphosate with mixed results ranging from no damage to severe damage. Work with
glyphosate and glufosinate-ammonium as postemergence-directed sprays has been
abandoned because these herbicides can severely damage the sesame and do not provide
any late preemergence activity.
11. Trifluralin and Pendimethalin
The dinitroaniline herbicides, such as trifluralin and pendimethalin, are used to reduce
weed populations and aid in the establishment and production of many crops including
groundnut, soybean, and grain sorghum (Dotray et al., 2004; Grichar & Colburn, 1993;
Grichar et al., 2005a, b; Grichar, 2006). The dinitroaniline herbicides provide excellent
control of annual grasses (Buchanan et al., 1982; Chamblee et al., 1982; Wilcut et al., 1995)
and are the only soil-applied herbicides registered for use in peanut that will provide fullseason control of Texas millet (Wilcut et al., 1987a,b; Wilcut et al., 1995).
Uptake of dinitroaniline herbicides is primarily through roots and emerging shoots (Ashton
& Crafts, 1981; Appleby & Valverde, 1989). Parker (1966) showed that trifluralin was more
inhibitory to Sorghum bicolor when absorbed through roots than emerging shoots. It is
possible that the dinitroaniline herbicides will be concentrated in the extreme upper
portions of the soil profile and weed seed may be able to germinate below the zone where
dinitroaniline herbicides are located (Johnson et al., 2002). In this case, emerging shoots pass
through treated soil, whereas developing roots would be below the herbicide treated soil.
The dinitroaniline herbicides have very low water solubility and are subject to losses due to
photodecomposition and volatilization (Weber, 1990). Therefore, incorporation soon after
herbicide application is important for effective weed control.
The effectiveness of soil-applied herbicides is dependent upon several factors, including
movement of the herbicide into the soil either through water provided by rainfall or
irrigation, or by mechanical incorporation (Prostko et al., 2001; Ross & Lembi, 1999).
Chenault et al. (1992) reported that pendimethalin or trifluralin provided greater than 78%
control of barnyardgrass (Echinochloa crus-galli (L.) P. Beauv) depending on incorporation
Weed Control and the Use of Herbicides in Sesame Production
63
method. Tolerance to the dinitroaniline herbicides has been evaluated extensively in many
crops. These herbicides injure susceptible plants by binding to β-tublin molecules, which
ultimately leads to an inhibition of cell mitosis (Appleby & Valverde, 1989). Information on
absorption and translocation within plants is less clearly defined; however, direct entry into
plant tissue is considered limited, and unless the dinitroaniline herbicide enters
meristematic tissues, the herbicide will have little effect on plant growth (Miller et al., 2003).
Previous research by Grichar et al. (2001a; 2009) reported sesame injury following the use of
dinitroaniline herbicides applied preplant incorporated using various incorporation
methods. Grichar et al. (2001a) reported that ethalfluralin, pendimethalin, and trifluralin
reduced sesame stand numbers when compared with the untreated check. In that study the
dinitroaniline herbicides were incorporated 2.5 cm deep with a tractor-driven power tiller.
In another study, Grichar et al. (2009) reported that a spring-tooth harrow, with the lack of
the ability to adjust incorporation depth, caused similar problems. However, the rolling
cultivator mixing wheels, which were set to a depth of less than 2.5 cm, resulted in excellent
sesame stands. Therefore, only a shallow incorporation of the dinitroaniline herbicides must
be done when used in sesame to ensure a good stand. They concluded that it was best if the
dinitroaniline herbicides were applied preemergence. Of the dinitroaniline herbicides, only
pendimethalin formulated as Prowl H20® can be applied preemergence (Anonymous 2004b);
however, annual grass control following pendimethalin applied preemergence is often poor
(Byrd & York, 1987; Culpepper, 1996).
Commercial uses of trifluralin in sesame include: in Honduras, a grower guide
(Anonymous, 2002) states that use of trifluralin applied preemergence has proved to be very
efficient in the control of weeds in sesame while in Costa Rica, a grower guide (Anonymous,
2007d) recommends using a preemergence application of trifluralin at 2.0 L/ha.
Martin and Crawford (1963) and Martin (1964) reported that trifluralin at 1.1 to 1.8 kg/ha was
effective and non-toxic; however, trifluralin at 2.8 kg/ha killed sesame. In Venezuela, Montilla
(1964) tried trifluralin at 1, 2, 3 L/ha, and the sesame did not germinate. In Ethiopia, Moore
(1974) reported that trifluralin applied preplant incorporated at 0.75 and 1.4 kg/ha provided
the greatest yields in sesame. Hussien et al. (1983) reported that trifluralin at rates greater than
0.84 kg/ha was harmful to sesame. However, it controlled annual grasses and increased the
yield over the weedy check by 45%. Schrodter and Rawson (1984) reported that pendimethalin
at 1.5 and 3.0 kg/ha and trifluralin at 0.84 kg/ha reduced sesame plant populations. Plant
selectivity by herbicide placement is influenced greatly by the movement of the herbicide in
soils (Ennis, 1964). If the dinitroaniline herbicides move, they may come in contact with the
absorptive sites of sesame and cause sesame injury (Grichar et al., 2001a). In India, Shukla
(1984) found that pendimethalin was toxic to sesame. In Israel, Graph et al. (1985) reported
that preplant incorporation of trifluralin at 0.125 to 0.188 kg/ha was selective to sesame when
the crop was sown on relatively warm soil, but early sowing resulted in inhibited root growth,
retardation, and crop damage. In Korea, Kim et al. (1986) found that pendimethalin provided
effective weed control using 1.27 kg/ha, but caused crop damage and yield reductions. In
Egypt, Ibrahim et al. (1988) found that the best weed control and significantly greater seed
yields and seed and yield components resulted from treatment with pendimethalin alone or in
tank mixtures with linuron or diuron. In Somalia, Malik and Muhammed-Ramzak (1992)
reported that pendimethalin at 3.7 L/ha provided the greatest weed control and significantly
higher yield over the weedy check with no phytotoxic effects on sesame. Grichar et al. (2001a)
reported yield increases over the untreated check with pendimethalin and trifluralin. They
concluded that lack of yield differences among herbicide treatments which injured or reduced
64
Herbicides, Theory and Applications
sesame stands could be attributed to the ability of the sesame plant to compensate for reduced
stands. Sesame can produce excellent yields with only six to ten plants/m of row (author’s
personal observation). The rate of a dinitroaniline herbicide can affect sesame stand
establishment. The one-half rate of ethalfluralin, pendimethalin EC, and trifluralin or the 3/4X
dose of pendimethalin (Prowl H20® ) resulted in greater stand counts than the 1 to 2X rate of
these herbicides when incorporated with rolling cultivator mixing wheels (Grichar & Dotray,
2007).
12. Harvest aids
There are four reasons to use a harvest aid: (1) accelerate the drying to allow earlier harvest
in better weather conditions (less rainfall, higher temperatures, and longer daylength), (2)
create a uniform field where there are differences in moisture (lower areas with more
moisture generally mature later) or late germination (seed that is planted in dry soil can
germinate as much as 6 weeks later), (3) control weeds to dry down the entire field (green
weeds can delay harvest or increase moisture in the combine bin), and (4) stop regrowth
after a late rain (sesame can revert from the drying phase to the reproductive phase). Initial
results show that use of a dessicant before the sesame drying phase can reduce the yields by
as much as 10%. Initial results show that paraquat and diquat dry down the crop faster than
any other harvest aid, but they will not kill weeds or stop regrowth. Glyphosate and
glufosinate-ammonium take longer to dry down the crop, but do a more thorough job in a
uniform drying down.
13. Conclusions
Herbicides are available that can help control weeds during the production of sesame.
Control of weeds is the most important part of sesame production. There are millions of
non-mechanized and hundreds of thousands of mechanized hectares of sesame grown every
year with good economic return and minimum loss to weeds. However, improved weed
control systems will contribute to increased net returns of the crop. The strategy that is
being considered is to use a preemergence herbicide that has residual control and will
provide effective soil residual control for approximately 4 to 6 weeks followed by a
postemergence herbicide that will control small weeds and possibly provide residual control
of weeds that have not germinated.
In all of the testing, there are few herbicides that do not affect sesame under some
conditions; however, it is clear that in weedy conditions, sesame cannot produce economical
yields. Therefore, some damage must be acceptable and with this minimal damage to the
sesame, many herbicides have produced excellent economic yields. In the 1920s, Iowa
farmers used to say that they plant 3 kernels of corn, “One for the worm, one for the crow,
and one for me.” Perhaps, in this century sesame farmers will need to plant extra sesame
seed, “Some for the herbicide, and most for me.”
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4
Defining Interactions of Herbicides with
Other Agrochemicals Applied to Peanut
1David
L. Jordan, Professor
S. Chahal, Graduate Research Assistant
3Sarah H. Lancaster, Former Graduate Research Assistant
4Joshua B. Beam, Former Graduate Research Assistant
5Alan C. York, William Neal Reynolds Professor Emeritus
2Gurinderbir
1Department
of Crop Science, North Carolina State University,
Box 7620, Raleigh, NC 27695-7620.
2Department of Crop Science, North Carolina State University,
Box 7620, Raleigh, NC 27695-7620.
3Department of Crop Science, North Carolina State University,
Box 7620, Raleigh, NC 27695-7620.
Current position: Assistant Professor, Department of Plant
and Soil Sciences, Oklahoma State University, 368
Agricultural Hall, Stillwater, OK 74078-6028.
4Department of Crop Science, North Carolina State University
Box 7620, Raleigh, NC 27695-7620.
Current position: North Carolina Business Manager, Sunny
Ridge Farm Inc., 1900 5th Street Northwest,
Winter Haven, FL 33881-2106.
5Department of Crop Science, North Carolina State University
Box 7620, Raleigh, NC 27695-7620.
United States of America
1. Introduction
Management strategies to protect peanut (Arachis hypogaea L.) from pest damage require
multiple applications of fungicides, herbicides, and insecticides. Additionally,
micronutrients and plant growth regulators are often applied to improve nutrient balance
and to manage peanut growth and development. Over fifty active ingredients can be used to
manage pests in peanut, often with more than one formulated product commercially
available. Timing of application of pesticides, micronutrients, and plant growth regulators
often coincide during the growing season, and co-application of these agrochemicals is
desirable if pesticide, micronutrient, and plant growth regulator performance and peanut
tolerance are not compromised. In addition to potential interactions related to physiological
effects on plants and other organisms, application variables such as commercial formulation,
adjuvant, water quality, and environmental stress can affect agrochemical compatibility.
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Herbicides, Theory and Applications
Physical compatibility, in particular formation of precipitates in spray tanks and equipment,
is a concern for farmers when co-applying agrochemicals. Defining potential interactions
among these agrochemicals is important in developing appropriate weed management
programs and implementing integrated pest management strategies for peanut.
Considerable research has been conducted during the last four decades to define
interactions among agrochemicals (Barrett, 1993; Green, 1989; Green and Bailey, 1987;
Hatzios and Penner, 1985; Putnam and Penner, 1974). Most of these reviews are focused on
interactions of herbicides in mixture with other herbicides, fungicides, insecticides,
nematicides, and adjuvants, in general, but not for a particular crop. Some of these reviews
summarized the mechanisms responsible for the interactions of herbicides with other
agrochemicals and the statistical methodology for characterization of agrochemical
combinations (Barrett, 1993; Green, 1989; Hatzios and Penner, 1985; Jianhua et al., 1995).
Since these reviews were published, many of new agrochemicals have received registration
for different crops and for other uses. Defining interactions of these new agrochemicals is
important when developing pest management strategies for a cropping system. This chapter
reviews some of the interactions discussed in the earlier work, but also elucidates the
interactions and/or compatibility of herbicides with other agrochemicals used in peanut
production systems.
2. Peanut production systems
Mechanized production systems utilize a wide range of agrochemicals to manage peanut
growth and development and minimize the impact of pests on peanut yield and quality
(Lynch and Mack, 1995; Sherwood et al., 1995; Wilcut et al., 1995). Pests that can potentially
impact peanut are diverse (Table 1). Yield loss from weed interference or from damage
caused by insects, diseases, and nematodes can be substantial in peanut if pest control
strategies are not implemented in a timely manner.
Monocotyledonous weeds, including annual and perennial grasses and sedges, as well
dicotyledonous weeds, are prevalent in peanut production systems in the United States
(Webster, 2009; Wilcut et al., 1995). Comprehensive herbicide programs, in combination
with appropriate cultural practices, are employed to manage weeds and minimize
interference and subsequent yield loss (Wilcut et al., 1987a 1987b 1990 1995). Herbicides are
often applied in mixtures either prior to planting (preplant incorporated in conventional
tillage or preplant to emerged weeds in reduced tillage), immediately following planting
(preemergence), or after peanut and weeds have emerged (postemergence) (Burke et al.,
2004; Clewis et al., 2007; Richburg et al., 1995 1996; Wilcut et al., 1994a 1994b 1995).
Agrochemicals with efficacy against insects and plant parasitic nematodes are often applied
in the seed furrow at planting and include organophosphate and carbamate insecticides
(Brecke et al., 1996; Drake et al., 2009; Funderburk et al., 1998; Minton et al., 1990; Minton and
Morgan, 1974; Riley et al., 1997). In-furrow insecticides also reduce incidence of tomato
spotted wilt of peanut (caused by tomato spotted wilt virus, a Tospovirus vectored by several
species of thrips) (Brown et al., 2003; Hurt et al., 2003). Pyrethroid insecticides are often
applied to peanut foliage to control beet armyworm, corn earworm, fall armyworm, potato
leaf hopper, and two-spotted spider mites. Chlorpyrifos can be applied at pegging, 45 to 70
days after peanut emergence, to control lesser cornstalk borer (Mack et al., 1989 1991) and
southern corn rootworm (Brandenburg and Herbert, 1991; Chapin and Thomas, 1993).
Defining Interactions of Herbicides with Other Agrochemicals Applied to Peanut
75
Depending on environmental and edaphic conditions and a range of agronomic and pest
management practices, application of insecticides may be needed throughout the growing
season to protect peanut from pest damage.
Disease, caused by viruses, bacteria, or fungi, can reduce peanut yield considerably when not
controlled (Sherwood et al., 1995). Fungicides are applied routinely to peanut to control foliarborne diseases, including early leaf spot, late leaf spot, and web blotch (Brenneman et al., 1994;
Culbreath et al., 2008; Shew and Waliyar, 2005). Fungicides are also applied to control the soilborne disease stem rot and Sclerotinia blight (Brenneman et al., 1994; Culbreath et al., 2008;
Smith et al., 1992). Although variation is noted among geographical regions, years, and
environmental conditions, during a typical growing season fungicides are applied either
singly or in combination beginning approximately 45 days after peanut emergence and
continuing throughout the remainder of the growing season, which can approach 135 or more
days (Sherwood et al., 1995; Smith and Littrell, 1980). Fungicide programs to control early and
late leaf spot and stem rot often include bi-weekly sprays during this period. Fungicides
applied to control these diseases provide protection for a period of two weeks under most
environmental conditions (Shew and Waliyar, 2005). The soil fumigant metam sodium is often
applied to peanut to control Cylindrocladium black rot (Cline and Beute, 1986). A period of at
least two weeks between fumigation and peanut planting is required to allow the fumigant to
dissipate, making weed control prior to planting challenging under some environmental
conditions, especially excessive rainfall, that allow weeds to emerge between fumigation and
planting operations (Van Gundy and McKenry, 1977).
The micronutrients boron and manganese are applied routinely to optimize peanut growth
and development and, in the case of boron, to ensure proper kernel development (Gascho
and Davis, 1995; Harris and Brolman, 1966; Powell et al., 1996). Because peanut is often
grown on coarse-textured soils, boron can be deficient due to leaching. Single, and in some
cases, multiple applications of boron-containing foliar solutions are applied 45 to 70 days
after peanut emergence (Gascho and Davis, 1995). Manganese deficiency occurs frequently
in peanut because of liming to achieve a target soil pH above 6.0. Correcting a manganese
deficiency is achieved by foliar applications when visible symptoms become apparent,
although some growers apply manganese irrespective of plant symptomology (Powell et al.,
1996).
Excessive vine growth of peanut can reduce row visibility at digging and vine inversion
(Mitchem et al., 1996). Prohexadione calcium is currently the only plant growth regulator
applied to manage vine growth in order to facilitate efficient digging. Prohexadione calcium
inhibits gibberellin biosynthesis in responsive plants (Grossman et al., 1994) and is applied
when 50% of vines from adjacent peanut rows have met, and an application is repeated 2 to
3 weeks later (Mitchem et al., 1996). This timing of application is generally 70 to 90 days after
peanut emergence (Mitchem et al., 1996). In addition to prohexadione calcium, a wide range
of products are available at the distributor level that contain micronutrient combinations,
synthetic plant growth regulators, and other ingredients perceived to have value. Many of
these products are not applied routinely to peanut.
3. Agrochemicals used in peanut
A diversity of pesticide active ingredients is available for peanut (Table 2) (Brandenburg,
2010; Jordan, 2010; Shew, 2010). Currently, 19 herbicide active ingredients, 16 insecticide
76
Herbicides, Theory and Applications
active ingredients, and 20 fungicide active ingredients representing the major modes of
action can be applied during the peanut growing season. Three fumigants, two
micronutrients, and one plant growth regulator are registered for use in peanut. Within
herbicide, insecticide, fungicide, and fumigant categories, a range of formulated products
are available for most active ingredients. These products are often manufactured and sold
through distributor networks and are numerous. Additionally, spray adjuvants are
recommended with some, but not all, agrochemicals to increase performance and
compatibility.
Presence of biotic and abiotic stresses often occur simultaneously during the peanut
growing season, and timing of application for many agrochemicals overlap (Table 3).
Practitioners prefer limiting the number of trips across fields in order to increase efficiency
of managing peanut. This approach is preferable because of convenience, savings in time,
reduced application costs, and freeing labor for other operations. Additionally, applying
multiple pesticides with different modes of action is an important resistance management
strategy for pests (Brandenburg, 2010; Jordan, 2010; Shew, 2010). This approach is feasible as
long as adverse interactions, primary increased crop injury or decreased pest control, do not
occur. Defining interactions among agrochemicals is important in assisting growers and
their advisors as they make decisions on co-application of these products.
4. Herbicide – Herbicide interactions
A considerable amount of research has been conducted to define interactions among
herbicides used in peanut. Herbicides applied in combination either preplant incorporated
or preemergence generally increase the spectrum of weed control or the length of residual
weed control (Wilcut et al., 1987b 1995). For example, pendimethalin is often applied in
combination with alachlor, dimethenamid-P, metolachlor, or S-metolachlor to improve early
season weed control (Bridges et al., 1984; Wehtje et al., 1988; Wilcut et al., 1994b 1995; Wilcut
and Swann, 1990). Alachlor, dimethenamid-P, metolachlor, or S-metolachlor can be applied
with diclosulam, flumioxazin, or imazethapyr preemergence to enhance weed control with a
single application (Clewis et al., 2007; Grichar et al., 1992, 1996, 2000, 2008; Scott et al., 2001).
Combinations of preplant incorporated or preemergence herbicides currently registered for
use in peanut have not been shown to increase peanut injury over either herbicide
component applied alone (Wilcut et al., 1995). However, several herbicides that are no
longer registered for peanut increased peanut injury when co-applied as compared to the
herbicides applied alone (Wilcut et al., 1995).
In reduced tillage systems, herbicides are needed to control winter weeds and summer
annual weeds that have emerged prior to planting peanut. These herbicide applications
include glyphosate, paraquat, or 2,4-D alone or in combinations with other herbicides.
Combinations of glyphosate and 2,4-D broaden the spectrum of weed control compared
with each herbicide applied alone (Flint and Barrett, 1989a). However, in some instances,
2,4-D can negatively affect efficacy of glyphosate, but this interaction is typically noted only
on grass weeds (Flint and Barrett, 1989b). Efficacy of paraquat is generally not negatively
affected by 2,4-DB (Wehtje et al., 1992a). Glyphosate and paraquat can also be applied with
herbicides that provide residual weed control. This approach is designed to control emerged
weeds and provide residual weed control prior to and following planting (Wilcut et al., 1995).
Defining Interactions of Herbicides with Other Agrochemicals Applied to Peanut
77
Paraquat is often applied at peanut emergence or up to 28 days after peanut emergence
(Carley et al., 2009; Wilcut et al., 1990). Other non-residual herbicides such as bentazon or
acifluorfen plus bentazon as well as residual herbicides such as alachlor, diclosulam,
dimethenamid-P, imazethapyr, metolachlor, or S-metolachlor are applied postemergence to
broaden the spectrum of control (Askew et al., 1999; Bailey et al., 1999; Grey et al., 2002;
Grichar and Colburn, 1996). Injury associated with paraquat can be reduced by coapplication with bentazon (Jordan et al., 2003b; Wehtje et al., 1992b). However, the
chloroacetamide herbicides alachlor, dimethenamid-P, metolachor, or S-metolachlor applied
with paraquat can increase peanut injury (Jordan et al., 2003b). Diclosulam and imazethapyr
did not affect injury potential from paraquat (Jordan et al., 2003b). Weed control with these
herbicide combinations generally increases depending on the weed species and size of the
weed (Wilcut et al., 1995). For example, bentazon and imazethapyr co-applied can increase
control of emerged common cocklebur and yellow nutsedge, while control of annual grasses
by paraquat can be reduced when paraquat is co-applied with bentazon (Wehtje et al., 1992b;
Wilcut et al., 1994b). Residual control by chloroacetamide herbicides, diclosulam, and
imazethapyr was not affected by paraquat applied alone or with bentazon (Grichar et al.,
2000; Wilcut et al., 1995).
Co-application of postemergence herbicides with efficacy against dicotyledonous weeds and
sedges generally increases control of weeds or broadens the spectrum of control compared
with components of the mixture applied alone (Green, 1989; Hatzios and Penner, 1985;
Jianhua et al., 1995; Wilcut et al., 1995). In contrast, efficacy of clethodim and sethoxydim,
often referred to as graminicides, can be reduced when applied in mixture with herbicides
that control dicotyledonous weeds and sedges (Culpepper et al., 1998 1999; Grichar, 1991;
Jordan and York, 1989; Minton et al., 1989; Mueller et al., 1989; Myers and Coble, 1992;
Vidrine et al., 1995). The interaction of bentazon and sethoxydim is one of the most notable
examples of reduced graminicide efficacy caused by a herbicide that controls
dicotyledonous plants and sedges (Rhodes and Coble, 1984a 1984b; Wanamarta and Penner,
1989; Wanamarta et al., 1989). Annual and perennial grass control by sethoxydim is reduced
by bentazon through reduced absorption of sethoxydim into grasses (Rhodes and Coble,
1984b; Wanamarta and Penner, 1989; Wanamarta et al., 1989). The mechanism of reduced
control is associated with physical interactions of the herbicides in the spray solution prior
to reaching the target weed (Penner, 1989; Thelen et al., 1995). Acifluorfen and imazethapyr
also can reduce efficacy of clethodim and sethoxydim (Burke and Wilcut, 2003; Grichar,
1991; Lassiter and Coble, 1987; Myers and Coble, 1992). In contrast to reduced grass control
when these herbicides are co-applied, control of dicotyledonous plants and sedges is not
reduced by clethodim and sethoxydim (Dotray et al., 1993; Holshouser and Coble, 1990;
Isaacs et al., 2003). Efficacy of clethodim can also be reduced by acifluorfen, acifluorfen plus
bentazon, bentazon, imazethapyr, imazapic, lactofen, and 2,4-DB (Grichar et al., 2002; Myers
and Coble, 1992; York et al., 1993). The magnitude of reduced efficacy can be minimized or
eliminated by applying the herbicides sequentially, increasing the graminicide rate, or
applying more efficacious adjuvants (Burke et al., 2004; Jordan, 1995; Myers and Coble, 1992;
Wanamarta and Penner, 1989; Wanamarta et al., 1989). Grass species, plant size, and plant
stress also can affect the magnitude of negative interactions (Green, 1989; Hatterman-Valenti
et al., 2006). York and Wilcut (1995) reported that bentazon reduced control of yellow and
purple nutsedge by imazethapyr.
78
Herbicides, Theory and Applications
Chloroacetamide herbicides can be applied postemergence without injuring peanut (Grichar
et al., 1996, 2008; Jordan et al., 2003b). While these herbicides provide residual control of
grasses and some dicotyledonous and sedge weeds, they do not control weeds that have
emerged (Foy and Witt, 1997; Grichar et al., 2000; Richburg et al., 1995). These herbicides can
be applied with herbicides that have efficacy against emerged weeds. Dimethenamid-P and
S-metolachlor did not reduce grass control by the graminicides clethodim or sethoxydim or
the dicotyledonous and sedge herbicides acifluorfen, acifluorfen plus bentazon, or imazapic
(Grichar et al., 2000; Wilcut et al., 1995). However, visible injury caused by acifluorfen
increased when acifluorfen was applied with chloroacetamide herbicides (Jordan et al.,
2003b). Johnson et al. (1993) reported that injury from postemergence application of
paraquat was not increased when following several chloroacetamide herbicides applied at
planting, in contrast with injury observed when the herbicides were co-applied.
5. Herbicide – Insecticide interactions
Timing of application of herbicides and insecticides overlap during much of the growth
cycle of peanut (Table 3). As with other crops, potential interactions between herbicides and
insecticides applied in the seed furrow to control thrips and suppress plant parasitic
nematodes can occur (Hauser et al., 1976 1981). Acephate and aldicarb applied in the seed
furrow at planting did not affect injury potential of peanut following postemergence
application of acifluorfen plus bentazon or bentazon; however, the insecticide phorate
applied in the seed furrow enhanced visible injury associated with bentazon, although this
injury was generally transient (Swann and Herbert, 1999). Although interactions of
nicosulfuron (Bailey and Kapusta, 1994; Morton et al., 1994; Rahman and James, 1993) and
pyrithiobac-sodium (Allen and Snipes, 1995) increased injury in corn (Zea mays L.) and
cotton (Gossypium hirsutum L.), respectively. However, chlorpyrifos applied at planting did
not affect peanut response to diclosulam, S-metolachlor, or flumioxazin applied
preemergence or acifluorfen, acifluorfen plus bentazon, imazapic, or paraquat plus bentazon
applied postemergence (Jordan et al., 2008). Efficacy of graminicides can be affected by
insecticides applied to peanut. Carbaryl and dimethoate applied postemergence in
combination with sethoxydim reduced annual grass control; no adverse effect was noted
when acephate was mixed with sethoxydim (Byrd and York, 1988). Pyrethroid insecticides
did not affect efficacy of postemergence herbicides (Allen and Snipes, 1995).
6. Herbicide – Fungicide interactions
Similar to herbicides and insecticides, timing of application of postemergence herbicides and
fungicides to control foliar and soil-borne diseases overlap considerably during the peanut
growing season (Table 3). Fungicides are applied beginning approximately 45 days after
peanut emergence and can be applied until a few weeks prior to digging and vine inversion.
Efficacy of clethodim and sethoxydim can be reduced by co-application with coppercontaining fungicides or azoxystrobin, chlorothalonil, and pyraclostrobin (Jordan et al.,
2003a; Lancaster et al., 2005a 2008). Fluazinam and tebuconazole did not reduce grass control
compared with graminicides applied alone (Jordan et al., 2003a; Lancaster et al., 2005a
2005b). Efficacy of herbicides that control dicotyledonous and sedge weeds is not generally
Defining Interactions of Herbicides with Other Agrochemicals Applied to Peanut
79
affected by fungicides (Jordan et al., 2003a). As was noted for interactions of herbicides,
weed species and size and plant stress can affect the magnitude of interactions between
herbicides and fungicides (Jordan et al., 2003a).
Although not used in peanut, efficacy of glyphosate was not affected by azoxystrobin,
pyraclostrobin, or tebuconazole (Grichar and Prostko, 2009). Weed control by metribuzin,
rimsulfuron, and thifensulfuron-methyl applied to tomato (Lycopersicon esculentum Mill.)
was not affected by azoxystrobin or pyraclostrobin (Robinson and Nurse, 2008). However,
pyraclostrobin increased tomato injury from thifensulfuron-methyl when co-applied
(Robinson and Nurse, 2008). Chlorothalonil increased persistence of metolachlor in soil
although cyproconazole, flutriafol, and tebuconazole did not affect dissipation of
metolachlor (White et al., 2009).
7. Herbicide – Micronutrient interactions
Boron and manganese are the primary micronutrients applied to peanut. Occasionally, these
can affect herbicide performance. For example, efficacy of clethodim and imazethapyr was
reduced by micronutrients for some, but not all, weeds evaluated (Jordan et al., 2006;
Lancaster et al., 2005b).
8. Herbicide – Plant growth regulator interactions
Prohexadione calcium is the primary plant growth regulator available for use in peanut.
Efficacy of the herbicides acifluorfen, acifluorfen plus bentazon, bentazon, imazethapyr,
imazapic, lactofen, and 2,4-DB was not affected by prohexadione calcium (Beam et al., 2002).
However, other plant growth regulator products developed by agrochemical distributor
chains are numerous and have not been evaluated sufficiently to make recommendations on
compatibility with herbicides.
9. Co-application of multiple components
The previous discussion focused on co-applications that have only two components.
However, there is considerable interest in compatibility of three or more pesticides,
micronutrients, adjuvants, or plant growth regulators and their impact on pest control and
crop management. With respect to weed control, efficacy of clethodim, sethoxydim, and
2,4-DB were compared when these herbicides were applied alone or with fungicides and
insecticides (Jordan et al., 2003a; Lancaster et al., 2005a 2005b). Although results often
supported previous findings with components from two groups of pesticides, no clear
relationships were established with respect to combinations of three or more pesticides
(Lancaster et al., 2005a 2005b). More recently, research is being conducted to compare
herbicide efficacy with mixtures containing various levels of fungicide, insecticide,
micronutrient, or adjuvant (Chahal et al., 2009a 2009b).
10. Herbicide effects on other agrochemicals
The focus of this review has been the impact of agrochemicals used in peanut on herbicide
efficacy. However, defining the impact of herbicides on insect and disease control and
80
Herbicides, Theory and Applications
response of peanut to micronutrient and plant growth regulator applications is important.
Preliminary research has shown that the herbicides clethodim and 2,4-DB do not affect
performance of chlorothalonil, pyraclostrobin, or the prepackage combination of
prothioconazole plus tebuconazole (Chahal et al., 2009a 2009b). Paraquat and 2,4-DB did not
affect chlorothalonil efficacy (Choate et al., 1998). Katan and Eshel (1973) discussed possible
mechanisms of interactions among herbicides and pathogens. With respect to peanut,
Baysinger et al. (1999) reported that sporulation of early leaf spot was reduced by acifluorfen
and lactofen. In-vitro, chlorothalonil efficacy against early blight (Alerternaria solani) was
reduced by metribuzin while susceptibility of Pseudo cercospera herpotrichoides to
cyproconazole increased following exposure to dicamba, bromoxynil, or ioxynil (Kataria
and Gisi, 1990; Levesque and Rahe, 1992).
The influence of the postemergence herbicides clethodim, imazapic, lactofen, and 2,4-DB on
boron and manganese absorption into peanut leaves was evaluated, and results suggested
that while herbicides could affect accumulation of boron and manganese in leaf tissue, the
adjuvant associated with these herbicides may have been the primary factor in influencing
absorption (Jordan et al., 2006 2009a).
11. Application variables that can affect interactions
A wide range of application variables can affect interactions of herbicides with other
agrochemicals. Adjuvant selection, herbicide rate, commercial formulation, active
ingredient, length of time between applications of components, spray volume, water quality,
weed species, and environmental conditions can affect interactions of agrochemicals. For
example, the negative effect of bentazon was reduced by including ammonium sulfate and
other more efficacious adjuvants with clethodim and sethoxydim (Jordan, 1995: Jordan and
York, 1989; Penner, 1989; Wanamarta and Penner, 1989; York et al., 1990). Applying a higher
rate of the herbicide that may be adversely affected can compensate for interactions
(Chernicky and Slife, 1986; Rhodes and Coble, 1984a 1984b). Differential response to
clethodim was noted when applied with different formulations of chlorothalonil (Jordan et
al., 2003a). Increasing the interval between applications of components of the mixture can
overcome negative interactions, especially herbicide-herbicide interactions (Green, 1989;
Grichar and Boswell, 1987; Putnam and Ries, 1967). Applying graminicides in higher spray
volumes can exacerbate the negative influence of herbicides and fungicides on weed control
by graminicides (Buhler and Burnside, 1984; Jordan et al., 2003a; Kells and Wanamarta,
1987). Water quality, in particular presence of cations that can form complexes in the spray
solution, can influence the propensity of herbicides to perform poorly in pesticide
combinations (Buhler and Burnside, 1983a 1983b; Hatzios and Penner, 1985; Sandberg et al.,
1978; Stahlman and Phillips, 1979; Thelen et al., 1995; Whisenant and Bovey, 1993; Wills and
McWhorter, 1985).
Environmental conditions that affect plant response to agrochemicals can influence the
magnitude of interactions. Negative effects of interactions associated with efficacy of
systemic herbicides, especially graminicides, are exacerbated when grasses are stressed
and physiological processes that reduce absorption and translocation occur (Burke et al.,
2004; Burke and Wilcut, 2003; Green, 1989; Wanamarta and Penner, 1989; Wanamarta et al.,
1989).
Defining Interactions of Herbicides with Other Agrochemicals Applied to Peanut
81
12. Challenges of defining interactions and making recommendations
Major challenges in recommending practices associated with interactions of herbicides with
other agrochemicals include the diversity of products available, the diversity of weeds
present in the field that can vary in response to herbicides, differences in water quality
within and across production regions, and adjuvant recommendations associated with
herbicides versus other agrochemicals. Compounding these complex variables is the
unpredictable response often observed due to environmental conditions. Additionally, new
active ingredients are being marketed that have not been evaluated for possible interactions,
and as patents expire, some of these active ingredients are formulated differently from the
product receiving the initial registration. The extensive number of possible combinations,
especially when multiple components are considered, is challenging from a research
standpoint when considering the logistics of research trials needed to address possible
interactions. Although attempts are made to establish research trials in a manner similar to
practitioner operations, techniques associated with maintaining spray solutions and
applying materials with small-plot equipment differ from commercial applications and adds
to the challenges in research.
One reasonable criticism of the current approach to defining interactions, which is dictated
by the number of combinations and the logistics of experimentation, is the lack of defining
the impact of interactions on the larger context of the production system. For example, when
a reduction in weed control by a fungicide occurs, how detrimental to peanut yield and
economic value is this reduction when considering alternatives to prevent the interaction
from occurring? Also, dose response curves are often used to define interactions of
pesticides, and while these can be more informative than selection of a single rate of the
components in the mixture, the number of treatment combinations required for this
approach is often not feasible because of resource constraints.
13. Future research
A considerable knowledge base has been developed to define interactions of herbicides with
other agrochemicals with respect to weed control in peanut. However, the effect of
herbicides on performance of fungicides and insecticides is limited but no less important
than defining impacts on herbicide efficacy. As new active ingredients and new
formulations of active ingredients become available, additional research will be needed to
define interactions among these agrochemicals. Although interactions of herbicide-herbicide
combinations have been defined broadly and in some cases in detail, research elucidating
the mechanism of reduced control associated with co-application of fungicides, insecticides,
or plant growth regulator and micronutrients is limited (Duke et al., 2007).
Finally, determining the impact of interactions in the overall production system would be
beneficial.
82
Pest
Herbicides, Theory and Applications
Latin bionomical and authority
Weedsa
Bermudagrass
Cynodon dactylon (L.) Pers.
Bristly starbur
Acanthospermum hispidum DC.
Broadleaf signalgrass
Urochloa platyphylla (Nash) R.D. Webster
Common cocklebur
Xanthium strumarium L.
Common lambsquarters
Chenopodium album L.
Common ragweed
Ambrosia artemisiifolia L.
Crabgrass spp.
Digitaria spp.
Crowfootgrass
Dactyloctenium aegyptium (L.) Willd.
Eclipta
Eclipta prostrata L.
Florida beggarweed
Desmodium tortuosum (Sw.) DC.
Florida pusley
Richardia scabra L.
Goosegrass
Eleusine indica (L.) Gaertn.
Hairy indigo
Indigofera hirsuta Harvey
Jimsonweed
Datura stramonium L.
Johnsongrass
Sorghum halepense (L.) Pers.
Morningglory spp.
Ipomoea spp.
Nutsedge spp.
Cyperus spp.
Palmer amaranth
Amaranthus palmeri S. Wats.
Pigweed spp.
Amaranthus spp.
Prickly sida
Sida spinosa L.
Sicklepod
Senna obtusifolia (L.) H.S. Irwin & Barneby
Spurge spp.
Chamaesyce spp.
Texas millet
Urochloa texana (Buckl.) R. Webster
Tropic croton
Croton glandulosus var. septentrionalis Muell.-Arg.
Insectsb
Beet armyworm
Spodoptera exigua Hübner
Corn earworm
Heliothis zea Boddie
Lesser cornstalk borer
Elasmopalpus lignosellus Zeller
Defining Interactions of Herbicides with Other Agrochemicals Applied to Peanut
Pest
Latin bionomical and authority
Southern corn rootworm
Diabrotica undecimpunctata Howardi
Thrips
Frankliniella spp.
83
Diseasesc
Aspergillus crown rot
Aspergillus niger
Botrytis
Botrytis cinerea Pers.
Cylindrocladium black rot
Cylindrocladium parasiticum Crous, Wingfield, and
Alfenas
Early leaf spot
Cercospora arachidicola Hori
Late leaf spot
Cercosporidium personatum Berk. & Curtis
Pythium
Pythium spp.
Rhizoctonia limb rot
Rhizoctonia solani Kuhn
Sclerotinia blight
Sclerotinia minor Jagger
Spotted wilt
Tomato spotted wilt, caused by a Tospovirus
Stem rot
Sclerotium rolfsii Sacc.
Web blotch
Phoma arachidicola Marasas, Pauer, and Boerema
Plant parasitic nematodesc
Lesion nematode
Pratylenchus brachyurus
Northern root knot
Meloidogyne hapla
Peanut root knot
Meloidogyne arenaria
Ring
Criconemella ornata
Sting
Belonolaimus longicaudatus
Two-spotted spider miteb
Tetranychus urticae Koch
Webster, T. M. 2009. Weed survey – southern states. Proc. South. Weed Sci. Soc. 62:509-524.
Brandenburg, R. L. 2010. Peanut insect management. Pages 85-102 in 2010 Peanut Information. North
Carolina Cooperative Extension Service Publication AG-331.
cShew, B. B. 2010. Peanut disease management. Pages 103-130 in 2010 Peanut Information. North
Carolina Cooperative Extension Service Publication AG-331.
a
b
Table 1. Common and scientific names for major pests found in peanut in the United States.
84
Herbicides, Theory and Applications
Herbicides
Insecticides
Fungicides
Fumigants
Plant growth
regulators
Acifluorfen
Acephate
Azoxystrobin
Dichloropropene
plus chloropicrin
Prohexadione
calcium
Alachlor
Aldicarb
Basic copper
sulfate
Metam sodium
Bentazon
Bacillus
thuringiensis
Boscalid
1,3 dichloropropene
Carfentrazone
Carbaryl
Chlorothalonil
Clethodim
Chlorpyrifos
Dodine
Diclosulam
Disulfoton
Fludioxomil
Dimethenamid
Esfenvalerate
-P
Fluoxastrobin
Ethafluralin
Fenpropathrin Flutolanil
Flumioxazin
Gammacyhalothrin
Mancozeb
Glyphosate
Indoxacarb
Mancozeb and
copper hydroxide
Imazapic
Lambdacyhalothrin
Mefenoxam
Imazethapyr
Malathion
Metconazole
Lactofen
Methomyl
Pentachloronitrob
enzene (PCNB)
Metolachlor
Phorate
Propiconazole
Paraquat
Propargite
Prothioconazole
Pendimethalin Spinosad
Pyraclostrobin
Sethoxydim
Sulfur
S-metolachlor
Tebuconazole
Sulfentrazone
Thiophanate
methyl
2,4-DB
Trifloxystrobin
Brandenburg, R. L. 2010. Peanut insect management. Pages 85-102 in 2010 Peanut Information. North
Carolina Cooperative Extension Service Publication AG-331.
bJordan, D. L. 2010. Weed management in peanuts. Pages 55-83 in 2010 Peanut Information. North
Carolina Cooperative Extension Service Publication AG-331.
cShew, B. B. 2010. Peanut disease management. Pages 103-130 in 2010 Peanut Information., Peanut
Information 2010. North Carolina Cooperative Extension Service AG-331.
a
Table 2. Pesticide active ingredients registered for use in peanut in the United States during
2010.a,b,c
85
Defining Interactions of Herbicides with Other Agrochemicals Applied to Peanut
April
May
June
July
August
September
Weeds
Dicotyledonous
Monocotyledonous
Insects
Beet armyworm
Corn earworm
Lesser cornstalk borer
Southern
corn
rootworm
Tobacco thrips
Diseases
Aspergillus crown rot
Botrytis
Cylindrocladium black
rot
Cercospora spp.
Pythium
Rhizoctonia limb rot
Sclerotinia blight
Spotted wilt
Stem rot
Web blotch
Plant
nematodes
Two-spotted
mite
parasitic
spider
Nutrient deficiency
Boron
Manganese
Peanut
vine
management
Prohexadione calcium
Table 3. Biotic and abiotic stresses and approximate timing of management that can occur in
peanut during the growing season in the United States.
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5
Computational Biology, Protein Engineering,
and Biosensor Technology: a Close
Cooperation for Herbicides Monitoring
Giuseppina Rea1, Fabio Polticelli2, Amina Antonacci1,
Maya Lambreva1, Sandro Pastorelli1, Viviana Scognamiglio1,
Veranika Zobnina2 and Maria Teresa Giardi1
1Institute
of Crystallography, National Research Council, Monterotondo Scalo, Rome,
2Department of Biology, University Roma Tre, Rome,
1,2Italy
1. Introduction
Application of herbicides has led to a marked increase in the productivity and preservation
of agricultural products, as a result of which, cultural techniques for weed control, such as
altering soil pH, salinity, fertility levels or mechanical approaches, have been abandoned.
These compounds are also used extensively in industrial sites, roadsides, ditch banks,
irrigation canals, fence lines, recreational areas, lawns, railroad embankments, and power
line rights-of-way, to remove undesirable plants that might cause damage, present fire
hazards, or impede work crews. They also reduce costs of mowing procedures. However,
due to the toxic effect, their control is carried out by a system of national registration which
limits the manufacture and/or sale of pesticide products to those who have been approved
(Montesinos 2003).
In this context, herbicides were classified into families based on their chemical similarity or,
as proposed by the global Herbicide Resistance Action Committee (HRAC) group,
according to their target sites and modes of action (Table 1). Standards and regulations for
the classifications, labelling, and packaging of pesticides were first set up by the
EUROPEAN ECONOMIC COMMUNITY (EEC) Council Directive 67/548/ in 1967.
At present the issue regarding herbicides is quite intricate, because according to the Food
and Agriculture Organization (FAO), their exclusion would lead to a strong reduction in
farming production; however, several toxic effects on biological systems associated with
their use were proved by epidemiological and experimental studies (Waller et al., 2010;
Roberts et al., 2010; Frazier 2007). After the first cases of animals poisoned by heavy
utilization of herbicides, the monitoring of these compounds to avoid accumulation in the
human body were strongly intensified. In particular in 1963, the World Health Organization
(WHO) and FAO created the Codex Alimentarius Commission, which joined 173 signatories
from the European Community (EC) countries in order to control the tolerable limits of
pollutants in food. Twenty years later, the EC established a legal framework for the
regulation of pesticides in all member countries. The Commission is responsible for the
registration of pesticides actively used in all European countries. This authority is granted
94
Herbicides, Theory and Applications
Mode of action
Amino acid
synthesis
inhibitors
Herbicide classes
Amino acid
derivatives
Imidazolinones
Sulfonylureas
Sulfonamides
Thiopyrimidines
Glycines
Cell
membrane
Diphenylethers
Bipyridiliums
Benzoics
Phenoxys
Pyridines
Triazines
Ureas
Nitriles
Cyclo
Arylphenoxy
hexanediones
propanoates
disrupters
Growth
regulators
Respiration
Organic
inhibitors
Arsenicals
Photosynthesi
s inhibitors
Lipid
biosynthesis
inhibitors
Root growth
inhibitors
Miscellaneous
Phenolic
compounds
Diazines
Dinitroanilines
Shoot growth
Substituted
inhibitors
amides
Carbamothioates
Pigment
synthesis
Isoxazoles
Isoxazolidinone
Pyridazinones
inhibitors
Table 1. Herbicide classification by mode of action.
by the Council of the European Community under Council Directive 91/414/EEC, adopted
in 1991 and effective as of 1993.
Despite European policies to reduce the use of herbicides, EU statistics data for the period
1992–2003 showed that the annual consumption had not decreased (Eurostat Statistical
Book, 2007). Hence, due to the occurrence of several toxic effects induced by herbicides,
severe restrictions were adopted to safeguard particularly children, whose immature liver
enzymes system is unable to detoxify these compounds. Concrete examples are the EU Baby
Food Directives 2003/13/EC and 2003/14/EC, that fixed the maximum acceptable daily
intake of pesticide residues in foods for infants and young children to a level lower than
10 μg/kg.
Later in 2004, the production and use of persistent organic pollutants was forbidden by the
United Nations Environmental Protection Programme (UNEP). Subsequently, the EC
Regulation No. 396/2005 of the European Parliament and of the Council on Maximum
Residue Levels (MRLs) of pesticides in products of plant and animal origin defined a new
fully harmonized set of rules for pesticide residues, which became effective in 2008.
Recently, the new maximum residue levels of pesticides in food and feed of plant and
animal origin was defined in the Regulation 2008/149/CE. In particular, for those herbicides
most commonly found in surface and ground waters, allowed concentrations are 0.1 μg/L
and 0.5 μg/L, for a single pollutant and total pollutants, respectively.
Computational Biology, Protein Engineering, and Biosensor Technology:
a Close Cooperation for Herbicides Monitoring
95
Nowadays the Directive 2009/128/EC of the European Parliament and of the Council is
adopted to achieve the sustainable use of pesticides. Member States should monitor the use
of plant protection products containing active substances of particular concern and establish
timetables and targets for their use, in particular when it is an appropriate means to achieve
risk reduction targets.
The United States (US) organization and legislation concerning herbicides sale and
distribution are quite different from the above mentioned EC directives. The Environmental
Protection Agency (EPA) is the agency primarily responsible for safety review and legal
registration, regulating pesticides in the US.
In 1996, US Congress unanimously passed a landmark pesticide food safety law, called the
Food Quality Protection Act (FQPA), which takes the protection of children into special
consideration, and asked the EPA to conduct an Endocrine Disruptor Screening Program
(EDSP) to monitor the effect of pesticides on the endocrine systems of living organisms.
Globally, different policies were undertaken regarding pesticides use. For example in 2003,
while the use of atrazine was banned by the EC, EPA studies affirmed that all triazine
herbicides were without any harmful effect on the US population, infants or children (Sass
& Colangelo 2006). In 2006, the EPA also initiated a new program called “registration
review” to re-evaluate all pesticides. The program’s aim was to review the active ingredient
of each pesticide every 15 years to ensure that all pesticide products in the marketplace
could still be used safely. This process, called re-registration, considers the human health
and ecological effects of pesticides and results in actions to reduce risks. The Agency
completed more than 99% of tolerance reassessments by the end of 2006. The EPA issued the
first test orders for pesticides concerning their potential effects on the endocrine system on
October 29, 2009.
2. Relevance of herbicide detection for environmental and health claims
Herbicides are potent contaminants of ground and surface water as they are transported far
away from the point of application via runoff and, as a result, contaminate otherwise
pristine habitats, even in remote areas where they are not used (Readman et al., 1993; Relyea
2005; Haynes et al., 2000). In addition to their persistence, mobility, and widespread
contamination of water, some herbicides brought about considerable ecological damage
such as the disruption of predator-prey relationships, posing a threat to the survival of
major ecosystems and a loss of biodiversity (Schneider 2009).
Another important aspect is herbicide resistance, an inherited ability of a plant to survive
and reproduce following exposure to a dose of herbicide that would normally be lethal to
the wild type. Herbicide resistance may occur naturally in plants as a result of random and
rare mutations, or may be induced by genetic engineering (Shewry et al., 2008). Herbicide
exploitation kills susceptible plants, allowing the herbicide-resistant plants to survive and
reproduce without competition. The continuous use of herbicides allows the reproduction of
resistant plants which then become dominant in the environment (Al-Ahmad et al., 2005;
Murphy & Lemerle, 2006). In addition, increasing problems with herbicide- resistant weed
populations have increasingly occurred in countries with intensive agriculture cropping
systems (Green & Owen, 2010; Vila-Aiub et al., 2008). Changes in farming methods such as
crop rotation, manipulation of planting time, hand weeding and application of herbicides
with different target sites, are effective practices preventing resistance development.
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Herbicides, Theory and Applications
Regrettably, herbicides also negatively affect human health. According to the World Health
Organization between 1 and 25 million people suffer of herbicide poisoning each year. It is
estimated that as many as 20,000 people in the US will develop cancer every year due to
herbicides residues in their food, but the number is much higher when we include the
enormous number of people suffering from herbicide poisoning symptoms unknowingly.
In this context, from a public health viewpoint, the prevention of diseases represents a
priority and several investigations have been performed to reveal the presence of herbicides
in water and food products (Lorenzin 2007; Sondhia 2010; Fussell et al., 2002; Cesnik et al.,
2006).
In the literature many significant effects associated with exposure to herbicides have been
documented; in particular, herbicides can cause short-term adverse health effects, called
acute effects, as well as chronic adverse effects that can occur months or years after
exposure. In addition, these effects are not necessarily exclusively caused by exposure to
herbicides or other organic contaminants, but may be associated with a combination of
environmental compounds which can have a synergistic effect with organic pollutants
(Witte et al., 1995).
Several studies conducted on farmer populations, or on people particularly exposed to
herbicides found high rates of eyes stinging, rashes, blisters, blindness, nausea, dizziness,
asthma, diarrhoea and even death, as examples of acute health effects (Senthilselvan et al.,
1992). On the other hand, examples of chronic effects include cancer, birth defects,
reproductive damage, neurological and developmental toxicity, immunotoxicity, and
disruption of the endocrine system (Kristensen et al., 1997; Fukuyama et al., 2009;
Schreinemachers 2010; Turner et al., 2010; Ochoa-Acuña et al., 2009; Tanner et al., 2009).
Regarding neurological effects, herbicides can be potent neurotoxins. When people are
exposed to neurotoxins they may feel dizzy, lightheaded, confused and may have reduced
coordination and ability to think, as short-term effects. Long term exposure can result in
reduced intelligent quotient, learning disability and permanent brain damage in people,
especially children, who live in areas with high levels of herbicide contamination in water
and food. Recent studies in several countries with a high use of herbicides indicate that
there is an increasing incidence of carcinogenic effects, especially for children (Zahm &
Ward, 1998). National and international trends indicate that cancer rates have increased,
including lymphocytic leukemia, childhood brain cancer, neuroblastoma, non-Hodgkin's
lymphoma, testicular cancer, ovarian cancer and all cancers combined (Ries et al., 1998;
Gurney et al., 1996; DeVesa et al., 1995).
Several herbicides are hormone disrupting chemicals, interfering with hormone
biosynthesis, metabolism and resulting in a deviation from normal homeostatic control or
reproduction. These compounds can cause physical birth defects, hormonal effects on the
developing foetus or affect a child's functional capacities (Weselak et al., 2008). In addition,
hormone disruptors are linked to many health problems including reproductive cancers
(Fan et al., 2007). Twenty-four pesticides still on the market, including the herbicide
atrazine, are known to be endocrine-disrupters, which are able to increase rates of
endometriosis, hypospadias, undescended testicles and consequently testicular cancer,
precocious puberty in girls, reduced sperm counts and fertility problems.
Given the latest statistics on the pathological effects caused by herbicides and the analytical
problems of inadequate detection levels, as well as the insufficient quality control in many
laboratories, the monitoring data are frequently a poor indication of the level of pollution in
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the environment (Guzzella et al., 2006). Key herbicides are included in the monitoring
schedule of most countries, however the cost of analysis and the necessity to sample at
critical times of the year (linked to periods of pesticide use) often preclude development of
an extensive data set. In addition, several limits exist concerning the analyses related to the
inadequate facilities, impure reagents, and financial constraints (Brena et al., 2005).
3. Description of analytical methods and biosensors for herbicide detection
This “unhealthy” scenario requires the challenging development of sensitive analytical
control systems to reveal the presence of herbicides and protect humans and ecosystems.
Properly assembled biosensors can satisfy these requirements, also providing reliability and
flexibility of the assays (Giardi & Pace, 2005).
A major difficulty in estimating environmental quality related to herbicides contamination is
due to seasonal change of field application and the extremely low levels of the maximum
admissible concentrations set by the EC. Nowadays, the data on herbicides pollution are still
quite scarce since monitoring data are based on a few investigations carried out with
methods able to detect relatively high concentrations of herbicides. Currently, in parallel to
traditional analytical methods, novel detection systems have been already developed based
on biosensor technology which provides rapid, inexpensive and reliable tools for herbicide
monitoring and screening analyses, to answer the concern on this issue.
In this context, chromatographic techniques, such as gas chromatography (GC) and highperformance liquid chromatography (HPLC) with UV and/or mass spectrometry (MS)
detection, surely represent the most trustworthy and common techniques used to monitor
the presence of herbicides. The classical analytical techniques are unlikely to provide
adequate sensitivity, while advanced instrumental methods are highly sensitive, but
generally expensive, require skilled operators and are not easily amenable to on-site field
testing. In addition, it must be emphasized that herbicides can greatly differ in chemical
structure and chromatographic behaviour, so it is still impossible to apply a unique method
to discriminate all of the different compounds that could be present in a real-world sample.
Herbicides usually represent a very small fraction of the whole sample under investigation,
so pre-treatments such as clean up and/or pre-concentration steps are required to make
their identification possible. As a consequence, the qualitative and quantitative analysis of
herbicide residues is time consuming and involves high costs.
Because of the large numbers of samples to be measured, the necessity of expensive
equipment, organic solvents and laborious sample preparation, the development of a fast,
automated and inexpensive test is of great interest. These concerns encouraged researchers
to seek out alternative methods providing the desired analytical information.
The utility and high specificity of immunochemical technology for the detection of organic
molecules has been well established in various research applications. In a study by Gascon
and co-workers (1997), an ELISA analysis was developed for the detection of atrazine with a
very low limit of detection, taking into account the European regulations for water and food.
Chouhan and co-workers (2010) also reported a sensitive chemiluminescence (CL)-based
immunoassay technique based on dipstick and flow injection analytical formats for the
detection of atrazine.
In recent years, the development of new advanced methodologies for rapid, inexpensive
and in field environmental monitoring based on biosensing devices represents a promising
research challenge. Biosensors, following IUPAC definition (Thevenot et al., 1999), are
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devices able to provide quantitative analytical information exploiting a biological
recognition element linked to a transduction system. They consist of three parts, as depicted
in Figure 1. The first element is the biomediator (a biomimic or biologically derived material
e.g. tissue, microorganisms, organelles, cell receptors, enzymes, antibodies, nucleic acids,
and biological sensitive elements created with genetic engineering), the second element is
the transducer or the detector (physicochemical, optical, piezoelectric, electrochemical, etc.)
that transforms the signal resulting from the analyte’s interaction with the biological
element into another signal that can be measured and quantified; the third element is the
associated electronics or signal processor, responsible for the output of the results in a userfriendly way (Cavalcanti et al., 2007). Biosensors require immobilization of biological
elements on the surface of the sensor (metal, polymer, glass, etc.) using physical or chemical
techniques. According to a recent report on the biosensor market, titled “Biosensors in
Medical Diagnostics: A Global Strategic Business Report” published by Global Industry
Analysts Inc., the global market for biosensors and other bioelectronics has grown from $6.1
billion in 2004 to $8.2 billion in 2009, at an AAGR (average annual growth rate) of about
6.3%, and it is projected to increase still further in 2011 (RB-159R Biosensors and
Bioelectronics report).
Fig. 1. Schematic representation of typical biosensor’s components and activity mode.
A significant number of biosensors were designed, implemented and tested by several
research groups with the aim to develop suitable methodologies with the best features in
terms of versatility, stability, life-time and long-term activities, sensitivity and selectivity,
detection limits, linear range, reproducibility and low cost.
In 1993 McArdle and co-workers described an amperometric biosensor incorporating the
enzyme tyrosinase for the detection of the inhibiting herbicide atrazine. A similar
electrochemical biosensor was developed by Mazzei and co-workers (1995), based on a plant
tissue bioelectrode. In 2002 Shao and co-workers developed a cyanobacterial-based
biosensor able to detect herbicides and other environmental pollutants. A magnetic
nanoparticle-based biosensor incorporating alkaline phosphatase enzyme was proposed by
Loh and co-workers in 2008 and applied to the determination of the herbicide 2,4dichlorophenoxyacetic acid (2,4-D).
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Studies in the framework of the development of biosensors for the detection of
environmental pollutants exploit photosynthetic microorganisms or parts of them, such as
thylakoids. Photosynthetic systems are naturally-occurring anisotropic supramolecular
arrangements of proteins and small molecules that are able to harvest light energy and
funnel it towards building up biomass and releasing oxygen. For these purposes,
photosynthetic organisms are equipped with multi-enzymatic complexes embedded in
thylakoidal or free membranes known as photosystems. The hierarchical organization of
these pigment-protein complexes is at the basis of their unique efficiency. Functional and
structural knowledge of photosynthetic systems has been steadily increasing, and as a
result, fundamental and applied research have made it possible to integrate biological
photosystems or their functional sub-structures into artificial assemblies in order to get them
to carry out their tasks in a controlled environment for specific applications. Biosensors and
nanobiosensors for the detection of herbicides fall into this category.
In detail, Photosystem II (PSII) is the multienzymatic chlorophyll-protein complex located in
the thylakoid membrane of algae, cyanobacteria and higher plants (Figure 2). PSII is an
integral part of the electron transport chain that catalyses photosynthetic primary charge
separation. This protein complex consists of over 25 polypeptides, which make up the lightharvesting chlorophyll protein complex, the reaction centre and the water-splitting system,
also called the oxygen evolving complex. The scaffold of the PSII reaction centre (RC) is
formed by two protein subunits, D1 and D2, each composed of five transmembrane
α-helices (named from A to E) with their N- and C-termini exposed to the stromal and
Fig. 2. Model of the photosynthetic membrane of plants showing the electron transport
components (cross-sectional view). The complete membrane forms a vesicle. The pathways
of electrons are shown by solid arrows. Photosystem II (PSII), photosystem I (PSI), and
cytochrome b6f complexes, all involved in the electron transfer chain, are also shown
(Buonasera et al., 2010).
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luminal sides, respectively. All the photosynthetic redox active components are located
within the D1-D2 heterodimer, including the plastoquinones QA and QB (PQs) (Ferreira et
al., 2004; Loll et al., 2005 a).
4. Atrazine: a case study, exploitation and mode of action
Most herbicides introduced in agriculture during the last 40 years impede chloroplast
functions. The inhibitors of the photosynthetic reactions (urea/triazines and phenolic
herbicides) comprise more than half of all commercially available herbicides of the 70’s.
Among them, atrazine has been a cornerstone for high-yield crop production, mostly in
corn, sorghum and sugar cane farms for the last 50 years (http://www.atrazine.com).
Atrazine, 2-chloro-4-(ethylamine)-6-(isopropylamine)-s-triazine, is a symmetric triazine. It is
a soil-applied herbicide, which is actively absorbed by the roots, transported via the
apoplastic system and accumulated mainly in leaf margins and tips (Hilton et al., 1976;
Bouldin et al., 2006). Inside the cells, it readily penetrates and accumulates into the
chloroplasts probably until an equilibrium concentration is attained between the chloroplast
and the cytoplasm (Shimabukuro & Swanson, 1969). Atrazine is selective and highly
effective in the pre- and post-emergence control of a broad range of yield-robbing weeds; it
is safe to the crop and fits in a variety of farming systems; it is the most widely used
herbicide (except in EU since 2004) in conservation tillage systems, preventing soil erosion.
Studies on weed control in corn plantations published in the North Central Weed Science
Society Research Report showed that despite the availability of many new herbicidally
active ingredients, corn yields with atrazine continue to be higher than with non-atrazine
treatments (Fawcett 2008). This analysis assembled the data accumulated over a period of 20
years, from 1986 to 2005, including 236 relevant studies with a total of 5871 qualifying
treatments. For the entire 20-years period, the average yield with atrazine was 5.1% higher
than without atrazine. In addition to all the advantages mentioned above, its low price also
contributes to the widespread exploitation. As an example, according to the National
Agricultural Statistics Service survey, the average US atrazine rate used in 2005 was 1.13
lb/acr (or 1.27 kg/ha) and the cost of atrazine per acre was only $2.46 (or $6.08/ha)
compared to $12.34 per acre (or $30.49/ha) for the average cost of 14 alternative broadleaf
control herbicides in corn cultivation (Fawcett 2008). Considering the income from the
increased corn yields and the low herbicide cost, for 2005 the study estimated a total US
benefit for farmers of about $1.39 billion. A similar estimation of atrazine utilization rate and
its significance in cornfield production, based on analyses of US weed management systems,
can be found in numerous research papers (Swanton et al., 2007; Williams et al., 2009;
Williams et al., 2010).
Atrazine was registered for use in the United States in 1959 (US EPA, 1994). Because of its
high water solubility and intensive utilization, it is the most common herbicide found in
rivers, streams and groundwater at concentrations that very often exceed the MRL imposed
by several European directives, even when used appropriately (Cox 2001). This set in
motion the process for a regulatory ban in 2004 which became effective one year later in all
EU countries (Ackerman 2007). Nonetheless, atrazine is still present in over 20% of the 3000
sites analysed in Italy (Paris et al., 2009).
However, in 2006 the EPA completed its re-registration eligibility process and still allowed
atrazine use. Lately, the EPA has started broad re-evaluation of human health and ecological
risk assessments associated with atrazine (US EPA, 2009). Nonetheless, atrazine remains one
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of the most widely used herbicides in North America and is used in more than 60 countries
around the world - in Africa, North and South America, Asia and the Middle East.
The initial investigations on the possible mode of action of the photosynthetic herbicides
(urea/triazines- and phenol-type), and in particular atrazine, performed intensively during
the 50-60’s of the last century, showed that they inhibit the Hill reaction in isolated
chloroplasts (Moreland et al., 1959; Moreland & Hill, 1962). It appeared that the triazines
and urea-type herbicides had a similar mode of action, but it was still uncertain at that time.
Based on the herbicide-induced stimulation of the chlorophyll a fluorescence signal,
Duysens and Sweers (1963) postulated that the herbicide inhibits the re-oxidation of primary
quinone acceptor of PSII – QA–. Subsequently, it was shown that the photosynthetic
herbicides block the PSII electron transport immediately after the QA and the interruption of
the electron transport occurs as a consequence of the herbicide binding to, at that time, an
unknown protein in the chloroplast thylakoid membranes (Forbush & Kok, 1968; Pfister &
Arntzen, 1979). The discovery of the first triazine-resistant plant (Senecio vulgaris) brought to
light evidence that the resistance is due to alteration in the primary target, but not in the
uptake, translocation or degradation metabolism of the herbicide (Pfister et al., 1979). The
related protein was identified by means of photoactive herbicide derivatives, which under
UV irradiation covalently bind the target protein. In this way, it was shown that azidotriazin
binds to a 32 kDa protein – the D1 protein of PSII (Pfister et al., 1981). In the beginning of the
‘80s it was believed that the photosynthetic herbicides inhibit the PSII electron transport
allosterically (reviewed by Van Rensen 1982; Renger 1986). Tischer and Strotmann (1977)
and later on also other groups (Oettmeier & Masson, 1980; Haworth & Steinback, 1987;
Oettmeier et al., 1987; Giardi et al., 1988) demonstrated competitive binding between
different herbicides. Vermaas et al. (1983) found that the binding affinity of atrazine sharply
decreases when the QB site is occupied by azidoquinone. The herbicide affinity to D1
depends on the redox state of QB; it is high when the QB is in the oxidized state and weakly
bound to the QB-pocket, and low when QB is in the semi-reduced state and tightly linked to
D1 (Lavergne 1982). These findings suggested a competitive binding between the herbicide
and the PSII electron acceptor QB.
Nowadays it is widely accepted that herbicides such as diuron and atrazine block the
electron transport between the primary (QA) and the secondary (QB) quinones of PSII by
competitive substitution of plastoquinone in the QB-site of the D1 protein. An initial model
of the herbicide-binding region and the orientation of the molecule in the binding site was
developed by Trebst (1986, 1987). Later, a number of additional models were developed that
described in more details the topology of the QB region and the possible herbicide/D1
interactions (Xiong et al., 1996; Lancaster & Michel, 1999; Kern & Renger, 2007). More
recently an additional quinone binding site, named the QC site, has been identified,
shedding light on the possible mechanism of quinol-quinone exchange which would involve
a quinone entry tunnel and an additional/alternative quinol exit tunnel (Guskov et al.,
2009). The above mentioned models are based on molecular modelling and X-ray diffraction
studies of the structure of the RC of the bacterium Rhodopseudomonas viridis and of the PSII
of cyanobacterium Thermosynechococcus elongatus, which are homologs of eukaryotic PSII.
The QB site is formed between the D and E trans-membrane helices of D1 protein, from
Gly207 down to Phe274 aminoacid residues, and the plastoquinone forms directly hydrogen
bonds with Ser264, His215 and Phe265 (Kern & Renger, 2007). Lancaster and Michel (1999)
performed a detailed study on the atrazine interaction with the bacterial RC in
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Rhodopseudomonas viridis. According to their model, the atrazine molecule is bound to the RC
protein directly by three hydrogen bonds (Ile, Ser and Tyr residues) and indirectly via water
molecules by four other hydrogen bonds. They emphasized the role of the orientation of the
triazine molecule inside the RC binding site for the magnitude of the herbicide toxicity. The
atrazine and the plastoquinone bind to overlapping, though not completely identical,
regions localized in the common domain, but both target the serine aminoacid residue
(Lancaster & Michel, 1999). Additional information about the aminoacids involved in the
herbicide/QB pocket interactions was obtained from analyses of herbicide resistant or
sensitive mutants. All 77 identified mutations in the PSII reaction centre D1 protein in
cyanobacteria, algae and higher plants conferring herbicide resistance or sensitivity are
localized in the region encompassing Phe211-Leu275 (Oettmeier 1999). Among them, 27
mutations consisted of Ser264 replacement, a finding in agreement with the well accepted
concept that this aminoacid is the principal binding target of triazines and urea type
herbicides. Other frequently cited aminoacid substitutions resulting in changes in the
atrazine/D1 interaction are localized on Ala at positions 250 and 251, 8 and 9 mutations,
respectively (Oettmeier 1999; Johanningmeier et al., 2000). The increasing number of data
coming from atrazine resistant/sensitive mutants and the advances in the computation of
structure design and modelling could significantly expand our knowledge on herbicide and
PSII reaction centre interactions (Rea et al, 2009).
5. Relevance of bioinformatic tools. Molecular docking, binding energy
calculation and molecular dynamics
In silico studies of macromolecular systems are becoming increasingly useful and reliable
with the improvement of our knowledge of their physico-chemical properties and with the
availability of more powerful hardware resources.
Nowadays, structural bioinformatics tools coupled to modern molecular biological
techniques allow the tailoring of macromolecules as high affinity receptors for organic
compounds of biomedical/environmental/industrial relevance to be used as biosensing
devices for these compounds. In this framework, in the absence of high-resolution crystal
structures, molecular docking techniques allow prediction of the binding site and mode of
action of a given molecule to a macromolecule, a first step towards the rational redesign of
the macromolecule to build an efficient biosensor. Several docking packages can also
calculate the ligand-macromolecule interaction energy allowing the in silico evaluation of a
macromolecular system affinity for a given ligand, and the effect of point mutations on this
parameter. Energy minimization and molecular dynamics simulations constitute
complementary and, to a certain degree, alternative methods to evaluate the affinity of a
macromolecule for a ligand. In fact, energy minimization techniques represent a fast method
to refine the putative complexes obtained by molecular docking and to predict the ligand–
macromolecule interaction energy. An example of such an application is recent work carried
out in our lab in which a large number of mutants of the PSII proteins D1 and D2 were
generated in silico and the atrazine binding affinity of the mutant proteins was calculated by
a combination of molecular docking and energy minimization techniques, to predict
mutations able to increase PSII affinity for atrazine (Rea et al., 2009). The validation of the
computational approach through comparison with available experimental data confirmed
the efficacy of this approach. In addition, the production and characterization of one of the
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predicted mutants confirmed an increase in atrazine affinity for the D1-D2 heterodimer of
one order of magnitude, with evident benefits for PSII-based atrazine biosensing
applications (Rea et al., 2009).
A different approach is taken by molecular dynamics (MD) simulations. MD simulations are a
powerful tool to study the evolution of a protein conformation in response to various stimuli,
such as substrate/ligand binding, site directed mutagenesis, etc.. In the case of protein
inhibitors, as is the case with herbicides, MD simulations provide essential information
regarding the relevant interactions established by the inhibitor with the protein moiety and
can guide the design of novel, more powerful inhibitors. However, when a given protein
system is used in biosensing applications the reverse strategy can also benefit from molecular
dynamics studies. In this case, rather than using simulations to design better inhibitors, MD
simulations can provide an atomic level view of the protein-inhibitor interactions and guide
the design of site directed mutants aimed at improving the affinity of the protein system for
the inhibitor in order to improve its “fitness” for biosensing applications.
In this framework, MD simulations of PSII in the presence of herbicide inhibitors help to
define the details of the molecular interactions stabilizing the herbicide-PSII complex and to
pinpoint possible binding pocket modifications that could lead to an increased binding
affinity.
6. Molecular dynamics simulations of PSII-atrazine complex. Relevance for
biosensor applications of PSII
As already detailed above, atrazine is known to bind in the eukaryotic D1 protein region
encompassing residues Phe211-Leu275, that partially overlap the QB binding pocket (Giardi
et al., 1988; Oettmeier 1999). Analysis of mutations conferring herbicide resistance or
sensitivity indicated that Ala 250, Ala251 and Ser264 are located close to the atrazine
binding pocket and probably directly interact with it (see above, Oettmeier 1999;
Johanningmeier et al., 2000). Using this information, in the previous study cited above we
obtained a molecular view of the atrazine-D1 interactions using a combination of molecular
docking and energy minimization techniques (Rea et al., 2009). As shown in Figure 3, the
model we obtained is in good agreement with the available mutational data in which
atrazine is predicted to bind in a pocket made up by residues 211-218 on one side, residues
251-255 on top and residues 264-275 on the opposite side, the same pocket hosting the QB
ring in the available crystal structure of Thermosynechococcus elongatus PSII (Loll et al., 2005
b). In the attempt to verify the reliability of this model and to refine the structure of the
atrazine-PSII complex, we recently undertook MD simulations of the whole PSII
macromolecular complex embedded in a lipid bilayer in the presence of atrazine. The
Thermosynechococcus elongatus PSII crystal structure contains two macromolecular complexes
in the asymmetric unit. However, it has been recently demonstrated that the in vivo
functional PSII unit is composed of a single macromolecular complex (Takahashi et al.,
2009). Thus MD simulations were carried out on the “monomeric” PSII macromolecular
complex. Methodological details can be found in Table 2.
The atrazine molecule was placed inside the QB binding pocket in a such way that the
following residues were found within 4.0 Å distance from the molecule: His215, Leu218,
His252, Phe255, Gly256, Ser264, Phe265, Leu271 and Phe274 (Rea et al., 2009). A hydrogen
bond between the nitrogen atom of the ethylamino moiety (N5) of atrazine and the
backbone amide group of Phe265 was possible for such a conformation.
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Fig. 3. Schematic view of the atrazine binding pocket within the PSII D1 protein obtained by
docking simulations and energy minimization techniques (for details see Rea et al., 2009).
Starting structure
MD simulations package
T. elongatus PSII (3.0 Å resolution, PDB entry 2AXT)
GROMACS v. 4.0.7 (Van der Spoel et al., 2005)
Protein subunits force field
AMBER 99SB (Wang et al., 2000)
Cofactors force field
General AMBER force field (Wang et al., 2004)
Cofactors charges calculation
method
GAUSSIAN 03 package (Frisch et al., 2004)
Charge fitting and
parametrization
Antechamber (Wang et al., 2006)
Membrane bilayer
Pre-equilibrated DOPC bilayer model (Siu et al., 2008)
MD simulations total time
10 ns
Time step
2 fs
Temperature
300 K
Table 2. Methodological details of MD simulations of the PSII-atrazine complex.
Already during the energy minimization run, additional hydrogen bonds between the
aromatic ring nitrogen (N2) of atrazine and the amide group of Phe265, and between the
ethylamino group (N5) of atrazine and the hydroxyl group oxygen of Ser264 were formed as
well. Overall, only small changes of the atrazine position with respect to the position of the
amino acids forming the active site of the starting conformation took place at this stage.
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During the MD simulation run, atrazine changed substantially its position within the QB
binding pocket (Figure 4).
Fig. 4. Schematic representation of the atrazine-PSII complex initial structure (orange) and
final structure (blue) after 10 ns MD simulations.
In particular after 10 ns MD simulations atrazine changes its orientation and binds in a
deeper position inside the QB pocket. In detail, only 5 amino acids (His215, Leu218, Phe255,
Phe265 and Phe274) out of the 9 within 4 Å distance from atrazine in the initial
conformation, remained in the vicinity of atrazine at the end of the MD run. However,
additional residues were found closer to the atrazine molecule (Phe211, Met214, Tyr246,
Ile248, Ala251, Asn266, Asn267, Ser268, Leu271) (Figure 5).
Fig. 5. Detailed representation of the chemical environment of the atrazine binding pocket
after the MD simulations run.
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Analysis of the atrazine binding mode at the end of the simulation trajectory surprisingly
reveals only few specific interactions with residues of the D1 protein which stabilize the
bound molecule. In particular, hydrophobic interactions are observed between the C6
methyl group of atrazine and Phe255 phenyl ring, between the C7 methyl group of atrazine
and the Met214 sidechain, while a single strong hydrogen bond is established between the
N1 atom of atrazine and the His215 Nδ proton. On the other end, apparently no binding
partner stabilizes other groups on the atrazine molecule. In particular the chloride atom is
bound in an energetically unfavorable position in the vicinity of the aliphatic residue Val219
and no hydrogen bonding partner is observed for the atrazine N4 and N5 protons. In two
out of three cases, rational design of site-directed mutants are likely to increase atrazine
affinity for the QB binding niche. In fact, the atrazine chloride atom could be stabilized by
mutation of Val219 into a polar residue that can provide a hydrogen bond donor to the
chloride atom.
In the same way, the atrazine N5 proton could find a hydrogen bond partner through
replacement of the aromatic Phe265 residue with a polar hydrogen bond acceptor.
Indeed, the results discussed above indicate that MD simulations can be an effective
strategy for the design of an improved herbicide binding pocket in PSII and experiments are
being carried out to evaluate the reliability of this approach.
7. Relevance of genetic engineering to improve sensitivity and selectivity of
biomediators for biosensor development
The combination of computational analyses and molecular biology tools makes possible the
realization of more stable, sensitive, selective and specific biomediators for the creation of
effective biosensors. The improvement of these parameters is of outstanding relevance for
biosensor reliability, and strongly attracts the interest of commercial companies accelerating
the acceptance of this technology.
Nowadays, genetic engineering allows the modification of specific nucleotide sequences of
an organism genome to obtain proteins with novel improved properties, and innovative
biotechnological approaches make it possible to integrate these systems, or their functional
sub-structures, into artificial assemblies for specific applications such as environmental
monitoring. Several biomediators have been already developed exploiting molecular
biological techniques to produce enzymes and/or protein with improved features in the
detection of specific analytes (Wang et al., 2009).
In the context of the photosynthesis-based biosensors, activities in different research areas
allowed the design and development of engineered photosynthetic microorganisms with
improved sensitivity and stability features to be used as bio-recognition elements for the
detection of environmental contaminants. Different approaches, such as space research and
physical elicitations, have been applied to select microorganisms with improved tolerance to
extreme environmental conditions. The newly selected organisms generated for biosensor
purposes were able to maintain a stable photosynthetic efficiency and an increased oxygen
evolution capacity (Rea et al., 2008).
In particular, we carried out modifications of the D1 reaction centre proteins, as they play a
crucial role in electron tunnelling-mediated charge separation and transmembranal electric
field generation, acting principally on reduction, release and migrations of (plasto)
quinones. Random mutagenesis targeted to the D1-encoding psbA gene was exploited as a
directed evolution strategy to produce a huge mutant library of chlamydomonas carrying
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novel D1 proteins with different aminoacidic composition. In addition, thanks to the
support of bioinformatics studies, site-directed mutagenesis was also exploited to generate
specific point mutations in the D1 protein, in order to modify the properties of the
PQ/atrazine binding affinity.
Chlamydomonas D1 random and site-directed mutants were produced by particle gun
bombardments of the chloroplast genome (Przibilla et al., 1991). The Del1 chlamydomonas
strain was used as a recipient host for the mutant’s generation (Preiss et al., 2001). This
strain has a defined deletion in the chloroplast-encoded psbA gene and is unable to grow
photoautotrophically, as it cannot produce a functional D1 protein. Acetate is needed as
carbon source as minimal media do not support its growth. Minimal media were used to
select photosynthetically active colonies generated after the integration of the psbA variant
produced both by random and site-directed PCR (Dauvillee et al., 2004). Selected mutants
were then characterised by analysing their photosynthetic performance and the sensitivity
and/or resistance to different classes of herbicides assessed (Tibuzzi et al., 2007; Rea et al.,
2009; Giardi et al., 2009; Scognamiglio et al., 2009). After the characterization, the best
performing mutants were immobilized on screen-printed electrodes and integrated in
amperometric or potentiometric circuits. Both electrochemical and optical devices were
arranged in multi-arrayed setups.
8. Biosensors already developed
Although a variety of whole-cell-based bacterial sensors have been applied in
environmental assays for pollutant monitoring, generally they display a poor response to
herbicides (Table 3).
If the electron transfer from the reaction centre to the quinone pool is blocked, such as
during the binding of the photosynthetically active pesticides, these parameters change
dramatically and can be monitored by electro-optical analysis in a pesticide concentration
dependent manner (Figure 6). In this context, an optical biosensor based on the green
photosynthetic alga Chlamydomonas reinhardtii described by Tibuzzi and coworkers (2007)
was employed to monitor several classes of herbicides, such as atrazine, diuron, ioxynil,
terbuthylazine, prometryn and linuron, in a low concentration range (10-8-10-10 M) (Table 3).
In particular, a miniaturized optical biosensor instrument was designed and produced for
multiarray fluorescence measurements of several biomediators in series, with applications
in environmental monitoring and agrofood analysis. In the work by Rea and coworkers
(2009), a computational study was performed to design and construct a set of mutant strains
from the green photosynthetic alga C. reinhardtii, with higher sensitivity towards several
classes and subclasses of herbicides (Table 3).
In this context, an in silico study was performed to predict mutations within the D1-D2
heterodimer which improve its specificity, sensitivity, and binding affinity for atrazine. In
detail, taking advantage of the high sequence homology observed between
Thermosynecococcus elongatus D1 and D2 proteins and the corresponding proteins from C.
reinhardtii (87% and 89% amino acid sequence identity, respectively), the three-dimensional
structure of the latter proteins was homology modelled. On the basis of this model, a series
of D1 and D2 mutants were generated in silico and the atrazine affinity of wild type and
mutant proteins was predicted by binding energy calculations to identify mutations able to
increase PSII affinity for atrazine.
108
DEVELOPED
BIOSENSORS
Herbicides, Theory and Applications
ADVANTAGES
DISADVANTAGES
REFERENCE
Whole-cell-based
bacterial biosensors
Cyanobacterial
PSII-based
biosensors
- simple and rapid pretreatment steps
- real samples/complex
matrix analyses
- ability to recognize
different classes of chemicals
- intrinsic instability,
short half-life and
specificity, poor
response
Weitz et al., 2001
Merz et al., 1996
Optical biosensor
based on various
microalgae or
chloroplast and
thylakoids
membranes
- different recognition
elements for various classes
of pesticides, insecticides and
organophosphorus
compounds
- high limits of
detection in a
concentration range
from 10-8 to 10-3 M or
10-9 to 10-5 M
Marty et al., 1995
Naessens et al.,
2000
Euzet et al., 2005
Giardi et al., 2005
Breton et al., 2006
Optical multiarray
biosensor which
employ several
mutant strains from
C. reinhardtii
- high specificity towards
classes and subclasses of
herbicides
- low limits of detection in a
concentration range from
10-10 to 10-8 M
- low specificity
towards specific target
analytes
Tibuzzi et al., 2007
Rea et al., 2009
Giardi et al., 2009
Scognamiglio et
al., 2009
Biosensing
platform with
different
biomediators and
double detection
systems (optical
and amperometric)
- high specificity towards
classes of herbicides
- low limits of detection in a
concentration range from
10-10 to 10-8 M
- high stability of
immobilisation biological
recognition elements
- low specificity
towards specific target
analytes
Buonasera et al.,
2010
Amperometric
biosensors based
on mutant strains
from C. reinhardtii
- real samples/complex
matrix analyses
- low specificity
towards specific target
analytes
Giardi et al., 2005
Amperometric
biosensors based
on thylakoid from
Spinacia oleracea and
Senecio vulgaris
- real samples/complex
matrix analyses
- low specificity
towards specific target
analytes
Touloupakis et al.,
2005
Table 3. Main features of developed biosensors.
New advances in the same context were achieved in amplifying the range of recognition
elements and measurement of a significant number of different classes of environmental
pollutants. These advances occurred through the development of a biosensing system which
uses sets of mutant organisms with different affinities towards pesticides. A library of
functional mutations in the unicellular green alga C. reinhardtii for preparing biomediators
was presented by Giardi and coworkers (2009). Exploiting bioinformatics to design new
mutant strains resulted in the construction of microorganisms which showed different limits
of detection for diazines, triazines and urea herbicides, underlined the high potential of
bioinformatics and molecular biology in the design of desired biological material suitable
for biosensor use.
Computational Biology, Protein Engineering, and Biosensor Technology:
a Close Cooperation for Herbicides Monitoring
Fluorescence profile of Chlamydomonas
in the absence of atrazine
in the presence of atrazine
0
120
Current (nA)
Fluorescence Intensity (au)
180
109
-70
-140
60
+ atrazine
0,01
0,1
1
10
Time (ms)
100
1000
A
-210
0
1000
2000
3000
B
Time (s)
Fig. 6. (A) Fluorescence profile of C. reinhardtii PSII in the absence and in the presence of
atrazine. The binding of the herbicide is related to the main parameters of the profile in a
concentration dependent manner. (B) Current profiles of C. reinhardtii PSII in the absence
and in the presence of atrazine (10-7 M). The binding of the herbicide decreases the current
signal in a concentration dependent manner.
A multi-biomediator fluorescence biosensor based on a new versatile portable instrument
was assembled by Scognamiglio and coworkers (2009). The biosensor instrument was
composed of a 24 cell array configuration able to host different mutant strains for the
detection of a variety of herbicide classes such as triazines, diazines and ureas (Figure 7).
As we can observe from the described advances in biosensor technology, the main features
of a successful biosensor are characterised by the interchangeable recognition elements,
which provide the versatility to measure large numbers of analytes. In Buonasera and
coworkers (2010), a biosensing platform was constructed to provide an analytical tool
applicable to the daily pre-screening of a broad spectrum of samples. The platform
combined the most used transduction systems for biosensors, amperometric and optical
systems, and used genetically modified microorganisms as versatile biomediators, allowing
detection of different subclasses of herbicides.
Fig. 7. Biosensing platform set-up consisting of 24 cells able to host an array of several
biomediators.
110
Herbicides, Theory and Applications
It represented a sensitive, reliable, and low-cost system able to detect water pollutants such
as atrazine, diuron, linuron, and terbuthylazine down to 10-8-10-10 M. Combining the
amperometric and optical detection systems, the platform was able to determine the
toxicological potential of samples, through the determination of the biomediator
physiological activity inhibition. Fluorescence modification and current reduction were
related to the concentration of herbicide and quantified by a dedicated data acquisition
software. In addition, the opportunity to use a wide range of biological materials made the
platform a good candidate for the development of a biosensor with required features.
Several other practical aspects seem to be important for the development of biosensors. One
of these aspects considers the variability of real samples, whose composition is usually
unknown and can vary widely from sample to sample. Suitable biosensors have to
demonstrate reliability in field tests followed by validation by standard analytical
methodologies. In Giardi and coworkers (2005) a fluorescence multi-biosensor was reported
based on the thylakoids activity from different microorganisms used for the determination
of several pollutants on real samples from the Tiber river, the Aqua Marcia, the Valle del
Sorbo, and the Po river, tested contemporaneously by gas chromatography-mass
spectrometry. Similar results were found with both methods. In Touloupakis and coworkers
(2005) an amperometric multibiosensor using various photosynthetic preparations as
biosensing elements for the detection of herbicides and pollutants on real samples was
described. The photosynthetic thylakoid from Spinacia oleracea, Senecio vulgaris and its
mutant resistant to atrazine were immobilized on the surface of screen printed electrodes
composed of a graphite-working electrode and Ag/AgCl reference electrode deposited on a
polymeric substrate (Figure 8). The presence of pollutants was revealed as the effect on PSII
due to the sum of various herbicides, mainly triazines (0.210 µg/l) and phenolic compounds
(0.041 µg/l). The performance of a biosensor is also related to the stability, the operating
lifetime and the reusability of the biodevice, which is of critical importance and can affect
the success of its use. In biosensor production, the biological material is usually
immobilised, entrapped or cross-linked so as to produce an intimate connection or
communication between the biomediator and the transducer. Many techniques have been
Fig. 8. Screen printed electrode used for biomediator immobilization.
Computational Biology, Protein Engineering, and Biosensor Technology:
a Close Cooperation for Herbicides Monitoring
111
introduced to overcome manufacturing problems associated with stability. In Buonasera
and coworkers (2010) different immobilisation procedures, following physical and chemical
approaches, were described as being suitable for several biological recognition elements and
to be applied in amperometric and/or fluorescence measurements, some of these biosensors
are already commercially available (see www.biosensor.it) (Table 4).
LEAKING
IMMOBILIZATION METHOD
High
High
High
High
Medium
Medium
Medium
Low
Low
Low
High
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Filter paper disk
Alumina filter disk
Glass microfiber filter
DEAE cellulose
Nitrocellulose
Agar
Agarose
Carrageenan
Alginate
Gelatin
Lyophilisation
Glutaraldehyde
Magnetic-beads polymer
Binding on gold films
Collagen
Bovine serum albumine (BSA-GA)
Cross-linking on Gold
Cross-linking on TiO2
Polyacrylamid
Polyurethane
Photocrosslinkable resin
Vinyl
Poly(vinylalcohol)
Tyrylpyridinium groups
Thiophen polymer
error less than 10%
RESIDUAL
ACTIVITY %
56
26
49
50
90
45
33
30
20
50
70
70
60
35
30
70
20
55
41
28
10
15
38
45
57
Table 4. Immobilization methods applied to several biomediators. The stability of each
procedure was evaluated measuring the residual activity and leaking before and after
immobilization.
9. Conclusion and future perspectives
The exploitation of herbicides for weed control is vital to increase the yields and
productivity in agriculture. Without the use of herbicides, it would have been impossible to
fully mechanize the production of cotton, sugar beets, grains, potatoes, and corn. As a
consequence, given the harmful economic implications of poor harvesting, herbicide
production is the principal driver of the farming industry. However, the continuous and
massive application of these compounds can negatively affect human health and
112
Herbicides, Theory and Applications
ecosystems. These consequences result in an increased demand for risk assessment and
prompt the regulatory agencies to update legislation aimed at controlling environmental
contaminations. In this scenario, the development of analytical devices able to detect the low
levels of herbicide contaminants defined by the EU directives, and to distinguish among
different classes of compounds, is essential. Several instruments which partially satisfying
these requirements have been already developed.
Future activity should be focused on the development of new types of bio-sensing elements
for building up a platform of modular biosensors which can be easily adopted for the
simultaneous detection of several herbicides. We are currently manufacturing an array of
novel whole-cell biosensors based on the activity of engineered photosynthesis enzymes
with improved sensitivity and stability features, and ectopic expressed fluorescent proteins
as sensing elements. The new complex biosensor array will be based on both optical and
electronic transduction for multi-parameter detection. It will be able to monitor the
herbicide levels and to diagnose their biological impact. This improvement should provide
the impetus for the technological transfer from laboratory devices to in-field operation
systems. The new devices will lead to a tremendous breakthrough in the detection of
contaminants and quality control in risk assessment sectors by providing a rapid broad
spectrum screening tool.
10. Acknowledgements
This study was granted by the EU FP7-SME-2008-1 projects: SENSBIOSYN n° 232522 to GR;
BEEP-C-EN n° 232082 to MTG; MULTIBIOPLAT EUROTRANS-BIO-2007-34 to GR; CASPUR
High-Performance-Computing Grants 2009-10 to FP.
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6
Statistical Based Real-Time
Selective Herbicide Weed Classifier
Irshad Ahmad1 and Abdul Muhamin Naeem2
1College
of Computer and Information Sciences, Al Jouf University
2NetSol Technologies
1Saudi Arabia
2Pakistan
1. Introduction
Weeds are “Any plant growing in the wrong place at the wrong time and doing more harm
than good”. Weeds compete with the crop for water, light, nutrients and space, and
therefore reduce crop yields and also affect the efficient use of machinery. A lot of methods
are used for weed control. Mechanical cultivation is commonly practiced in many vegetable
crops to remove weeds, aerate soil, and improve irrigation efficiency, but this technique
cannot selectively remove weeds from the field. The most popular used method for weed
control is to use agricultural chemicals (herbicides and fertilizer products). In fact, the
success of agriculture is attributable to the effective used of chemicals.
2. Weed control
Weed control is a critical farm operation and can significantly affect crop yield. Herbicides
have vital importance in weed control and high crop yield however these have potential to
produce harmful effects [1]. Herbicides are applied to whole field uniformly without
considering the weed density. Weeds are often patchy rather than even or randomly
distributed in the crop fields [2]. Total variable costs in 2002 for U.K were within a range of
£1,720/ha and £1,870/ha for main crop potatoes, of which herbicides accounted for between
3% and 4% of costs, fungicides accounted for about 8% of variable costs and nematicides
accounted for about 14%-16% of variable costs. United States farmers applied about $16
billion of herbicides in 2005 (The Value of Herbicides in U.S. Crop Production: 2005 Update,
Crop Life Foundation), in 1965 pesticide use was $474.1 million for the United States. By
1970 the use of pesticides doubled to $960 million for the United States and between 1975
and 1999 pesticide use grew 383% for the United States (Agribusiness and Applied
Economics Report No. 456), representing a significant portion of the variable costs of
agricultural production. Obviously, if a more sophisticated chemical delivery system is
develop which applied chemicals where weeds existed and abstained where there are no
weeds, chemical usage would be reduced and chemicals would be more effectively placed.
These practices would result in lower environmental loading and increased profitability in
the agricultural production sector. Selectively spraying, spot spraying, or intermittent
spraying are different names which are attached to this herbicide application method.
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Herbicides, Theory and Applications
(a)
(b)
Fig. 1. (a) Automated Weed Sprayer Arm (b) Control Panel
(images are courtesy of HARDI Australia Pty Ltd)
The amount of herbicides in a control patch sprayer has been potentially reduced when realtime weed sensing is used. Patch spraying using remote sensing and machine vision are
successful systems [3].
Weed Features: A verity of visual characteristics that have been used in plant identification
can be divided into three categories: Spectral Reflectance, Morphology and texture.
The photosensor-based plant detection systems [4], [5] can detect all the green plants and
spray only the plants. A machine-vision guided precision band sprayer for small-plant foliar
spraying [6] demonstrated a target deposition efficiency of 2.6 to 3.6 times that of a
conventional sprayer, and the non-target deposition was reduced by 72% to 99%.
Certain accurate methods for weed detection have been developed, which included wavelet
transformation to discriminate between crop and weed in perspective agronomic images [7]
Statistical Based Real-Time Selective Herbicide Weed Classifier
123
and spectral reflectance of plants with artificial neural networks [8]. Other researchers have
investigated texture features [7] or biological morphology such as leaf shape recognition [6].
So in real time for the identification and classification of crop rows in images, a lot of fast
methods have been implemented [9]; some of them are based on Hough transform [10],
Fourier transform [13], Kalman filtering [11] and linear regression [12]. Consequently, there
are various vision systems available on autonomous weed control robots for mechanical
weed removal.
3. Statistical weed classifier
Statistical classification is a supervised machine learning procedure in which entities are
placed into cluster based on quantitative information on one or more characteristics inherent
in the items and based on a training set of previously labeled items.
Figure. 2 shows the Flow Chart of a Real-Time Specific Weed Recognition System which
were developed to accomplish the broad and narrow weed classification. The algorithm was
based on a variance of an image taken from the grayscale image which is obtained from the
color image after pre-processing to detect the target area in the fields.
a. Image Pre-processing
Color images were taken from the field. Three arrays were defined to store Red, Green and
Blue colors of RGB image in their respective arrays. Then the corresponding pixels from
these three arrays were converted in to a single gray scale pixel using the formula
GrayPixel=0.299Red +0.587Green + 0.1 14Blue
(1)
The gray levels are from 0 to 255. To distinguish weeds from background objects in a
grayscale image, a grayscale segmentation image-processing step is conducted where
objects are classified into one of two classes (weeds and background) by their grayscale
difference. Reference [14], indicated that weeds in field images must be carefully segmented;
otherwise the feature extraction will yield unreliable results from analyzing soil and weeds.
To identify weeds and classify them into one of two classes (broad and narrow) feature
extraction are developed.
b. Classification of Images using Statistical Population
Variance and Sample Variance Statistical approach is used to describe the texture of an
image. Variance is of particular importance in texture description of plants. After converting
the color image into grayscale and segmentation step, the variance is then calculated.
Variance for a 2D image from population data can be calculated as
M N
∑∑ ( xij − μ )2
δ2 =
i =0 j =0
M∗N
(2)
Where
M N
∑∑ xij
μ=
i =0 j =0
M∗N
(3)
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Herbicides, Theory and Applications
M represents the total number of rows and N represents the total number of columns in the
image. Variance of a 2D image from a sample data can be calculated using a formula
m
n
∑∑ ( xij − x )2
S2 =
i =0 j =0
m∗n
(4)
Where
m
n
∑∑ xij
x=
i =0 j =0
m∗n
(5)
After calculating the variance of an image, the variance is compared with the thresholds TI
and T2 to classify the weed into broad, narrow, and little weed as
If S2 < TI, then there is Little Weed in the processed Image
Else if TI < S2 < T2, then it is Narrow Weed
Else if S2 > T2, then it is Broad weed
TI and T2 are set after a series of experiments done on the images.
Figure. 3 show the classification images of broad and narrow weeds, which are taken in the
field. These images are processed by using Statistical Population Variance and Sample
Variance of an image. The algorithm gave 100% accuracy to detect the presence or absence
of weed cover.
Fig. 2. Flow Chart of Sprayer System
Statistical Based Real-Time Selective Herbicide Weed Classifier
125
For areas where weeds are detected, results show 98 percent classification accuracy over 140
sample images with 70 samples from each class as shown in Table 1. The population
variance and the sample variance of an image are calculated. Different samples were taken.
Table 1. Results of the weeds in fig 3 using population variance and sample variance for
different samples
The time taken for calculating Population Variance and Sample Variance is given in Table 1.
Sample Variance is calculated much faster than Population Variance while retaining the
same accuracy for weed detection. The result of taking the
Population and Samples were found the same. Less number of samples is good for high
processing speed in real time environment.
4. References
[1] Sunil, K.M., P.R. Weckler and R.K. Taylor, 2007. Effective Spatial Resolution for Weed
Detection. 2007 ASABE Annual International Meeting Sponsored by ASABE
Minneapolis Convention Center Minneapolis, Minnesota 17 - 20 June, 2007.
[2] Wane N, Zhang. E.F, Sun Y. and D.E. Peterson, 2001, “Design of an Optical weed
ditreibution for improved post emergence control decision”, Weed Science, 40,546553.
[3] Siddiqi, M.H., S.B.T. Sulaiman, I. Faye and I. Ahmad, A Real Time Specific Weed
Discrimination System Using Multi-Level Wavelet Decomposition, Int. J. Agric.
Biol., Vol. 11, No. 5, 2009
[4] Shearer, S. A. and P. T. Jones. 1991. Selective application of post-emergence herbicides
using photoelectrics. Transactions of the Transactions of American Society of Association
Executives 34(4):1661-1666.
[5] J. E.Hanks 1996. Smart sprayer selects weeds for elimination. Agricultural Research.
44(4): 15. [4] Giles, D. K. and D. C. Slaughter. 1997. Precision band sprayer with
machine-vision guidance and adjustable yaw nozzles. Transactions of the American
Society of Association Executives 40(1):29-36.
[6] Manh, A.G., G. Rabatel, L. Assemat and M.J. Aldon, 2001. Weed leaf image segmentation
by deformable templates. J. Agric. Eng. Res.,80: 139–146
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Herbicides, Theory and Applications
[7] Meyer, G., T. Metha, M. Kocher, D. Mortensen and A. Samal, 1998. Textural imaging and
discriminate analysis for distinguishing weeds for spot spraying. Trans. ASAE, 41:
1189–1197
[8] Fontaine, V. and T.G. Crowe, 2006. Development of line-detection algorithms for local
positioning in densely seeded crops. Canadian Biosyst. Eng., 48: 19–29
[9] Moshou, D., E. Vrindts, D.B. Ketelaere, D.J. Baerdemaeker and H. Ramon, 2001. A neural
network based plant classifier. Comput. Electron. Agric., 31: 5–16.
[10] Leemans, V. and M.F. Destain, 2006. Application of the Hough Transform for seed row
location using machine vision. Biosyst. Eng., 94: 325– 336
[11] Hague, T. and N.D. Tillet, 2001. A band pass filter-based approach to crop row location
and tracking. Mechatronics, 11: 1–12
[12] Sogaard, H.T. and H.J. Olsen, 2003. Determination of crop rows by image analysis
without segmentation. Comput. Electron. Agric., 38: 141–158
[13] Vioix, J.B., J.P. Douzals, F. Truchetet, L. Assemat and J.P. Guillemin, 2002. Spatial and
spectral method for weeds detection and localization. EURASIP JASP, 7: 679–685
[14] D. M. Woebbecke, G. E. Meyer, K. Von Bargen and D. A. Mortensen, "Shape features for
identifying weeds using image analysis," Transactions of the ASAE, vol. 38, no.1,
pp. 271-281, 1995.
7
Variable Rate Herbicide Application Using GPS
and Generating a Digital Management Map
Majid Rashidi and Davood Mohammadzamani
Department of Agricultural Machinery, Faculty of Agriculture,
Islamic Azad University, Takestan Branch,
Iran
1. Introduction
This chapter covers developing a precision method of variable rate application (VRA) for
application of cyanazine pre-emergence herbicide which eventuates to save considerable
pre-emergence herbicide, reduces its adverse effects on the environment and agricultural
products, and increases crop yield. For this purpose a digital management map is generated
using the global positioning system (GPS). A field of about 6500 m2 is selected for the grid
soil sampling. After that local and Universal Transverse Mercator (UTM) coordinates of the
field are determined using total station surveying equipments and four static GPS receivers.
Data processing is then accomplished using a personal computer equipped with surveying
software. Some soil characteristics such as soil texture and soil organic matter content are
also determined by soil sampling and analyzing the soil samples. Five interpolation
methods are then used to determine the make-up at other points of the grid. By using Cross
Validation method for evaluation of these interpolators and considering manufacture
recommendations for cyanazine herbicide application based on soil texture and soil organic
matter content, management zones with different herbicide application rates are determined
and eventually a digital management map is generated. For implementation of the
generated digital management map, a direct injection system is designed and constructed.
This system is based on GPS data for positioning of sprayer, comparing the GPS data with
digital management map data, measuring of speed, and finally injection of active ingredient
inside carrier fluid using solenoid injectors proportionate to any management zone on the
digital management map. Using the generated digital management map and equipments of
VRA, optimized rate of required herbicide for the selected field is determined. Finally, total
required herbicide with VRA is compared with uniform rate application for the entire
selected field.
2. What is cyanazine?
Cyanazine is a synthetic chemical that is widely used as a pre-emergence herbicide to
control broad-leaf weeds and grasses in agricultural crops. This chemical is in the s-triazine
family of herbicides. Some common trade names for cyanazine include Bladex and Fortrol.
Cyanazine is also available commercially premixed with another s-triazine, atrazine.
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Herbicides, Theory and Applications
3. The history of cyanazine
Cyanazine was first registered for use as an herbicide by Shell Chemical Company in 1971.
In the U.S., over 90% of its use in agriculture is to control weeds in corn fields. Its highest
use is in corn-growing states of the Midwest. It is used primarily as a pre-emergent
herbicide on corn. It is usually applied once during the growing season to control weeds
before the corn-seedlings emerge from the soil. It is also used to control weeds in sorghum,
cotton, barley, wheat, oil rape seed, sugar cane, potatoes, and in forestry.
4. The usage of cyanazine
Cyanazine ranked as the 5th most used herbicide in U.S. agriculture in 1990-93, with an
estimated 32 million pounds of active ingredient (AI) used per year. Cyanazine was third in
herbicide usage in New York State (NYS), with 650 thousand pounds of AI used annually
during the same time period.
5. The current regularity status of cyanazine
Cyanazine, along with the s-triazine herbicides atrazine and simazine, was placed under
Special Review by the U.S. Environmental Protection Agency (EPA) in 1994. Cyanazine was
placed under Special Review because of concerns raised about its cancer-causing potential
in experimental animals and possible risks to humans exposed to this herbicide. On August
2, 1995, Du Pont Chemical Co., then the primary manufacturer and registrant, voluntarily
proposed to phase out its production of cyanazine and to stop production for use in the U.S.
by December 31, 1999. Sale and use of existing stocks of cyanazine will be prohibited after
September 30, 2002. The EPA sets the maximum levels of cyanazine allowed in public
drinking water supplies. The maximum contaminant level (MCL) for cyanazine has been set
at no more than 1 microgram per liter of drinking water (one microgram is one-millionth of
a gram). The EPA also sets the limits on the maximum levels of cyanazine residues allowed
in food for human consumption, and in animal feed. These maximum levels are called
tolerances. The Food and Drug Administration (FDA) and the U.S. Department of
Agriculture (USDA) are the federal agencies responsible for monitoring the residues of
cyanazine in domestic and imported foods. Foods that exceed the tolerances can be seized or
destroyed by local or federal government officials.
6. Who might be exposed to cyanazine?
People possibly exposed to cyanazine include:
•
Agricultural workers who have mixed, handled or applied cyanazine, or herbicide
mixtures containing cyanazine
•
Family members that had lived on farms that have used cyanazine
•
People who have been involved in cyanazine manufacture, or in preparing commercial
mixtures of herbicides that contain cyanazine
•
People who have handled or laundered clothing contaminated with cyanazine
•
People who have consumed cyanazine-contaminated water
•
People who have consumed foods with residues of cyanazine and its breakdown
products
Variable Rate Herbicide Application Using GPS and Generating a Digital Management Map
129
7. How can save herbicides and reduce their adverse effects?
Sprayer controllers have been developed by agricultural equipment vendors to minimize
variation of applied rates of chemicals within fields. The control systems that allow these
devices to compensate for changes in vehicle speeds now also provide the potential to apply
variable rates of herbicides according to preplanned maps. The types of sprayer systems and
controllers capable of variable rate control are discussed here, along with their advantages
and disadvantages. Communications between task computers used to store maps and these
sprayer controllers are also discussed.
8. Variable rate technology equipments for weed control
Perhaps you apply pre-emergence herbicides for which recommended rates are based on
soil texture and soil organic matter content. Furthermore you recognize large variability in
soil texture and soil organic matter content within your field units. If so, variable rates may
improve overall herbicide performance and reduce costs while reducing its adverse impacts
on the environment and agricultural products. Perhaps your farming operation has grown
to the point that you are no longer completely familiar with all of the fields and local weed
pressure areas within them. Perhaps you have other operators for your application
equipment who are even less familiar with those fields than you are. Any of these may be
reasons to consider the application of chemicals from a map-based or real-time sprayer
system.
Most of us have performed a form of variable rate application with a traditional sprayer. By
traditional, we are referring to a system in which the chemical is tank-mixed with a carrier
(generally water), and the nozzles and pressure regulating valve are calibrated to provide a
desired volumetric application of chemical solution at a certain forward speed. Any change
in the boom pressure or vehicle travel speed from that of the calibration results in an
application rate different from the desired rates. We have all used this to our advantage at
times. For example, when observing an area of heavy weed infestation you might manually
increase the pressure or reduce speed, thereby applying a higher (and somewhat unknown)
rate of herbicide. Some precision application technologies rely on the use of a map of
planned application rates, coupled with a global positioning system (GPS) receiver, to
determine the appropriate herbicide rate for a given area in the field. Moreover, you can
apply sensor based (real-time) approach to reach this ideal.
If you have begun adopting some precision farming technologies, then you might have a
yield monitor and a GPS receiver. Since the GPS receiver is necessary for map-based
application of agricultural inputs you already may have one of the big items on hand. Two
other components are required to conduct VRA of herbicides. First, some form of “Task
Computer” will be required to provide a signal indicating the current target rate for the
current location. Second, a system for physically changing the application rate to match the
current target rate will be required. Let’s examine the technologies available for this part of
the overall system first.
There are a number of different types of control systems on the market today that are
adaptable to precision application. For the purposes of this discussion we will lump them
into three categories. The first is total flow-based control of a tank mixture. The second is
chemical injection based control, and the third is chemical injection control with carrier
control. Incidentally, all of these systems evolved out of the desire to automatically match
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Herbicides, Theory and Applications
application rates to variations in ground speed. This eliminates much of the errors in
application that could occur if ground speeds change from the calibrated setup. These
systems are effective at reducing this error. With the application rate managed by an
electronic system, the ability to apply variable rates is a logical next step. This requires that
the target application rate, or set point, be changeable according to the rate established for
that location.
8.1 Flow-based control system
The flow based control of a tank mixture is the simplest of the three types discussed here.
These systems combine a flow meter, a ground speed sensor, and a controllable valve (servo
valve or proportional solenoid valve), with an electronic controller to apply the desired rate
of the tank mixture. A microprocessor in the console uses information regarding sprayer
width and desired liters per hectare to calculate the appropriate flow rate for the current
ground speed. The servo valve is then opened or closed until the flow meter measurement
matches the calculated flow rate. If a communication link can be established between this
controller and a “map system”, a VRA can be made. An illustration of the components
comprising such system is shown in Figure 1.
Fig. 1. A flow-based control system (adapted from Humburg [7]).
Common alternatives for varying the total flow are:
•
Varying the system pressure through (a) direct pressure regulation, (b) by-pass
pressure control, (c) eccentricity of the pump’s rotor and (d) pulse width modulated
nozzles
•
Varying the nozzle diameter
The first approach and its technical solutions are limited by the square root relationship
(Equation 1) between pressure Pi and flow through a nozzle orifice Qd so that doubling the
flow rate requires a four-fold increase in pressure. Therefore, the range of operating
Variable Rate Herbicide Application Using GPS and Generating a Digital Management Map
131
pressures is relatively narrow. The coefficient k is an experimentally determined coefficient
which depends on the type and size of the nozzle and liquid used.
Qd =
Pi
k
(1)
Another limiting factor is the pressure range over which conventional pressure nozzles will
provide a defined spray quality and volume distribution pattern (turn-down ratio). This
means that the range of application rates that can be applied with a given size of
conventional nozzle by changing the liquid pressure is limited to ± 25% of the nominal
output (1.25:1). As the pressure drops below a specified level, the spray pattern becomes
distorted and application uniformity is sacrificed. When nozzles are operated above the
recommended pressure range, too many small droplets are generated. Because of these two
limitations of the application rate range, traditional sprayers are not suitable for site-specific
control strategies.
The second approach to controlling the sprayer output with a wider range of dose rates
consists of using a twin-fluid nozzle with a dose rate range of 3:1 or a variable flow (swirltype) nozzle with a range of 4:1. Variable-duration, pulsed spray emission technology was
developed for flow rate control with traditional spray nozzles. This is a relatively new
variable rate application technology that is referred to as ‘pulse width modulation’ (PWM).
It utilizes an electronically actuated solenoid valve coupled directly to the sprayer nozzle.
An advantage of this technology over pressure-based systems is that the usable range of
application rates available through one type of nozzle is greatly increased. Utilizing a duty
cycle range (pulse width) of 10 to 100 % and the use of PWM nozzles would result in a flow
control range of 10:1. To obtain this kind of flow control with a pressure-based system, the
system pressure would have to vary 100:1. This is clearly out of the workable range for
sprayer nozzles. Not only a wide range of flow control can be obtained using a pulse width
modulated sprayer system, it can also be changed relatively quickly. The nozzle valves’
capability of changing the flow 10:1 has been given as less than one second.
Another approach to achieving a high turn ratio with common sprayers has been developed
recently. These systems involve the use of multiple nozzles in each nozzle location along a
boom with the ability to pneumatically switch between output orifices and to adjust nozzle
pressures. By using different combinations of orifice sizes and pressures it is possible to
achieve a turn ratio of approximately 10:1. In this case the application rate ranges from 50 to
500 L ha-1.
A further approach, i.e. a reflectance-based system uses nozzles fitted with solenoid valves
that open briefly to apply spray when the nozzles pass over green vegetation. This system is
commercially available along with another system, which is based on the same principle.
The following prototype is an example of a machine-vision system guided sprayer. This
system was developed and tested by Tian et al. (1999). To create an intelligent sensing and
spraying system, a real-time machine vision sensing system was integrated with an
automatic herbicide sprayer (Figure 2). Multiple video images were used to cover the target
area. For greater accuracy each individual spray nozzle was controlled separately. Instead of
trying to identify each individual plant in the field, weed infestation zones were detected.
A “triple-tank” system for variable application of three different chemical solutions was also
developed by the Institute of Agronomy in Bonn in cooperation with the Kverneland Group.
This system was set up with three parallel nozzle supply lines; solenoid valves are used to
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Herbicides, Theory and Applications
Fig. 2. A machine-vision system guided sprayer (adapted from Tian et al. [24]).
switch between boom sections as instructed by the sprayer’s control unit. Each of the lines is
connected to a tank with a spray mixture with an appropriate chemical concentration.
Examples of commercial systems with flow-based control capability include Micro-Trak’s
9000 series controller, Mid-Tech’s 6100 series, Raven Industries SCS 440 or higher, and
Dickey John’s Land Manager and PCS systems. These systems have the advantage of being
reasonably simple. They are also able to make rate changes across the boom as quickly as
the control system can respond to a new rate command, which is generally quite fast. As
with any technology flow-based controllers also have limitations. The flow sensor and servo
valve control the flow of tank mixture by allowing greater or lesser pressure to be delivered
to the spray nozzles. This can result in large changes in droplet size in the spray, and
potential problems with drift. Some systems will warn you when the commanded flow rate
is outside the best operating range for your nozzles. You can adjust the vehicle speed to get
the flow rate back into an acceptable range. Also, an operator may have to deal with leftover
mixture and is exposed to the chemical during the mixing process. If you want a relatively
simple system and can live with these limitations, this one should meet your needs while
giving you the capability of VRA of herbicides.
8.2 Direct chemical injection system
An alternative approach to chemical application and control uses direct injection of the
chemical into a carrier fluid such as water. These systems utilize the controller and a
chemical metering pump to manage the rate of chemical injection rather than the flow rate
of a tank mixture. The flow rate of the carrier (water) is usually constant (occasionally
variable), and the injection rate is varied to accommodate changes in ground speed or
changes in the commanded rate based on maps or sensors. Again, if the controller has been
Variable Rate Herbicide Application Using GPS and Generating a Digital Management Map
133
designed, or modified, to accept an external command, the system can be used to do VRA.
The components of a system are shown in Figure 3.
Fig. 3. A direct chemical injection system (adapted from Humburg [7]).
Chemical injection eliminates leftover tank mixture and reduces chemical exposure risk. An
additional advantage of this system is that the constant flow of carrier can be adjusted to
operate the boom nozzles to provide droplets with a desirable size and distribution. The
principle disadvantage for variable rate control is the long transport delay between the
chemical injection pump and the discharge nozzles at the ends of the boom. The volume of
this plumbing must be applied before the new rate reaches the nozzles. This can cause large
delays in the rate change and “Christmas Tree” patterns of application as the new
concentration of chemical works its way out through the boom. For example, a simulation of
a farmer-owned broadcast sprayer conducted at South Dakota State University indicated
that nearly 30.5 m of forward travel would occur before a newly commanded rate would
find its way to the end nozzles of that sprayer. These limitations have lead to systems that
use both carrier and injection control. Raven Industries, Micro-Trak, and Dickey John all
have injection pump systems. All would also recommend that for VRA they be used in
conjunction with carrier control as described below.
8.3 Direct chemical injection system with carrier control
Chemical injection with carrier control requires that the control system change both the
chemical injection rate and the water carrier rate to respond to speed or application rate
changes. One control loop manages the injection pump while a second controller operates a
servo valve to provide a matching flow of water. A perfect system of this type would deliver
a mixture of constant concentration just as if it were coming from a premixed tank. The
system can have many of the advantages of both of the earlier systems. Direct injection of
chemical means that there is no leftover mixture to worry about, and the operator is not
exposed to chemicals in the process of tank mixing. Changeover from one rate to another
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Herbicides, Theory and Applications
occurs as quickly as both chemical and carrier controllers can make the change, which is
generally very fast. The components comprising such system are shown in Figure 4.
Disadvantages include a more complex system with higher initial cost, and the problem of
pushing varying amounts of liquid through the spray nozzles as rates change, with the
resulting changes in droplet and spray characteristics. Available systems that fit into this
category include, but are not limited to, the Raven SCS 700 series, the Mid-Tech TASC 6300
system, or the Micro-Trak TNi1740. If you do a lot of spraying and wish to avoid the
hazards of tank mixing, these systems will give you a great deal of control over your
spraying operations and offer the capability of applying variable rates of herbicides from a
pre-planned map. A few specific control systems have been mentioned here. However, this
is an area of rapid change, and new models with advanced features debut regularly. It is
suggested to search the World Wide Web using the manufacturer’s name as a keyword as a
means of locating product descriptions and specifications. Most systems will fit into one of
the categories described here.
Fig. 4. A direct chemical injection system with carrier control (adapted from Humburg [7]).
There is a range of possible solutions for the technical realization of the direct injection
method. In considering the suitability of these solutions, it is first necessary to determine the
requirements. In an ideal case, sprayers with a direct injection system should cover the
whole operating range of common field sprayers currently available on the market. The
most important factors and requirements can be divided into two groups. The first includes
requirements which are relevant to the on-line approach to site specific herbicide
application. The second group includes requirements which are related to injection metering
systems only. The basic requirements are all listed below.
•
Requirements for on-line site-specific application:
1. Application rate of the carrier
2. Application rate of the chemical
3. Minimum total response time of the application system
Variable Rate Herbicide Application Using GPS and Generating a Digital Management Map
135
4.
5.
6.
7.
8.
Forward speed
Position of weed detection device (sensor)
High spatial resolution of sprayer
Uniformity of mixture concentration across a working width (lateral distribution)
Application of several different herbicide/additive products according to weed
population
•
Requirements for injection metering system:
1. Fast change of dose rates according to changes in operating parameters – minimum
response time of injection system
2. Accurate metering of herbicides across the range of dose rates found in practice (flow
rate of carrier/chemical)
3. Optimal number and position of injection points
4. Dimensioning of the injection system in accordance with the required nozzle/system
pressure
5. Ability to deliver and inject a wide range of herbicides with varying physical properties
6. Good miscibility and solubility of herbicides with carrier (homogeneity of mixture)
7. No or, if applicable, few herbicide / spray residues
8. Easy rinsing of chemical supply lines
9. Easy and safe handling of concentrate tanks
10. Capability of being fitted to most existing sprayers
11. Robust construction of the system and use of durable materials
8.4 Putting it all together
The discussion so far has centered on how the different controller and plumbing systems
achieve a given rate of application. The other part of implementing variable rate, or sitespecific, weed control concerns how we store and communicate commanded rates to these
sprayer systems. In simple terms, this requires a “task computer” and a communications
link. The task computer holds the map of rates that you have planned. This map would
most likely have been developed on your desktop computer with a mapping program. That
program must save the application map in a form understandable to your task computer.
Note that the task computer could actually be a conventional notebook computer running
the desktop software, but the industry is moving towards more rugged devices with fewer
moving parts. Examples of these include Raven’s AMS198 and John Deere’s Green Star
system. The Ag Leader PF3000 system combines this task computer concept into the yield
monitor console so that the unit can serve both purposes. Other systems are undoubtedly
available, these are only examples. The map is typically loaded into the task computer on a
PCMCIA card that uses no moving parts. Current practice also includes connecting the GPS
receiver to the computer. The software running on the task computer then determines the
current rate command based on the coordinates it receives from the GPS receiver and sends
the rate for that management zone to the sprayer controller.
How the chemical rate information is passed from the task computer to the sprayer is
another issue. Current practice in most cases is to use the RS 232 Serial Interface to connect
the task computer to the sprayer controller. This standard interface is able to send strings of
characters and numbers from a task computer that the receiving device can use if they are in
exactly the right format. A properly formatted message might begin, for example, with a
specific character to signify a chemical rate and be followed by a specific number of digits
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Herbicides, Theory and Applications
that represent the actual rate to the controller. These messages are currently specific to each
controller manufacturer. Raven, Micro-Trak, and Dickey John allow direct connection of an
RS 232 cable for this purpose. Mid-Tech uses a Data Link communications managing
module between the task computer and their sprayer controller. In each case it is necessary
for your task computer software to be fully aware of the format of the rate message required
by the device with which it is communicating. Companies generally make this format
available to anyone who needs it, including mapping software developers. If your mapping
program has “drivers” for your brand of sprayer system, communication between the
software and sprayer should not be a problem. “Drivers” are small computer files or
programs that tell your software the specific ways to deliver information to another specific
device. If drivers are not available, it will require more work and some understanding of
your software and serial communications to make the two devices function together. This
communications link is usually used in both directions as the sprayer controller sends the
current measured application rate back to the task computer which records this information
as a part of a map record.
Whatever your level of technology usage today, it is valuable to stay informed with regard
to the changes occurring in production agriculture. Not all new technologies offer clear and
large economic benefits to all producers. However, being familiar with the technology will
allow you to decide which pieces of the precision puzzle may be used to help you survive
and thrive in a competitive world.
9. Generating a digital management map using GPS
9.1 Selected field
A field about 6500 m2 at the Research Site of Qazvin Province Agricultural and Natural
Resources Research Center in south-west of Qazvin province is selected to generate a digital
management map.
9.2 Surveying
For surveying, four benchmarks are delineated on the selected field using the 30 × 20 × 20
cm concrete blocks. The settlement location of these blocks is arbitrary so that these blocks
are used later as locations for settlement of total station surveying equipments and four
static GPS receivers. Using total station surveying equipments, local coordinates of four
benchmarks are determined so that coordinate (1000, 1000, 100) is allocated to B4 benchmark
and then relative coordinates of three other benchmarks, i.e. B1, B2 and B3 are determined
concern to benchmark B4 (Figure 5).
The local coordinates and the contours of the selected field are obtained by settling total
station surveying equipments on benchmark B4 and settling reflector on various locations of
the selected field. Then, the preliminary local map of the selected field is generated using the
LAND software. By means of the LAND software a 42-cell grid is also created and laid out
on the selected field (Figure 5). Each cell of the grid is 148 m2. As the coordinates obtained
by the total station surveying equipments are local and can not be used in the precision
faming, these coordinates are converted to Universal Transverse Mercator (UTM)
coordinates. For this purpose four static GPS receivers with 5 mm accuracy are used for
positioning of the four benchmarks. A static GPS receiver used in this study is shown in
Figure 6.
Variable Rate Herbicide Application Using GPS and Generating a Digital Management Map
Fig. 5. Field grid and position of the four benchmarks.
Fig. 6. A static GPS receiver.
137
138
Herbicides, Theory and Applications
The static GPS receivers are installed on tripods and their heights are measured manually.
Observation of satellites is last almost four hours so that more position data and
consequently more accuracy are obtained. The number of data received by the static GPS
receivers is 14676, 14934, 15024 and 2991 for the B1, B2, B3 and B4 benchmarks, respectively.
The number of data received by the static GPS receiver installed on the B4 benchmark is less
than those of other benchmarks due to possibly less observation of the GPS satellites. For the
purpose of processing, the GPS data are transferred to a personal computer using the HC
LOADER software. Handling and processing of the GPS data is performed using the
COMPASS software. First the height of antenna is defined for the software and this work is
performed for the four antennas. Then, the software automatically processes the GPS data
and data processing is performed in WGS84 coordinate system. After processing longitude,
latitude and altitude of the four benchmarks are determined. Table 1 shows longitude,
latitude and altitude (UTM coordinates) of the four benchmarks.
Benchmark
Longitude
Latitude
Altitude (m)
B1
49:54:37.28 E
36:05:00.39 N
1292.329
B2
49:54:39.26 E
36:14:57.56 N
1288.264
B3
49:54:42.16 E
36:15:00.22 N
1287.967
B4
49:54:40.79 E
36:16:02.14 N
1293.663
Table 1. Longitude, latitude and altitude (UTM coordinates) of the four benchmarks
The LAND software is used again to convert local coordinates to UTM coordinates. In this
stage UTM coordinates of all grid points are obtained by defining UTM coordinates of the
four benchmarks in the LAND software and obtaining vector of position transfer. The threedimensional contour map generated for true perception of the selected field is shown in
Figure 7.
Fig. 7. Three-dimensional contour map of the selected field.
Variable Rate Herbicide Application Using GPS and Generating a Digital Management Map
139
9.3 Soil sampling
In order to generate digital management map for VRA of cyanazine pre-emergence
herbicide, soil texture and soil organic matter content are determined in the center of all cells
of the grid which is laid out on the selected field. All soil samples are collected by bulking
augured core (internal diameter 7.5 cm) from the 0-30 cm soil layer. Soil depth of 30 cm is
the average depth for expansion of roots, i.e. active crop root zone. After collection, soil
samples are placed in airtight polyethylene bags and transported back to the Soil and Water
Laboratory. Finally, texture and organic matter content of all soil samples are determined as
described by Soil Survey Manual. The laboratory test results indicate that the minimum,
maximum and range of organic matter content of the soil samples are 0.43%, 1.25% and
0.82% (by weight), respectively. In addition, the mean and standard deviation of organic
matter content of soil samples are 0.86% and 0.18%, respectively. Also, texture of soil
samples vary between loam, sandy loam and loamy sand.
9.4 Conformity of UTM position layer with herbicide application rate layer
After obtaining test results of soil samples, soil texture and soil organic matter content in the
center of each cell of the grid are assigned to UTM position of the center of each cell. In
order to extend soil texture and soil organic matter content of center of each cell to other
grid points, five interpolations methods, i.e. Inverse Distance to a Power, Kriging, Minimum
Curvature, Moving Average and Radial Basis Function can be used. By using Cross
Validation method for evaluation of interpolators, it is demonstrated that Minimum
Curvature method is the best interpolation method for estimating grid points where
sampling has not been done.
9.5 Digital management map
Digital management map for VRA of cyanazine pre-emergence herbicide can be generated
based on the manufacture recommendations for application rate for different soil textures
and soil organic matter contents (Table 2). It can be seen from Table 2 that application rate
increases with increasing soil organic matter content and as soil texture varies from sand
and sandy loam to clay loam and clay.
Considering manufacture recommendations (Table 2) and soil test results which indicate
soil organic matter content ranges from 0.43% to 1.25%, and soil texture varies between
loam, sandy loam and loamy sand, four management zones with four different herbicide
application rates as 1.4, 1.7, 2.9 and 3.5 L ha-1 are determined, and eventually digital
management map for VRA of cyanazine pre-emergence herbicide is generated as twodimensional and three-dimensional maps indicating four distinct zones corresponding to
the different soil conditions, and consequently different herbicide application rates (Figure 8).
10. Implementation of the digital management map
For implementation of the generated digital management map, a direct chemical injection
system was designed and constructed. This system was based on GPS data for positioning
of the sprayer, comparing the GPS data with digital management map data, measuring of
velocity and finally injection of active ingredient inside carrier fluid using solenoid injectors
proportionate to any management zone on the digital management map. The most
important factor for evaluation of the developed direct chemical injection system was
response (delay) time. This time was defined the period from the instant the injection begins
140
Herbicides, Theory and Applications
until the chemical concentration reaches 95 % of the equilibrium rate. The results showed
that response time depends significantly on carrier fluid pressure and injection position of
active ingredient inside carrier fluid. A schematic illustration of the developed system is
shown in Figure 9.
Soil texture
Soil organic matter content (%)
< 1.0
1.0
2.0
3.0
4.0
≥ 5.0
Sand
0.60
0.75
1.25
1.50
1.75
2.00
Sandy Loam
0.75
1.25
1.50
1.75
2.00
2.25
Loam, Silty Loam, Silt
1.25
1.50
1.75
2.00
2.25
2.50
Sandy Clay Loam, Clay
Loam, Silty Clay Loam
1.50
1.75
2.00
2.25
2.50
2.75
Sandy Clay, Silty Clay, Clay
1.75
2.00
2.25
2.50
2.75
3.00
Peat or muck
Not recommended
Table 2. Recommended application rate (L ha-1) of cyanazine pre-emergence herbicide based
on soil texture and soil organic matter content range
(I)
Color
(II)
Soil organic matter
content range (%)
Area
(m2)
Area ratio
(%)
Herbicide application
rate (L ha-1)
1.25-1.55
408
6.40
1.4
1.56-1.85
1616
25.1
1.7
1.86-3.35
4374
67.9
2.9
3.36-3.65
40
0.60
3.5
Fig. 8. Two-dimensional (I) and three-dimensional (II) digital management map of the
selected field for VRA of cyanazine pre-emergence herbicide
Variable Rate Herbicide Application Using GPS and Generating a Digital Management Map
141
Fig. 9. Schematic illustration of the developed direct chemical injection system
11. Comparison between VRA and uniform rate application
As shown in two-dimensional and three-dimensional digital management maps (Figure 8)
6.4, 25.1, 67.9 and 0.6% of the selected field need application rates as 1.4, 1.7, 2.9 and 3.5 L ha1, respectively. Based on the generated digital management map for VRA, total required
herbicide for the entire selected field is determined to be 1.6 L. If herbicide application is
based on the digital management map and VRA instead of 2.9 L ha-1 which is the herbicide
application rate for 67.9% of the selected field, herbicide application can be decreased up to
13%. Also, herbicide application can be done economically, and suppressing of weed growth
in all management zones will be successful and without further adverse effects on the
environment and agricultural crops.
If herbicide application rate of 1.4 and 1.7 L ha-1 is considered as herbicide application rate
of the entire selected field, herbicide application can be decreased as 44.2% and 32.2%,
respectively (Table 3). However, suppressing of weed growth in some management zones
may be unsuccessful. Conversely, if herbicide application rate of 2.9 and 3.5 L ha-1 is
considered as herbicide application rate of the entire selected field, herbicide application can
be increased as 15.7% and 39.6%, respectively (Table 3). In this situation suppressing of
weed growth in all management zones can be successful, but additional herbicide
application will have adverse effects on the environment and agricultural crops.
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Herbicides, Theory and Applications
At present, many farmers apply more herbicide than the manufacture recommendations for
herbicide application rate in order to reach secure results for suppressing of weed growth.
But using digital management map for VRA, herbicide application can be done
economically, and suppressing of weed growth will be successful and without further
adverse effects on the environment and agricultural crops.
Herbicide
Needful
application
herbicide
rate
(L)
(L ha-1)
Management
zone No.
Area
(ha)
Area
ratio
(%)
1
0.0408
6.40
1.4
2
0.1616
25.1
3
0.4374
4
0.0040
A
B
C
0.057
0.901
0.713
44.2 Decrease
1.7
0.275
1.095
0.520
32.2 Decrease
67.9
2.9
1.269
1.867
-0.253
15.7 Increase
0.60
3.5
0.014
2.253
-0.639
39.6 Increase
A: Required herbicide for the entire selected field based on uniform rate application of each management
zone (L)
B: Difference between column A and required herbicide for the entire selected field based on variable rate
application i.e. 1.6 L (L)
C: Increase or decrease of required herbicide for the entire selected field based on column B and 1.6 L (%)
Table 3. Comparison between VRA and uniform rate application
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[23] Sudduth, K.A., N.R. Kitchen, W.J. Wiebold, W.D. Batchelor, G.A. Bollero, D.G. Bullock,
D.E. Clay, H.L. Palm, F.J. Pierce, R.T. Schuler and K.D. Thelen, 2005. Relating
apparent electrical conductivity to soil properties across the north-central USA.
Computers and Electronics in Agriculture, 46: 263-283.
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[24] Tian, L., Reid, J. F. and Hummel, J. 1999. Development of a precision sprayer for sitespecific weed management. Trans. ASAE 42: 893-900.
[25] Vondricka, J. 2007. Study on the Response Time of Direct Injection Systems for Variable
Rate Application of Herbicides. Ph.D. Thesis. University of Bonn.
[26] Weber, J.B., M.R. Tucker and R.A. Isaac, 1987. Making herbicide rate recommendations
based on soil tests. Weed Technol., 1: 41-45.
[27] West, C.P., A.P. Mallarino, W.F. Weider and D.B. Marx, 1989. Spatial variability of soil
chemical properties in grazed pastures. Soil Sci. Soc. America, 53: 784-789.
8
Soil Electrical Conductivity as
One Possible Tool for Predicting of
Cirsium Arvense Infestation Occurence
Milan Kroulik1, Atonin Slejska2,
Dana Kokoskova2 and Veronika Venclova1
1Czech
2Crop
University of Life Sciences, Kamycka 129, Prague 6 – Suchdol, 165 21
Research Institute in Prague, Drnovska 507, Praha 6 – Ruzyne, 161 06
Czech Republic
1. Introduction
From a practical point of view it is necessary to use an exact low cost and time consuming
approximation to obtain information about an actual weed infestation. In this study the
intensity of Cirsium arvense (L.) SCOP infestation was monitored in a 12 ha experimental
field, where malting barley (2002) and winter wheat (2003) were grown.
The sampling points for C. arvense infestation were established in a square raster with one
18 m long side of one raster unit.. Cirsium arvense occurrence was manually counted. During
the data collection at the sampling points, the number of C. arvense plants which were
situated outside of sampling points was counted as well. Each C. arvense patch was localized
by GPS and saved as digital coordinates as well. On the basis of the field survey and the C.
arvense infestation monitoring, two data sets were collected. The first data set contains the C.
arvense densities in the raster, and the second data set offers information about C. arvense
occurrence in patches. The soil variability was described by means of soil electrical
conductivity (ECa) measurement in the year 2003. The number of C. arvense plants from the
raster and values of ECa were included into the evaluation.
Acquired data were evaluated in GIS using a geostatistical procedure. Correlation analysis
brought the following results: relatively high correlation R = 0.64 in the year 2002 and R =
0.91 in the year 2003 were found between ECa and C. arvense infestation. The results
indicated a statistically significant correlation at a 99% confidence level, it means a close
dependence between C. arvense infestation and ECa was observed. This fact proved our
presumption about C. arvense response to soil properties. According to our results it can be
stated that higher values of ECa are be observed at places where higher density of C. arvense
is present.
The aim of this research is: (1) the evaluation of the C. arvense infestation and spatial
distribution, (2) the herbicide effect, (3) the field heterogeneity by means of the soil electrical
conductivity (ECa) measurement and (4) the comparison of relations between ECa and
C. arvense infestation.
Several studies proved that many weeds, including grass weeds, are spread non-uniformly
within a field. Furthermore, the weed patches are relatively stable within a season and
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Herbicides, Theory and Applications
among seasons (Hamouz et al. 2002, 2004; Godwin & Miller 2003; Krohmann et al. 2002;
Werner & Garbe 1998). On the other hand, Soukup et al. (2003) noticed biological differences
of crops in crop rotation and specific characteristics of general year-to-year crop rotation
which may have an important influence on annual changes in weed infestation. Moreover,
weed distribution proved to be heterogeneous during several years and with different crops
(Gerhards et al. 2000). Targeted protection could be done only on the basis of every year and
more than once repeated diagnostics. Further, weed seeds in soil seed bank are dispersed
during soil cultivation and harvest (Godwin & Miller 2003). Weed patches are often
extended in the direction of machinery movement (Hamouz et al. 2004). These facts have to
be taken into account for the site-specific weed management.
A considerable sum of money was spent on monitoring weed infestation. In general, the
number of weeds is hold down on a sustainable threshold value of plants per square meter.
The economical threshold varies within fields as well as within different weed species
(Scotford & Miller 2005). For example, it is reported (SAC 2001) that low populations (10
plants m-2) of volunteer barley in oilseed rape can reduce yield by 5 %, whereas populations
of broad leaved weeds (excluding cleavers) can be up to 200 plants m-2 without any
significant effect on crop yield. In accordance with the level of malignancy it is generally
possible to find areas in a field, where the chemical weed management could be omitted or
reduced (Hamouz et al. 2000). As a matter of routine the same dose of herbicide is applied to
hold the weeds under the economic thresholds, despite the fact that the weeds infestation
varies (Hamouz et al. 2000). Of course, there is a chance for herbicide savings by using site
specific herbicide application. The results of Gerhards et al. (1997) demonstrated that the site
specific weed management was technically feasible but further investigations are needed to
verify and evaluate site specific weed control methods.
The site-specific herbicide application presumes, that the herbicide spray can be omitted at
certain areas within the field with no or low weed infestation. The area with higher
infestation necessary to be treated should be sprayed with the dose adjusted precisely
according to the weed infestation level (Sökefeld et al. 2000; Gerhards & Oebel 2006).
Soukup (2000) noticed possible savings of herbicides in the range of 30 to 50 %, which
would have significant economical and ecological benefits. But there are some difficulties
linked with this idea. First of all, the weed detection in the required time interval for the
treatment is very difficult as well as the setting of a precise dose for the optimal treatment.
Furthermore, it is inexpedient to carry herbicides which are not needed in the field. The type
of weed detection and the proper detection time is the crucial factor for the whole weed
detection system (on-line or off-line), especially for the acceptable delay time of the direct
injection system (Sökefeld et al. 2004).
As far as the information of weed infestation is concerned, from a practical point of view, it
is important to use an exact real approximation with low time and low cost consumption.
One way of mapping is manual weed detection connected with GPS. However, walking
over the whole field on foot is very time consuming and expensive and not possible for
larger fields. According to Soukup (2000), manual classification of weed infestation with the
raster 50 x 36 m in a big field takes time from 0.5 to 2.5 hours per one hectare. Manual
classification is impractical in this regard. Utilization of tractors, harvesters or off-road cars
is preferable to do good weed mapping.
An alternative method is checking just the areas of interest. These areas could be chosen
according to vegetations indexes obtained by remote sensing or by radiometers mounted
onto the machines (Godwin & Miller 2003). Hamouz (2008) describes an algorithm for
Soil Electrical Conductivity as One Possible Tool for Predicting of
Cirsium Arvense Infestation Occurence
147
detection of Cirsium arvense in cereals using an aircraft with high resolution multispectral
camera. He calculated and tested the classification accuracy of various vegetation indices
including NDVI. The best correlation coefficient and also the highest classification accuracy
was reached using DVI index.
Spectral vegetations indexes, calculated as a ratio of particular wave lengths, were described
and used in many studies. These indexes are further compared with other characteristics of
investigated environment like coverage or weed infestation (Scotford & Miller, 2005).
Remote investigation, alternatively for sampling plots establishment, is also used for
example to determine plant nutritious conditions, yield, soil characteristics, organic matter,
and weed infestation, (Cox 2002; Zhang 2002; Selige 2003). The advantage of satellite
pictures, as opposed to sensors and sampling points, is in providing information about the
whole area and detailed overview of spatial variability. Sampling points taking considerably
limits quality of spatial variability description, because of its difficulty and high labour
consumption (Basso et al. 2003).
Oebel and Gerhards (2005, 2006) tested variable herbicide application in cereals and also in
sugar beet, maize and winter rape. They used a manual and automatic real time mapping
system, application maps and economic thresholds.
During the automatic weed classification 69 % of weed plants were recognized in sugar beet
and 72 % in maize. These systems require costly and sophisticated technical and software
equipments.
2. Materials and methods
An intensity of Cirsium arvense (L.) SCOP populations was monitored in a 12 ha
experimental field at Prague-Ruzyně district, Czech Republic (50o05´N, 14 o18´E), where
malting barley (2002) and winter wheat (2003) were grown. The field was tilled by
conventional ploughing technology. The soil type at the study site is Orthic Luvisol,
according to the FAO classification, with different share of skeleton. The soil texture is nonhomogenous with different textures of loam and sandy loam. The altitude of the field is
about 340 m above sea level, the average rainfall is 450 mm per year and the average
temperature 7.8oC. The experimental field slopes from north to south and it merges to a
plane in lower part. In the same direction on the left hand side from the axial fall line a
shallow ground wave is present.
The sampling points were established in the 18 x 18 m raster (Figure 1). Cirsium
arvense occurrence was manually counted at 0.25 m2 squares along the raster in April. The
number of plants per 0.25 m2 was converted to the number of plants per 1 m2. During the
data collection at the sampling points, the number of C. arvense plants which were situated
outside of sampling points was counted as well. Each C. arvense patch was localized by GPS
and registered as well.
The soil variability was described by means of soil electrical conductivity measurement
(Figure 2).
Soil conductivity was measured by using the contact method. Output signal from the sensor
was simultaneously recorded with the GPS position signal. The records were written into
the data set in 5 second intervals. Data were processed using geostatistical methods. In order
to process data accurately and to eliminate measuring errors, several modifications on the
initial ECa values were performed prior to statistical processing and evaluation. The
majority of errors, when measuring ECa, occurred when the machine started a new line.
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Herbicides, Theory and Applications
Fig. 1. Map of sampling points in the experimental field.
Fig. 2. Tractor drawn device for soil conductivity measurement
Soil Electrical Conductivity as One Possible Tool for Predicting of
Cirsium Arvense Infestation Occurence
149
Thus, values that did not describe precisely the factor measured were removed from the
initial data set (for example errors occurring during measurement interruptions on
headlands and turning points of a vehicle). These values were eliminated by trimming the
marginal points recorded. Values larger then the double value of the average were also
excluded from the initial data set. The time series were smoothened during the subsequent
modification. The values of ECa usually show oscillations from the curve. A simple running
average method was applied to smooth the time series of all measurements. The following
formula was used:
1
Yˆt = (Yt − 1 + Yt + Yt + 1 )
3
(1)
where Y are original values at time t.
The number of C. arvense plants from the raster and values of ECa were included into the
evaluation. Spatial dependence of sampled values was described by variogram parameters.
Experimental variograms were calculated and fitted by models. Variogram parameters such
as Nugget (C0), Sill (C0+C) and Range (A0) were calculated. The spatial relation itself is
expressed as a portion of the nugget (C0) in the sill value (C0+C). The infestation map was
completed with patches of C. arvense consequently without geostatistical analysis. Spatial
interpolation of values was carried out by Ordinary Kriging interpolation method. Validity of
interpolation method was confirmed by Cross-Validation method. Estimated values were
collected after this process. The errors between the measured data and the estimates were
analysed. The goodness-of-prediction statistic was used as the criterion for checking and
comparing the map accuracies (G) (Kravchenko 2003).
The obtained ECa map and the C. arvense infestation map were transferred to the raster after
the interpolation process. These two rasters showed a relatively close interval of values
(similar values) which is clear from the map as different types of colors. These raster maps
were merged into a final file in the next step. ECa values from the localized patches were
recorded as well. All these procedures were made in ArcGIS 9.2. This procedure was
necessary to apply because the data of particular measurements were not possible to record
at the same measurement point of the field. It means that the comparison of that two
measured data sets is not possible to achieve without this procedure. Thus, it was possible
to apply statistical evaluation procedure for the data prepared in this way in the next step.
The procedure in data evaluation was the calculation of a correlation coefficient which
showed Pearson product moment correlation between a pair of values.
According to the field survey a herbicide application map was created in the year 2002.
A uniform dose of herbicides was applied in the sprayer mode on – off. The sprayer was
operated manually. The real points of beginning and end of spraying were registered during
the spray job. The herbicides Dicopur M750 (active ingredient MCPA) and Banvel 480S
(active ingredient dicamba) were applied. Four weeks after herbicide application the
observation of herbicide effect was carried out by a field survey. The number of C. arvese
plants in the raster and on patches was counted again Herbicide treatment was done
uniformly throughout the whole field also in the year 2003.
Satellite pictures were taken by QuickBird satellite in August in the year 2002 with a graphics
resolution of 2.8 m. The satellite pictures were taken after main crop harvest. A normalized
difference vegetation index (NDVI) map was created. The following software was used for
data processing: MS Office XP, ArcGIS 9.1 and GS + 5.1.1. The picture was distributed by
QuickBird©Digital GlobeTM, Distribution Eurimage/ ARCDATA PRAHA, s.r.o.
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Herbicides, Theory and Applications
3. Results
On the basis of the field survey and the C. arvense infestation monitoring, two data sets were
collected. The first data set contains the C. arvense densities in the raster, and the second data
set offers information about the occurrence of C. arvense in patches. Descriptive statistics of
data shows Table 1 for the year 2002 a Table 2 for the year 2003.
Variable / Property
Raster
Patches centers
Mean value
5.65
20.42
Median
0.00
16.00
Standard deviation
11.80
19.34
Skew
3.53
2.29
Minimum
0.00
4.00
Maximum
84.00
124.00
Table 1. Descriptive statistics of data set (number of Cirsium arvense per m2) (2002).
Variable / Property
Raster
Patches centers
Mean value
14.86
11.13
Median
8.00
12.00
Standard deviation
20.91
6.49
Skew
1.941
3.38
Minimum
0.00
4.00
Maximum
116.00
80.00
Table 2. Descriptive statistics of data set (number of Cirsium arvense per m2) (2003).
250
Frequency
200
150
100
50
0
0 9 19 28 37 47 56 65 75 84
Number of C. arvense
Raster
Fig. 3. Histogram of values from sampling raster (number of Cirsium arvense per m2) (2002).
Soil Electrical Conductivity as One Possible Tool for Predicting of
Cirsium Arvense Infestation Occurence
151
250
Frequency
200
150
100
50
0
4 15 27 38 50 61
73 84 95 107118
Number of C. arvense
Localized centers
Fig. 4. Histogram of values from random localized patches (number of Cirsium arvense
per m2) (2002).
250
Frequency
200
150
100
50
0
0
12
28
44
60
90
116
Number of C. arvense
Squared grid
Fig. 5. Histogram of values from sampling raster (number of Cirsium arvense per m2) (2003).
250
Frequency
200
150
100
50
0
4
21
38
55
73
90 107
Number of C. arvense
Localized centers
Fig. 6. Histogram of values from random localized patches (number of Cirsium arvense
per m2) (2003).
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Herbicides, Theory and Applications
Each data sets display left side asymmetry according to values of the skew. High skew value
of basic data set from the raster is caused by a considerable high number of points, where no
weed plants were present. Less skew value of second data set shows normal distribution
approximation. Figures 3 and 4 show histograms of values from the raster and the random
localized patches for the year 2002. Figures 5 and 6 show histograms of values from the
raster and the random localized patches for the year 2003.
During the modeling of variogram for number of C. arvense plants, it was not possible to
define exactly the variogram structure. It is evident that the value of sill is equal to nugget
(Table 3).
Variable / Property
Nugget C0
Sill C0+C
Range A0 (m)
R2
RSS
C0/C0+C (%)
Model
Number of C. arvense
Raster (2002)
140
140
0.38
3061
100.00
Pure nugget
Number of C. arvense
Raster (2003)
429
429
0.12
17323
100.00
Pure nugget
Table 3. Parameters of model variogram, (number of Cirsium arvense per m2).
The measurement errors as well as the variability character can influence the values of the
nugget (Heisel et al. 1999; Ilsemann et al. 2001; Lopez-Granados et al. 2002). The higher
value of ratio calculated from the formula where nugget is divided by sill, the lower spatial
dependencies are observed. Pure nugget was observed in this case. According to LopezGranados et al. (2002) and Cambardella & Karlen (1999), the ratio C0/C0+C higher than 75 %
represents spatial independent data. According to the nugget value it was proved that the
spatial dependence of C. arvense infestation was under the value of the distance between two
adjacent sampling points and it could be concluded that the distance between points was
too big.
Fig. 7. Cirsium arvense infestation map (2002).
Soil Electrical Conductivity as One Possible Tool for Predicting of
Cirsium Arvense Infestation Occurence
153
Despite the fact that the variograms structure was not suitable for the interpolation, the
Kriging method was used. An exponential models without nugget was used to describe the
spatial distribution of C. arvense. The variability of the C. arvense distribution is evident
(Figure 7 and 10). The C. arvense infestation showed significant variability and spatial
distribution was found at two areas in the field. The infestation is characterized by
cumulating the weeds (south, west and northeast). The middle part of the field except of
a few patches was not infested with C. arvense.
On the basis of the mentioned results, the variable herbicide application against
C. arvense was carried out. According to the measured data the actual consumption of
herbicide was: 1 l ha-1 of Dicopur M750, 0.2 l ha-1 of Banvel 480S and 210 l ha- 1 of water. The
spray was applied approximately onto 73.8 % of the total field area, which represents
8.86 ha.
Descriptive statistics of the C. arvense infestation recorded about four weeks after herbicides
application is shown in Table 4. The results of application efficiency are shown in Figure 8.
Repeated occurrence of C. arvense was observed at the places with the highest C. arvense
concentration before the herbicides were applied.
Variable / Property
Raster
Patches centers
Mean value
2.21
12.32
Median
0.00
8.00
Standard deviation
4.76
9.61
Skew
3.25
2.73
Minimum
0.00
4.00
Maximum
40.00
60.00
Table 4. Descriptive statistics of data set (four weeks after herbicide application) (number of
Cirsium arvense per m2) (2002).
The NDVI index evaluation was taken as additional information in order to complete and
precise the research (Figure 9). In this case lighter colour represents higher NDVI index and
vice versa. Results of this map showed an exact demarcation of the areas where herbicides
were applied and the area without herbicide treatment. Weeds undergrowth was visible at
the places without herbicide treatment.
We can also derive from Figures 7 and 10 that the spatial distribution of C. arvense plants was
presumably partly dependent on soil properties and generally on site specific conditions.
The descriptive statistics of ECa data set is shown in Table 5.
Variable / Property
ECa
Mean value
24.63
Median
24.30
Standard deviation
6.57
Skew
0.27
Minimum
7.49
Maximum
45.18
Table 5. Descriptive statistics of soil electric conductivity [ECa (mS m-1)] data set.
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Herbicides, Theory and Applications
Fig. 8. Application efficiency map about four weeks after herbicide application.
Fig. 9. Normalized difference vegetation index (NDVI) map.
Fig. 10. Cirsium arvense infestation map (2003).
Soil Electrical Conductivity as One Possible Tool for Predicting of
Cirsium Arvense Infestation Occurence
155
The range of values expressed as the maximum and minimum as well as variation
coefficient illustrates the variability of the individual data sets. Asymmetry from the normal
distribution is expressed as a coefficient of asymmetry. According to Lopez-Granados
(2002), the normality condition is met, if the interval of inclination lies between -2 and 1.
Low inclination values prove that data show a normal distribution.
Figure 11 shows the histograms of ECa values. The picture proves normal distribution of ECa
values.
60
Frequency
50
40
30
20
10
0
7.5 13.1 18.8 24.4 30.1 35.8 41.4
ECa (m S m-1)
Fig. 11. Histogram of soil electric conductivity [ECa (mS m-1)] values.
The exponential model of the variogram of ECa values with nugget was chosen. Parameters
of model variogram were taken off (Table 6).
Variable / Property
Nugget C0
Sill C0+C
Range A0 (m)
R2
RSS
C0/C0+C (%)
Model
ECa
3.91
34.22
39.50
0.96
14.70
11.42
Exponential
Table 6. Parameters of model variogram, [soil electric conductivity ECa (mS m-1) values].
Spatial relation of 11.42 % according to ratio C0/C0+C was observed in this case. According
to variogram parameters, a spatial interpolation of the ECa was done. The ECa map is shown
in Figure 12. G-value of 82.9 % was observed. It is evident from Figure 12 that the variability
of tested data set is relatively high. Higher values of measured factors were indicated in the
south and south-eastern part of the tested field. In relation to slope of the field, the colour
scheme of the picture matches the segmentation of the terrain.
Correlation analysis brought the following results: relatively high correlation R = 0.64 in the
year 2002 and R = 0.91 in the year 2003 were found between ECa and C. arvense infestation
level. The results indicated a statistically significant correlation at a 99% confidence level.
According to the correlation coefficient value a close dependence between C. arvense
infestation and ECa was observed.
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Herbicides, Theory and Applications
Fig. 12. Soil electric conductivity (ECa) map.
4. Discusion
Generally, indirect measuring methods will play an important role in precision farming
system development. High density of the data measured, time accessibility, low cost and
undemanding measurements are the crucial points for the possible application of precision
farming tools into a common practice. Data from the soil sensors could be widely used in
precision agriculture system. Especially soil conductivity measurement is very
advantageous tool for soil properties description (Zhang et al. 2002; Godwin & Miller 2003).
Soil electrical conductivity is especially affected by soil humidity and soil grain contents
(Godwin & Miller 2003). Despite the amount of various sensors used in precision agriculture
system, soil ECa measurement represents a simple and cheap instrument for soil variability
determination in the field.
When excluding climatic conditions influence, the formation of plants cover (arable crops,
weeds, wild plants) is influenced mainly by soil conditions (Soukup et al. 2003). The
agronomical practices have an important role as well. Further discussed results of many
research projects do not explain unambiguously the dependence of the weed infestation on
the soil properties. Dunker & Nordmeyer (2000) reported certain correlations between weed
occurrence and soil properties in their results. Kurstjens & Perdok (2000) show in their
study, that relationships between weed control and good crop growth may not only depend
on weed and crop characteristics but also on soil conditions and tractor-implement settings.
On the other hand Medlin et al. (2001) pointed out that prediction of weed infestations with
environmental properties was specific for each field, year, and species. However, it was
evident from the weed infestation maps that the distribution of C. arvense infestation was
not only random. It was proved that the C. arvense plants distribution could be also affected
by different soil properties. It was also noticeable from the same map that the patches which
underlie beyond the raster are concentrated at the places with previously noticed C. arvense
appearance. C. arvense infestation was not extended in the direction of movement by a soil
cultivator. Similar results reported Hamouz et al. (2004). Donald (1994) on the basis of
literature review describes, that Canada thistle (C. arvense) shoots density varies across
Soil Electrical Conductivity as One Possible Tool for Predicting of
Cirsium Arvense Infestation Occurence
157
patches and often decreases near patch borders, but not as a uniform trend. Canada thistle
shoot biomass exhibited a bell-shape distribution across a 35-m-wide path in Colorado. Also
in our case we recognised circular shape of infestation patches.
In our research, the variability of C. arvense plants distribution was observed, but the
evaluation according to the raster did not bring the exact result. This fact was proved by G
parameter derived from the evaluation of prediction quality. The goodness-of-prediction fit
was observed in this case (G = 0.06 % (2002) and G = - 8.13 % (2003)), monitoring in a raster
was not sufficient for the description of real weed infestation conditions and its intensity.
Negative and close to zero G values indicate that the field average predicts the values at
unsampled locations as accurately (or even better) than the raster sampling estimates
(Kravchenko 2003). Donald (1994) in his work described spatial dependencies for weeds
spreading. However he used a raster with 1.8 m long side which would not be possible for
our experiments. Donald (1994) also used a so called weed infestation average value in the
experimental method which thus tended to use a uniform herbicides application. But this
was in contravention of field observation.
The map of ECa represents reliable output data which can relatively exactly describe the
spatial variability. Division of spatial relations into classes can be found e.g. in LopezGranados et al. (2002) and Cambardella & Karlen (1999) work. Magnitude of the spatial
relation is expressed as a ratio of the nugget divided by the total sill of the variogram. If this
ratio is ≤ 25 % the observed relation is strong spatial relation. Positive G values indicate that
the map obtained by interpolating data from the raster samples is more accurate than the
field average. Jaynes et al. (1994) stated that it is possible to control variable herbicide
application on the basis of soil conductivity measurement. According to the correlation
coefficient value a close dependence between C. arvense infestation and ECa was observed
(significant dependence on the 99% confidence level was observed). This fact proved our
presumption about C. arvense response to soil properties.
On the other hand it is necessary to say that lots of other factors may significantly influence
the final ECa measurement results. Concerning C. arvense infestation in the field in relation
to ECa data measured, it could not be assumed precisely, that higher values of ECa will be
observed explicitly where higher density of C. arvense is present. ECa measurement does not
totally substitute further soil survey. However, it may provide important data for the
decision making processes, when applying the precision agriculture principle. The results
indicate sufficient density of sampling points and suitably chosen evaluation methods. Map
of ECa represents a valuable outcome.
5. Acknowledgements
This research was supported by the Ministry of Education, Youth and Sports of the Czech
Republic, Project No. MSM 604 6070905, by the Ministry of Agriculture, Project No.
MZE 0002700604 and by the Project FP7 SP1 Cooperation Grant No. 211386
6. References
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Cambardella, C.A.; Karlen, D.L. (1999). Spatial analysis of soil fertility parameters. Precision
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Cox, S. (2002). Information technology: The global key to precision agriculture
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Donald W.W. (1994). Geostatistics for mapping weeds, with a Canada Thistle
(Cirsium arvense) patch as a case study. Weed. Sci., Vol. 42, No. 4, 648-657,
ISSN 0043-1745
Dunker, M.; Nordmeyer, H. (2000). Reasons for the distribution of weed species on arable
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9
Herbicides in the Soil Environment:
Linkage Between Bioavailability
and Microbial Ecology
M. Celina Zabaloy1, Graciela P. Zanini1, Virginia Bianchinotti1,
Marisa A. Gomez1 and Jay L. Garland2
1Universidad
Nacional del Sur
2Dynamac Corp.
1Argentina
2United States
1. Introduction
Modern agriculture relies heavily on herbicides for the control of weeds in crops and
pastures to maximize yields and economical benefits to sustain an increasing world
population. The introduction of herbicide-resistant traits in several crops, such as
glyphosate-resistant (GR) soybean, maize and canola, has further increased herbicide
consumption worldwide (Cerdeira & Duke, 2006). United States consumed roughly 200
million kg in 2001, with glyphosate representing 20 % of the total. Glyphosate is,
undoubtedly, the most used herbicide worldwide (Woodburn, 2000). In Argentina, where
GR soybean accounts for almost 90 % of planted soybean, it was estimated that 160 million l
of glyphosate were used with this crop in 2004, representing 37 % of the total herbicide
consumed in agriculture (Altieri & Pengue, 2006; Pengue, 2004).
The environmental fate of herbicides is a matter of recent concern given that only a small
fraction of the chemicals reach the target organisms (Pimentel, 1995), leading to potential
impacts of residual herbicides in soil and water have on human, animal and crop health.
Bunce (1993) wrote in 1993 ”It is useful to keep in mind the concept that a pollutant is a
substance in the wrong place, at the wrong time, or in the wrong amount”. While herbicides
are very important to agriculture, under certain circumstances they may act as pollutants
that can deteriorate soils, ground waters and surface waters. While most herbicides are not
intentionally applied onto soil, they can enter the soil environment from 1) direct
interception of spray by the soil surface during early season or post-harvest applications, 2)
runoff of the herbicide from vegetation and 3) leaching from dead plant material. The
herbicide concentration may vary from a few μg to mg per kg soil, as most of the applied
chemical is retained within the top 5 cm of soil. This chapter will present aspects of the
behavior of herbicides in soils, focusing on soil retention and microbial degradation as main
factors controlling persistence. The potential impact of herbicides on non-target soil
microbes, including their processes and interactions, will be also discussed.
Adsorption to soil is of critical importance for the regulation of herbicide persistence and
mobility throughout the environment because sorption processes control the amount of
162
Herbicides, Theory and Applications
herbicide present in the soil solution. These processes are dependent on several factors
related to soil characteristics such as mineral composition, organic matter content, soil
solution chemistry, and chemical characteristics of the herbicide. Soil-bound herbicide or
residues are temporarily inactivated, which prevents harmful effects on soil biota but also
makes them less bioavailable for microbial degradation because most microbes may not
be able to utilize herbicides in the sorbed state (Ainsworth et al., 1993). Soil biochemical
and biological processes are critical for ecosystems functioning, as microbes have key
roles in organic matter transformations, nutrient cycling and degradation of organic
pollutants, including pesticides (Beck et al., 2005). Biological degradation mediated by
microbial enzymes is the main route for pesticides detoxification in soils (van Eerd et al.,
2003). Most isolated herbicide-degrading microorganisms belong to bacterial species, but
fungi are also well-known for their capacity to degrade complex substrates, and may be
more important than present isolation approaches have suggested (Smith & Collins, 2007).
Differential toxicity of herbicides to soil microorganisms may alter community structure,
including potential increases in plant or animal pathogens. Herbicides may also cause
changes in microbial community function and concomitant impacts on soil health and
ecosystem processes. Even though functions may appear unaltered, due to species
redundancy in soil, the extinction of resistant species may compromise the continuity of
such processes.
The enormous variety of herbicides commercially available today makes it impossible to
review all of them. Thus, this work will focus on some of the herbicides most used in the
(semiarid) Pampa region of Argentina and worldwide (i.e., glyphosate, 2,4
dichlorophenoxyacetic acid, metsulfuron-methyl), based on our own research data.
2. Factors influencing the fate of herbicides in soil
2.1 Physicochemical interactions with soil
Soil is one of the main regulators of herbicide mobility in the environment. Many chemical
and biological processes that determine the retention or transport of herbicides take place on
the soil surface. These processes include adsorption phenomena, chemical degradation, and
biological degradation. While all these processes are interrelated, occurring in parallel
(Cheng, 1990), it is important to first understand adsorption since it regulates the
bioavailability of herbicides in the environment, i.e. the ability to be used by
microorganisms and thus be biodegraded (Laor et al., 1996; Boesten, 1993; Martins &
Mermoud, 1998). Adsorption determines the quantity of herbicide that is retained on the soil
surface and therefore is one of the primary processes that affect the transport of these
compounds in soils. Thus to relate bioavailability and microbial ecology it is helpful to
understand this primary process. Soils are complex assemblies of solids, liquids, and gases.
A typical mineral soil contains 50% solid material (45% mineral and 5 % organic matter) and
50% pore space. The mineral particles in the soil are distributed into three sizes: sand, silt,
and clay. Between the solid components of soil is space forming pores that plays a major
role in movement of water, solutes and air. The adsorption processes depend fundamentally
on the composition and properties of the solid component as well as the physicochemical
characteristics of the herbicide. The solid component is formed mainly by primary and
secondary minerals and by organic matter. These materials provide the specific sites for
herbicide adsorption. Their properties and behavior have been treated extensively (Dixon &
Weed, 1990; Greenland & Hayes, 1978).
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
163
Important characteristics of herbicides include: structure of the compound (including
functional groups), water solubility, vapor pressure, octanol-water partitioning constant
(Kow), and acidity. Table 1 shows the structures and some physicochemical properties of
glyphosate, 2,4–D and metsulfuron-methyl.
The distribution of an herbicide in the soil depends on partitioning between the soil solution
and the solid phase (Figure 1). The chemical is partitioned between the soil solution and the
solid phase. The proper term for this process is adsorption equilibrium, which can be
written to describe the interaction between any herbicide and any soil component as
follows:
S+H(aq) U SH
(1)
Where S represents a surface site of soil, H(aq) the herbicide in soil solution and SH the
herbicide attached to the surface site. Surface sites where the herbicide can be adsorbed are
numerous and varied in soils. These sites are provided by soil minerals (clays, Fe and Mn
oxides, etc) as well as by organic matter. Equation (1) gives an idea of the general process
involving adsorption, but it does not specify the mechanism by which it occurs, which are
varied in the complex soil system (formation of surface complexes, electrostatic interactions,
hydrophobic interactions, ion exchange, etc.).
Soil solid
phase
Herbicide
(H)
air
water
Soil solid
phase (S)
Adsorption
+
S
H (aq)
SH
Fig. 1. Distribution of an herbicide in soil
Defining the bioavailability of an herbicide requires an understanding of the strength of its
1) interaction with a particular soil and 2) concentration of herbicide in the soil solution. This
can be known by using adsorption isotherms. An adsorption isotherm shows the
relationship between the herbicides concentration in the soil solution (C, correspond to
H(aq) in Equation (1) and the amount adsorbed (q, correspond to SH in Equation (1)) at
constant temperature and after equilibrium was reached (Stumm, 1992). As an example,
Figure 2 shows adsorption isotherms of the herbicide metsulfuron methyl (MM) on different
soils of the semiarid pampean region of Argentina (Zanini et al., 2009). Although isotherms
with 30 different soils were measured in that study, the figure presents the results for three
164
Herbicides, Theory and Applications
selected soils. These soils are characterized by having rather similar specific surface areas
(SSA) and clay contents (% clay), but rather different total organic carbon (TOC) content.
The physical and chemical characteristics of the 30 soils are shown in Table 2.
Chemical
Structure
Herbicide
Water
Solubility
Log
Kow
Vapour
Pressure
(Pa)
3.3
548 mg
L-1 (pH 5)
2.79 g
L-1 (pH 7)
213 g
L-1 (pH9,
20°C)
1.8
(pH 5)
0.018
(pH 7)
0.0002
(pH9,
25°C)
1.1x10-10
2.3 1.157 wt%
5.3 in water
10.9 at 25°C
-4.1
Negligible
4.8 mg L-1
(20°C3.2
nonionised,
est.)
3.2
1x10-5
(20°C)
OMe
O
O
Metsulfuron
Methyl (MM)
OMe
O
N
S
HN
C
HN
N
N
O
Me
O
Glyphosate
(Gly)
pKa
OH
P
H
N
CH2
CH2
COOH
OH
O
2,4(Dichlorophenoxy)
acetic acid
(2,4-D)
CH2
COOH
Cl
Cl
Table 1. Structure and some physicochemical properties of the selected herbicides (Roberts,
1998).
As stressed by Sparks (2003), isotherms are only descriptions of macroscopic data and do
not definitively prove a reaction mechanism. Mechanisms must be gleaned from molecular
investigations, e.g. the use of spectroscopic techniques. However, the fit of experimental
data with theoretical and/or empirical equations for adsorption isotherms is very useful in
determining some parameters that provide information on the strength of soil-herbicide
interaction, which will give an idea of the bioavailability of the herbicide in a particular soil.
There are several adsorption isotherms equations applied to soils and sediments (Haws et
al., 2006; Hinz, 2001). In this chapter, only the simplest and most widely applied equations
are discussed.
2.1.1 Linear equation
The linear, or partitioning equation is expressed as (Pateiro-Moure et al., 2009; Cooke et al.,
2004):
q = K dC
(2)
where Kd is the partition coefficient and q and C as defined above. The parameter Kd
provides a measure of the ratio of the amount of material adsorbed to the amount in
solution. The higher the value of Kd, the greater the affinity of the herbicide for the surface,
resulting in lower bioavailability. The problem with the application of this equation is that
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
165
linear behavior of the system in the range of concentrations of interest must be proved. If
experimental data do not show a linear response in all the concentration range, the use of Kd
values obtained from linear regression will cause over- or underestimation of the true
behavior in the non-linear ranges. Calculating Kd with only a pair of values (C, q) may not be
very useful to evaluate bioavailability across a range of environmentally relevant
concentrations. It is recommended to perform an adsorption isotherm in the range of
concentrations of interest, to test for linearity. Since adsorption of hydrophobic organic
pollutants has been shown to be well correlated with the organic carbon content of soil and
relatively independent of other soil properties, Kd is sometimes expressed on the basis of
TOC (Laor et al., 1996):
KOC =
Kd
0.01TOC
(3)
where TOC is expressed in % units.
Most experimental data do not respond to the linear equation; the most common models
that describe non-linear adsorption isotherms are the Freundlich equation and the Langmuir
equation.
-1
q (mg kg )
25
20
15
10
5
0
0
10
20
30
C (mg l-1)
40
50
Fig. 2. Binding isotherms at pH=6 for samples with different TOC%. 4.02% (empty squares),
2.18% (filled circles), 0.98% (filled triangles). From Zanini et al. (2009).
2.1.2 Freundlich equation
The Freundlich equation is perhaps the most widely applied model in environmental soil
chemistry to describe nonlinear sorption behavior (Valverde-García et al., 1998; Kibe et al.,
2000). It is an empirical adsorption model (Stumm, 1992; Sparks, 1986) and it can be written as:
q = K f C 1/n
(4)
Where, Kf is the distribution coefficient and n is a correction factor. The lines of Figure 2
have been drawn according to the Freundlich equation. The fitting parameters are present in
Table 2 and discussed below. It is important to note that when n = 1 Equation (4) becomes
Equation (2) and Kf = Kd. In addition, when C is equal to unity the distribution coefficient
gives the amount adsorbed at that concentration.
While researchers have often used the Kf and 1/n parameters to make conclusions
concerning mechanisms of adsorption, and have interpreted multiple slopes from
166
Herbicides, Theory and Applications
Freundlich isotherms as evidence of different binding sites, such interpretations are
speculative (Sparks, 2003). This is especially true in very complex and heterogeneous
systems such as those formed by soil particles. For these systems, fitting of experimental
data with isotherm equations should only be used for comparative purposes and to give
some interpretation of the shape of the isotherms. Comparison of parameters should be
performed with caution. It is necessary to be sure that the Kf values present the same units.
The best way to avoid mistakes is to compare different sets of experimental data made
under the same conditions and with isotherms performed in the same units of
concentration. As in the case of the linear equation, parameters derived from the Freundlich
equation should not be used to predict for behavior outside of the range of experimental
data.
2.1.3 Langmuir equation
This model has been employed in many fields to describe sorption on colloidal surfaces
(Zanini et al., 2006; Xi et al., 2010). The Langmuir adsorption equation can be written as:
q=
K LC b
1 + K LC
(5)
Where KL is a constant related to the binding strength, b is the maximum amount of
herbicide that can be adsorbed (monolayer coverage) and q and C were defined previously.
This equation has several assumptions that Langmuir (1918) made in its development. Most
of these assumptions are not valid for the heterogeneous surface found in soils. However,
many researchers used this model to describe adsorption on soils (Gimsing et al., 2007;
Ketelsen & Meyer-Windel, 1999). As with Kf above, KL is useful for comparative purposes
but they do not provide information on reaction mechanisms. Some researchers fit the
experimental data with both Langmuir and Freundlich equations to compare
methodological approaches (Campbell & Davies, 1995; Martínez-Villegas et al., 2004).
2.2 Isotherm parameters and soil properties
In order to understand the bioavailability of an herbicide it is important to know the factors
that affect its adsorption on soil. A good approach is to perform adsorption isotherms under
different experimental conditions, and then relate the parameters of the isotherm to the soil
properties. This will be demonstrated for a series of data on MM adsorption on the 30
different soils of the semiarid pampean region of Argentina listed in Table 2. As indicated
above, the Freundlich equation was applied to this set of data. Table 2 shows the parameters
Kf and n for all soils. All these soils are subject to similar farming practices (no till and
production of the same kind of crops), thus the quality of the soil organic matter is expected
to be similar, and the adsorptive differences among soils should be mainly given by
differences in TOC. In most soils 1/n is lower than 1 and thus their isotherms are L shaped
(Hunter, 2002) (Table 2). This kind of shape was also found by Pusino et al. (2003) for the
adsorption of primisulfuron on soils, suggesting that the affinity of surface sites for MM is
decreasing as the surface is becoming populated with MM. It may also suggest a decrease in
vacant adsorption sites as MM concentration increases.
It is necessary to be careful when Kf values are compared. If the values of 1/n for the
different soils are equal or similar, Kf values can be directly compared, and large Kf mean a
strong herbicide-soil interaction. However, if the values of 1/n are rather different the
comparison is not straightforward.
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
167
Values of Kf and 1/n were used to calculate the adsorption of MM at different equilibrium
concentration for the 30 analyzed soils. From these calculations, plots relating adsorbed
amounts with a given soil property can be constructed. For example, Figure 3 a shows the
adsorbed amount at equilibrium concentration of 10 mg l-1 as a function of TOC. A positive
and significant relationship between q and TOC is observed in the Figure. Although not
shown here, this positive and significant relationship was found for all the studied
concentrations (10, 20, 30 and 40 mg l-1). The results show that TOC is a very important
factor that affects MM adsorption in the entire range of MM concentrations investigated.
This is known for other herbicides (Kah & Brown, 2006; Weber et al., 2002). However,
Cramer et al. (1993) found no clear relationship between adsortion of metsulfuron methyl
and soil organic matter in Colorado soils, and the adsorbed amount showed only a weak
correlation with organic matter content.
Soils
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
TOC %
0.98
1.28
1.29
1.40
1.43
1.44
1.58
1.76
1.82
1.88
1.91
1.94
2.06
2.07
2.10
2.18
2.46
2.50
2.56
2.59
2.75
2.88
2.93
3.07
3.10
3.34
3.91
4.02
4.62
4.85
Sand % Clay % SSA m2 g-1
53.7
28.4
8.3
64.1
25.3
3.4
51.9
38.9
12.0
48.5
33.9
5.2
56.5
28.2
4.5
57.4
33.4
4.9
54.5
33.4
5.4
44.7
41.8
7.3
45.8
39.8
8.4
43.7
44.2
7.9
50.3
41.8
4.6
42.7
39.4
4.6
47.2
39.2
6.1
44.0
38.3
5.8
46.4
38.9
4.8
52.7
28.2
4.6
52.2
35.9
3.7
42.5
36.7
10.6
30.7
49.7
7.7
32.6
44.0
5.6
36.1
40.9
5.6
43.0
35.4
5.2
31.2
48.6
5.2
47.2
33.7
4.3
45.3
33.9
4.4
50.4
30.6
9.0
46.5
31.2
5.5
52.0
28.6
6.1
61.4
25.3
4.0
44.3
32.8
6.0
pH
7.50
5.94
6.51
6.05
6.90
6.05
6.51
6.19
6.55
6.47
6.04
6.46
6.77
6.30
6.51
6.90
6.14
6.58
6.59
6.08
5.80
6.44
7.80
6.36
7.10
6.51
6.10
6.65
5.86
8.03
Kf
0.16 (0.01)a
0.24 (0.04)
0.22 (0.03)
0.54 (0.08)
0.24 (0.09)
0.61 (0.06)
0.22 (0.08)
0.78 (0.12)
0.36 (0.07)
0.74 (0.16)
0.96 (0.29)
0.54 (0.08)
0.20 (0.07)
0.53 (0.13)
0.31 (0.07)
0.78 (0.07)
0.76 (0.27)
0.60 (0.12)
1.18 (0.12)
0.91 (0.12)
0.84 (0.21)
0.56 (0.10)
0.36 (0.11)
1.07 (0.25)
0.61 (0.14)
0.85 (0.16)
1.10 (0.32)
0.96 (0.05)
0.80 (0.15)
1.35 (0.22)
Values within brackets correspond to standard error.
Table 2. Selected physical and chemical properties of the studied soils.
1/n
0.95 (0.03)a
0.91 (0.05)
0.98 (0.04)
0.74 (0.05)
1.02 (0.10)
0.70 (0.03)
0.86 (0.11)
0.55 (0.05)
0.86 (0.05)
0.68 (0.07)
0.40 (0.09)
0.74 (0.05)
1.02 (0.10)
0.88 (0.08)
0.85 (0.07)
0.69 (0.07)
0.77 (0.10)
0.98 (0.06)
0.55 (0.06)
0.69 (0.04)
0.65 (0.08)
0.92 (0.06)
0.80 (0.09)
0.67 (0.07)
0.69 (0.07)
0.89 (0.06)
0.79 (0.09)
0.83 (0.02)
0.93 (0.06)
0.77 (0.05)
R2
0.99
0.99
0.99
0.95
0.96
0.98
0.94
0.97
0.98
0.96
0.86
0.97
0.97
0.98
0.97
0.98
0.94
0.99
0.93
0.91
0.97
0.98
0.96
0.96
0.98
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0.99
0.99
0.98
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Herbicides, Theory and Applications
In order to investigate the effects of soil inorganic compounds on the adsorption of MM, the
adsorbed amount was also plotted as a function of clay percent (Figure 3 b). There is no
significant correlation indicating that inorganic compounds are not important on
adsorption. The lack of interaction with inorganic compounds is not always the case for the
adsorption of sulfonylureas. Pusino et al. (2003), for example, reported that inorganic solids
such as amorphous Fe oxides and Al3+ and Fe3+ exchanged montmorillonites were active in
adsorbing primsulfuron. The absence of important amounts of Fe oxides and smectites
exchanged with trivalent cations in the studied soils (Blanco & Stoops, 1993) might explain
the weak effect that inorganic components have on the adsorption of MM.
The above discussion highlights the variable behavior of MM among soils. These differences
may result from variation in the properties of the inorganic compound, organic matter, or
other soil properties such as pH. Another important factor to take into account is pH,
especially if the herbicide has acid or basic groups. Figure 4 shows the adsorption isotherms
of MM on soil at pH 4, 6 and 8. MM adsorption decreases as the pH increases, in agreement
with the general trend observed for sulfonylureas (Hay, 1990). This figure shows that
changes in pH can affect the adsorption of MM. This behavior is usually explained in terms
of charge development at the surface of soil particles and speciation of the herbicide in
aqueous solutions as a function of pH (Berglöf et al., 2003). Since the surface charge of soil
particles becomes more negative as the pH increases, the adsorption of the negatively
charged MM species becomes less favored by increasing pH as a consequence of
electrostatic repulsion. In addition, although the adsorption of the neutral MM species
should not be affected by electrostatics, its concentration decreases with increasing pH, also
causing less favorable adsorption with higher pH.
q (mg kg-1)
15
y = 2.74x - 0.02
2
R = 0.75
12
9
6
3
0
1
2
TOC (%)
3
4
5
-1
q (mg kg )
15
y = -0.17x + 12.72
2
R = 0.11
12
9
6
3
(b)
0
20
30
Clay (%)
40
50
Fig. 3. (a) q (at 20 mg l-1 equilibrium concentration) as a function of TOC % for data at
pH=6.(b) q (at 20 mg l-1 equilibrium concentration) as a function of the clay content for data
at pH=6.
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
169
-1
q (mg kg )
12
8
4
0
0
10
20
C ( mg l-1)
30
40
50
Fig. 4. Binding isotherms at (filled circle) pH=4, (empty square) pH=6, (filled triangle) pH=8.
Lines have been drawn according to the Freundlich isotherm. From Zanini et al. (2009).
Some of the parameters obtained from adsorption isotherms are useful for an indirect
estimation of the mobility of herbicides in soils. This can be obtained from the groundwater
ubiquity score, GUS (Gustafson, 1989) defined as:
GUS = log t1/2 (4 − log KOC )
(6)
where GUS is a dimensionless index, t1/2 is the herbicide half-life in soil and KOC was
defined previously (Equation 3). According to Oliveira Jr. et al. (2001) herbicides with GUS <
1.8 are ranked as non-leachers, those with GUS > 2.8 are leachers, whereas those with 1.8 <
GUS < 2.8 are considered transitional. It must be remarked that t1/2 values should be
measured for the specific soil under study because it may change greatly from soil to soil
(Juhler et al., 2008; Bedmar et al., 2006).
In summary, it can be stated that adsorption depends on the physicochemical characteristics of
the herbicide and the particular soil properties. In order to understand the processes that affect
the bioavailability of an herbicide it is necessary to perform adsorption isotherms with the soils
under study. Since adsorption and bioavailability change greatly from one soil to another,
literature data can help to understand the general behavior of an herbicide, but they cannot
give specific information about the behavior on a particular soil. Another important conclusion
is that the mobility of an herbicide cannot be assessed only by knowing its physicochemical
data. It is also very important to consider the presence of microorganisms in the soil system, as
they can significantly affect the value of t1/2 in Equation 6.
2.3 Spatial distribution of microbial populations
As discussed earlier, soil is characterized by the heterogeneity in physicochemical and
structural characteristics that provide many different micro-habitats for microbial life. The
distribution of soil microorganisms varies both horizontally and vertically and from the
micro site (few millimeters) to the regional (kilometers) scale. The abundance and diversity
of most soil organisms are highest in the top 0-10 cm of soil and decline with depth in
parallel with organic matter contents, the source of energy, nutrients and carbon (C) for the
vast majority of soil microorganisms. Most microorganisms are located surrounding the
water layer attached to soil particles within micro-aggregates. Pallud et al. (2004) estimated
that soil bacteria occupy only 0.1 mm3 of the 500 mm3 of pores in 1 cm3 of soil. Moreover,
different physiological groups present at the same density in soil might have significantly
different microscale spatial distributions (e.g., forming clumps of cells in a few ”hot spots”
versus evenly spread out across soil particle surfaces).
Biodegradation of herbicides constitutes a clear example of the importance of understanding
the spatial distribution of soil microorganisms. Spatial variability in both glyphosate
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Herbicides, Theory and Applications
mineralization and general soil microbial characteristics, was observed even across small areas
(decimeter scale) within a single field in two Norwegian sandy loam soils (Stenrød et al., 2006),
reflecting the importance of soil physicochemical parameters controlled by surface
topography. Similarly, Vieuble-Gonod et al. (2005) reported that potential for 2,4–D
mineralization was heterogeneous from field to microhabitats. High mineralization potential
was not distributed randomly in the soil, but rather as systematic hot spots organized at
centimeter scales (Vieuble-Gonod et al., 2005). Most pesticides may represent an occasional
source of C and nutrients for soil microorganisms, so they can be completely dissipated from
the soil environment by either a single microbial species or the joint action of a microbial
consortium. In the later case, the degradation pathway in soil involves the cooperative activity
of several strains that possess enzymes that catalyze different degradation steps. This
cooperation is only possible with intimate contact between microbial cells and their substrates,
as metabolites resulting from one step of the pathway may act as substrate for a different
strain. Moreover, the bacterial distribution at the microscale may facilitate spreading of
degradative genes located in plasmids or transposons (McGowan et al., 1998; DiGiovanni et
al., 1996). Pallud et al. (2004) found that for low abundances of 2,4 D degraders, there was
strong spatial isolation within the degraders populations, with less than 2 cells per colonized
patch. 2,4–D amendment caused an increase in degrader abundance and concurrent spreading
of degraders, reducing the distance between colonized patches, although the number of cells
per patch remained low (< 28). They argued that the spatial spreading of bacteria was an
ecological strategy that increased the probability of encountering the substrate (2,4–D), and
proposed that this was achieved either through active cell movement (chemotaxis) or
degradative plasmids transfer to indigenous microbial populations (Pallud et al., 2004).
The zone of soil directly influenced by the presence of plant roots, known as rhizosphere, is
of particular importance. Plant roots act on microbes essentially through the input of a wide
variety of organic compounds (e.g., sugars, amino acids, cellulose, proteins, phenolic acids),
known as rhizodeposition, and by providing a surface for attachment, creating an
environment that can greatly differ from the surrounding bulk soil. As a consequence,
higher microbial biomass and activities are found in the rizosphere as opposed to bulk soil.
Several studies have reported that rhizosphere enhances biodegradation of
chlorophenoxyacetic acids (Shaw & Burns, 2004; 2005; Merini et al., 2007), metsulfuronmethyl (Ghani & Wardle, 2001) and atrazine (Piutti et al., 2002). Biodegradation pathways
and strategies will be discussed in the following section.
2.4 Biodegradation: co-metabolism vs. growth-linked metabolism
Biodegradation is the enzyme-mediated transformation of a xenobiotic by living microbial
cells. In soil systems, biodegradation is a fundamental attenuation process for pesticides and
is controlled by biotic factors (i.e. microbial activity) and a number of physicochemical
processes such as sorption and desorption, diffusion, and dissolution (Chen et al., 2009).
Pesticide degradation by microorganisms that are capable of using the chemical as a source
of C and energy for growth, is called mineralization. This metabolic strategy results in the
complete dissipation of the chemical and its conversion to CO2, water and inorganic
elements. In this case, the biomass of the degrading population increases at the expense of
the substrate. The rate of change in herbicide concentration in the medium follows the
dynamic of the expanding microbial population, i.e., as the herbicide concentration
decreases in the solution, growth of the microbial population reaches a plateau at a high cell
density. Conversely, the partial transformation of an herbicide by microorganisms that gains
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
171
no C or nutrients and energy, is called co-metabolism. In most cases, co-metabolism of
herbicides involves microbial growth at the expense of a co-substrate that provides C and
energy, but the pesticide in itself does not support microbial proliferation. The biomass of
the herbicide degrading microbial population and the concomitant rate of herbicide
degradation is not affected by the herbicide concentration in solution. Even though an
herbicide may be partially transformed by co-metabolism, intermediate metabolites may be
completely degraded by other microorganisms in soil.
2.4.1 Metabolic pathway of 2,4–D
One of the most studied herbicide degradation pathways is that of 2,4–D, which can be readily
used as a C and energy source by environmental microorganisms. Numerous 2,4–D degrading
bacteria have been isolated and characterized (Tiedje et al., 1969; Don & Pemberton, 1981;
Kamagata et al., 1997; Muller et al., 2001). Most of these strains are members of genera
belonging to the β and γ subdivisions of the class Proteobacteria and were isolated from 2,4–D
treated environments (Kamagata et al., 1997; Lee et al., 2005). These β and γ subgroups carry tfd
genes homologous to the canonical genes found in Cupriavidus necator JMP134 (Lerch et al.,
2007), the model organism for 2,4–D degradation studies (Figure 5). These genes are located on
conjugative plasmids like pJP4 which carries tfdABCDEF (Don & Pemberton, 1981). On this
plasmid, tfdA encodes a 2,4-D/α-ketoglutarate dioxygenase, which transforms 2,4–D into 2,4dichlorophenol (DCP), while tfdB encodes a dichlorophenol hydroxylase that transforms DCP
in 3,5-dichlorocatechol. The tfdCDEF operon encodes enzymes involved in the ortho-cleavage
of the aromatic ring and subsequent reactions (Fukumori & Hausinger, 1993a;b; Vallaeys et al.,
1996). Zabaloy et al. (unpublished results) recovered several Cupriavidus-like isolates from an
agricultural soil in Argentina, able to grow with up to 1.1 mM herbicide as sole C source with
complete primary degradation in < 72 h. These isolates harbored tfdA and tfdB genes similar to
the canonical degradation genes described by Vallaeys et al. (1996), as determined by PCR and
restriction fragment length polymorphism (RFLP). Recently, isolation of 2,4–D degrading
bacteria from pristine environments has unveiled the existence of other degradative genes,
namely the cadRABKC operon, which are responsible for 2,4–D catabolism in slow-growing
Proteobacteria (Kitagawa et al., 2002).
Considerably less information is available regarding 2,4–D degradation by fungi. Donnelly
et al. (1993) reported that the basidiomycete Phanerochaete chrysosporium was able to degrade
2,4–D when provided with external nitrogen sources. Vroumsia et al. (2005) screened the
ability of ninety strains of filamentous fungi to degrade the herbicide in liquid media,
finding that 2,4–D was less accessible to degradation than its metabolite DCP, although both
compounds were inefficiently used. The kinetics studies performed on the most efficient
strains revealed a one-day lag phase before 2,4–D degradation and no lag phase for DCP.
2,4-D application to agricultural soils triggers specific degradation pathways in existing
degrading bacterial populations (Baelum et al., 2006; 2008). Degradation of 2,4–D in soil
initially occurs at low rates, as the specific degrading population increases in size. During
that 1-3 day period, which corresponds to the lag phase of degraders, 2,4–D degradation
probably proceeds by co-metabolism in soil (Vieublé-Gonod et al., 2006; Lerch et al., 2009).
Zabaloy et al., 2010 examined aerobic degradation of 2,4-D in soil microcosms treated with
environmentally-relevant level (ERL, 5 mg kg-1 soil) and high level (HL, 50 mg kg-1 soil) of
2,4-D after 3 and 14 days of incubation, using the BD Oxygen Biosensor System (BDOBS) .
The use of 2,4-D as sole source of C and energy (50 mg l-1) was initially retarded (> 40 h at
day 3) and was maximal 2 weeks after treatment (Figure 6). They argued that
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Herbicides, Theory and Applications
e
Fig. 5. Metabolic pathway of 2,4-D/α-ketoglutarate dioxygenase acid in Cupriavidus necator
JMP134. Adapted from Caspi et al. (2010).
between day 3 and 14 a shift in dominant degrader populations might have occurred in the
HL, as opposed to the ERL microcosms, and the increase in use of 2,4-D was reflecting the
activity of specific degraders that were favoured by the high dose.
2.4.2 Metabolic pathways of glyphosate
Microbial degradation of glyphosate has been extensively explored and several degrading
bacteria, belonging to Arthrobacteriaceae, Bacillaceae, Rhodobacteriaceae, Alcaligenaceae,
Pseudomonaceae, Enterobacteriaceae and Rizhobiaceae, have been isolated and
characterized (Kononova & Nesmeyanova, 2002). Most degrading isolates posses the
capability to use glyphosate as a source of P, once extracellular inorganic phosphate
becomes limiting in the environment (McGrath et al., 1997). Bacterial degradation of
glyphosate follows either of two metabolic pathways. For example, a C–P lyase catalyzes the
breakdown of the C–P bond in Pseudomonas sp. PG2982, releasing inorganic phosphate (Pi)
and sarcosine, which is subsequentially mineralized to CO2 and NH4+ (Kishore & Jacob,
1987). Glyphosate dehydrogenase catalyzes the conversion of glyphosate to
aminomethylphosphonic acid (AMPA) and glioxylate as primary metabolites in Geobacillus
caldoxylosilyticus T20, and a C–P lyase releases Pi from AMPA afterwards (Obojska et al.,
2002). Although bacteria are considered as the main biological degrader of glyphosate in
soils, fungi also may be important (Singh &Walker, 2006). Krzyko-Lupicka & Orlik (1997)
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
173
Fig. 6. Fluorescence curve (i.e., oxygen consumption) in BDODS plate with 2,4-D as sole
source of C and energy, in 2,4-D-acclimated soil slurries after 14 days of incubation.
Microcosms received 5 and 50 mg kg-1 soil of 2,4-D (ERL and HL). NRFU= normalized
relative fluorescence units. From Zabaloy et al., 2010.
reported that the diversity of species isolated from soil diminished in media containing
glyphosate, with a predominance of strains of Mucor, Fusarium and Trichoderma. Almost all
the tolerant species isolated grew well when glyphosate was used as the unique source of P,
but only a few were able to grow on it as the sole C source. Glyphosate also served as a
nitrogen source for a Penicillium chyrsogenum strain isolated from soil (Lipok et al., 2003) and
as C source for indigenous yeasts isolated from treated and untreated soils (Romero et al.,
2004). Two yeast species were identified as active biodegraders (Yarrowia lipolitica and
Candida krusei) but failed to uptake the herbicide when phosphate was present, suggesting
that glyphosate was important for C and P nutrition in the yeasts (Romero et al., 2004).
Glyphosate degradation in soil is predominantly a co-metabolic process, as it is not used as a
C and energy source by the vast majority of microorganisms (Forlani et al., 1999; Singh &
Walker, 2006). As opposed to degradation in pure-culture experiments, glyphosate
degradation in soil occurs without a lag phase, further suggesting a co-metabolic process as
enzymes were present in soil before the application of the herbicide (Borggaard & Gimsing,
2008). Moreover, no adaptation to glyphosate degradation has been observed in soils with
long histories of herbicide treatment (Gimsing et al., 2004). Lancaster et al. (2009) reported
that the total amount of 14CO2 evolved from glyphosate was reduced with repeated
herbicide applications compared to a single application, which proved that biodegradation
was not enhanced (i.e., no evidence of accelerated degradation) and was probably the result
of a co-metabolic process. It is not well-known which metabolic pathway prevails in soils
(Borggaard & Gimsing, 2008) although most isolated bacteria (Liu et al., 1991; Kishore &
Jacob, 1987) and fungi (Sailaja & Satyaprasad, 2006) possess the sarcosine pathway. Even
though AMPA is the main metabolite detected in soil, this could be attributed to the rapid
mineralization of sarcosine and the persitance of AMPA in the environment.
2.4.3 Biodegradation of metsulfuron-methyl
Many studies have focused on the environmental fate and behavior of metsulfuron-methyl,
but research on microbial degradation is still scarce. Zanardini et al. (2002) isolated a
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Herbicides, Theory and Applications
Pseudomonas strain that degraded metsulfuron through co-metabolism and Boschin et al.
(2003) studied the degradation pathway in the common soil fungus Aspergillus niger. Yu et
al. (2005) isolated a Curvularia sp. capable of using the herbicide as a sole source of C and
energy and studied several features of herbicide degradation in pure culture and in soils.
Vázquez et al. (2008) isolated several filamentous fungi able to grow with metsulfuron as
sole source of C and energy. Only Penicillium and Trichoderma strains were able to complete
their life cycle in metsulfuron-containing medium. Trichoderma strains showed the best
capacity to grow using the herbicide and were selected to perform tolerance assays; all could
grow from spores in minimal medium containing metsulfuron and two showed heavy
sporulation with increasing concentrations (up 1 × 10-2 ppm) (Vázquez et al., 2009). He et al.
(2007) inoculated wheat rhizosphere with a highly effective metsulfuron-degrading
Penicillium sp., previously isolated from treated soil, reporting that the inoculation enhanced
the degradation of the target herbicide. Regardless of the pure-culture experiments that
showed microbial degradation of metsulfuron methyl, limited mineralization of this
herbicide in soil has been reported (Pons & Barriuso, 1998; Andersen et al., 2001). Ghani &
Wardle (2001) studied 14C-labeled metsulfuron-methyl in soil-plant microcosms and
reported that 42% of the applied metsulfuron was respired or incorporated into microbes in
the planted treatment while 36% was used in the unplanted system by day 131. They argued
that greater utilization of metsulfuron in the planted microcosm would have been
influenced largely by a greater microbial biomass in that treatment. Despite the positive
rhizosphere effect on herbicide mineralization, more than 50% was still present in soil even
four months after an application at recommended rates.
3. Approaches to link bioavailability and biodegradation
Bioavailability is influenced by a variety of factors, including physical characteristics of the
sorbent (e.g., particle shapes, sizes, and internal porosities), chemical properties of the
sorbates and sorbents, and biological factors (e.g., microbial density and degradative
capacity). Generally, sorbed compounds are assumed to be less accessible to attached or
suspended microorganisms, which preferentially or exclusively utilize herbicides in the
aqueous phase. In this view, herbicide is available for biodegradation only after desorption,
followed by diffusion into solution. The sorbed fraction remains protected from microbial
attack as a result of: 1) physical sequestration of the herbicide in the organo-chemical matrix,
2) chemical stabilization in the sorbent surface, and/or 3) reduction of aqueous-phase
concentrations to levels that do not sustain microbial growth (Ainsworth et al., 1993; Lerch
et al., 2009). However, some other investigations revealed that silica-sorbed 2,4–D (Park et
al., 2001) and soil-sorbed atrazine (Park et al., 2003) can be directly utilized by degrading
bacteria. Park et al. (2001) proposed two plausible explanations for the observed enhanced
bioavailability of silica-sorbed herbicide: 1) attached biomass is able to access adjacent
elevated concentrations of herbicide before complete dilution in the liquid phase; 2) attached
cells are capable of higher metabolic rates. Similarly, soil organic matter is implicated in
sorption processes and therefore, affects the availability of herbicides to degrading microbes
(Benoit et al., 1999). This section will briefly present recent research approaches that have
been successfully used to link bioavailability and degradation of herbicides.
Benoit et al. (1999) studied the degradation of 14C ring-labeled 2,4–D and two chlorophenols,
adsorbed on different organic materials (wood chips, straw, lignin, humic acids) and
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
175
aluminum oxide in soil incubations. They observed that mineralization of these compounds,
when incubated in direct contact with soil, varied greatly according to the nature of the
sorbent, but was generally higher in more humified organic matter (humic acid) than in less
transformed organic matter (wood, lignin and straw). However, separation of chemicalsorbent associations from soil during incubation in polyamide bags with non-decomposed
and composted straw showed higher mineralization levels than in direct touch with soil for
all compounds, despite slower mineralization rates. They proposed that straw-associated
microorganisms actively degraded 2,4–D and chlorophenols. Schnürer et al. (2006) tested the
effect of surface sorption on the bioavailability of glyphosate by adding goethite to an
organic soil, and using respirometric and attenuated total reflectance Fourier transform
(ATR-FTIR) spectroscopy approaches. Addition of goethite reduced the negative effects of
glyphosate on microbial respiration, as surface sorption reduced toxic effects of the
herbicide or its metabolites. However, ATR-FTIR data showed that sorbed herbicide was
bioavailable and was degraded despite the reduction in soil respiration in the presence of
glyphosate. Hermosín et al. (2006) evaluated the bioavailability of organoclay-based
formulations of 2,4–D for bacterial degradation in pure culture and leaching potential in soil
columns. They observed that the rate of mineralization of 14C-2,4–D from the organoclay
complexes was related to the rate of release from the complexes, suggesting that desorption
into the aqueous phase was the limiting step for biodegradation. The organoclay-based
formulations reduced the leaching losses of 2,4–D in soil columns, and the amount of
herbicide leached was considerably less than the amounts of 2,4–D mineralized. They
concluded that these formulations slowly released 2,4-D, reducing risk of leaching losses in
soil, while maintaining accessibility for bacterial degradation. Sørensen et al. (2006) studied
sorption and biodegradation of 14C-labeled glyphosate and the phenoxyacid herbicide 4chloro-2-methylphenoxy-acetic acid (MCPA) in soil and subsurface samples from a sandy
agricultural site and a clay rich till in Denmark. These authors observed that MCPA sorbed
to a minor extent and was mineralized rapidly in most samples, except in the deepest layers
at both sites, and no relation was found between sorption and mineralization for this
herbicide. Interestingly, the highest extent of mineralization of MCPA occurred in the top
soil which coincided with the largest sorption and lowest desorption. Conversely, samples
which showed higher sorption and low desorption exhibited no or reduced mineralization
of glyphosate indicating a limited glyphosate bioavailability. Lerch et al. (2009) assessed the
link between bioavailability and mineralization of 13C-2,4–D over a 6-month study, by using
stable isotope probing (SIP) coupled to fatty acid methyl ester (FAME) to study degrader
populations. These authors reported that the proportion of readily available (water
extracted) as well as potentially available (solvent extracted) herbicide residues decreased
rapidly to less than 1.2 % of the initial amount added to soil at day 8, which corresponded to
the period of highest biodegradation activity. From day 8 onwards, labelled C-2,4–D was
present in the form of non-extractable residues (NER), which nontheless were
biodegradable. The 13C-2,4–D enriched FAME profiles during this period of incubation were
similar to those of the populations degrading 2,4–D when it was still available. They
proposed that either the degradation of NER was due to the activity of the same specific
degraders involved in degradation of available 2,4–D, limited by desorption of 13C-2,4–D in
the soil solution, or that specific degraders were present in a dormant state and/or their
fatty acids were being recycled by cells from the same taxonomical group. Overall, these
studies show that while adsorption-desorption phenomenons affect bioavailability, there is
evidence that sorbed herbicides may be accessible for biodegradation.
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Herbicides, Theory and Applications
The above discussion has practical implications, when predicting the potential in situ
biodegradation of a certain herbicide. In the field, additional factors other than presence of
potential degraders and bioavailability must be considered, including the 1) presence of
other contaminants that can compete for adsorption sites and for access to microbial
enzymes (Haws et al., 2006); 2) availability of nutrients and co-factors necessary for
degraders growth and activity; 3) intrinsic environmental factors (e.g., temperature, oxygen
concentration, surface charge, water availability, pH, etc.). The presence and nature of crop
residues should also be considered, as they can have great impact on the bioavailability of
herbicides in the agroecosystem, helping reduce hazardous effects on soil and water
resources (Benoit et al., 1999).
4. How to assess the impact of herbicide exposure on soil microbial
communities
Although the desorption of an herbicide from soil particles into the aqueous phase facilitates
its biodegradation, the bioavailable fraction is also a potential risk for non-degrading
microbial populations. Microbial-mediated processes in soils are of critical importance to
ecosystem functions, including transformation of organic matter, nutrient release and
degradation of xenobiotics. Therefore, an active soil microbial population is considered a
key component of good soil quality (Parkin et al., 1996; Pell et al., 2006). Several biological
parameters have been used to assess soil quality and health as affected by agricultural
practices (Anderson, 2003; Benedetti & Dilly, 2006). Microbes are expected to be more
effective indicators than physical and chemical parameters as they are able to respond
immediately to environmental changes (Nannipieri et al., 2002).
The effects of pesticides on the microbiota can be assessed at the whole community-level
(e.g., respiration, enzyme activities, biomass, total bacteria counts, etc.) or at sub-community
level (i.e., specific physiological or phylogenetic groups). The use of molecular tools has
greatly improved the ability to detect pesticide-induced changes, as they allow better
resolution of the microbial community structure. The recommended approach for assessing
the effects of pesticides on microbial communities is the simultaneous measurement of
multiple ecological, structural and functional end points in soil microcosms or terrestrial
model ecosystems, rather than reliance on a single assay (Nannipieri et al., 2002; Burrows &
Edwards, 2004; Joergensen & Emmerling, 2006). It should be noted that there is little value
in assessing the effects of unrealistically high herbicide concentrations in agricultural soils,
as there is no reason to expect that those levels would be reached under normal agricultural
use. This section is not intended to be an extensive literature review, but rather show the
considerable variation in response among soil microbial communities and the diversity of
parameters available to assess potential negative impacts of herbicides on the microbiota.
4.1 Microbial respiration
Besides being a generally accepted measure of total soil microbial activity, respiration has
been used as a sensitive indicator of pesticide and heavy metal toxicity (e.g. Anderson
(2003); Yao et al. (2006)). Zabaloy & Gómez (2008) observed that metsulfuron methyl at 100
μg kg-1 soil depressed cumulative respiration (measured as evolved CO2 at the end of the 6
weeks incubation) in a Typic Haplustoll [TH] soil while it had no effect in a Petrocalcic
Paleustoll [PP] soil, even at a dose of 10 mg kg-1 soil. Similar results have been reported by
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
177
Dinelli et al. (1998) and Accinelli et al. (2002) in soils amended with low doses of
sulfonylurea (triasulfuron, primisulfuron methyl and rimsulfuron). Zabaloy & Gómez (2008)
proposed that the lower tolerance of the microbial community of TH soil was the result of
low adsorption and degradation of herbicide due to higher pH in TH soil (7.4) compared to
PP (6.1) (Figure 7). Phytotoxic effects of metsulfuron have been reported in soils with high
pH (Walker et al., 1989). Higher degradation of metsulfuron methyl in acidic soils compared
to alkaline soils is due to the combined actions of chemical hydrolysis and microorganisms
(Pons & Barriuso, 1998; Andersen et al., 2001). No mineralization of either metsulfuron
methyl or tribenuron methyl was observed in soils of pH > 8, unless the compounds have
been pre-hydrolyzed (Andersen et al., 2001). Several studies reported that the effects of
glyphosate and 2,4–D on microbial respiration at low rates, equivalent to agronomic doses,
are negligible (e.g. Wardle & Parkinson (1990); Busse et al. (2001); Zabaloy & Gómez (2008)).
Fig. 7. Effect of two rates of metsulfuron methyl on cumulative CO2 evolution of Typic
Haplustoll (a) and Petrocalcic Paleustoll (b) soils. Symbols: (filled squares) 0.01 mg a.i. kg-1
air-dried soil; (gray diamonds) 0.1 mg a.i. kg-1 air-dried soil; (empty triangle) control
(distilled water). Error bars indicate standard deviation. Error bars not shown were smaller
than the symbols. From Zabaloy & Gómez (2008)
4.2 Enzyme activities
Many studies have shown that enzyme activities are sensitive enough to detect the effects of
soil pollutants, including heavy metals (Avidano et al., 2005), insecticides (Yao et al., 2006)
and herbicides (Sannino & Gianfreda, 2001). Dehydrogenases exist as an integral part of
intact cells and represent the oxidative activities of soil microbes, whereas fluorescein
diacetate (FDA) hydrolysis can be catalyzed by intracellular and extracellular lipases,
esterases and proteases produced by microorganisms (Shaw & Burns, 2006). Both are wellestablished methods to measure the microbial mineralizing capacity in soil and are suitable
to assess broad-spectrum biological activity in the short-term (Nannipieri et al., 2002).
Zabaloy et al. (2008) reported that metsulfuron-methyl and 2,4-D had transient, relatively
small (<25% change from control) effects on soil enzyme activities within two weeks after
herbicide addition. While both herbicides induced an early reduction in FDA, 2,4–D also
stimulated DHA in the different soils analyzed. In contrast, glyphosate caused a significant
reduction (50 %) of intracellular dehydrogenase activity, suggesting a strong influence on
bacterial metabolism (Zabaloy et al., 2008). Metsulfuron-methyl at comparable doses
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inhibited urease, amylase and protease activities in loamy sand and clay loam soils (Ismail
et al., 1998). There is general agreement on the lack of significant effects of agricultural rates
of metsulfuron (Dinelli et al., 1998; Accinelli et al., 2002) and 2,4–D (Frioni, 1981;Wardle &
Parkinson, 1990) on different enzymes. Variable effects of glyphosate and glufosinate on
soil enzymatic activities have been reported. In general, literature reports mainly
stimulatory effects of glyphosate on enzyme activities for doses within a range of 2-200 mg
a.i. kg-1 soil (Sannino & Gianfreda, 2001; Accinelli et al., 2002; Araújo et al., 2003; Lupwayi et
al., 2007).
4.3 Microbial biomass and abundance
The number and biomass of microorganisms are basic properties of ecological studies, and
which can be related to parameters describing microbial activity and soil health (Bölter et al.,
2006). Substrate-induce respiration is a commonly-used, sensitive parameter for the
observation of pollutant impacts on soil microorganisms (Brohon et al., 2001). Under
standardized conditions, the metabolism of glucose added in excess is limited by the amount
of active aerobic microbes in soil. Initially, there is no microbial growth and the respiratory
response is proportional to glucose-responsive microbial biomass already present in soil
(Höper, 2006). The glucose-responsive and more active part of the microbial community,
determined by the SIR biomass, is more sensitive to pollutants than the total microbial
biomass, as measured biochemically (Höper, 2006; Chander et al., 2001; Zabaloy et al., 2008).
The number of physiological groups of bacteria has also proved to be useful to measure
structural changes in soil due to several anthropogenic factors. Glyphosate is an
organophosphonate that can be used as a source of P, C or N by either gram-positive or
gram-negative bacteria (van Eerd et al., 2003). Accordingly, increases in bacterial abundance
and biomass (Zabaloy et al., 2008) and fungal counts (Araújo et al., 2003; Ratcliff et al., 2006)
after glyphosate doses comparable to field rates have been observed. Supporting the
hypothesis of a bacterial role in glyphosate dissipation, Gimsing et al. (2004) found a high
correlation between glyphosate mineralization rates and Pseudomonas spp. counts in five
different Danish soils. Moreover, two soils with high glyphosate mineralization rates also
showed high CFU counts (Gimsing et al., 2004). Conversely, low rates of 2,4–D (< 10 mg kg-1
soil) have no effects on heterotrophic bacteria counts (Ka et al., 1995; Merini et al., 2007;
Zabaloy et al., 2010). The abundance of cellulose degraders and Azotobater were reported to
decrease with 2,4–D treatment (Frioni, 1981), although the dose used was several times
higher than the expected concentration in soil after a field rate application.
4.4 Microbial community structure
Community structure could be defined as the abundance and proportion of distinct
phylogenetic and functional groups. Functional groups are defined by the substrates used for
energy metabolism (Pankhurst et al., 1996). Community-level end points may not be sensitive
enough to detect minor shifts in microbial community structure, due to the inherent functional
redundancy that is recognized to exist in soil microbial communities. The disappearance of a
certain member of the microbial community as a result of herbicide (or other pollutant)
exposure may eliminate key ecosystem functions and/or impair the ability of the microbial
community to respond to other environmental perturbations (i.e., reducing resilience).
Physiological, biochemical or genetic profiling methods give insight of such potential shifts at
the subcommunity level. Popular methods include community-level physiological profiles
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
179
(CLPP), phospholipids fatty acid analysis (PLFA), and various DNA fingerprint techniques
(e.g. denaturing or thermal gradient gel electrophoresis [DGGE/TGGE], terminal restriction
fragment length polymorphism [T-RFLP]). These and other methods have been summarized
in the excellent reviews by Torsvik et al. (1996), Preston-Mafham et al. (2002), Lynch et al.
(2004), Kirk et al. (2004), Ogram et al. (2007) and Garland et al. (2007).
Unintended consequences of herbicide applications may be the reduction of sensitive
populations and/or stimulation of a certain microbial group with or without detriment to
co-existing microbial populations that may compete for available resources. Several
investigations that used culture-independent methods reported only slight, short-lived
effects of field levels of glyphosate (Weaver et al., 2007; Accinelli et al., 2007) and 2,4–D
(Chinalia & Killham, 2006; Macur et al., 2007; Vieublé-Gonod et al., 2006) on microbial
communities. No major changes in community structure, assessed by CLPP and PLFA,
occurred with application of field rate concentrations of glyphosate in soils from two pine
plantations in California (Ratcliff et al., 2006). Both higher abundance of PLFA biomarkers of
gram-negative bacteria (Weaver et al., 2007; Lancaster et al., 2009) and fungal to bacterial
biomass ratios (Powell et al., 2009) have been reported in glyphosate-treated soils. In a
recent study, Zabaloy et al. (2009) reported minor effects of glyphosate on sole C sources
utilization with BDOBS. However, the number of 16S ribosomal gene copies, as determined
by quantitative PCR (qPCR), increased in a glyphosate-treated soil relative to the control
soil, although T-RFLP analysis did not show consistent selective enrichment for specific
bacteria species (i.e., no specific phylotype dominated in glyphosate-treated microcosms)
(Zabaloy et al., 2009). Due to the enormous diversity of soil microbial communities, more
relevant results could be obtained by targeting specific functional groups that are more
likely to be directly affected by the herbicide or indirectly by herbicide-induced changes in
the soil environment. Interestingly, no effects of glyphosate on denitrifying bacteria nor
rhizosphere fungal abundances (qPCR) or communities composition (T-RFLP) have been
reported (Hart et al., 2009). Glyphosate was reported to inhibit growth of mycorrhizal fungi
and could favor the growth of less desirable fungal species, like soil-borne pathogens (Johal
& Huber, 2009). Krzysko-Lupicka & Sudol (2008) observed a bias towards the selection of
autochtonous Fusarium strains after treatment with the herbicide. This could be related with
changes in microbial populations that alter the equilibrium and ultimately lead to
diminishing biodiversity, as the postulated decrease in the (pseudomonad) antagonists of
fungal pathogens observed by Kremer & Means (2009) in long-term field studies.
The most noticeable effect of 2,4–D on community structure is the enrichment of degrading
populations that use this compound as a source of C and energy. Zabaloy et al., 2010
reported a persistent 2,4–D degrading population able to use the herbicide as C and energy
source in an agricultural soil where herbicide applications had ceased 2 years before the
study. The number of degraders increased immediately after treatment of soil microcosms
with 2,4– D and remained high until the end of the incubation, while culturable aerobic
heterotrophic bacteria counts were not affected by the herbicide (Figure 8). The addition of
succinate (S) as an alternative source of C to soil microcosms did not stimulate degrader
population, which confirmed that 2,4-D degradation in this soil was mainly a metabolic
process performed by specific degraders. Similar results have been obtained by a number of
researchers that used a range of herbicide concentrations in different agricultural soils (e.g.
Ka et al. (1995); Merini et al. (2007); Macur et al. (2007); Lerch et al. (2009). One practical
implication of the proliferation of soil microbes able to degrade some herbicides, such as
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foliar-applied chlorophenoxy acids, is that this phenomenon guarantees self-cleaning of
herbicide-impacted agricultural soils, reducing the risk of contamination.
4.5 Pollution-induced community tolerance
The pollution-induced community tolerance (PICT) concept is based on the assumption that
long-term exposure of a community to a given toxicant will lead to a higher tolerance for
this pollutant (Blanck et al., 1988; Blanck, 2002). PICT is tested by collecting intact
communities from polluted and reference sites and exposing these communities to
contaminants under controlled conditions. Increased community tolerance resulting from
the elimination of sensitive species and addition of tolerant species is considered strong
evidence that changes were caused by the pollutant. A fundamental step in the PICT
measurements is the selection of an ecologically relevant parameter as endpoint that reflects
the toxic effects at the community level (Blanck, 2002).
Fig. 8. Effect of combined amendments of 2,4-D and succinate (S) on aerobic heterotrophic
bacteria (AHB) counts (a) and most probable number of 2,4-D degraders (MPN2,4-D) for soil
microcosms sampled after 0, 4 and 33 days of incubation. AHB data are given as means ±S.E
(n=3). MPN2,4-D data are represented as median of three replicates and 95% confidence
intervals. LoD, limit of detection. From Zabaloy et al., 2010.
Herbicides in the Soil Environment: Linkage Between Bioavailability and Microbial Ecology
181
Microbial activity may be affected by soil characteristics as well as other environmental
factors other than contamination. However, increased tolerance to a specific contaminant is
less sensitive to variation in physicochemical variables, and more likely a direct result of
contaminant exposure (Siciliano & Roy, 1999; Gong et al., 2000). The PICT approach has
been used to study effects of chemicals on microbial communities with various methods
such as BiologTM plates (Schmitt et al., 2004), respirometer (Gong et al., 2000) and methane
oxidation assay (Seghers et al., 2003). Zabaloy et al., 2010 used BDOBS to assay
mineralization of coumaric acid as an indication of PICT to 2,4–D in an agricultural and a
forest soil. This study revealed that past field exposure of the agricultural soil to 2,4-D was
enough to develop resistant microbial populations, while the herbicide exerted a more
severe inhibitory effect on coumaric acid use in the pristine forest soil (Figure 9). In a similar
study, Seghers et al. (2003) reported that long-term use of atrazine and metolachlor selected
towards a methanotrophic community more tolerant to the methane oxidation inhibitor 2,4D in an agricultural soil.
Fig. 9. Respiratory index with coumaric acid as C source, in agricultural soil treated with 5
mg kg-1 de 2,4-D (ERL) or untreated (control) and forest soil, exposed to increasing doses of
2,4-D (25-250 mg l-1) in BDOBS. Values represent means ±S.E (n=3); for forest soil is the
average of two samples. From Zabaloy et al., 2010
5. Conclusion
Although desorption has been considered a pre-requisite for biodegradation of soil-bound
herbicides, there is increasing evidence that sorbed compounds may still be degraded by
attached cells. However, there is still considerable work ahead for researchers to understand
the mechanisms and populations intervening in these processes. Integrative approaches are
essential to study physicochemical and biological factors that affect sorption, bioavailability
and biodegradation of herbicides in soil. Development of new molecular methods coupling
function and structure may improve our understanding of the role of microbial populations
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in herbicides degradation and how these compounds affect non-degrading members of the
microbial community. Overall, a number of studies have shown that the herbicides 2,4–D,
metsulfuron methyl and glyphosate at recommended rates have only transient impacts on
soil microbial communities, being glyphosate the one with larger effects, while metsulfuron
methyl may be toxic under certain soil conditions (e.g. high pH).
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10
Application of Mutated Acetolactate
Synthase Genes to Herbicide
Resistance and Plant Improvement
Masanori Shimizu1, Kiyoshi Kawai2, Koichiro Kaku2,
Tsutomu Shimizu2 and Hirokazu Kobayashi3
1School
of Health Promotional Science, Hamamatsu University,
1230 Miyakoda, Hamamatsu 431-2102
2 Life Science Research Institute, Kumiai Chemical Industry Co.,
Ltd., Kakegawa 439-0031
3 Laboratory of Plant Molecular Improvement and Global
COE Program (MEXT), Graduate School of Nutritional and
Environmental Sciences, University of Shizuoka,
52-1 Yada, Suruga, Shizuoka 422-8526
Japan
1. Introduction
Herbicides have been used to enhance the productivity of plants including crops by killing
the weeds which compete with the growth of cultivated plants. They have also been utilized
as a tool to improve plants by means of genetic engineering, whereby transformed plants
containing genes for enzymes which impart tolerance to herbicides are selected. These genes
are designated as “selectable markers” and are utilized for the production of geneticallymodified (GM) plants. Selectable markers used for the selection of plants in which genes of
interest are successfully integrated into the genome of host plants include genes that impart
tolerance to antibiotics or herbicides, the majority of which are derived from bacteria: genes
for neomycin phosphotransferase II (nptII) from Tn5 in Escherichia coli, 5-enoylpyruvate
shikimate-3-phosphate synthase (epsps) from Agrobacterium sp. CP4, phosphinothricine
acetyltransferase (pat, bar for bialaphos resistance) from Streptomyces viridochromogenes, and
aminoglycoside-3”-adenyltransferase (aadA) for spectinomycin resistance from Shigella
flexneri (Hare and Chua, 2002). The safety of genes used for antibiotic resistance is
questionable given the possibility that these genes might be transferred into pathogenic
bacteria that may be converted to antibiotic-resistant strains. A search for appropriate
selectable markers from plants is therefore desirable.
The impact on the environment is another important factor that must be considered, and
efforts need to be made to minimize so-called “genetic pollution” or detrimental effects on
the ecosystem. The transfer of foreign genes into other non-transgenic plants is most reliably
performed via pollen. Apprehension associated with this process is dispelled when
considering the transformation of plastids such as chloroplasts. Since genes in plastids of
most plant species are inherited maternally, they represent genes that are not transferred
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into other plants via pollen. Therefore, the development of methodologies based on the
genetic manipulation of plastid genomes, in addition to that of nuclear genomes where the
engineering has already been established, is necessary for ecological safety. Our efforts have
focused on the use of acetolactate synthase (ALS, EC 2.2.1.6), also referred to as
acetohydroxyacid synthase (AHAS), an enzyme involved in the biosynthesis of branchedchain amino acids in chloroplasts in higher plants. This enzyme is uniquely suited for use in
biotechnology and basic research.
2. ALS and ALS-inhibiting herbicides
ALS is a common enzyme that catalyzes the first step of the biosynthetic pathway of the
branched-chain amino acids valine, leucine and isoleucine. ALS is the primary target site for
at least five structurally distinct classes of herbicides including sulfonylureas (SUs),
imidazolinones (IMs), triazolopyrimidine sulfonamides (TPs), pyrimidinylsalicylates
(pyrimidinylcarboxylates, PCs), and sulfonylaminocarbonyl-triazolinones (Figure 1, see the
chapter written by Sato et al.) (Shimizu et al., 2002). ALS-inhibiting herbicides are widely
used in agriculture given their high weed control efficacy, high crop-weed selectivity, low
use rates and low levels of mammalian toxicity (Sharner & Singh 1997).
Plant ALS genes encoding the catalytic (large) subunits were first isolated from Arabidopsis
and tobacco utilizing the yeast ALS gene as a heterologous hybridization probe (Mazur et
al., 1987). Since then, some plant ALS genes encoding catalytic subunits have been cloned
and characterized (Bernasconi et al., 1995; Fang et al., 1992; Grula et al., 1995; Rutledge et al.,
1991). The plant ALS regulatory (small) subunit has been shown to enhance the catalytic
activity of the large subunit and to confer sensitivity to feedback inhibition by branchedchain amino acids (Lee & Duggleby 2001). Plants and cultured plant cells resistant to SUand IM-type ALS-inhibiting herbicides have been generated using conventional mutation
breeding methods and in vitro cell selection (Hart et al., 1993; Newhouse et al., 1991;
Rajasekaran et al., 1996). ALS genes encoding catalytic subunits have been cloned from some
Fig. 1. Herbicides that inhibit ALS activity. These herbicides can be classified into the three
classes PC, SU and IM. BS, PS and PM belong to the PC class of herbicides, CS and BM to the
SU class of herbicides, and IQ and IP to the IM class of herbicides.
Application of Mutated Acetolactate Synthase Genes to
Herbicide Resistance and Plant Improvement
195
of these plants, and their sequences were found to possess single or double mutations. These
mutated ALS (mALS) genes have been revealed to confer resistance to ALS-inhibiting
herbicides.
3. ALS mutations interfering with herbicide actions
Herbicide-resistant ALS genes are useful not only for the generation of transgenic plants
that express resistance to the corresponding herbicide, but also for introducing foreign traits
into plants as selectable markers. We have isolated a double-mutated ALS gene from rice
cells (OsALS-W548L/S627I) (Figure 2), which confers a high level of resistance to the PC-type
ALS-inhibiting herbicide bispyribac-sodium (BS) (Figure 1), and demonstrated that it could
be used as a selectable marker for generating transgenic rice plants (Kawai et al., 2007a;
Kawai et al., 2007b). We also found that the single amino acid substitution S627I in the ALS
gene (OsALS-S627I) imparts high levels of resistance to the PCs pyrithiobac-sodium (PS) and
pyriminobac (PM). It was postulated that these mALS genes coupled with the PC-type ALSinhibiting herbicides might be promising selectable markers for various plant species.
Indeed, it has been shown that OsALS-W548L/S627I works as an effective selectable marker
gene for the transformation of wheat (Ogawa et al., 2008) and soybean (Tougou et al.,
2009).
Fig. 2. Schematic representation of amino acid mutations conferring resistance to ALSinhibiting herbicides. Amino acid residue numbers shown under the peptide are those of
rice ALS.
Recombinant Arabidopsis mALSs, AtALS-W574L/S653I and -S653I, were expressed in
Escherichia coli cells. These recombinant mALSs exhibited resistance to PCs, and showed
similar sensitivity against herbicides to rice recombinant ALSs with the corresponding
mutations (Table 1) (Kawai et al., 2008). We have shown that these Arabidopsis ALS genes
can also be utilized as selectable markers for the genetic transformation of Arabidopsis
(Kawai et al., 2010). It has been revealed that selection by PCs can clearly distinguish
resistant seedlings from non-resistant seedlings of Arabidopsis at very low concentrations of
herbicide compared with kanamycin selection (Figure 3). The concentrations of PCs
employed for the selection were about 1000-fold lower than that of kanamycin. We
performed in vivo ALS assays in an effort to determine whether the Arabidopsis seedlings,
selected by resistance to PCs, were indeed transformants. Although the in vivo ALS assay
was originally developed for the analysis of ALS-resistant weeds (Gerwick et al., 1993), we
reasoned that the procedure could be applied for the evaluation of transformants. PC-type
ALS-inhibiting herbicide-resistant seedlings showing in vivo ALS activity were further
analyzed to verify integration of the T-DNA region within the genome by PCR. Results
suggested that the assay could reliably be used to evaluate transformation. The advantage of
using mALS genes over other selectable markers is that the in vivo ALS assay confirms both
integration of the mALS gene and expression of the corresponding protein in the selected
plants. Furthermore, the in vivo ALS assay allows for a larger number of samples to be easily
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Herbicides, Theory and Applications
tested at relatively lower costs compared to PCR-based screening methods. Differences in
levels of acetoin accumulation were observed between the independent transgenic lines.
This observation may reflect copy number differences or differential expression of ALS due
to positional effects in the Arabidopsis genome. If so, transgenic plants expressing a high or
desirable level of the gene of interest may be identified at an early stage of transformation.
RS ratio a)
Herbicide b)
AtALS-S653I
OsALS-S627I AtALS-W574L/S653I OsALS-W548L/S627I
CS
4.2
2.4
4,400
200
BM
43
73
>9,100
>14,000
IQ
21
6.8
>56
>45
IP
>14
>10
>14
>10
BS
83
41
>17,000
>16,000
PS
350
200
>2,900
>9,100
PM
3,300
2,500
>8,300
>13,000
RS ratios for mutated ALSs were obtained by calculating the ratio of the I50 value for each mutated
ALS to the I50 value for the wild-type.
b) SUs: CS, chlorsulfuron; BM, bensulfuron-methyl; IMs: IQ, imazaquin; IP, imazapyr; PCs: PM,
pyriminobac; PS, pyrithiobac-sodium; BS, bispyribac-sodium.
a)
Table 1. Degree of resistance of recombinant mALSs to ALS-inhibiting herbicides
Fig. 3. Comparison of screening seedlings of Arabidopsis transgenic with AtALSW574L/S653I in pMLH7133 binary vector (Kawai et al., 2010) encoding nptII by BS or
kanamycin. A, 0.045 ppm BS; B, 50 ppm kanamycin.
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4. Species-specific properties of ALS mutations
As mentioned above, the degrees of resistance of Arabidopsis and rice recombinant ALS
proteins with identical mutations to PCs are very similar. However, the sensitivity of
transgenic Arabidopsis to PCs indicated that the degree of resistance to PCs of
transformants expressing Arabidopsis mALSs was greater than those of transformants
expressing rice mALSs (Figure 4). It is known that plant ALSs have a signal peptide that is
required for translocation of the protein into the chloroplast (Duggleby & Pang, 2000),
although the exact size of the signal peptide remains to be determined experimentally.
Several reports have indicated that the size of the signal peptide ranges between 70 and 85
amino acids (Chang & Duggleby, 1997; Rutledge et al., 1991; Wiersma et al., 1990). If the
cleavage site of the signal peptide is assumed to be at position 85, then the sequence
homology of rice and Arabidopsis ALS is only 23%. Therefore, signal peptide processing
and transport of the protein into the chloroplast may be involved in limiting rice ALS
enzyme activity in Arabidopsis. We also considered another potential reason for the
observed difference in ALS activity. It has been shown that Arabidopsis ALS is composed of
four catalytic subunits and four regulatory subunits (Lee & Duggleby, 2001; McCourt et al.,
2006). Thus, ALS derived from transformants expressing rice ALS will presumably be
chimeric, i.e., composed of both rice and Arabidopsis catalytic subunits. As a result, the
enzyme activity may be reduced compared with that of ALS composed of only Arabidopsis
enzyme. The full-length amino acid sequences of ALSs derived from monocotyledonous and
dicotyledonous plants were clearly divided into two distinct clusters in the phylogenetic
Fig. 4. Comparison of sensitivity to BS of Arabidopsis wild-type and T3 transformants.
Plants, planted in pots (9-cm diameter), were sprayed with 6.3 to 100 µg mL-1
(approximately 14 to 220 µM) BS with an application dose of 6.3 g to 100 g ha-1. The
photograph was taken 2 weeks after spraying. A, wild-type; B, OsALS-W548I/S627I 30-8; C,
AtALS-W574L/S653I 1-3.
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Fig. 5. Phylogenetic analysis with full-length amino acid sequences of ALSs. The NJ-tree
was constructed using the ClustalW program (http://align.genome.jp/). The percentage
indicates the amino acid homology of each plant with rice (Osa). Amino acid sequences of
corn (Zma), wheat (Tae) (lacking the N-terminal region), barley (Hvu) (lacking the Nterminal region), Italian ryegrass (Lmu), Arabidopsis (Ath), tobacco (Nta), cotton (Ghi) and
rapeseed (Bna) were obtained from the GenBank database. Putative amino acid sequences of
ALS from sorghum (Sbi) (lacking the N-terminal region) and soybean (Gma) were identified
through a BLAST search of the JGI database (http://genome.jgi-psf.org/) and that from
tomato (Sly) was identified through a BLAST search of the Tomato SBM
(http://www.kazusa.or.jp/tomato/). The nucleotide sequences of ALS of Japanese lawn
grass (Zja) have been determined by genome walking using a DNA Walking SpeedUp Kit
(Seegeen, Inc., Korea, unpublished data). Lack of the N-terminal region slightly increased
the amino acid homology of sorghum, wheat and barley with rice compared to the complete
ALS protein sequences since the homology in this region was very low.
Fig. 6. Phylogenetic analysis with amino acid sequences of the putative signal peptide
region of ALSs. Seventy amino acid residues from the first methionine of complete ALS
protein sequences were used for the analysis.
Application of Mutated Acetolactate Synthase Genes to
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199
tree, each cluster being highly conserved (Figure 5). The putative signal peptide amino acid
sequences of ALSs were also divided into two clusters in the phylogenetic tree (Figure 6).
These findings suggest it would be best to use rice and Arabidopsis mALS genes for
generating monocotyledonous and dicotyledonous transgenic plants, respectively. Given
differences in the sensitivity to PCs and in the expression level of induced mutant ALSs
between plant species, the preparation of various combinations of mALS genes and
PCswould be an effective strategy in applying this selection system to a broad range of plant
species.
We artificially generated other types of mALS genes of Arabidopsis, which yielded
recombinant ALS proteins with A122V, P197S, W574L, S653N and P197H/R198S mutations.
Recombinant ALS proteins from these genes were prepared as glutathione S-transferasefused proteins, and the sensitivity of the proteins to ALS-inhibiting herbicides were
examined. It was found that the level of resistance of these recombinant ALS proteins to
ALS-inhibiting herbicides varied for the compounds tested (Table 2), while mALS-P197S,
W574L and P197H/R198S proteins showed similar sensitivity to herbicides to that of rice
ALS proteins with the corresponding mutations (Kawai et al., 2008). These results indicated
that some Arabidopsis-mALS genes are useful as selectable marker genes for the genetic
transformation of plants when used together with ALS-inhibiting herbicides to which
mALSs express high resistance.
A122V
P197S
RS ratio a)
W574L
CS
10
300
>8,300
4.3
2,400
BM
190
9,100
>9,100
72
>9,100
IQ
>55
25
>56
>55
1.8
Herbicide b)
S653N
P197H/R198S
IP
>14
3.7
>14
>14
>14
BS
20
5.3
2,800
53
80
PS
1
56
>2,900
68
2
PM
140
13
6,500
700
13
RS ratios for mutated ALSs were obtained by calculating the ratio of the I50 value for each mutated
ALS to the I50 value for the wild-type.
b) SUs: CS, chlorsulfuron; BM, bensulfuron-methyl; IMs: IQ, imazaquin; IP, imazapyr; PCs: PM,
pyriminobac; PS, pyrithiobac-sodium; BS, bispyribac-sodium.
a)
Table 2. Degree of resistance of recombinant Arabidopsis mALSs to ALS-inhibiting
herbicides
5. Nuclear gene-targeting as an ultimate clean technology
More than two decades have passed since the basic technology of plant transformation was
established (Herrera-Estrella et al, 1983). Although a variety of GM crops have been
cultivated world-wide, they have not been fully accepted by consumers, especially in Japan
and Europe, leading to the conclusion that the technology may not satisfy consumers’
desires. Selectable-marker genes in addition to the genes of interest necessary to improve
plant growth and resistance are always required for plant transformation. With respect to
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Herbicides, Theory and Applications
selectable markers, the use of antibiotic-resistant genes may not obviate the possibility of
generating antibiotic-resistant bacteria in the intestines of cattle. Most imported GM crops
are generated with selectable-marker genes derived from microorganisms and promoters
taken from plant pathogens such as cauliflower mosaic virus and Agrobacterium spp., and
are therefore less accepted by consumers and the general public. In an effort to overcome
these problems, strategies for excising selectable-marker genes from transgenic plants have
been developed (Hare & Chua, 2002). Eventually, strategies employing a combination of
selectable markers originating from plants and the use of herbicides harmless to the
environment and humans are worth investigating to shorten the time it takes to create GM
crops compared to technologies employing selectable-marker excision. Another approach to
allay consumer anxiety is the employment of plant-derived DNA sequences including
selectable markers without their excision. When DNA sequences are introduced into plant
species from which they are derived, the transformed plants are designated as “intragenic”
(Nielsen, 2003). Such an approach has been successfully performed with a mALS gene in
Arabidopsis (Ahmad et al., 2009). Furthermore, if we can replace an internal wild-type gene
with its point-mutated gene by gene-targeting, the resultant plants are completely
equivalent to those generated by conventional breeding or mutagenesis. One gene for ALS
has been reported to be present in the genome of Arabidopsis (Endo et al., 2006) or rice
(Endo et al., 2007), and replacement of the internal wild-type gene with a mutated species
which confers herbicide resistance on those plants has been successfully demonstrated.
6. Plastid transformation
Plastid transformation was first achieved in 1988 for the unicellular alga Chlamydomonas
reinhardtii by Boynton et al. (Boynton et al., 1988), and was followed in 1990 by the
transformation of tobacco by Maliga et al (Svab et al., 1990). Genetic engineering approaches
utilizing chloroplasts possess a number of attractive advantages compared with nuclear
transformation, and include: (i) a high level of transgene expression (Daniell et al., 2002), (ii)
delivery of multiple genes in a single transformation event (Daniell & Dhingra, 2002), (iii)
the absence of gene silencing (DeCosa et al., 2001), (iv) the absence of position effects due to
site-specific transgene integration (Daniell et al., 2004), and (v) the absence of pleiotropic
effects given localization of the transgene products inside the chloroplast (Daniell et al.,
2001). These advantages have lead to trials of chloroplast transformation in many plants
such as Arabidopsis (Sikdar et al., 1998), potato (Sidorov et al., 1999), rice (Khan & Maliga,
1999), tomato (Ruf et al., 2001), Lesquerella fendleri (Skarjinskaia et al., 2003), oilseed rape
(Hou et al., 2003), carrot (Kumar S et al., 2004a), cotton (Kumar S et al., 2004b), soybean
(Dufourmantel et al., 2004), lettuce (Lelivelt et al., 2005), and cabbage (Liu et al., 2007). The
successful recovery of genetically-stable transplastomic plants is dependent on the ability to
selectively amplify the plastid genomes, which are quite low in copy number, following
delivery of the genes by particle bombardment. The key factor affecting transformation
efficiency is the choice of selectable marker. There are two types of plastid selectable marker
genes: ‘primary selectable markers’ to be used for direct selection (aadA, nptII and aphA-6 for
aminoglycoside phosphotransferase), and ‘secondary selectable markers’ (bar and epsps) that
are not suitable for direct selection when only a few copies of plastid DNA (ptDNA) have
settled down, but will allow selection when many copies of ptDNA are integrated (Maliga,
2004; Lutz et al., 2007). The ‘primary selective markers’ are of bacterial origin and confer
resistance to an antibiotic: aadA to spectinomycin and streptomycin (Svab and Maliga, 1993;
Application of Mutated Acetolactate Synthase Genes to
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Zoubenko et al., 1994) and neo (Carrer et al., 1993) and aphA-6 (Huang et al., 2002) to
kanamycin. The ‘secondary selective markers’, bar and epsps, are also derived from bacteria
and confer resistance to herbicides such as phosphinothricin (Lutz et al., 2001) and
glyphosate (Ye et al., 2003), respectively. To date, introduction of mALSs to the chloroplast
genome has not been attempted perhaps because ALS was thought to be unsuitable as a
selectable marker, as in the case of bar or epspe (Cao et al., 1992, Ye et al., 2003). We therefore
attempted to utilize mALSs in chloroplast engineering strategies.
7. Clean gene transformation technology for chloroplast engineering
Transformation technologies of nuclear genomes have been developed to eliminate
antibiotic marker genes, an approach referred to as nuclear genome-clean gene
transformation technology (CGTT) (Yoder et al., 1994). Over the past several years,
consumer and environmental organizations have expressed ethical and biosafety concerns
about the use of antibiotic- and herbicide-resistance genes derived from microorganisms
(Miki & McHugh, 2004). This concept has also been applied to chloroplast genetic
engineering, in which antibiotic-resistant genes such as aadA were eliminated from the
chloroplast genome, resulting in marker-free transplastomic plants or replacement with
plant-derived marker genes. To date, four strategies have been developed for the generation
of marker-free transplastomic plants: (i) homology-based excision via direct repeated
regions (Iamtham & Day, 2000); (ii) cotransformation–segregation (Carrer & Maliga, 1995);
(iii) transient co-integration of marker genes (Klaus et al., 2004), and (iv) excision by phage
site-specific recombinases (Corneille et al., 2001). On the other hand, two marker genes
applied to tobacco have been reported to be derived from plants: genes for betaine aldehyde
dehydrogenase (BADH) from spinach (Spinacia oleracea) (Daniell et al., 2001) and feedbackinsensitive anthranilate synthase α-subunit (ASA2) from tobacco (Barone et al., 2009).
However, use of the BADH gene has not been consistently reproduced (Maliga, 2004;
Whitney & Sharwood, 2008).
Use of such technologies prevents the transfer of antibiotic-resistant genes to surrounding
weeds and microorganisms in soil, and to bacteria in animal guts after oral intake.
Integration of foreign genes into the plastid genome strengthens gene containment since
plastids are inherited maternally in many crop plants, avoiding the pollen-mediated spread
of transgenes (Maliga, 1993; Daniell et al., 1998; Scott & Wilkinson, 1999). Homologous
recombination in plastids allows for accurate gene targeting into a well-characterized
genome and elimination of bacterial vector sequences (Svab et al., 1990). High levels of gene
expression have resulted from an increasing number of foreign genes being located in
plastids (McBride et al, 1995; Staub et al., 2000; Kanamoto et al., 2006). Notwithstanding all
of the advantages associated with marker-free technology in chloroplast transformation,
there remains one outstanding problem that should be resolved in the field. GM and nonGM plants must be clearly and easily distinguished from one another. Although PCR-based
methods are the most convenient for ascertaining contamination in bulk samples, they are
unsuitable for checking a single seed or plant in terms of efficiency and use of resources.
The use of herbicides was proposed as an appropriate method to solve this problem,
although the generation of herbicide-resistant plants must be considered. Some reports have
indicated that herbicides which inhibit ALS or acetyl-CoA carboxylase, such as glyphosate
and others, accelerated the generation rate of weeds and crops tolerant to the herbicide
(Preston & Powles, 2002; Shimizu et al., 2002; Tranel & Wright, 2002; Tranel et al., 2007,
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Herbicides, Theory and Applications
Heap, 2010). Employing a rotation supply of some herbicides was proposed as a
countermeasure against the occurrence of herbicide-resistant weeds (Gressel, 1984).
8. Mutated ALS genes as plastid sustainable markers
The employment of some plant-origin genes for herbicide tolerance has solved the problem
and allayed the public's anxiety. We have focused on the use of mALS genes as sustainable
markers. It is well known that ALS imparts herbicide tolerance by mutation at several amino
acid residues (Figure 2). Herbicide-tolerant plants have been reported for rice, tobacco and
Arabidopsis (Chang et al., 1998; Tan et al., 2005; Shimizu et al., 2002; Kawai et al., 2007b;
Okuzaki et al., 2007). Several mutated species of Arabidopsis ALS have been expressed in
Escherichia coli, and their sensitivity to inhibitors was examined (Tables 1 and 2) (Kawai et
al., 2008). These results showed that P197S, W574L, S653I, P197H/R198S and W574L/S653I
were resistant to SUs, IMs, SUs, IMs, and all three types of herbicides, respectively.
However, little is known about the effect of herbicides on the growth of plants with mALSs.
It has recently been reported that mutation of W548L/S627I and G95A in rice ALS imparts
tolerance to all three types of herbicides and pyrimidinylcarboxylate herbicides, respectively
(Kawai et al., 2007b; Okuzaki et al., 2007). We examined whether introduction of mALSs into
the chloroplast genome can be applied to a strategy involving the rotation supply of
different herbicides by characterizing the transplastomic lines with respect to: (i) the
influence of hyper-expression of mALSs on plant growth, (ii) feedback regulation by the
regulatory subunit in vivo, (iii) the dependency of herbicide resistance on each mutation
similarly observed in vitro (Tables 1 and 2) (Kawai et al., 2008; Okuzaki et al., 2007), and (iv)
the availability of multiple combinations of different mutations and herbicides. We have
reported on the introduction of some mALS genes into the chloroplast genome and
examined the sensitivity of transformants to ALS-inhibiting herbicides. The results
indicated that mALS genes are useful as sustainable markers, which function to exclude
non-transformed crops while maintaining transformed plants. These markers have shown
selectable tolerance to different types of herbicide. We have proposed that the rotation
supply of different herbicides can be effective when used with transgenic plants harboring
mALS genes (Shimizu et al., 2008).
The chloroplast transformation vectors pLD201- mALS (Figure 7A), possessing the aadA and
mALS (transit peptide truncated) genes inserted between tobacco sequences rbcL for the
large subunit of ribulose-1,5-bisphosphate carboxylase/oxygensae and accD for homologous
recombination, were introduced by particle bombardment (Figure 7A). The integration of
mALS into the chloroplast genome in regenerated tobacco plants was confirmed by PCR
using the 5 primer sets shown in Figure 7A. Tobacco chloroplast transformation was
performed using pLD-201-mALS harboring G121A, A122V, P197S, P197S/S653I or
W574L/S653I. G121A in Arabidopsis ALS corresponds to G95A in rice (Okuzaki et al., 2007).
The resultant transplastomic plants were maintained on hormone-free Murashige and Skoog
(MS) medium (Figure 7B). It is concluded that the chloroplast genome in these transgenic
plants were almost transplastomic (Figure 7C).
We investigated the involvement of the regulatory subunit in ALS activity. The regulatory
subunit plays a role in feedback regulation by Val, Ile and Leu and in general enzyme
activity (Lee & Duggleby, 2001). The determination of ALS activity in leaves, where
regulatory subunit molecules are present, has been performed in the presence of 1,1cyclopropanedicarboxylic acid, which blocks acetolactate metabolism, resulting in no
Application of Mutated Acetolactate Synthase Genes to
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203
Fig. 7. Transformation of tobacco chloroplast with aadA and mALS. A, Structure of the
chloroplast transformation vector. Prrn-aadA and PpsbA-mALS show the transgenes
introduced into the chloroplast genome. The region located between rbcL and accD may be
integrated into the chloroplast genome by homologous recombination. PCR was performed
to confirm transplastomic integration using the primer sets shown, and the expected sizes of
the PCR products are shown in parentheses. B. Following bombardment, leaf slices were
grown on RMOP (Shimizu et al., 2008) containing 0.5 mg L-1 spectinomycin. A
spectinomycin plate after 6 weeks is shown. Regenerated plants represent candidate
transformants. C. Population of the transformed chloroplast genome. PCR analysis of
different lines of each chloroplast transformant harboring A122V (lanes 1 and 2), G121A
(lanes 3 and 4), P197S (lanes 5 and 6), P197S/S653I (lanes 7 and 8), W574L/S653I (lanes 9
and 10), and wild-type (lanes 11 and 12). PCR reactions were performed using 25 cycles.
The 0.8-kb product represents part of the transgene introduced into the chloroplast genome,
and the 0.6-kb product is derived from endogenous chloroplast genome without a transgene
insert.
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Herbicides, Theory and Applications
feedback regulation. The activity of native ALS from wild-type tobacco in the absence of
ALS-inhibiting herbicides was determined using a colorimetric assay, and yielded a red
color in the samples. The red color changed to a transparent or pale yellow color following
the addition of SU herbicide (0.1 µM BM), PC herbicide (0.1 µM PS), and IM herbicide (5 µM
IP), indicating that these herbicides inhibited ALS activity. This assay was employed for the
evaluation of mALS activity in transplastomic plants (G121A, A122V, P197S and
W574L/S653I). The ALS activity of G121A plants was strongly resistant to PS, weakly
resistant to BM and sensitive to IP (Figure 8), whereas A122V plants were particularly
resistant to IP (Figure 8), and P197S plants were strongly resistant to BM, showed medium
resistance to PS, and were sensitive to IP (Figure 8). The ALS activity of W574L/S653I plants
was strongly resistant to PS, BM and IP (Figure 8). The selectable tolerance of plants
transplastomic with G121A, A122V and W574L/S653I (Figure 9) were similar to those
obtained when using the same recombinant mALSs that only expressed the catalytic subunit
in E. coli, to which endogenous E. coli regulatory subunits, it was concluded, were not
associated (Tables 1 and 2) (Kawai et al., 2008; Okuzaki et al., 2007). Therefore, the
regulatory subunits do not affect the sensitivity of these mALSs to herbicides in
transplastomic plants. On the other hand, the behavior of mALS P197S differed from that of
the aforementioned mutations. The novel tolerance of P197S plants to PC and SU herbicides
was demonstrated with regard to mALS activity in response to herbicides in leaves (Figure
8), whereas mALS P197S expressed in E. coli was resistant to SU but not to PC herbicides
(Table2) (Kawai et al., 2008). This result suggests that the regulatory subunit contributes
towards imparting mALS P197S with resistance to PC herbicides.
Fig. 8. Inhibition of ALS activity with herbicides in plants transplastomic with mALSs. ALS
activity in tobacco transplastomic with mALSs was colorimetrically examined. ALS activity
of tobacco, wild-type and plants transformed with G121A, A122V, P197S, P197S/S653I or
W574L/S653I was determined in the presence of 0.1 µM BM, 0.1 µM PS or 5 µM IP.
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In an effort to investigate the influence of feedback regulation caused by hyper-expression
of the ALS gene, transplastomic plants were grown on medium containing herbicide. We
analyzed herbicide resistance in transplastomic plants harboring four different mALSs.
W574L/S653I-plants showed synergistic tolerance, similar to that observed when the
corresponding mALS gene was introduced into the nuclear genome of rice (Kawai et al.,
2007b). The tolerance of P197S-plants to PC and SU herbicides was also demonstrated
during plant growth (Figure 9). Additionally, two other transplastomic plants (G121A and
A122V) showed sensitivity to herbicides with respect to the activity in leaves (Figure 8) and
during plant growth (Figure 9). Our results provide evidence to suggest that the sensitivity
of mALSs to herbicides in plants is not affected by feedback regulation. The highlyexpressed mALS molecules may not be fully active due to the resultant stoichiometrically
insufficient number of regulatory subunits (Lee & Duggleby, 2001). Therefore, the ALS
activity of transplastomic plants was almost equivalent to that of wild-type plants in the
absence of herbicide.
Fig. 9. Regeneration of transplastomic plants on medium containing ALS-inhibiting
herbicides. Plants transgenic with A122V, G121V, P197S, P197S/S653I or W574L/S653I
were regenerated on RMOP medium (Shimizu et al., 2008) containing 0.5 g L-1
spectinomycin (SP), 0.1 µM BM, 0.1 µM PS or 1 µM IP.
In an effort to confirm that the herbicide-related traits of the transplastomic plants were
inherited by the next generation, T1 seeds, the self-pollinated progeny of the transplastomic
lines, were planted on medium containing the corresponding herbicide or spectinomycin.
Both seed types were able to grow on MS medium (Figure 10). Although wild-type plants
were sensitive to IP and SP, all A122V seeds were uniformly resistant to SP and IP (Figure
10). This study revealed that transplastomic plants with mALSs grow normally on MS
medium without significant differences compared to wild-type plants, indicating that hyperexpression of mALSs does not influence plant growth. These transplastomic plants
containing mALS were able to grow in the presence of the corresponding herbicide,
indicating that mALSs are useful as sustainable markers in the field, and lending support to
proposals that involve the rotation of three or more combinations of herbicide and
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Herbicides, Theory and Applications
transplastomic plants. The advanced technology described here would allow for the efficient
and controlled management of weeds resistant to ALS-inhibiting herbicides.
Fig. 10. Inheritance of herbicide tolerance in the seed progeny of chloroplast transgenic
plant. The T1 seeds transplastomic with PpsbA-A122V (the left in all panels, A122V) and
wild-type (the right in all panels, WT) were germinated on MS medium alone (panel A, MS),
or medium containing 0.5 mg L-1 spectinomycin (panel B, MS+SP) or 1 µM IP (panel C,
MS+IP).
9. Application of mALSs integrated into plastid genomes
Herbicide-resistant weeds have been reported in many countries (Tranel & Wright, 2002;
Tranel et al., 2007, Heap, 2010) including weeds resistant to ALS-inhibiting herbicides. New
technology is required to assist in the management of weeds resistant to these herbicides.
We propose a strategy involving herbicide rotation to overcome the aforementioned
problem. To this end, we have developed transplastomic plants that possess tolerance to PC,
IM and SU/PC. We identified three types of ALS mutations that conferred specific
resistance to the three classes of herbicides used with the transplastomic plants and showed
that G121A, A122V and P197S plants were resistant to PC, IM, and SU/PC herbicides,
respectively (Figure 9). Use of these transplastomic markers in crop plants could allow for
the implementation of a new strategy based on the rotation of three or more combinations of
herbicides. The advanced technology described in this review provides the basis for the
efficient and strict management of weeds resistant to ALS-inhibiting herbicides.
Investigations concerning herbicide resistance have been performed using chloroplast
transformation. For example, the petunia epsps gene was introduced into the tobacco
chloroplast genome and resulted in transplastomic plants resistant to glyphosate (Daniell et
al., 1998). Similarly, the bar gene for phosphinothricin resistance was used to investigate the
resulting plant phenotype (Lutz et al., 2001).
Since this gene is derived from
microorganisms and not plants, it is less suitable for use in CGTT-based approaches.
However, epsps is worthy of consideration in strategies involving herbicide rotation
schemes as described above since epsps is present in higher plants. The glyphosate and
ALS-inhibiting herbicides are thought to be nontoxic to living organisms, except plants and
microorganisms (Peterson & Shama, 2005). Plant-derived epsps might be useful as an
additional tool for use in a herbicide rotation system for the management of herbicideresistant weeds. We have tried to adapt mALSs for use as selectable markers in chloroplast
transformation but have not succeeded to date. As with epsps and bar (Cao et al., 1992, Ye et
al., 2003), mALSs might be unsuitable for use as selectable markers. The technology
Application of Mutated Acetolactate Synthase Genes to
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207
described here may be employed in CGTT-based applications in association with aadA
elimination following transformation.
10. Conclusion
A number of genes have been employed for the generation of genetically-modified crops
possessing tolerance to herbicides in an effort promote crop growth and discourage the
growth of competing plants such as weeds. Herbicide-resistant genes are also invaluable for
use as selectable markers in the genetic transformation of plants. The majority of herbicideresistant genes are derived from soil bacteria such as Agrobacterium and Streptomyces,
organisms which have never been utilized as ingredients in products for human
consumption. With respect to the use of plant-derived genes for herbicide tolerance,
attention may be paid in order to facilitate public awareness and acceptance of the
technologies involved. These genes are also useful in strategies involving intragenic
transformation through homologous recombination to generate plants free from any
exogenous DNA fragments. Our research efforts have focused on ALS. Use of this gene has
several advantages including: (i) a single locus is present in Arabidopsis and rice, thus
allowing for the straightforward implementation of gene targeting strategies, (ii) multiple
classes of herbicides which interfere with different domains of ALS molecules are available,
thereby providing the opportunity to generate plants with selected tolerance so as to reduce
the occurrence of herbicide-resistant weeds in programs employing the rotation supply of
different herbicides, and (iii) availability as a sustainable marker in chloroplast
transformation in addition to a selectable marker for nuclear transformation. We have
introduced the mutations G121A, A122V, P197S, P197H, R198S, W574L, S653I and others
into Arabidopsis ALS and delivered these genes into nuclear and chloroplast genomes of
plants. Use of these nuclear and transplastomic markers in crop plants would facilitate the
implementation of a new strategy based on the rotation of multiple combinations of
herbicides and mALSs to prevent the generation of herbicide-resistant weeds. Furthermore,
the use of mALSs in gene-targeting for nuclear transformation and homologous
recombination in plastid engineering would bring us closer to our goal of an ultimate clean
technology, and allow for the production of GM plants in which only the ALS gene is
mutated without integration of any other external DNA sequences.
11. References
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Ahmad, A., Kaji, I., Murakami, Y., Funato, N., Ogawa, T., Shimizu, M., Niwa, Y. &
Kobayashi, H. (2009). Transformation of Arabidopsis with plant-derived DNA
sequences necessary for selecting transformants and driving an objective gene.
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Barone, P., Zhang, X.H. & Widholm, J.M. (2009). Tobacco plastid transformation using the
feedback-insensitive anthranilate synthase [alpha]-subunit of tobacco (ASA2) as a
new selectable marker. J. Exp. Bot., 60, 3195-3202
Boynton, J.E., Gillham, N.W., Harris, E.H., Hosler, J.P., Johnson, A.M., Jones, A.R., McBride
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11
Transgenic Tall Fescue and Maize with
Resistance to ALS-Inhibiting Herbicides
Hiroko Sato1, Tadashi Takamizo1, Junko Horita2,
Kiyoshi Kawai2, Koichiro Kaku2 and Tsutomu Shimizu2
1National
2Life
Institute of Livestock and Grassland Science
Science Research Institute, Kumiai Chemical Industry Co.
Japan
1. Introduction
Transgenic crops such as maize (Zea mays L.), soybeans (Glycine max L. Merr.), canola (Brassica
napus L.) and cotton (Gossypium hirsutum L.) have been widely used in the field. In 2009,
transgenic crops were cultivated in approximately 134 million hectares in 25 countries, mainly
USA, Brazil, Argentina, India, Canada and China (http://www.isaaa.org). The adoption of
transgenic crops has steadily increased since 1996 because of their many benefits for farmers.
Herbicide resistance is one of the most important agronomic traits conferred onto transgenic
crops. Herbicide-resistant crops comprise 62 percent of all transgenic crops
(http://www.isaaa.org), and are produced by the introduction of herbicide-resistant genes
using genetic transformation. Herbicide resistance can be used as an efficient tool to allow
easier weed management. It facilitates control of weed species and contributes to reducing
costs, labor, and the waste of chemical spray. Herbicide resistance can also facilitate the
selection of transgenic cells from non-transgenic cells as a selectable marker in genetic
transformation.
Acetolactate synthase (ALS)-inhibiting herbicides are widely used around the world. ALSinhibiting herbicide-resistant weeds were first found in kochia (Kochia scoparia L. Shrad)
(Primiani et al., 1990) and prickly lettuce (Lactuca serriola L.) (Mallory-Smith et al., 1990).
Subsequently, plants and cultured cells resistant to ALS-inhibiting herbicides have been
generated using both conventional mutation breeding and somatic cell selection. Since then,
the ALS genes have been cloned and characterized. In most cases, resistance to ALSinhibiting herbicides has been found to be conferred by single or double amino-acid
mutations at a particular position in ALS. Mutated ALS genes can be used not only for the
generation of herbicide-resistant crops, but also as selectable markers.
We are now producing transgenic tall fescue (Festuca arundinacea Schreb.) and maize that are
resistant to ALS-inhibiting herbicides using novel mutated ALS genes. This chapter focuses
on mutated ALS genes and their application to the production of herbicide-resistant crops
and selection of transgenic cells as selectable markers.
1.1 ALS-inhibiting herbicides
ALS (EC 2.2.1.6; also referred to as acetohydroxyacid synthase, AHAS) is the first common
enzyme in the biosynthetic pathway leading to the branched-chain amino acids, isoleucine,
leucine and valine (Fig. 1). It is a highly conserved enzyme in higher plants. ALS moves to
214
Herbicides, Theory and Applications
the chloroplast with the use of a transit peptide. Although ALS functions in plastids, ALS is
a dominant and nuclear gene, and thus follows normal Mendelian inheritance.
Homoserine
Alanine
Serine
Cysteine
Threonine
2-Ketobutyric acid
Methionine
ALS
Pyruvic acid
ALS
Pyruvic acid
Acetohydroxybutyric acid
Acetolactate
Dihydroxymethylvalerate
Dihydroxyisovalerate
Leucine
Isoleucine
Valine
Fig. 1. The biosynthesis pathway of branched-chain amino acids. ALS-inhibiting herbicides
inhibit ALS.
ALS is the target enzyme of at least five structurally distinct classes of herbicides;
pyrimidinylcarboxylates
(PCs),
sulfonylureas
(SUs),
imidazolinones
(IMs),
triazolopyrimidine sulfonamides and sulfonylaminocarbonyltriazolinones (Shimizu et al.,
2002). These herbicides all bind to ALS, but not all at the same attachment points. ALSinhibiting herbicides are widely used around the world and account for about 17.5 % of the
total global herbicide market (Green, 2007). There are more than 50 commercial herbicides
from these five classes of herbicides used for selective weed control. Some representative
ALS-inhibiting herbicides are shown in Fig. 2. These herbicides control an immense variety
of grass and broadleaf weeds.
When we spray plants with these herbicides, plants cannot biosynthesize essential amino
acids due to the inhibition of ALS and they come to die. ALS-inhibiting herbicides are used
for controlling weed species at relatively low application rates and have both foliar and soil
residual activity. Furthermore, ALS does not exist in mammals; thus, ALS-inhibiting
herbicides are thought to be less toxic to mammals.
1.2 Mutated ALS genes confer resistance to ALS-inhibiting herbicides
Resistance to ALS-inhibiting herbicides in plants has in most cases been conferred by either
single or double-mutant amino-acid substitutions at a particular position in ALS. Different
types of mutation have been found to confer resistance to different classes of herbicide
(Table 1).
The most commonly encountered mutations involve the residues of alanine at position 96
(A96), proline at position 171 (P171), tryptophane at position 548 (W548) and serine at
position 627 (S627); Mutations were described using the rice numbering system. The
mutation of the residue of tryptophane 548 substituted with leucine (W548L) was first
isolated together with the mutation of the residue of proline at position 171 substituted with
alanine (P171A) in tobacco (Nicotiana tabacum L.) by selection using SU (Lee et al., 1988).
Subsequently, the mutation has been found in maize (Bernasconi et al., 1995) and canola
215
Transgenic Tall Fescue and Maize with Resistance to ALS-Inhibiting Herbicides
Pyrimidinylcarboxylate herbicides
(PCs)
OCH
N
Sulfonylurea herbicides
(SUs)
3
Cl
CH 3
O
O
N
N
N
N
N
COONa
OCH
COOH
N
SO 2NH C NH
OCH 3
Imidazolinone herbicides
(IMs)
chlorsulfuron
3
N
H
OCH 3
N
COOCH
N
OCH
3
3
O
bispyribac-sodium
COOH
CH 2 SO 2 NH C NH
N
N
OCH 3
bensulfuron-methyl
COONa
N
COOCH 2 CH 3
N
OCH 3
imazapyr
N
CH 3
3
O
SO 2 NH C NH
N
pyrithiobac-sodium
OCH 3
N
O
N
N
N
H
OCH 3
S
OCH
.
OCH 3
N
Cl
H3 C
O
imazaquin
O
OCH 3
pyrazosulfuron-ethyl
N
N
OCH 3
COOH
Cl
N
O
N
SO 2 NH C NH
N
N
OCH
pyriminobac
OCH 3
O
N
3
imazosulfuron
OCH 3
Fig. 2. ALS-inhibiting herbicides.
(Hattori et al., 1995). This mutation confers resistance to different classes of ALS-inhibiting
herbicides, SUs and IMs. At this position, other amino-acid substitutions, W548C and
W548S, have been identified in cotton (Rajasekaran et al., 1996).
A mutation of S627 was first found in IM-resistant Arabidopsis thaliana (Haughn &
Somerville, 1990). In contrast to W548L, this mutation of S627N confers resistance to IM, but
not to SU. The mutation at this position leading to S627A, S627N, S627T and S627F has been
analyzed in Arabidopsis by site-directed mutagenesis (Lee et al. 1999).
Double mutations such as P171A/W548L in tobacco (Lee et al., 1988), P171S/S627N in
Arabidopsis (Hattori et al., 1992) and A96T/P171S in sugar beets (Beta vulgaris L.) (Wright et
al., 1998) have been reported.
Some amino acid substitutions conferring herbicide resistance are well conserved in plant
ALS (Tan et al., 2005). We can artificially develop an herbicide-resistant ALS gene using this
information even if mutations that confer herbicide resistance have not been characterized
in the target plant. When we produce transgenic plants, it is desirable to use transgenes
derived from host plant DNA as much as possible. This will be applicable to the production
of cisgenic plants with public acceptance (Schouten et al., 2006).
1.3 A two-point mutated rice (Oryza sativa L.) ALS gene conferred resistance to a PC
herbicide
Double mutations have been found in the rice ALS gene through cell culture using
bispyribac-sodium (BS), a PC herbicide (Kawai et al., 2007b). Before isolation of the mutated
ALS gene, no paper had reported a mutated ALS gene as conferring resistance to PC
herbicides. The mutations were selected from BS-resistant calli produced spontaneously by
somaclonal variation during tissue culture.
216
Plant species
Zea mays
Beta vulgaris
Arabidopsis thaliana
Arabidopsis thaliana
Arabidopsis thaliana
Arabidopsis thaliana
Arabidopsis thaliana
Nicotiana tabacum
Nicotiana tabacum
Nicotiana tabacum
Beta vulgaris
Brassica napus
Arabidopsis thaliana
Arabidopsis thaliana
Arabidopsis thaliana
Arabidopsis thaliana
Zea mays
Nicotiana tabacum
Brassica napus
Oryza sativa
Gossypium hirsutum
Gossypium hirsutum
Arabidopsis thaliana
Nicotiana tabacum
Arabidopsis thaliana
Arabidopsis thaliana
Zea mays
Arabidopsis thaliana
Zea mays
Oryza sativa
Arabidopsis thaliana
Arabidopsis thaliana
Arabidopsis thaliana
Oryza sativa
Herbicides, Theory and Applications
Mutationa)
Methodb)
Selection agent
A96T
A96T
A96V
M98E
M98I
M98H
P171S
P171Q
P171A
P171S
P171S
P171S
P171 deletion
R173A
R173E
F180R
W548L
W548L
W548L
W548L
W548S
W548C
W548L
W548F
W548S
W548 deletion
S627D
S627N
S627N
S627I
S627T
S627F
S627 deletion
G95A
CMB
SCS
SDM
SDM
SDM
SDM
CMB
SCS
SCS
SCS
SCS
SDM
SDM
SDM
SDM
SDM
CMB
SCS
SCS
SCS
SCS
SCS
SDM
SDM
SDM
SDM
CMB
SCS/SDM
SCS
SCS
SDM
SDM
SDM
SCS
Imidazolinone
Imidazolinone
Sulfonylurea
Sulfonylurea
Sulfonylurea
Sulfonylurea
Sulfonylurea
Imidazolinone
Sulfonylurea
Sulfonylurea
Pyrimidinylcarboxylate
Sulfonylurea
Sulfonylurea
Imidazolinone
Imidazolinone
Imidazolinone
Pyrimidinylcarboxylate
Pyrimidinylcarboxylate
a) Mutations were described using the rice numbering system. Amino acids are described by one letters.
A=alanine; C=cysteine; D=aspartic acid; E=glutamic acid; F=phenylalanine; G=glycine; H=histidine;
I=isoleucine; L=leucine; M=methionine; N=asparagine; P=proline; Q=glutamine; R=arginine; S=serine;
T=threonine; V=valine; W=tryptophane. b) Mutated ALSs were obtained through conventional
mutation breeding (CMB), somatic cell selection (SCS) or site-directed mutagenesis (SDM).
Table 1. Mutations in ALS conferring resistance to ALS-inhibiting herbicides (Adapted from
Kawai et al., 2007b).
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Transgenic Tall Fescue and Maize with Resistance to ALS-Inhibiting Herbicides
The mutations involved W548L and the residue of serine at position 627 being substituted
with isoleucine (S627I). These mutations are a new combination of spontaneous mutations
with a novel substitution at the S627 position. The resistance to BS was extremely high as
compared with those to SUs and IMs. The single mutations of W548L and S627I in ALS
conferred resistance to BS, and the degree of resistance was higher in W548L than in S627I
(Fig. 3A). The resistance to BS among these single-mutated ALSs was shown to be lower
than that of the double-mutated ALS (Fig. 3A). The W548L mutation also conferred
resistance to chlorsulfuron (CS), a SU herbicide, while the S627I mutation conferred no
obvious resistance (Fig. 3B). A comparison of the degree of resistance to CS between the
W548L single mutation and the W548L/S627I double mutation revealed that they shared the
same degree of resistance to CS (Fig. 3B.) Therefore, when it was introduced into an ALS
gene carrying the W548L mutation, the S627I mutation was shown to drastically enhance BS
resistance in particular.
100
100
Wild-type
80
Wild-type
80
S627I
S627I
60
60
W548L
40
40
W548L/S627I
20
20
W548L
W548L/S627I
0
10
0
-9
10
-8
10
-7
10
-6
10
-5
-4
10
10
-9
10
-8
10
-7
10
-6
10
-5
Bispyribac-sodium concentration (M)
Chlorsulfuron concentration (M)
A
B
-4
10
Fig. 3. Sensitivity of recombinant rice ALSs to bispyribac-sodium (A) and chlorsulfuron (B)
(Adapted from Kawai et al., 2007b).
A two-point mutated rice ALS gene, OsALS (dm), was created when two-point mutations,
W548L and S627I, in the OsALS gene were introduced by site-directed mutagenesis. The
OsALS (dm) gene was introduced into rice by Agrobacterium-mediated transformation
(Kawai et al., 2007a). After spraying over the leaves and stems of transgenic rice carrying the
OsALS (dm) gene, they grew normally, indicating that the OsALS (dm) gene acted
functionally in rice plants. Expression levels of both endogenous and mutated ALS genes of
transgenic rice plants were correlated with the resistance of transgenic plants to BS. The BS
resistance of transgenic plants was stably inherited to the progeny in a Mendelian manner.
2. Production of transgenic herbicide-resistant tall fescue for turf
Tall fescue is a major cool-season perennial grass species. It is an outcrossing, openpollinated, and highly self-imcompatible grass species; therefore, generally genetic
improvement takes a long time. Genetic transformation can help to overcome the problem
and facilitate grass improvement. Because of its agronomic importance, many
Agrobacterium-mediated transformation systems have been developed in tall fescue (Bettany
et al., 2003; Dong et al., 2005; Wang et al., 2005; Gao et al., 2008). Tall fescue is widely used
218
Herbicides, Theory and Applications
not only as forage in pastures, but also as turf for lawns, golf courses, athletic fields,
roadsides, and other places. Applying herbicide to tall fescue in pasture or meadow is
unrealistic because of the cost and safety, but its application in turf is promising. In
turfgrass, weed management is very important, and herbicide resistance can be used as an
efficient tool to allow easier maintenance.
We introduced the OsALS (dm) gene into turf-type tall fescue to confer herbicide resistance
using Agrobacterium-mediated transformation (Sato et al., 2009). Agrobacterium tumefaciens
strain EHA105 carries the binary vector pMLH7133-OsALS (dm) consisting of the OsALS
(dm) gene and hygromycin phosphotransferase gene (hpt) under the control of the enhanced
cauliflower mosaic virus (CaMV) 35S promoter (Kawai et al., 2007a). Embryogenic calli were
induced from shoot tips of the turf-type tall fescue cultivar Tomahawk germinated in vitro.
Infected calli were selected by incubation with hygromycin. Hygromycin-resistant calli were
regenerated, transferred to soil and grown in a greenhouse.
Introduction of the OsALS (dm) and hpt genes was confirmed by PCR analysis. The PCR
products amplified by the OsALS (dm) primers from both regenerated and wild-type plants
were equivalent in size to a fragment amplified from the binary vector pMLH7133-OsALS
(dm). Because the ALS genes are well conserved in plants, the PCR from the wild-type plant
would be amplified from the endogenous tall fescue ALS gene (FaALS). In the OsALS (dm)
gene, two new MfeI sites are produced at the mutation sites (Osakabe et al., 2005), and thus
the primers were designed to cover one MfeI site to distinguish the OsALS (dm) from the
FaALS gene. After the PCR products were digested with MfeI, the regenerated plants and
pMLH7133-OsALS (dm) yielded two fragments, whereas the wild-type plant yielded a
single fragment. The copy number of integrated genes was estimated by Southern blot
analysis and ranged from one to five.
Transgenic plants were sprayed on the leaves with a commercial ALS-inhibiting herbicide
containing BS. Wild-type plants were confirmed to die completely after herbicide treatment
(Fig. 4). On the other hand, transgenic plants were unaffected by the treatment and showed
resistance to the herbicide (Fig. 4).
Fig. 4. Herbicide application to wild-type (left) and transgenic plants (right). The picture was
taken 45 days after herbicide treatment.
ALS activity in the transgenic plants under the herbicide treatment was analyzed by
colorimetric enzymatic assay (Osakabe et al., 2005) with some minor modifications. This
assay is able to estimate ALS activity in plant tissues with or without herbicide treatment
based on a comparison of acetoin accumulation (Gerwick et al., 1993). Red or pink coloration
indicates a high accumulation of acetoin produced by the ALS activity, and yellow or brown
Transgenic Tall Fescue and Maize with Resistance to ALS-Inhibiting Herbicides
219
indicates a low accumulation of acetoin. When the leaf tissues were incubated without BS,
both wild-type and transgenic plants produced pink coloration (Fig. 5A). When incubated
with BS, only transgenic plants produced pink coloration while the wild-type plants
produced a brown color (Fig. 5A).
When ALS activity with BS was measured by a spectrophotometer, the ALS activity in
transgenic plants was almost equivalent to that in wild-type plants without BS and showed
higher activity than in wild-type plants (Fig. 5B). In the assay without BS, the ALS activity
tended to be higher in transgenic plants than in wild-type plants because OsALS (dm)
protein would be produced in addition to the endogenous FaALS protein. The transgenic
plants showed lower ALS activity with BS than without BS, probably because the FaALS
protein was inhibited by BS treatment. These results indicated that the transgenic plants
actively produced OsALS (dm) protein under herbicide treatment.
(A)
Transgenic plant
Wild-type plant
BS
OD530nm
–
+
–
+
0.981
0.323
1.546
1.059
(B)
Fig. 5. Colorimetric enzymatic assay in leaves of wild-type and transgenic plants resistant to
herbicide. The leaf tissues were incubated with (+) or without (–) BS. (A) Comparison of
acetoin accumulation. (B) Measurement of ALS activity. Error bars represent the SE for wildtype plants (n=3) and transgenic plants (n=9) (Adapted from Sato et al., 2009).
Although the transgenic plants were confirmed to show herbicide resistance in the
greenhouse, they should be further examined to ensure that herbicide resistance is stable
under field conditions. However, since tall fescue is an open-pollinated and anemophilous
grass, it is possible that transgenes could be dispersed into the environment through pollen.
220
Herbicides, Theory and Applications
Lee (1996) discussed two environmental risks associated with transgenic turfgrass. The first
risk is the possibility that transgenes will be spread by crossing transgenic plants with weed
species. The second is the chance that transgenic plants will themselves become weeds. Tall
fescue produces large amounts of pollen-containing allergenic proteins that cause hay fever
in susceptible people. In tall fescue, plants with cytoplasmic male sterility have been
developed to limit grass pollen allergy (Fujimori, 2002). To minimize the risk of dispersal of
transgenic pollen in the field, we are crossing such cytoplasmic male-sterile plants with our
transgenic plants.
3. Production of transgenic maize using a mutated ALS gene derived from
host maize DNA
Four commercial hybrid maize varieties resistant to ALS-inhibiting herbicides (IM and SU)
were developed by a somatic cell selection method with a B73 x A188 callus tissue culture
(Tan et al., 2005) with a single mutation (W574L, S653N and T155A). A double mutation
(P197A and W574L) that showed enhanced resistance to ALS-inhibiting herbicides was later
discovered and called a highly herbicide-resistant ALS (HRA).
The first transgenic maize resistant to ALS-inhibiting herbicides was produced by Pioneer
Hi-Bred with this HRA gene. The transgenic maize not only has resistance to ALS-inhibiting
herbicides but also to glyphosate introduced by Bacillus-derived 5-enolpyruvylskimate-3phosphate synthase (EPSPS) in the same vector. As for regulatory elements, an ALS genederived promoter with three copies of a CaMV 35S enhancer and potato (Solanum tuberosum
L.) protease inhibitor II-derived terminator was used. Nicosulfuron and rimsulfuron were
used to check the resistance to ALS-inhibiting herbicides of the transgenic maize. This event
has already been named DP-098140, OECD UI: DP-098140-6 (https://bch.cbd.int/
database/record-v4.shtml?documentid=48466) and has been approved in several countries.
It is important to pay attention to the production of consumer-acceptability of transgenic
crops in certain countries, including Japan. In order to produce transgenic maize plants
carrying only host-derived genes which are more acceptable, we isolated a maize ALS gene
inducing both a promoter and terminator region from a Japanese inbred line, and then
introduced the same mutations as in rice but at different positions (W542L and S621I) to
confer ALS-inhibiting herbicide resistance. Its resistance to BS was also confirmed by
analyzing the enzymatic activities. This mutated ALS gene was again introduced to maize
by an improved Agrobacterium-mediated transformation method (Ishida et al., 2007).
Japanese maize inbred lines were at first screened for their tissue culture response, and Mi29
(Ikegaya et al., 1999) was adopted for its high in vitro regenerative ability. Immature
embryos of Mi29 at 7-10 days after fertilization were infected with Agrobacterium containing
either the standard binary vector or a super-efficient one and cultured on selection medium
with 0.1 or 0.5 microM BS after a one-week co-cultivation period. Transgenic calli resistant
to BS were transferred to regeneration medium, and regenerated shoots were further
transferred to rooting medium. The overall transformation frequency was 5-30% depending
upon the stage and quality of the immature embryo. Transgenic BS-resistant maize grew to
maturity and set seeds. T1 progenies were obtained by crossing the transgenic maize with
wild type. The inheritance of the transgene was confirmed by PCR analysis and BS
application to their progenies. The progenies showed the segregation ratio (resistant:
susceptible 1:1) expected for a single locus (Fig. 6).
Transgenic Tall Fescue and Maize with Resistance to ALS-Inhibiting Herbicides
221
Fig. 6. Segregation of resistance to ALS-inhibiting herbicide containing BS in progenies of
wild-type x transgenic BS-resistant maize. 100-fold diluted commercial herbicide was
sprayed one week after germination. The picture was taken after another week.
4. The use of mutated ALS genes as selective markers
Selectable markers facilitate the selection of transgenic cells from non-transgenic cells in
genetic transformation. Without them, the transgenic cells that integrate transgenes stably
would be lost in non-transgenic cells, which would grow well in the absence of a selection
agent. The most widely used selectable markers are antibiotic-resistant genes such as the hpt
gene and the nptII gene encoding neomycin phosphotransferase. HPT has a low likelihood
of inducing toxicity and allergenicity (Zhuo et al., 2009; Lu et al., 2007), and NPTII was
determined to be nontoxic for human or animal consumption (Nap et al., 1992). Herbicideresistant genes are also used as selectable markers. The bar gene encodes the enzyme
phosphinothricin acetyltransferase (PAT) and confers resistance to phosphinothricin,
glufosinate or bialaphos herbicides. PAT is specific and does not possess food toxins or
allergens in human food and animal feed (Hérouet et al., 2005). The lack of toxicity or
allergenicity of EPSPS has also been proved (Hammond et al., 2004).
However, some consumers are opposed to the use of these selectable markers because they are
derived from bacterial or fungal DNA. Therefore, the use as selectable markers of mutated
ALS genes, derived from plant DNA, has recently increased. Mutated ALS genes derived from
Arabidopsis have been reported to be useful as selectable markers in various plants, such as
tobacco (Gabard et al., 1989), rice (Li et al., 1992), potato (Anderson et al., 2003), oilseed
mustard (Brassica juncea) (Ray et al., 2004) and maize (Zhang et al. 2005). Mutated OsALS genes
have been demonstrated to be useful as selectable markers in rice (Osakabe et al., 2005;
Okuzaki et al., 2007). Using these mutated OsALS genes, transgenic plants have been produced
in various plants such as rice (Osakabe et al., 2005; Okuzaki et al., 2007), soybeans (Tougou et
al., 2009), tall fescue (in preparation) and wheat (Triticum aestivum L.) (Ogawa et al., 2008).
Some studies have suggested that homology-dependent gene silencing is associated with
the presence of either multiple copies of homologous transgenes and promoters (Matzke &
Matzke, 1995) or a transgene and a homologous endogenous gene (Meyer, 1995). In general,
constitutive promoters, such as the CaMV 35S promoter, rice actin 1 promoter and maize
ubiquitin promoter, are used to drive selectable markers. In our transgenic tall fescue,
multiple integrated transgenes were observed, and ALS activity was insufficient to confer
herbicide resistance in susceptible plants (Sato et al., 2009). The CaMV 35S promoter was
used for two genes (OsALS (dm), hpt) in the same binary vector; therefore, the chances of
gene silencing may have increased by overuse of the CaMV 35S promoter. Okuzaki et al.
222
Herbicides, Theory and Applications
(2007) reported that some transgenic rice calli with multiple copies of a mutated ALS gene
driven by the maize ubiquitin promoter did not regenerate, whereas transgenic calli with
only one or two transgenes did. On the other hand, no relationship between herbicide
resistance and copy number was apparent in wheat transformation using the rice ALS
promoter (Ogawa et al., 2008). It was assumed that the rice ALS promoter is not a strong one
and is expressed in a tissue-specific manner (Osakabe et al., 2005). Strong expression in all
tissues by constitutive promoters tends to cause deleterious effects, and the use of the
endogenous ALS promoter would be preferable for more stable expression.
5. Conclusion
In this chapter, we introduced mutated ALS genes and their application to the production of
herbicide-resistant crops and selection of transgenic cells. Our transgenic tall fescue and
maize were confirmed to show ALS-inhibiting herbicide resistance in the greenhouse. So far,
many transgenic herbicide-resistant crops have been developed. Though relatively new,
their contribution to production-based agriculture has been significant. In future, we expect
our herbicide-resistant crops to allow easier weed management.
Although herbicides are effective weed management tools, a cultivation system that
depends on the application of a single type of herbicide with the same site of action would
tend to increase the frequency of emergence of herbicide-resistant weed species or group of
herbicides. Herbicide-resistant weeds evolve through random mutation events. In
particular, there are more weed species that are resistant to ALS-inhibiting herbicides than
to any other herbicides (Tranel & Wright, 2002) because resistance to ALS-inhibiting
herbicides is conferred by single or double mutations.
Recently, the adoption of stacked cultivars in which multiple transgenic traits were
introduced has been produced in maize, soybeans and other crops. The use of a combination
of several herbicides with other mechanisms and plants resistant to those herbicides is
useful to inhibit and delay effectively the generation of herbicide-resistant weed species.
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12
Pollen Mediated Gene Flow in GM Crops:
The Use of Herbicides as Markers for Detection.
The Case of Wheat
Iñigo Loureiro, Concepción Escorial, Inés Santín and Cristina Chueca
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Spain
1. Introduction
ISAAA has estimated that genetically modified (GM) crops, mainly soybean, maize, cotton
and canola, are cultivated worldwide in an area that has increased from 1.7 million hectares
in 1996 to 134 million hectares in 2009, of which more than 80% have an herbicide-tolerant
trait (ISAAA 2010). This work reviews the agricultural and environmental concerns about
the likelihood for gene flow from GM wheat (Triticum aestivum L.). Wheat is the world’s
most important crop species, grown on over 210 million hectares. There are no GM wheat
varieties commercially available but transgenic wheat varieties are being successfully
developed and field-tested. That makes wheat in the pipeline of genetically engineered
crops to be cultivated. Although wheat is predominantly a self-pollinating crop, pollen from
one plant can travel via wind to other receptive plant, being outcrossing between wheat
cultivars possible at variable rates. Coexistence problems in wheat could thus arise if no
measures are taken before releasing and marketing any transgenic cultivar, as has occurred
with other GM crops such as oilseed rape or maize, where measures were implemented
after commercial transgenic introduction. Besides this, wild Aegilops species like Ae.
geniculata Roth., Ae. cylindrica Host., Ae. biuncialis Vis. or Ae. triuncialis L. can form natural
interspecific hybrids with wheat where they grow in sympatry. These natural hybrids are
highly sterile, although seeds may occasionally be found. Data presented aim to contribute
to the determination of the extent of this phenomena. These data are necessary to manage
the possible impact of transgenic wheat hybrids before the transgenic crop can be grown
under field conditions. Herbicide-tolerant wheat parental varieties can be used to obtain
resistant progeny detectable by herbicide selection, providing a high approach to the
potential occurrence of intra and interspecific pollen mediated gene flow.
2. Herbicide resistance as a marker for gene flow
In spite of the knowledge of GM herbicide tolerant wheat cultivars, whose use is limited by
availability and regulatory constraints, in the experiments presented in this book chapter we
have used non GM wheat cultivars possessing homozygous dominant genes for herbicide
response. Chlorotoluron and difenzoquat tolerant wheat cultivars were used to obtain
hybrid-resistant progenies detectable by herbicide selection.
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Herbicides, Theory and Applications
The herbicide chlorotoluron is a commercially available selective phenylurea that is widely
used for broad-leaf and annual grass weed control in winter cereals. The genetic control of
tolerance to chlorotoluron in bread wheat is determined by a major single dominant gene,
Su1, located on the short arm of chromosome 6B (Krugman et al., 1997). This herbicide is
selective in winter wheat crops although there are wheat cultivars susceptible to
chlorotoluron (Sixto et al., 1995; Bozorgipour & Snape, 1997). Wheat wild relatives as
Aegilops spp. are also susceptible to it. In the presence of herbicide selection pressure,
herbicide resistance allows for the detection of hybrids between resistant wheat cultivars
and susceptible ones and between Aegilops spp. and resistant wheats. In our studies, we
have used chlorotoluron tolerant wheat cultivars as Castan or Deganit.
The herbicide difenzoquat is a mitosis inhibitor used for the post-emergence control of wild
Avena spp. in winter cereals. Aegilops species are susceptible to this herbicide. Chinese
Spring (CS) is a wheat cultivar possessing herbicide resistance alleles endowing resistance
that can be used to obtain hybrid resistant progeny. The genetic control of tolerance to
difenzoquat in bread wheat is determined by a major single gene (Busch et al., 1989).
During our work we have conducted two types of assays which have enabled us to identify
resistant hybrids: growing plants with herbicides in hydroponic assays and herbicide
spraying assays.
3. Pollen dispersal in wheat
Wheat pollen dispersal is not a new issue in agriculture. The varietal purity of the seed has
always played a fundamental role in the development, yield and final quality of crops. It has
long been known that pollen contamination not only takes place in cross-pollinated crops, it
is also possible in self-pollinating crops when different varieties of the same crop are
cultivated and sufficient separation distance is not maintained (Sanchez-Monge, 1955).
One of the most effective methods for preventing pollen contamination between crossable
genotypes is the use of isolation distances. The isolation distance required will depend on
flower characteristics, compatibility with neighboring crops, pollen quantity and viability,
mode of pollen dissemination and environmental conditions, which are of the upmost
importance. Not all genotypes show the same ability in crosses. Wheat cultivars could show
differences in the factors included in their reproductive biology; the flowering period of a
wheat plant takes around 8 days. During these days each flower is open from 8 to 60
minutes. Wheat produces a low number of pollen grains (10,000 per anther) only the 5 to 7%
of the pollen drops on the stigma, the great majority is dispersed by wind (de Vries, 1971).
The period of pollen viability is low, never above three hours (D’Souza, 1970). Pollen
viability declines, with time and exposure to environmental stresses. From a hybridization
rate of 86% obtained with fresh pollen maintained at 15º C (at RH 65 ± 5%), hybridization
was only 12% after one hour at 25ºC , while no seeds were found at 30ºC. At 15ºC seed set
declined 14 % and 23% at 20ºC (Loureiro et al., 2007). Receptivity of stigma and flower
opening were also environmental and genetically dependent (de Vries, 1971). Under our
circumstances, in a year with favourable conditions (77% RH and 20 ± 2ºC), a maximum
seed set of 78% was obtained for Pavon x CS wheat cultivars hand crosses. These values
were of 39% in a less favorable year.
4. Outcrossing in wheat. The problem of coexistence
Wheat is a self-pollinating crop but outcrossing is possible between cultivars at variable
rates that are related with populations, genotypes and environmental conditions (Jain, 1975).
Pollen Mediated Gene Flow in GM Crops:
The Use of Herbicides as Markers for Detection. The Case of Wheat
227
The main studies on pollen dispersal in wheat appear in two stages. In the 1960s and
beginning of the 1970s managing pollen drift was a major concern within the context of
commercial production of hybrid wheat, where achieving high levels of genetic purity and
satisfactory seed set on male sterile plants were essential (Pickett 1993). In recent years,
pollen dispersal in wheat has again received considerable attention, within the context of the
legislation applied to cultivars issued from the advances in biotechnology. Transgenic wheat
varieties are being successfully developed and field-tested, primarily as glyphosate-tolerant
wheat (Blackshaw & Harker, 2002; Zhou et al., 2003), and there is extensive research on a
wide range of GM wheat traits (e.g. Fusarium resistance, drought resistance); probably in
the next few years certified cultivars of transgenic wheat shall be commercially available.
There is concern that once transgenic wheat is released for commercial production, there
will be a potential pollen flow from GM wheat to non GM-wheat (van Acker et al., 2003). As
a consequence the product could not fulfil all the requirements of some international
markets and farmers could lose the ability of choose between conventional, organic or GMbased crop productions, in compliance with the relevant EU legislation on labelling and/or
purity standards. EU regulations framework establishes a 0.9% labelling threshold for the
adventitious presence of GM material in non-GM products. Thus, problems could appear in
wheat if no measures are taken prior to the release and commercialisation of any transgenic
cultivars to establish the basis that allows the coexistence of all type of wheat with the GM
wheat.
Outcrossing studies between T. aestivum cultivars have been conducted by different authors
in the absence of any pollen competition on male sterile receptor plants. In this sense
emasculate plants provide information on the upper levels of outcrossing under specific
conditions and help in evaluating safety distances that avoid outcrossing and potential
pollen-mediated gene-flow. Outcrossing rates in these studies are very different among
experiments in terms of frequency of hybrid seed set and maximum seed set distance (from
12 to 73% at distances near to the pollen source, from 0.3 to 9 % at around 10 m distance)
(Khan et al., 1973; de Vries 1974). In a three-year study we assessed the maximum potential
outcrossing under field conditions between the wheat cultivars Pavon (receptor) and
Chinese Spring (3 x 3 m source donor). Bread wheat can also coexist in the field with the
second major cultivated wheat species, the durum wheat tetraploid Triticum turgidum L.
(tetraploid, AABB) that is closely related to bread wheat which bulk of production is
concentrated in the Middle East, North America and the Mediterranean region. For this
reason durum wheat T. turgidum L. var. durum cultivar Nita was also included in the study.
Outcrossing was measured by seed set on emasculated recipient plants. Frequencies of seed
set at 0 m distance were 45% (37-56%) for T. aestivum cultivars and 18% (5-30%) with T.
turgidum (Loureiro et al., 2007). Under semiarid conditions of this assay, viable pollen was
found at 14 m from the source, the maximum distance analyzed, with a distance of 8 m at
which cross-pollination decreases below 1%. There is a strong positive correlation between
outcrossing and the amount of pollen in air, for this reason hybridisation at distances close
from the pollen source are similar to maximum hybridisation when emasculated plants
were used as receptors. However as the distance from the pollen source increases the pollen
concentration rapidly decline, 90% of the pollen in wheat remains within 6 meters from its
source (Jensen, 1968; Loureiro, 2005). A mean seed set of 45% at 0 m decrease to 10% at 2 m
(Figure 1). At 10 m seed set was of 1% in agreement with data of Stopkopf & Rai (1972) ; de
Vries (1974) and Zhao et al. (2000) and slightly higher than data of Lu et al. (2002). Other
authors have found a slower decrease on seed set in relation to distance from the pollen
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Herbicides, Theory and Applications
source (Johnson et al., 1967; Bitzer & Patterson 1967; Khan et al., 1973). An exponential
predictive curve (Figure 1) provides the upper level of the magnitude of this event (Loureiro
et al., 2007). In these circumstances, 5 m would be required to avoid adventitious GM
presence above the 0.9% marked by the European legislation. This isolation could be higher
downwind with 7 m required to meet the threshold.
60
% Outcrossing
50
2000
40
2001
2002
30
General
20
Downwind
10
0
0
2
4
6
8
10
12
14
Distance (m)
Fig. 1. Mean seed set related to distance under no pollen competition in field assay.
The outcrossing between wheat cultivars have been also assessed natural conditions of
pollen competition. Experiments were carried out in the year 2005 at “La Canaleja (Instituto
Nacional de Investigación y Tecnología Agraria y Alimentaria, INIA) and at “El Encín”
(Instituto Madrileño de Investigación y Desarrollo Rural y Agrario, IMIDRA) experimental
stations, Madrid, Spain. The layout of the experiment was such that it permitted
observations on the extent of natural crossing of a wheat pollen donor with different
recipient cultivars and in different directions and distances. The experimental field design
consisted in a 50 x 50 m central square plot sown with a T. aestivum chlorotoluron tolerant
cultivar pollen donor (Castan in “El Encin” and Deganit in “La Canaleja”) at field density
and chlorotoluron susceptible receptors (Altria and Recital) placed in the four sides of the
pollen source at distances of 0, 1, 3, 5, 10, 20, 40, 80 and 100 m. In any case the mean of
outcrossing reached 2% at 0 m distance. This value was always below 5% downwind even
in close proximity (Loureiro et al., 2005). Outcrossing was detected at the very low level of
0.07% at 100 m from the source.
These outcrossing rates are in the range of published frequencies averaging 1%, but that can
vary between 0 to 6.7% at distances below 1 m (Griffin, 1987; Hucl, 1996; Zhao et al., 2000;
Hucl & Matus-Cadiz, 2001; Loureiro et al., 2005), although hybrid seed set is also possible at
greater distances.
5. Hybridization with wild relatives
Genes could also be transferred from GM crops to wild relatives through interspecific
hybridization. Prior to the commercialization of GM crops the research on the natural
hybridization between crops and related wild species was very limited. Most of the research
was done with the purpose of breeding and with the aim of transferring desirable traits
between species, with crops always used as female parent in intergeneric and interspecific
crosses. But the picture is quite different and numerous crops are known to have wild
Pollen Mediated Gene Flow in GM Crops:
The Use of Herbicides as Markers for Detection. The Case of Wheat
229
relatives that can hybridize with them somewhere in the world. Gene flow between
cultivated species and their weedy and wild relatives has been documented in species such
as oilseed rape (Brassica napus L.) (Jørgensen & Andersen, 1994), maize (Zea mays L.)
(Doebley, 1990), sorghum (Sorghum halepense (L.) Pers) (Arriola & Ellstrand, 1996), sunflower
(Helianthus annuus L.) (Arias & Rieseberg, 1994) and sugarbeet (Beta vulgaris L.) (Bartsch &
Pohl-Orf, 1996). Hybridization with wild relatives has been a real issue implicated in the
evolution of some of the most aggressive weeds. In order to prevent the diffusion of a
character that could provide adaptative advantages, thus making weed and wild species
more invasive (Darmency, 1994), it is important to understand the potential for gene flow
and transgene introgression from cultivated wheat into other species, mainly their wild
relatives.
Any future market launch and use of genetically modified wheat must be undertaken with
extreme care, since a number of closely related species, primarily of the genus Aegilops,
share their habitat with wheat and some natural hybrids between Aegilops spp. and wheat
have been documented in field borders (van Slageren, 1994). Hybridization of herbicideresistant genetically modified wheat with populations of free living relatives could make
these plants increasingly difficult to control, especially if they are already recognized as
agricultural weeds and if they acquire resistance to widely used herbicides (Darmency,
1994). The transfer of herbicide resistance genes from wheat to Aegilops cylindrica Host., a
noxious weed in the wheat producing areas of the western United States, has been detected
in the field and created problems for its control (Seefeldt et al., 1998; Wang et al., 2001;
Gandhi et al., 2006). Other wild Aegilops species like Ae. geniculata Roth., Ae. biuncialis Vis.
and Ae. triuncialis L. also form natural intergeneric hybrids with bread wheat where they
grow in sympatry and with overlapping flowering times (van Slageren, 1994; Loureiro et al.,
2006; Zaharieva & Monneveux, 2006), a phenomenon underlining the close genetic links of
the two genera. Hybrids between Ae. geniculata and Ae. triuncialis and wheat have been
found in several countries of Europe, mainly in Spain and France, while Ae. biuncialis-wheat
natural hybrids have been described in Lebanon (van Slageren, 1994). These natural hybrids
are highly sterile, although seeds may occasionally be found in Ae. geniculata hybrids (van
Slageren, 1994; Loureiro et al., 2008).
In order to study the extent of natural hybridization, we collected spikes from one Ae.
geniculata population that was spread extensively along a wheat field (in close proximity, Fig.
2A) where one natural hybrid has been previously detected (Fig. 2 B). A total of 3200 seeds
were collected and grown in the greenhouse. Six hybrid individuals were identified from 3158
germinated seedlings, so the spontaneous hybridization rate was of 0.19% (Loureiro et al.,
2006). This natural hybridization rate was similar to the 0.24% and 0.39% obtained in the
assays carried under simulated field conditions explained below (Loureiro et al., 2007). Our
semiarid field conditions, with frequent high temperatures and low relative humidity during
the flowering periods, negatively affect to the viability and dispersal of the wheat pollen
(Waines and Hegde, 2003; Loureiro, 2005). Therefore, rates of crop-wild hybridization may be
higher under environmental conditions that are more favorable to hybridization.
An useful herbicide resistance screening test has been conducted to detect the potential
occurrence of gene flow from T. aestivum to Aegilops using herbicide tolerant wheat cultivars
as pollen donors. Aegilops spp. seeds are sown at appropriate depths in 1 L plastic pots (10
cm diameter, 10 seeds per pot) containing soil and sand in a 1:1 (V ⁄ V) mixture. Plants were
treated at the three leaf stage with a commercially formulated herbicide at the amount of
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Herbicides, Theory and Applications
wheat
Ae. triuncialis
Ae. geniculata
Fig. 2. A) An extensive stand of Ae. geniculata with some Ae. triuncialis in a roadside near
Zamora, Castilla-León, Spain. B) Spikes of a natural hybrid plant between Ae. geniculata and
T. aestivum on the edge of wheat field. Hybrids were identified in the field by their
intermediate spike morphology.
herbicide recommended in the field. In the case of Chinese Spring used as parental in
crosses, the spraying was done with difenzoquat (Superaven, 330 g a.i. kg-1, Cyanamid
Ibérica, S.A.) at 3 kg a.i. ha−1. For Castan and Deganit, plants were sprayed 1 day after
planting with a commercial formulation of chlorotoluron (Oracle, 500 g a.i. L-1, DuPont
Ibérica, S.A.) at 2 kg a.i. ha-1.
The damage produced by the herbicide to the growth of the susceptible plants was apparent
21 days after treatment. The response to the herbicides was evaluated visually 30 days after
treatment. Herbicide applications were made using a Research Track Spray Cabinet (Devries
Manufacturing, Hollandale, MN, USA) equipped with a Teejet 8002-E flat fan nozzle
calibrated to spray 176 L ha-1 at 130 kPa. After spraying, the pots can be placed in the
glasshouse or in a growing chamber and watered as required. Temperature was maintained
at 24 ⁄ 16 ± 2ºC (day ⁄night temperature).
We can see in the Figure 3A that the herbicide killed the Ae. geniculata plants 30 days after
treatment, while the Deganit tolerant wheat cultivar and the F1 hybrid plants survived the
treatments. Figure 3B shows the response to difenzoquat, with the CS tolerant wheat
cultivar and the hybrids between this cultivar and Ae. biuncialis surviving the herbicide
treatment while the Ae. biuncialis plants are dead. The results indicated that the bioassay was
adequate for detecting hybrids. This kind of bioassay will be useful for the identification of
hybrids in Aegilops wild populations growing near fields sown with wheat carrying a
dominant trait for resistance to herbicides and in the quantification of the rate of
hybridization.
These bioassays using herbicides as markers for hybrid detection were used to evaluate the
hybridization between cultivated wheat and two Aegilops wild relatives during two seasons
in simulated field conditions under Central Spain conditions (Loureiro et al., 2007). Ten 1 m
x 1 m pollinator experimental plots sowed with T. aestivum cv Deganit at field density (400
seeds m-2) were established per Aegilops spp. for each of two consecutive years of
experimentation. Two to 3 days before anthesis one pot of Aegilops spp. was placed inside
each pollinator plot. The wheat flowering period was monitored each year. Spikes from
Aegilops plants were collected at maturity separately from each individual. Progeny from
Pollen Mediated Gene Flow in GM Crops:
The Use of Herbicides as Markers for Detection. The Case of Wheat
231
Fig. 3. A) Response to the herbicide chlorotoluron (2 kg a.i. ha−1) 30 days after treatment of
Triticum aestivum cv Deganit (left), Ae. geniculata (right) and their F1 hybrids. B) Response to
difenzoquat (3 kg a.i. ha−1) 21 days after treatment of T. aestivum cv Chinese Spring (left), Ae.
biuncialis (right) and their F1 hybrids. The herbicide application allows the identification of
the hybrids.
Fig. 4. A) Aegilops-Triticum hybrid detection by herbicide screening in the greenhouse. B)
Herbicide resistant hybrid between Ae. geniculata and T. aestivum cv Castan wheat identified
by screening with the chlorotoluron applied at 2 kg a.i. ha−1.
each Ae. geniculata and Ae. biuncialis plant was screened separately to check for resistance to
chlorotoluron in the greenhouse (Fig. 4A). Percentage of hybridization was estimated as a
ratio of survivor chlorotoluron-resistant hybrids to the total number of Aegilops seeds
sprayed. Figure 4B shows a chlorotluron resistant hybrid between Ae. geniculata and Castan.
The spike morphology of interspecific hybrids, intermediate between wheat and Aegilops,
was similar to that of those obtained previously by hand-crossing under greenhouse
conditions and allowed for their identification. The different ploidy levels of T. aestivum (2n
= 42) and the two Aegilops spp. (2n = 28) also enabled us to confirm the hybrid status of all
surviving individuals on the basis of their chromosome number in root meristems (2n = 35).
The estimated hybridization rates using the data from both years were similar in both
species and averaged 0.34% for Ae. biuncialis and 0.31% for Ae. geniculata. Assuming these
hybridization rates and that the average seed production per plant is of 58.8 and 80.2
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Herbicides, Theory and Applications
seeds/plant for Ae. biuncialis and Ae. geniculata, respectively, in a hypothetical field
population of 100 plants growing in wheat close proximity in 1 year, the next year we would
find around 17 Ae. biuncialis x wheat and 24 Ae. geniculata x wheat hybrids that could
germinate or remain viable in the soil for more than 1 year. This study was carried out
under experimental conditions where the factors that influenced cross-pollination as
experimental plot layout or flowering synchrony, were optimized to promote hybridization.
Thus, the results provided are a better indication of the maximum potential for
hybridization under field conditions than of actual hybridization in agronomic settings,
although it can vary within and probably among wild Aegilops populations and wheat
varieties (Farooq et al., 1989; Hedge & Waines, 2004).
Hybridization frequency is only a component of the rate of interspecific gene flow; the
ability of the hybrids to reproduce and survive in nature for the first generations is another
limiting factor in terms of introgression. Fertile progenies of an Ae. geniculata x wheat hybrid
were described as early as early as 1838 in the South of France (van Slageren, 1994). After a
few years of cultivation, seed producing fertile plants that increasingly looked like wheat
were obtained. The fact that hybrids between wheat and Aegilops spp. can be partially fertile,
with low male fertilities and some female fertility that allows for backcrosses with the
parents to occur (Mujeeb-Kazi, 1995), raises the question of whether a wheat gene could be
transferred when other wheat fields are grown near the hybrid zone. Aegilops x wheat
hybrids showed some female fertility by backcrossing when placed inside a wheat plot.
Seeds were found in Ae. biuncialis and Ae. geniculata x Deganit hybrid plants when they were
placed inside 1 x 1 m wheat plots for backcrossing. Mean fertility rates were of 3.17% for Ae.
biuncialis hybrids (0-9.26%) and 2.87%(0-8.33%) for Ae. geniculata hybrids, with great
variability among plants (Loureiro et al., 2007). These backcrossing rates are in the range of
that obtained by Snyder et al. (2000) for Ae. cylindrica in an experiment with one Ae.
cylindrica x T. aestivum cv Madsen hybrid plant inside a 1 m2 plot of wheat: they obtained
average seed sets of 1.8% (1–2.5%) and 6% (3–9.2%) in each year. Morrison et al. (2002)
found that a 44% of the 754 Ae. cylindrica x wheat hybrids produced BC1 seeds at an average
rate of 1%, but up to 8% can be achieved for some hybrid plants. Higher BC1 seed set rates of
near to 30% in some hybrid plants have been found for other wheat cultivars (Loureiro et al.,
2009). Besides, BC1 partial self-fertility can be restored to 37% in the second backcross
generation using jointed goatgrass as the recurrent parent, indicating that only two
backcrosses are needed to restore fertility (Wang et al., 2001).
Dose-response analysis was conducted on F1 and BC1 hybrids between Ae. geniculata (Loureiro
et al., 2008) and Ae. biuncialis (Loureiro et al., 2009) and wheat. Herbicides (chlorotoluron
and/or difenzoquat) were applied at 0, 0.5, 0.75, 1, 1.5 and 2X (X = recommended dose). The
hybrids were extracted with their roots 15 days after treatment, washed with water and roots
dried with paper to obtain the fresh weight. Three replicates and 3 seeds per replicate were
used in each treatment. A log-logistic model (Seefeldt et al., 1995) was used to analyze the data
to predict the trend of herbicide resistance. In this model, the equation
y = f (x) = C + (D – C) / (1 + (x/LD50) b)
was used to fit the data (LD50 = 50% inhibitory dose, b = slope of the curve at LD50, C =
lower limit and D = upper limit). Figure 5 shows the herbicide dose–response curves based
on fresh weight 15 days after treatment of Ae. geniculata, F1, BC1 and wheat cultivars with
the herbicides chlorotoluron and difenzoquat.
Pollen Mediated Gene Flow in GM Crops:
The Use of Herbicides as Markers for Detection. The Case of Wheat
233
Fig. 5. Herbicide dose–response curves. Ae. geniculata, F1, BC1 and wheat cultivars with the
herbicides (A) chlorotoluron and (B) difenzoquat.
As hybrids could maintain the herbicide resistance from wheat, as is shown by the LD50
values of the F1s and BC1s, the spread of these plants will be favoured by the use of the
herbicide. At this point, herbicide resistance could be used as a good marker gene for hybrid
detection and for the study of the herbicide resistance transference in the subsequent
generations.
The hybridization ability, the partial fertility of Aegilops–wheat hybrids, the expression of
herbicide tolerance from wheat in the cytoplasmic background of Aegilops and the successful
backcross seed production indicate that hybrids could facilitate the transfer of herbicide
resistance from cultivated wheat to Aegilops in the hypothesized case of backcrossing with
Aegilops as male parent. Until now, no case of herbicide-resistance in Ae. geniculata or Ae.
biuncialis harmful to farmers have been reported, which could be an indication of the real
low level impact of hybridization. However, there is evidence of past gene-flow and natural,
sporadic introgression from wheat into related Aegilops species (Weissman et al., 2005). This
fact could give to the introgressed hybrids and successive generations a selective advantage
and could increase the weediness of these species under an agronomic scenario of herbicideresistant wheat, as is pointed out by Schoenenberger et al. (2006) for Ae. cylindrica. Broader
research is needed on the fertility and fitness of the hybrids and their progenies when Ae.
geniculata is the male parent in the backcrosses. This information could let us predict the
relative advantage of hybridization on the adaptive ability of Aegilops spp. and hybrid
derivatives and its impact on the environment and agricultural system.
6. Conclusions
Gene flow dynamics need to be considered in planning future field experiments with
transgenic wheat. Agricultural reality shows that the degree of autogamy is high in wheat
and that, generally, gene flow can be managed, provided that some precautionary measures
are taken, such as keeping enough spatial isolation from other non GM wheat fields or from
Aegilops wild relatives which wheat can hybridize. More research in this field is needed in
order to establish coexistence measures to avoid unintended presence of GM in non-GM
wheat, with cross-pollination being studied case by case and region by region. The fertility
and fitness of the hybrids and their progenies must be also further evaluated in order to
234
Herbicides, Theory and Applications
determine the potential introgression of the herbicide resistance genes into the wild species,
a phenomenon that must be adequately assessed to avoid any potential risk derived of gene
transfer.
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573-580.
Part 2
Analytical Techniques of Herbicide Detection
13
Overview of Analytical Techiques
for Herbicides in Food
Hua Kuang, Libing Wang and Chuanlai Xu
Jiangnan University
China
1. Introduction
It is said that there are more than 5800 kinds of weeds, which significantly do harm to the
agricultural production and weed control has always been an important issue in
agrochemical practice. Chemical agents, that is herbicides, are used widely in the world in
protecting crops from undue competition from weeds.
The main chemical classes of herbicides(Tadeo et al., 2000) include bipiridilium compounds,
triazine derivatives containing three heterocyclic nitrogen atoms in the ring structure
(atrazine, prometryn, propazin, etc.), chlorophenoxy acid derivatives (2, 4-D, 2, 4, 5-T),
substituted chloro-acetanilides (alachlor, propachlor), derivatives of 2, 6-dinitroaniline
(benfluralin, trifluralin), substituted phenylcarbamates (carbetamide, chlorbufam), urea
derivatives (chlorbromuron, chlorotoluron), substituted sulphonylureas (amidosulfuron,
trifusulfuron), etc. The intensive application of herbicides has resulted in the contamination
of the atmosphere, soil and waste water, agricultural products (wheat, corn, fruits,
vegetables, beans etc.) and, consequently, in the direct or indirect pollution of food and food
products and biological system.
More studies have shown that herbicides or its metabolites can enter into the human body
along food chain, which creates potential health risks to human. Growing concern has been
taken for this issue and some herbicides have been banned to use (see table 1).
The development of a robust analytical method is a complex issue. All steps in the analytical
process including sample preparation, extraction, cleanup and instrumental analysis are
equally important. There are a vast series of techiniques to use in establishing analytical
methods, however, some rules should be taken for the differences in polarity of herbicides
and the type of sample matrix. The objective of this paper is to summarize the anlytical
measures developed to detect the different classes of herbicides residues in various foods,
and to review future trends.
2. Phenoxycarboxylic acid herbicides
The herbicidal effect of 2, 4-D was first discovered by Amchem company in 1942 (Kuang et
al., 2006b), and more categories were developed by a lot of companies since 1945 based on
the structure of 2, 4-D. The general formula of this class herbicides see fig 1 and the chemical
structure of some most used phenoxycarboxylic acid herbicides were summarized in table 2.
2, 4-D is the world's largest broad-leaved weed herbicides. Phenoxycarboxylic acid
240
Class of Herbicides EU
Phenols
Dinoterb
2-Methyl-4, 6Dinitrophenol
(DNOC)
Pentachlorophenol
Ureas
Monolinuron
Chloroxuron
Difenoxuron
Noruron
Chlorbromuron
Cycluron
Dimefuron
Momuron
Neburon
Tebuthiuron
Thiazafluron
Benzthiazuron
Ethidimuron
Metobromuron
Metoxuron
Fenuron
Amides
Metolachor
Butachlor
Monalide
Diethatyl-Ethyl
Mefenacet
Tebutam
Isocarbamide
Diphenamide
Chlorthiamid
Pentanochlor
Flamprop
Flupoxam
Triazine
Propazine
Ametryn
Aziprotryne
Desmetryne
Methoprothryne
Trietazine
Terbumeton
Secbumeton
Cyanazine
Terbutryn
Hexazinone
Prometryn
Herbicides, Theory and Applications
U. S. A
Dinoseb
DNOC
Japan
China
Dinoterb
Dinoterb
Pentachlorophenol DNOC
Pentachlor
ophenol
-
Chloroxuron
Monolinuron
Tebuthiuron
Benzthiazuron
-
Metolachor Metolachor
Butachlor
Mefenacet
Flamprop
Propazine
Propazine
Ametryn
Tebutryn
Cyanazine
Hexazinone
-
241
Overview of Analytical Techiques for Herbicides in Food
Class of Herbicides EU
Dinitroaniline
Dinitramine
Isopropalin
Nitralin
Diphenyl Ethers
Fluoroglycofen
Fluorodifen
Acifluorfen
Fomesafen
Chlormethoxyfen
Carbomates
Cycloate
Vernolate
Dimepiperate
Dimexano
Propham
Butylate
Chlorbufam
Tiocarbazil
Karbutilate
Di-Allate
Barban
S-Ethyl-N, NDipropylthiocarbamate(
EPTC)
Orbencarb
Pebulate
Phenoxycarboxylic Fluazifop
Acids
Quizalofop
Fenoxaprop
Haloxyfop
2, 4, 5-T
Dichlorprop
Fenoprop
2, 3, 6-Trichlorobenzoic
Acid (2, 3, 6-TBA)
Imidazolinones
Chloramben
Imazamethabenz
Imazapyr
Cyclohexanediones Sethoxydim
Alloxydim
Others
Chlorfenprop-Methyl
Allalacohol
Benazolin
Benzoylprop
Bensulide
Bromofenoxim
Dalapon
U. S. A
Nitralin
Japan
-
China
-
Acifluorfen Fomesafen
Acifluorfen
Fomesafen
Propham
Cycloate
Butylate
Pebulate
Cycloate
Butylate
Pebulate
-
Fenoprop
2, 4, 5-T
2, 4, 5-T
Fenoprop
-
Imazamethabenz
Imazapyr
-
Sethoxydim -
-
Bensulide
MSMA
Norflurazon
Benfuresate
Bromacil
Bromacil
Bensulide
Flamprop
Pyrazoxyfen
TCA
Bromacil
Naptalam
242
Herbicides, Theory and Applications
Class of Herbicides EU
U. S. A
Endothal
Flamprop
Fluridone
Flupoxam
Methazole
Sodium Hydrogen
Methylarsenate (MSMA)
Norflurazon
Perfluidone
Pyrazoxyfen
Trichloroacetic Acid
(TCA)
Tridiphane
Benfuresate
Bromacil
Naptalam
Japan
China
Table 1. List of banned herbicides in various countries
R4
O-R1-COOH
R1= CH2, CH3 (CH2)n, (CH2)n
R2=Cl, CH3
R3= Cl, -O-pyridine
R3
R2
R4= Cl
Fig. 1. Parent Chemical Structure of Phenoxycarboxylic Acid Herbicides
herbicides have been used intensively in the control of the growth of grass and the broadleaf weeds in many crops such as paddyfield, wheat, soybean, etc.
Due to their solubility in water, these herbicides are easy to migrate in agricultural
ecosystem causing the pollutions of soil, groundwaters, and air. Phenoxy acid herbicides are
medium toxicity themselves, but their metabolic products (especially some halids)are
harmful to the human and other creatures. Investigations indicate that they could induce the
human parenchyma malignancy tumor and embryotoxicity in animals(Kuang et al., 2006a).
2.1 Sample extraction
Since phenoxy acid herbicides show high polarity and are easily dissolved in the water or
aqueous-phase solution, phenoxyacids and benzonitriles are widely applied as salts or
esters, but they are decomposed rapidly by hydrolysis, in the treated plants, to their
respective phenols or acids. Residues of these acidic herbicides are best extracted from foods
when a hydrolytic step is included to release the free acidic herbicide from the conjugated
products formed with plant components(Rimmer et al., 1996). With this aim, acid or base
hydrolysis has been used. For acid hydrolysis process, samples have to be acidified with
acid solution transferring the analytical objective into the organic phase. It was
reported(Baggiani et al., 2001) that the sample should be acidified with acidification water
(pH < 2), then extracted with proper organic solvent-water mixture. Solvents, such as
Overview of Analytical Techiques for Herbicides in Food
243
acetonitrile, toluene-ether, dichloromethane and etc., can be used to extract the phenoxy
acid herbicides from matrix. For base hydrolysis, alkaline solution (0.1 M NaOH) was used
mostly. Many extraction methods including ultrasonic extraction, shaking extraction,
microwave-assisted solvent extraction(MASE) and supercritical fluid extraction(SFE) have
been reported (table 3).
2.2 Cleanup
Many components in matrix can be co-extracted in sample extraction step and targeted
compounds are generally present in very low concentration, they need to be separated from
undesirable substances effectively. Some authors have previously summarized the primary
cleanup process on these compounds(Cserháti et al., 2004). Liquid-liquid extraction (LLE)
has frequently been used to remove co-extracts from sample constituents. The efficacy of the
method is generally high but requires highly purified and expensive solvents. However,
serious emulsifying phenomenon sometimes is present during the shaking process. Gel
permeation chromatography (GPC) mainly used to remove lipids or colors from extracts
based on the differences of molecule size between targeted compounds and interferences.
Kuang et al., 2006 sucessefully purified 14 phenoxy acid herbicides (M. W. ranging from 180
to 327) from soybean extracts.
However, the most common approach to cleanup in herbicide analysis now is solid-phase
extraction (SPE), sorbents such as aminopropyl(NH2), reversed-phase (C18), strong cation
exchange(SCX) and normal-phase sorbents(florisil, alumina) are very useful for cleaning up
complicated extracts (see table 3).
2.3 Detection
2.3.1 Gas chromatography (GC)
Phenoxy acid herbicides benefit poor volatility for its low pka (acid dissociation constant)
values (see table 2) and derivatization process is needed when analysis by gas
chromatography requires. The most frequently used derivatization reagent is
diazomethane;however, due to its toxicity, carcinogenicity and explosiveness, other
alternative esterification reagents such as sulphuric acid in 1-propanol or in methanol and
boron trifluoride in methanol, n-butanol or 2-chloroethanol have been proposed.
Methylation and PFBBr (pentafluorobenzyl bromide) esterification are common approaches.
Methylating
agents
such
as
boron
trifluoride-methanol,
chloroformate,
trimethylsilyldiazomethane have been reported in detection of phenoxy acid herbicides
(Table 4). Diazomethane was applied for methylation of 6 herbicides (Wei et al., 2005) and
satisfying derivative effects obtained. Trimethylsilyldiazomethane, as a non-toxic nonmutagenic1 alternative to diazomethane is widely used in methyl derivatization. The
summary in table 4 showed that mainly mass spectrometry and electron capture detector
(ECD) were used to detect phenoxy acid herbicides. Other detectors including hydrogen
flame ionization detector (FID) and nitrogen-phosphorus detector(NPD) were also reported
for analysis. Kuang(Kuang et al., 2006a) found that ECD response of methylated product of
phenoxy acid herbicides, especially single-chlorine substituted molecules (MCPA, MCPP,
MCPB etc.), was much lower than that of PFBBr ester. A comparison of the response factors
between PFBBr ester and methyl ester of MCPA, 2, 4-D and 2, 4, 5-T had been made (Lee et
al., 1991). The response factor of the chlorophenoxy herbicide of PFBBr ester was almost 600
times than that of methyl ester.
244
Herbicides, Theory and Applications
Name
Chemical Strucutre
CAS. No
pKa
7085-19-0
3.78
202-360-6
3.07
94-81-5
4.84
94-75-1
2.73
94-26-8
4.80
1918-00-9
1.97
69335-917
3.20
122-88-3
--
28631-358
3.00
3307-39-9
--
588-22-7
--
93-76-5
3.14
93-72-1
3.10
6303-58-8
--
CH 3
Cl
Mecoprop (MCPP)
OCHCO 2 H
CH 3
2-Methyl(4-Chlorophenoxy) Acetic Acid
(MCPA)
Cl
O C H 2C O 2H
CH3
2-Methyl(4-Chlorophenoxy) Acbutyric Acid
(MCPB)
Cl
O ( C H 2 )3 C O 2 H
CH3
Cl
2, 4-Dichlorophenoxyacetic Acid(2, 4-D)
OCH 2 CO 2 H
Cl
Cl
2, 4-Dichlorophenobutyric Acid
O ( C H 2 )3 C O 2 H
Cl
Cl
CO 2 H
Dicamba
OCH 3
Cl
CH3
N
Fluazifop
O
F3C
O
CHCO2H
Cl
4-Chlorophenoxyacetic Acid
OCH2CO2H
Cl
CH3
Dichlorprop
O C H C O 2H
Cl
Cl
CH3
2-(4-Chlorophenoxy) Propionic Acid
OCHCO2H
Cl
Cl
3, 4-Dichlorophenoxyacetic Acid
OCH2CO2H
Cl
Cl
2, 4, 5-(Trichlorophenoxy) Propionic Acid (2,
4, 5-T)
Cl
O C H 2C O 2H
Cl
Cl
CH
Fenoprop
Cl
3
OCHCO
2H
Cl
Phenoxy Butyric
Acid
Table 2. Information for 14 phenoxy acid herbicides
O(CH2)3CO 2H
245
Overview of Analytical Techiques for Herbicides in Food
Matrix
Herbicide
Extraction
Clean-up
Ref
Oranges
2, 4-D
Methanol–homogeniser
-
(Williams et al.,
1997)
Fruits,
vegetables
2, 4-D
Diethyl ether–hexane
(acidic pH),
homogeniser
NH2 cartridge
(TING & Kho,
1998)
Wheat
2, 4-D
Ethanol–water,
homogeniser
LLE–Florisil
column
(Cessna & Holm,
1993)
Onions
Fluazifopbutyl
CO2 –SFE
-
(Wigfield &
Lanouette, 1993)
Fruits,
vegetables
2, 4-D
Methanol–water (basic
pH), blender
C18 cartridge
(Richman et al.,
1996)
Oranges,
grapefruits
2, 4-D
Acetonitrile–water,
homogeniser
LLE
(Rochette et al.,
1993)
Citrus fruits
Dichlorprop
Methylene chloride–
acetone, shaker
LC-SCX
cartridge
(Peruzzi et al.,
2000)
Barley,
triticale
Mecoprop, 2,
4-D
0.1 M NaOH, blender
Ethanol–water,
homogeniser
LLE–Florisil
column
(Cessna, 1992)
(Sánchez-Brunete
et al., 1994)
LLE–Florisil
column
(Su, 1975)
Wheat, barley Phenoxyacids Methanol, homogeniser
Mushrooms
2, 4-D
Diethyl ether (acidic
pH), homogeniser
Alumina
column
(Siltanen, 1978)
Wheat
2, 4-D
0.1 M NaOH–diethyl
ether–hexane (pH 1),
blender
LLE–Florisil
column
(Smith, 1984)
Potatoes,
soybeans
Fluazipopbutyl
0.1 M NaOH, shaker
LLE–Florisil
column
(Clegg, 1987)
Wheat
2, 4-D,
0.1 M NaOH, blender
LLE–Florisil
column
(Cessna, 1980)
acetonitrile-50mM HCl
(v/v 7:3)
LLE- anion
exchange
column
GPC- anion
exchange
column
(Kuang et al.,
2006a; Kuang et al.,
2006b)
Soybean
Phenoxyacids
Table 3. Extraction and cleanup of phenoxy acid herbicides
246
Reagents
Herbicides, Theory and Applications
Matrix
Rice, Soil,
water
Vegetables,
water
water
GC-ECD
(Rompa, 2005)
GC-MS
(Catalina et al., 2000)
water
GC-MS
(Neitzel et al., 1998)
Standards
GC-MS
(Brondz & Olsen, 1992)
water
GC-MS
(Ding et al., 2000)
Standards
GC-NPD
(Bertrand et al., 1987)
Standards
GC-MS
(Lou et al., 1999)
PFBBr
Water, Soil,
rice, air
GC-MS, GCECD
Benzyl bromide
water
Chloromate
water
GC-MS, GC-FID
GC-MS, GCECD
Diazomethane
CH3I
Dimethyl sulfate
Trimethylsulfonium
hydroxide(TMSH)
Tetramethylammonium
hydroxide (TMAH)
tetrabutyl ammonium
salt,TBA
2-cyanoethylmethyldieth
N, O-bis(trimethylsilyl)
trifluoroacetamide,
BSTFA
Concentrated sulfuric
acid
HCl- Acetic Anhydride
BF3
Detection system
GC-MS
Ref
(Wei et al., 2005);
(Hodgeson et al., 1994)
(Cserháti & Forgács,
1998); (Tadeo et al.,
2000)
(Nilsson et al., 1998)
(Butz & Stan, 1993)
water
GC-MS
EPA Method 8151A
water
Soil, Meat,
Rice
GC-MS
GC-MS, GCECD
(Xing et al., 2002)
(Sánchez-Brunete et al.,
1994)
Table 4. Derivatization method of phenoxy acid herbicides
The requirement of the maximum residue limits (MRLs) of phenoxy acid herbicides was
critical, especially in Japan where 2, 4, 5-T can not be detected in foods. Most derivatization
products can be separated on weakly polarity [stationary phase of column, (5%-Phenyl)methylpolysiloxane and medium polarity [(14%-Cyanopropyl-phenyl)-methylpolysiloxane]
capillary columns. Because of the similarity of these herbicides between their structures and
polarities, slow temperature program-up was needed to acquire an effective separation. A
typical programmed temperature is set as follows:
The oven initial temperature 60 ºC holding 1 min and was programmed at 25 ºC /min to 180
ºC, (1min hold), then programmed at 2 ºC /min to 205 ºC, (3 min hold), finally programmed
to 260 ºC at 10 ºC /min (5 min hold).
2.3.2 High performance liquid chromatogeaphy (HPLC)
Considersing weak volatility of phenoxy acid herbicides, liquid chromatographic separation
seems more suitable than gas chromatography. Derivatization, not only is time consuming,
but also affects the reproducibility and stability of the method.
Most phenoxy acid herbicides showed maximal UV absorption ranged from 200-220nm,
where mighty interference existed and stable baseline often can’t be gotten. Thus, some
Overview of Analytical Techiques for Herbicides in Food
247
analysts carried out derivatization process in analysis of these class compounds aimed to
change their chromatographic behavior not to improve the detection sensitivity.
Phenoxy acid herbicides showed high polarity with pKa distributed in 2 to 5(Kuang et al.,
2006a), the analysts need to adjust the pH of the mobile phase. Organic acids such as acetic
acid, trifluoroacetic acid or inorganic acid can be used to adjust the acidity.
The great advantage of HPLC tandem mass spectrometry (HPLC-MS/MS) is its highly
selectivity, which greatly reduce the false positive results in detection. Kim (Kim et al., 1991)
applied HPLC-MS to detect 2, 4, 5-T, 2, 4-D and fenoprop residues in water, which was the
first application of HPLC-MS techniques in phenoxy acid herbicide detection. Ultra
Performance Liquid Chromatography (UPLC) employs 1.7 um particles, resulting in a very
flat VanDeemter plot and a linear velocity faster than usual one with 5 um packings;
consequently, improves resolution, speed and sensitivity for many HPLC methods. Chu,
2008(Chu et al., 2008) realized simultaneous determination of more than 100 herbicides in
soybeans within 11 min by UPLC-MS/MS.
2.3.3 Other analytical methods
Capillary zone electrophoresis(CZE) and micellar electrokinetic chromatography(MEKC)
(Farran & Ruiz, 2004) have been used by some researchers to separate phenoxy acid
herbicides. Trace level analysis by electrophoresis meets some difficulties in detectors. UVVis(Nemoto & Lehotay, 1998) or fluorescence detector is common in the application.
Besides, the process in separation with electrophoresis is greatly depending on the mobile
phase (ionic strength, pH) and peak shif t sometimes is very serious, thus, quantitative
analysis may be inaccurate.
Compared with instrumental separation methods, immunochemical determination
technology exhibits remarkable specificity, sensitivity, rapidness and high throughput in
detection. Moreover, immunochemical methods cost less and can be used in the field. I. A.
Lyubavina, (Lyubavina et al., 2004) used monoclonal antibodies labeled with colloidal gold
to detect 2, 4-D residues in aqueous samples.
3. Dinitroaniline herbicides
R4
R1=Akyl, Halogenated hydrocarbons,Naphthenic ;
R3
R2= Akyl, Halogenated hydrocarbons,Naphthenic , H;
O 2N
NO2
R1
N
R3=NH2, H,CH3;
R4=CF3,CH3,SO2CH3,,SO2NH2,C2-C4 Akyl;
R2
Fig. 2. Chemical structure for dinitroaniline herbicides
Dinitroaniline herbicides are used to control some broad-leaved weeds and the major
annual grasses(García-Valcárcel et al., 1996). There are two classes of dinitroaniline
herbicides depending on different substituents at R4 site (Fig 2). The R4 is alkyl or
halogenated hydrocarbon for class I dinitroaniline herbicides, that is methyl aniline
herbicide. Trifluralin, pendimethalin and ethalfluralin are typical methyl aniline herbicides.
248
Herbicides, Theory and Applications
For class II, the R4 group contains sulfone structure and nitralin belongs to this class. Some
toxicological experiments showed that dinitroaniline herbicides exhibits carcinogenicity and
impaired the normal function of organs. MRLs of some dinitroaniline herbicides in
agricutural products were listed in table 5.
3.1 Sample preparation
Because of the strong polarity of dinitroaniline herbicides, some slightly polarity organic
solvents such as acetonitrile, methanol and acetic ether are most applied to extract these
herbicides from various matrix by a single or mixed manner. Few reports were found using
single non-polar solvents (e. g. n-hexane). For extraction procedure, MASE, SFE, sonication
and pressurized liquid extraction (PLE) are reported (table 6). Some analysts applied solid
phase microextraction (SPME), which is intensively used in headspace analysis, to analyze
dinitroaniline herbicides, but recoveries were poor.
In nitrobenzene herbicide pre-treatment methods, SPE technique was used more often.
Commonly used stationary phase was based on florisil and C18 sorbents depending on
different nature of the targeted compounds and matrix. Florisil maily was used for
removing lipophilic interfences in purification (Huo et al., 2006) procedure and usually
florisil (25g, previously activated with 3% H2O) can adsorbed 1g fat), so particularly suitable
for oily substances Florisil. Some reports have showed that good purification effects (the
average recovery rate was 74% or more) using florisil in cleanup step in food analysis.
Another material - C18 sorbent is also widely used in purification step. Darcy D. Shackelford
(Shackelford et al., 2000) successfully applied C18 sorbent to remove co-extracts in analysis
(recovery> 80%)
3.2 Detection
In the residue analysis of dinitroaniline herbicides, chromatography detection was
dominant, especially GC with high sensitivity and good separation effects based on the
summary of recent 20 year literature. Detectors such as ECD, FID, NPD and MS were used
widely (see table 7)
Herbicide
Trifluralin
pendimethalin
Benfluralin
ethalfluralin
Oryzalin
Agricutural product USA Japan
Grains, fruits,
vegetables and
vegetable oil
Drinking water,
fruits, nuts,
vegetables
Peanuts, lettuce
Soybean, peanuts,
Sunflower seeds
Apples, kiwi fruits,
Pan pomegranate
and drinking water
China Canada
New
Zealand
South
Korea
0.05
0.15
0.050.15
0.5
0.03
0.05
0.1
0.2
0.2
-
0.02
-
0.05
-
-
-
-
-
0.05
-
-
-
-
-
0.05
0.050.2
-
-
0.4
-
Table 5. MRLs of some dinitroaniline herbicides (mg/kg)
249
Overview of Analytical Techiques for Herbicides in Food
Matrix
Solvents for extraction
Cleanup
Recovery %
Carrots and fruit
Hexane + acetic ether (1:1)
SPE (Florisil)
―
Fruits, nuts,
vegetables
Methanol, methanol-water, 2 propionaldehyde and nhexane
GPC&
SPE(florisil)
72-126
Industrial wastewater
and urban domestic
water
Dichloromethane
―
73-99
Soil
Acetonitrile-water
SPE(Florisil)
90-120
Soil, plants and air
Methanol, acetic ether
SPE(Florisil)
75
Blood, urea and water
SPME
―
35-64
Peanuts
Methanol, Dichloromethane
SPE(Florisil)
75.6-80.4
Banana, cucumber,
apple, lettuce and
oranges
Acetonitrile
SPE(C18)
70-120
River water
-
SPE
>80
Canola seed, crude
powder and Refined
oil
Acetonitrile
SPE(C18)
89-96
Fruits and Vegetables
Acetonitrile
SPE
85-101
Soil
Acetone - water - acetic acid
―
96.6
Soil, water
Ether
SPE (C18)
89-104
water
-
SPE
50-77
Soil
Acetonitrile
―
―
Juice
Methanol
SPE (C18)
93.8~99.5
Buckwheat
n-hexane
SPE(Florisil)
>74
Table 6. Extraction and cleanup of initroaniline Herbicides
250
Herbicides, Theory and Applications
Analytical measure
Limit of Detection
(LOD)
Ref
GC/FID
―
(Boyd-Boland &
Pawliszyn, 1995)
GC/ECD
0.01mg/kg
(West et al., 1988)
GC/ECD
0.1 ng/mL (water,
urea)
1 mg/mL(blood)
(Guan et al., 1998)
GC/NPD
0.01 ppm (soil)
0.1 ppb(water)
(Sanchez-Brunete et al.,
1994)
GC/ECD
-
(Hsu et al., 1991)
GC/ECD
GC/ECD
GC/NPD
GC/ECD
Electrochemical analysis
2.5 pg/uL
0.022-0.045 mg /kg
0.1-4.4 μg/kg
2×10-9 mol/L
(D'Amato, 1993)
(Engebretson et al., 2001)
(Fenoll José et al., 2007)
(Cessna & Kerr, 1993)
(Wen et al., 2008)
GC/MS
0.05 -0.1mg /kg
(Tanabe et al., 1996)
GC/MS
0.1-4.6 ug/L
(Albero et al., 2005)
GC/MS
GC/NPD
0.001-0.02 ug/g
(Sánchez-Brunete et al.,
1998)
HPLC/UV
0.5μg/kg-0.02mg/kg (Cabras et al., 1991)
HPLC/ UV
0.09-0.14ug/L
nitralin
HPLC- UV
6.9 ng
Trifluralin
HPLC/ UV
1μg/kg
Trifluralin
HPLC/ UV
0.025mg/kg
(Huang et al., 2004)
Trifluralin
ELISA
0.1-100ng/mL
(Gyöngyvér et al., 2000)
Trifluralin
Immunosensor
2×10-17-3×10-5 ng/mL (Szendr et al., 2003)
Targeted
compounds
Benfluralin,
Trifluralin
Trifluralin,
Benfluralin,
ethalfluralin,
isopropalin,
Benfluralin,
ethalfluralin,
isopropalin,
profluralin,
pendimethalin,
fluchlorlin
pendimethalin
Trifluralin,
ethalfluralin,
profluralin,
Trifluralin
pendimethalin
pendimethalin
Trifluralin
Trifluralin
Benfluralin,
pendimethalin,
Trifluralin
Ethalfluralin,
Trifluralin
ethalfluralin,
Benfluralin
dinitramine
Trifluralin,
ethalfluralin,
pendimethalin,
isopropalin
Trifluralin,
ethalfluralin,
pendimethalin
(Vitali et al., 1994)
(Ruiz de Erenchun et al.,
1997)
(Topuz et al., 2005)
Table 7. Summary of analytical methods for dinitroaniline herbicides
251
Overview of Analytical Techiques for Herbicides in Food
4. Sulfonylurea herbicides
Sulfonylurea herbicides are one of the largest families of herbicides in the world. DuPont
company first reported the herbicidal activity of sulfonylurea compounds and the first
sulfonylurea herbicide- chlorsulfuron was marketed in 1976, which opened the era of superefficient herbicide application(Mughari et al., 2007). Now the number of the patents related
to sulfonylurea herbicides is more than 400. The information of some common sulfonylurea
herbicides was shown in table 8.
These herbicides, which have low toxicity to mammals, are highly toxic to plants and,
consequently, are used at low application rates (3-40 g ha−1). The general structure of the
sulfonylurea herbicides (R-SO2NH-CONH-R, fig) consists of two R groups attached to either
side of the sulfonylurea linkage (fig 3). The R group attached to the sulfur atom of the sulfonyl
moiety can be an aliphatic, aromatic, or heterocyclic group, whereas that attached to the
terminal nitrogen atom of the urea moiety can be a substituted triazine or pyrimidine ring.
In recent years, sulfonylurea herbicides have become very popular worldwide because of
their low application rates, low toxicity to mammals, and unprecedented herbicidal activity.
These herbicides are non-volatile, and their water solubilities are pH dependent being
greater in alkaline than in acidic solution
Y
R1
N
X
SO2NHCHONH
R
N
R2
X=N ,CH
Y=Cl,F,Br,CH3,COOCH3,SO2CH3,SCH3 ,SO2N(CH3)2
,CF3,CH2Cl,OCH3,OCF3,NO2
R=CH3,Alkyl
R1=CH3,Cl
R2=OCH,CH3,Cl
Fig. 3. Parent chemical structure of Sulfonylurea herbicides
4.1 Sample preparation
As weak acids, sulfonylurea herbicides show a more rapid degradation in environment.
Therefore, the concentration of this class herbicides usually found in environmental and
food samples is about 100-1000-fold lower as compared to other herbicides. Generally, the
trace analysis of complex environmental and food samples needs pretreatment steps in
order to reduce matrix interferences and enrich trace level analytes.
Traditional liquid-liquid extraction (LLE) or more rapid and economic solid phase extraction
(SPE) or dispersive solid phase extraction (DSPE) have been reported in sulfonylurea
herbicide detection. Materials such as RP-C18, ion exchangers, mixed mode phases,
graphitized carbon, and polystyrene divinylbenzene supports have been shown to be
valuable sorbents for sample enrichment of various sulfonylurea herbicides in different
matrix. Acidified organic solvents such as acetonitrile, dichloromethane, ethyl acetate
(pH=2) were often used to extract sulfonylurea herbicides from various matrix (table 9).
252
Herbicides, Theory and Applications
sulfonylureas
herbicides
Structures
C O2
oxasulfuron
molecular
formula
MW
pKa
C17H18N4O6S
406.4
5.1
C12H13N5O6S2
387.4
4.0
C14H15N5O6S
381.4
3.3
C14H16ClN5O5S
401.8
4.6
C12H12ClN5O4S
357.8
3.6
C16H18N4O7S
410.4
5.2
C15H16F3N5O4S
419.4
3.8
C14H18N6O7S
414.4
3.7
C15H15N4O6S
414.8
4.2
C15H12F4N4O7S
468.3
5.1
O
N
C H3
N
C H3
S N2N H C O N H
CO2CH3
S
thifensulfuronmethyl
OCH3
N
SO2NHCONH
N
N
CH3
COOCH3
CH3
N
metsulfuron-methyl
N
SO2NHCONH
N
OCH3
O
Cl
OCH3
N
triasulfuron
N
SO2NHCONH
N
CH3
Cl
CH3
N
chlorsulfuron
N
SO2NHCONH
N
OCH3
O
OCH3
COCH3
bensulfuron-methyl
N
CH2SO2NHCNH
N
O
OCH3
CH2CH2CF3
OCH3
N
prosulfuron
SO2NHCONH
N
CH3
O
pyrazosulfuronmethyl
O C2H5
N
SO2NHCO NH
N
C H3
COOC2H5
chlorimuron-ethyl
O C H3
N
N
OC H3
N
Cl
SO2NHCONH
N
OCH3
CO2CH3
primisufuron-methyl
N
OCHF2
SO2NHCONH
N
OCHF2
Table 8. Infromation for some Sulfonylurea herbicides
253
Overview of Analytical Techiques for Herbicides in Food
Matrix
Carrots
Potatoes
Cereals
Rice
Carrots
Garlic
Asparagus
Cereals
Potatoes
Grains
Potatoes
Grains,
cereals
Herbicide
Extraction
Hexane–diethyl
Linuron
ether, homogeniser
Acetone,
Linuron
homogeniser
Methanol,
Metsulfuron
homogeniser
Methylene chloride,
Bensulfuron
homogeniser
Water (acidic pH),
Linuron
shaking
Methanol,
Linuron
homogeniser
Methanol,
Linuron
homogeniser
Ethanol–water,
Chlortoluron
homogeniser
Methanol,
Isoproturon
homogeniser
Acetonitrile,
Sulfonylureas
homogeniser
Acetone,
Linuron
homogeniser
Chlorsulfuron Ethyl acetate, blender
Clean-up
Ref.
Florisil cartridge
(D'Amato, 1993)
LLE–Silica cartridge
(Miliadis &
Vasilikiotis, 1990)
Liquid
chromatography
(Zhou et al., 1994)
Silica cartridge
(Zhou et al., 1996)
-
(Sojo et al., 1997)
Alumina column
(Cessna, 1991a)
LLE–Florisil column (Cessna, 1990)
Silica column
(Pérez et al., 1993)
–
(Yaduraju, 1993)
Cation–exchange
cartridge
(Krynitsky &
Swineford, 1995)
LLE–Florisil column (Mattern, 1989)
LLE–GPC
(Slates, 1983)
Table 9. Extraction and clean-up for sulfonylurea herbicides
In order to determine the multiresidue of oxasulfuron, thifensulfuron-methyl, metsulfuronmethyl, triasulfuron, chlorsulfuron, bensulfuron-methyl, prosulfuron, pyrazosulfuronmethyl, chlorimuron-ethyl and primisufuron-methyl in soybeans, Qi tried various solvent
system including acteone, acetonitrile, dichloromethane, ethyl acetate to optimize the
extraction procedure. It showed that the serious emulsification occured when using
dichloromethane and more interferences were extracted by acteone and ethyl acetate.
Finally, they used acetonitrile to extract these compounds from soybean. For clean-up step,
Qi tested the purification effects of SPE packed with different materials (C18 500mg, Florisil
1000mg &3000mg, Al2O3-Neutral 500mg &1000mg) and satisfied results were obtained
when using SPE columns packed with Florisil (3000mg).
4.2 Detection
Various methods for sulfonylurea herbicide determination have been published up to now.
These compounds are not directly amenable to GC, because of their low volatility and
thermal instability. Few is reported by GC analysis after derivatization.
Most of the applications known are based on HPLC using reversed phase columns followed
either by ultraviolet (UV) or mass spectrometric (MS) detection. The typical conditions for
HPLC separation were set as follows (table 10):
254
Herbicides, Theory and Applications
Column: C18 (250*4.6mm i.d., 5.0µm), temperature 45 ºC; UV wavelength: 230nm
Mobile –phase: acetonitrile-water (pH=2.5, adjusted with 85% phosphoric acid); flow rate:
1.0mL/min
The gradient elution program of HPLC separate condition (table). Qi (Qi et al., 2004)applied
this procedure to analyze the sulfonylurea herbicide residues in soybean samples.
Time
(min)
Water acidfied with Phosphoric acid
(pH=2.5)%
acetonitrile
(%)
0.00
1.75
10.00
13.00
15.00
22.00
22.01
27.00
80
65
60
50
40
40
10
10
20
35
40
50
60
60
90
90
Table 10. Gradient elution program for HPLC
5. Triazine herbicides
Triazine herbicides are a class of herbicides used for protecting crops from weeds before
emergence or during early stage after emergence. The history of their use can be traced back
to1952 when J. R. Geogy synthesized and screened the first triazine derivatives. A great
triazine herbicides are derived from s-triazine (fig 4) For R1 position, this is most often –
Cl(the commercial names ending with ~azine), -SCH3(-tryn) and -OCH3(-ton). The
substitunts at R2 or R3 are usually amino groups. (See table 1)
Triazines and their degradation products are toxic and persistent in water, soil and
organisms(Vitali et al., 1994). Moreover, atrazine is a member of the triazine family and has
been classified as human carcinogen(Dean et al., 1996). From the view of their ecological and
health hazards in use, some triazine herbicides have been banned in certain countries (e. g.
atrazine banned to use in 1991, Germany). In the EU, the maximum allowed limit for each
individual herbicide has been set at 0.1 ugL−1, but the EPA of USA has set the maximum
allowable level of atrazine at 3ug/L−1.
R1
N
N
H
H
N
R3
Fig. 4. Chemical structure for triazines
N
N
R2
255
Overview of Analytical Techiques for Herbicides in Food
Substituents
Compound
Simazine
Atrazine
Propazine
Terbutylazine
Trietazine
Ipazine
Deethylatrazine
Deisopropylatrazine
Deethyldeisopropylatrazine
Hydroxysimazine
Hydroxyatrazine
Hydroxypropazine
Hydroxydeethylatrazine
Hydroxydeisopropylatrazine
Simeton
Atrazon
Desmetryn
Simetryn
Ametryn
Prometryn
Terbutryn
R1
R2
R3
Cl
Cl
Cl
Cl
Cl
Cl
Cl
Cl
Cl
OH
OH
OH
OH
OH
OCH
OCH
SCH3
SCH3
SCH3
SCH3
SCH3
NHC2H5
NHC2H5
NHCH(CH3)2
NHC2H5
NHC2H5
N(C2H5)2
NH2
NHC2H5
NH2
NHC2H5
NHC2H5
NHCH(CH3)2
NH2
NHC2H5
NHC2H5
NHC2H5
NHCH3
NHC2H5
NHC2H5
NHCH(CH3)2
NHC2H5
NHC2H5
NHCH(CH3)2
NHCH(CH3)2
NHC(CH3)3
N(C2H5)2
NHCH(CH3)2
NHCH(CH3)2
NH2
NH2
NHC2H5
NHCH(CH3)2
NHCH(CH3)2
NHCH(CH3)2
NH2
NHC2H5
NHCH(CH3)2
NHCH(CH3)2
NHC2H5
NHCH(CH3)2
NHCH(CH3)2
NHC(CH3)3
Partition
coefficient
between
octanol and
water lg POC/W
2.3
2.7
2.91
3.06
3.07
1.6
1.2
0
1.4
0.2
-0.1
2.69
2.8
3.07
3.34
3.74
Table 11. Information for some triazine herbicides
5.1 Sample preparation
Numerous methods have also been published that examine a large variety of the triazines in
many different matrices. Usually, the targeted compounds are extracted from foods by
mechanical shaking or homogenisation with organic solvents, then clean-up of the extracts
is carried out on SPE columns(Florisil, silica, alumina, cation-exchange cartridge). Triazine
compounds are organic bases and very easy to be absorbed by cation exchange resin.
For the great differences in physical and chemical properties of different triazine herbicides,
a wide array of solvents (acetone, ethanol, ether, chloroform, methanol, water et. c) have
been used in analytical method development. (see table 12)
5.2 Detection
Different analytical methods, such as GC, HPLC and capillary electrophoresis, have been
developed for the separation and quantification of triazine herbicides (table 13). Gas
chromatography mainly with ECD, NPD and MS detection has been extensively employed
for the measurement of triazine herbicide residues. DB-5 capillary column (5 %
polydiphenyl- and 95 % polydimethylsiloxane; 30 m x 0.25 mm, film thickness 0.25 μm) or
its analogue is suitable for triazine analysis.
256
Herbicides, Theory and Applications
Matrix
Herbicide
Extraction
Dichloromethane
maceration,
shaker
Vegetables, rye
Triazines
Cereals,
apples, celery
Triazines
Vegetables
Triazines
Corn,
vegetables,
sugar beet
Simazine
Cereals,
vegetables
Metribuzine
Potatoes
Metribuzine
Fruits,
vegetables
Atrazine
Grape juice
Simazine
Oil
Simazine
Olives
Simazine
Onions
Cyanazine
Vegetables
Triazines
Acetone, blender
Cereals, fruits,
vegetables
Triazines
Methanol,
blender
Methanol,
blender
Acetonitrile–
water,
homogeniser
Water,
homogeniser
Chloroform,
shaker
Acetonitrile–
water, reflux
Water, steam
distillation
Ethyl acetate,
shaker
Diethyl ether
(acidic pH),
shaker
Acetonitrile,
blender
Ethyl acetate,
blender
Ethanol–water,
homogeniser
Clean-up
Ref.
Silica column
(Roseboom &
Herbold, 1980)
LLE–Cationexchange
cartridge
Carbopack
cartridge SCX
column
(Pardue, 1995)
(Battista et al.,
1989)
Alumina
column
(Pringle et al.,
1978)
LLE–Florisil
column
LLE–Silica
column
(Thornton &
Stanley, 1977)
(Ohms, 1976)
C18 column
(Wittmann &
Hock, 1993)
-
(Ortiz-Gomez
et al., 1995)
LLE–Florisil
column
LLE–Florisil
column
Alumina
column
(Montiel &
Sánchez, 1996)
(Cessna &
Benoit, 1992)
(Bailey et al.,
1978)
(Lawrence &
Laver, 1974)
(Mortimer et
al., 1994)
Table 12. Extraction and clean-up for triazine herbicides
Tomkins and Ilgner (Tomkins & Ilgner, 2002) developed a GC-MS method for the detection
of triazine herbicides (atrazine, cyanazine, simazine) and their decomposition products
(deethylatrazine, deisopropylatrazine) in environmental waters. Balduini (Balduini et al.,
2003) meaured the triazine herbicides in breast milk. Five triazines were adsorbed on a
graphitized carbon black SPE cartridge, desorbed and analysed by GC/MS. Detection and
quantification limits were 0.3 and 1 ppb from 1 mL of breast milk. Some triazine herbicides
and their degradation products have been separated by reversed phase HPLC, and their
atmospheric pressure chemical ionization (APCI) or electrospray mass spectra were
measured. The APCI technique gives primarily [M+H]+ ions, but fragment ions are
observed with electrospray and conditions that favor CID The LC/MS techniques are
257
Overview of Analytical Techiques for Herbicides in Food
Matrix
Herbicide
Analytical measure
LOD
Ref
Corn
Atrazine
GC-ECD
0.002
ppm
(Pylypiw et al.,
1993)
Onion
Cyanazine GC-NPD HP-1 Column
10 mg/kg (Cessna, 1992)
Cereals,
vegetables
Metribuzin GC-ECD OV-225 Column
0.01
mg/g
(Ohms, 1976;
Thornton &
Stanley, 1977)
Vegetables,
corn, sugar beet
Oil, olives
Simazine
GC-NPD OV-101 Column
HP-1 Column
mg/kg
0.01 ppm
(Pringle et al.,
1978; Montiel &
Sánchez, 1996)
Rye, vegetables
Cereals, celery,
apples
Triazines
GC-NPD Carbowax 20 M;
OV-225
DB-17
0.01–0.02
mg/kg
0.02–1.0
ppm
(Roseboom &
Herbold, 1980)
Breast milk
Triazines
GC-MS
BPX-5 SGE
0.3-1 ppb
(Pardue, 1995)
GC/MS CP-Sil 5 CB
GC-FID CP-Sil 8 CB,
14-74
ngmL−1
Tap water, rice,
Triazines
maize and onion
(Bailey et al., 1978)
Oranges, corn
Atrazine
HPLC Reversed-phase C18 0.015–
Methanol–water UV 230
0.300
nm
ppm
(Wittmann &
Hock, 1993)
Blueberries
Simazine
HPLC Reversed-phase C18 0.08–0.17
Acetonitrile–water UV
ppm
(Ely et al., 1993)
Grape juice
Simazine
HPLC Reversed-phase C18
(Ortiz-Gomez et
Methanol–acetate buffer
20 mg/ L
al., 1995)
pH 5.0 UV 230 nm
Vegetables
Triazines
HPLC Reversed-phase C18
Acetonitrile–phosphate
10 ng/g
buffer pH 6.7 UV 220 nm
(Battista et al.,
1989)
Oysters
Triazines
HPLC-MS/MS
-
(Wittmann &
Hock, 1993)
Sediments and
water
Triazines
HPLC-APCI-MS/MS
-
(Takats et al., 2001)
-
Triazines
ELISA
<1 ppb.
(Wittmann &
Hock, 1993)
Surface water
Simazine
SPFIA
Table 13. Extracton and cleanup for triazine herbicides
1.3±0.9
ngmL−1
(Bruun et al., 2001)
258
Herbicides, Theory and Applications
appropriate for triazine metabolites and their degradation products that are not amenable to
GC/MS, but they may not provide advantages over GC/MS for most triazine herbicides
and their dealkylated degradation products that are amenable to GC/MS. Hammock ‘s lab
(Wortberg et al., 1995)developed immunoassy to detect four triazines in 1995 and the LOD
of the ELISA was lower than 1ppb. Herranz (Herranz et al., 2008) developed solid-phase
fluorescence immnunoassay (SPFIA) and applied it in simazine detection of surface water
with higher sensitivity (LOD 1.3±0.9 ng/mL).
6. Amide herbicides
Amides, especially of chloroacetic acid and substituted anilines, have been and are popular
herbicides since the first amide herbicide-allidochlor was found 60 years ago. Acetochlor,
alachlor, butachlor, dimethenamide, metolachlor, and propachlor are amides of chloroacetic
acid, and especially acetochlor, is used widely in the world for its high efficiency as the
treatment agents before emergence. They are also in the list of chemical pollutants that need
to be more heavily monitored due to their toxicity and accumulation in environment and
their effects on the environment and human health. Acetochlor was listed as B-2 carcinogen
by EPA (USA). Other acids used to form the amides include propanoic acid and several
substituted benzoic acids(Nartova et al., 2008). An alkyl or alkyloxyalkyl group is usually
substituted for the other hydrogen of the amide nitrogen. Some representative amide
herbicides are shown in table 14.
O
Y
C
X
N
Z
Fig. 5. Parent strucutre for amide herbicides
6.1 Sample pretreatment
For extraction of amide herbicides from food or agricutural products, solvents such as
acetone, acetone-water, petroleum ether or acetonitrile were used widely (table 15). A
typical sample treatment procedure was as follows: sample was extracted by acetone, then
sulfate solution was added to the extracts, and finally LLE procedure was carried out with
petroleum ether. But, the LLE isn’t suitable for purification of some polar compounds (e. g.
alachlor). For complex samples, further clean-up process is needed, usually based on SPE
(florisil, alumina, silica or carbopack cartridge). C18 sorbents mainly used for the clean up of
water samples before analysis solid-phase microextraction (SPME) considered as solventless
analytical techniques, has been reported to detect the acetochlor, alachlor, and metolachlor
residues in water samples.
6.2 Detection
GC was the most common method to detect the amide herbicides, usually equipped with
selective detectors such as ECD, NPD or MS (Li et al., 2006). Acetochlor often can’t be
259
Overview of Analytical Techiques for Herbicides in Food
Name
X
Y
Z
H3C
Acetochlor
-CH2Cl
-CH2OCH2CH3
C2H5
H3C
Alachlor
-CH2OCH3
-CH2Cl
C2H5
H3C
Butachlor
-CH2Cl
-CH2O(CH2)3CH3
C2H5
H3C
Dimethachlor
-CH2Cl
S
-CH(CH3)CH2OCH3
H3C
S
Flufenacet
O
F3C
F
C
H2
N
- CH(CH3)2
N
CH3
O
N
Isoxaben
-H
C2H5
CH3
C2H5
CH3
H3C
Metolachlor
-CH(CH3)CH2OCH3
-CH2Cl
C2H5
CH3
CH
O
-C2H5
Napropamide
-C2H5
Cl
-C(CH3)2C
Pronamide
CH
-H
Cl
Propachlor
- CH(CH3)2
-CH2Cl
Cl
Propanil
-C2H5
-H
Cl
Table 14. Information for some amide herbicides
260
Herbicides, Theory and Applications
separated with atrazine on the capillary column and thus, some analysts used NPD
connected with ECD to realize the simutanious detection of the two compounds. What’s
more, the heated decomposition temperature of some amide herbicdes is low (metolachlor,
105 ºC), which makes difficulties in detection of these compounds by GC.
The HPLC method, based on reversed phase C18 or C8 column, came into being. The mobile
phase often was methanol-water or acetonitrile-water (pH 3, adjusted with acetic acid). MSMS techqiues further improved the analytical selectivity. Steeen, (Ling et al., 2006)used GCMS/MS to detect the pesticide redidues in marine system with LOD ranging from 0.2 to 0.5
ng/L. Striley(Striley et al., 1999) developed ELISA to measure the putative major human
metabolite of metolachlor, metolachlor mercapturate (MM) in human urea. Tessier, (Tessier
& Marshall, 1998) developed immunoassay to detect alachlor in aqueous samples.
Yakovleva, (Szendr et al., 2003) established ELISA and applied to analyze butachlor residues
in mineral, ground and surface water. Other application of detection method was listed in
table 16.
Matrix
Herbicide
Extraction
Water(acidic pH),
homogeniser
Water(acidic pH),
shaker
Acetone-hexane,
blender
Acetonitrile,
homogeniser
Tamotoes
metolachlor
Carrots
metolachlor
Potatoes
metolachlor
Cereals
Chloroacetamides
Vegetables
metolachlor
Methanol, blender
Tea leaves
Amide herbicides
ethyl acetate,
shaker
Soybean
Amide herbicides
Acetone, shaker
Onion
Amide herbicides
Acetonitrile
microwave-assisted
extraction(MAE)
Florisil
cartridge
Water
Amide herbicides
SPME
-
Water
Amide herbicides
water–acetonitrile
MAE
Table 15. Extraction and clean-up for amide herbicides
Clean-up
LLE
-
Ref
(Gaynor et al.,
1993)
(Sojo et al.,
1997)
LLE
(Singh, 1997)
LLE-florisil
column
LLE-silica
cartridge
An active
carbon SPE
column
connected to a
Florisil column
(Balinova,
1988)
(Gaynor et al.,
1992)
Florisil
cartridge
(Shen et al.,
2007)
(Li et al.,
2006)
(Hans-Jürgen
& Manfred,
1993)
(SauretSzczepanski
et al., 2006)
(Fuentes et
al., 2006)
261
Overview of Analytical Techiques for Herbicides in Food
Matrix
Peanut,
cereals
Corn
Herbicide
Analytical Method
Alachlor
NPD, UC-W98
Alachlor, metolachlor ECD
Hydrolysis MS
Tomatoes Metolachlor
Supelcowax
Potatoes Metolachlor
ECD, OV-1
Potatoes,
ECD QF-11DC-200,
tomatoes, Chloroacetamides
Apiezon L
maize
GC-NCI-MS
Tea leaves Amide herbicies
GC-EI-MS
Soybean Amide herbicies
HPLC-UV, C18 210 nm
Carrots
metolachlor
HPLC-UV 220nm
LOD
Ref
0.02–0.05
(Conkin et al., 1978)
ug/g
0.002 ppm (Pylypiw et al., 1993)
10- 50 ppb (Ely et al., 1993)
0.15 ng
(Gaynor et al., 1992)
0.02–0.05
ng
(Singh, 1997)
<2 ug/kg
(Balinova, 1988)
1-7.2 ppb
(Li et al., 2006)
--
(Sojo et al., 1997)
Table 16. analytical methods for some amide hericides
7. Glyphosate
Glyphosate is the common name for N-(phosphonomethyl)-glycine, a total-kill herbicide
(first found its herbicidal activity in 1971, introduced in 1974 by theMonsanto Company
under the trade name “Roundup” and rapidly became one of leading herbicides in the
world.), having the environmental advantages of low mammalian toxicity and rapid
breakdown in the soil leaving no harmful residues. Having pKa values of 0.78, 2.29, 5.96 and
10.98, glyphosate is a very polar and amphoteric compound(fig 6).
Glyphosate is used to control grasses, herbaceous plants including deep rooted perennial
weeds, brush, some broadleaf trees and shrubs, and some conifers(Tsui et al., 2005).
Glyphosate does not control all broadleaf woody plants. Glyphosate applied to foliage is
absorbed by leaves and rapidly moves through the plant. It acts by preventing the plant
from producing an essential amino acid. This reduces the production of protein in the plant,
and inhibits plant growth. Glyphosate is metabolized or broken down by some plants, while
other plants do not break it down. Glyphosate dissolves easily in water.
Aminomethylphosphonic acid (AMPA) is the main break-down product of glyphosate in
plants (Zhao et al., 2009).
O-
O
P
O-
O
O-
N+H3
P
N
+
H2
OO-
O
AMPA
Glyphosate
O
-
O
O
P
O
O-
P
O-
CH3
ONH3+
Glufosinate
O
CH3
MPPA
Fig. 6. Chemical structure for glyphosate, glufosinate and their main metabolites
262
Herbicides, Theory and Applications
Glufosinate [DL-homoalanine-4-yl(methyl)phosphinic acid], is another highly polar amino
acid herbicides. A major breakdown product of glufosinate found in both plants and
animals that have been exposed to glufosinate is 3-methylphosphinicopropioninc acid
(MPPA) (Moye et al., 1983).
Based on the results of animal studies, glyphosate does not cause genetic damage or birth
defects, and has little or no effect on fertility, reproduction, or development of offspring.
There is not enough information available at this time to determine whether glyphosate
causes cancer. There have been no reported cases of long term health effects in humans due
to glyphosate exposure (Tsui et al., 2005). The Food and Agriculture Organization (FAO) of
the United Nations has set a maximum residue limit (MRL) of glyphosate in wheat at 5
mg/kg. The world health organism evaluated glyphosate on its acceptable daily intake
value and the data allocated for glyphosate was 0.3 mg/kg body mass.
7.1 Sample preparation
The main problem in glyphosate and its metabolite analysis is their recovery from biological
or field samples. Glyphosate is a highly polar herbicide, very soluble in water and insoluble
in most organic solvents, which does not allow extraction with organic solvents and makes
the extraction difficult and the preconcentration step quite lengthy.
Due to the amphoteric character of glyphosate and AMPA, both anionic and cationic resins
have been used for preconcentration and clean-up purposes. Another important aspect to be
considered is the binding of glyphosate to organic matter. Some reports showed that humic
substances adsorb glyphosate strongly because the hydrogen bonding interactions between
the hydrogen acidic and the oxygen group of both substances. Glyphosate extraction is
usually carried out with water or water with chloroform, sometimes at acidic pH (table 17).
In this procedure, other water soluble components of foods, like amino acids, amino sugars,
etc. are also extracted. These compounds interfere in the glyphosate determination making
necessary the clean-up of extracts. More often used in this purification step is LLE or column
chromatography on ion exchange columns.
7.2 Detection
Due to their very polar, and in most cases ionic character, Analytical methods for the
analysis of glyphosate and its major metabolite, AMPA, include thin-layer chromatography,
capillary electrophoresis (CE), gas (GC) and liquid chromatography (LC) after
derivatisation.
The availability of derivatisation techniques compatible with an aqueous extract or sample
and the chromatographic separation makes LC an attractive technique. However, for LC
with conventional detection systems, such as UV-Vis or fluorescence detectors, glyphosate
and AMPA need to be derivatised because of the lack of chromophore or fluorophore. Three
different procedures are generally used for the determination of glyphosate with LC: (i)
post-column ninhydrin derivatisation and UV detection; (ii) post-column fluorogenic
labeling with o-phthalaldehyde and mercaptoethanol after oxidation of glyphosate to
glycine; (iii) pre-column derivatization using 9-fluorenylmethyl chloroformate (FMOC-Cl)
with fluorescence detection(FLD).
Post-column derivatisation was used in most of the previous studies for glyphosate analysis
in water and has also been recommended by the US Environmental Protection Agency
(EPA). Moyne and Boning were the first to use the FMOC-Cl reaction for derivatising
glyphosate. A disadvantage of this reaction, however, is its reactivity with water, which
263
Overview of Analytical Techiques for Herbicides in Food
Matrix
Extraction
Corn, fruits,
soybeans
Water, blender
Blueberries
Water,
homogeniser
Legumes, cereals
Water–
chloroform,
shaker
Fruits, field pea,
barley and flax
seed
Berries
Kiwi fruit,
asparagus
fruit juices
Fruits,
vegetables
Cereals
Rice, soybean
sprouts
0.1 M HCl–
chloroform,
blender
Water–
chloroform,
blender
Water–
chloroform,
blender
Water–
chloroform,
blender
Water, overnight
standing
extraction
Water, acetone
homogeniser
Clean-up
LLE–Cationexchange column
LLE–GPC–Cationexchange column
LLE–Cationexchange column–
Anion-exchange
column
LLE–Ligandexchange column–
Anion-exchange
column
LLE–Charcoal–
Cation-exchange
column
LLE–Anionexchange column–
GPC
LLE–Cationexchange column
100 mg C18 SPE
anion-exchange
column
Florisil Cartridge
Cleanup.
Ref.
(Alferness & Iwata,
1994)
(Guinivan, 1982)
(Wigfield & Lanouette,
1991; Wigfield &
Lanouette, 1991)
(Cowell et al., 1986)
(Cessna, 2002)
(Konar & Roy, 1990)
(Benfenati et al., 2006)
(Cláudia et al., 2007)
(Moye et al., 1983)
(Hogendoorn et al.,
1999)
(Tseng et al., 2004)
Table 17. Extraction and clean-up for glyphosate
leads to the formation of a FMOC-OH product (reaction of the acyl chloride with water) in
the reaction mixture. To obtain quantitative yield in derivatisation, excess reagent has to be
used. Different concentrations of FMOC-Cl have been reported in the literature for the
derivatisation of glyphosate, still, there is little or no general agreement concerning the
optimal molar ratio of glyphosate to FMOC-Cl to be used.
The common HPLC conditions for the separation of glyphosate and AMPA were using a
single polymeric amino column and mobile phase at pH 10 which contained 55% (v/v)
acetonitrile and 50mM phosphate buffer.
FMOC-OH by product make it difficult in separation by chromatography, which is
represented by the large peak in front of the glyphosate chromatogram. The FMOC-OH
product completely overlaps the glyphosate peak and creates difficulties in its detection
(Tadeo et al., 2000). The removal of this FMOC product and separation of the glyphosate
peak by column-switching technique using coupled C18 and amino columns was previously
264
Herbicides, Theory and Applications
reported. However, these silica-based columns usually degrade under high alkaline
conditions. Sancho (Sancho et al., 1994). reported that a gradual decrease in efficiency of the
silica-based amino column after two months’ use. Ion chromatography (IC) provides a useful
tool in detecting ionic substance. Zhu used ion chromatography system equipped with anion
exchange column and suppressed conductivity detector to determine the gylphosate in
enviromental samples with LOD 0.042 ug/mL. Patsias (Patsias et al., 2001) developed an
automated method based on the on-line coupling of anion-exchange solid-phase extraction
(SPE) and cation-exchange liquid chromatography followed by post-column derivatization
and fluorescence detection for the trace level determination of glyphosate and its primary
conversion product aminomethyl phosphonic acid (AMPA) in water.
These ionic compounds were also determined in water by liquid chromatography with mass
spectrometry (LC-MS) after derivatization with FMOC, achieving quite low detection limits.
The coupling of ion chromatography (IC) with electrospray mass spectrometry (ES-MS)
opens new ways for the determination of polar organic micropollutants in water samples.
The technique of conductivity suppress ion has been found to reduce the background signal
in the range of about two-orders of magnitude leading to a significant increase in sensitivity.
In addition, the formation of salt adducts has been avoided. Bauer (Bauer et al., 1999)
separated glyphosate and AMPA in water on an anion-exchange column without any
erivatization and detected the signal by IC-ES-MS.
The GC method can be developed to analyze glyphosate through the preparation of Nheptafluorobutyrychloroethyl
ester,
N-trifluoroacetyltrifluoroalkyl
ester,
Ntrifluoroacetylheptafluorobutyl ester and tert-butyldimethylsilyl derivatives. However, it is
a time-consuming procdeure to prepare the derivatives under anhydrous conditions. The
usual detector equipped with GC for glyphosate analysis can be flame photometric, msaaselective detectors or the extreme sensitive electro-capture detector.
Capillary electrophoresis (Corbera et al., 2005), as an important separation technique due to
its high resolving power and speed, was also reported for glyphosate anaysis. Some
(Khrolenko & Wieczorek, 2005) used p-toluenesulfonyl chloride for derivatization prioe to
CE separation, others (Cikalo et al., 1996) incorporates ribonucleotides into the background
electrolyte to realize the indirect photometric detection. Chang (Chang & Liao, 2002)
employed fluorescein as the buffer fluorophore and an argon-ion laser to induce the
fluorescence background for detection of the glyphosate, AMPA, glufosinate and MPPA.
Mass spectrometry (MS) has the potential to be a rigorous direct detection method for these
compounds, particularly in their ionic states. Utilising a simple microelectrospray interface,
Goodwin (Goodwin et al., 2003) analyzed glyphosate, glufosinate and their metabolites on
capillary electrophoresis–mass spectrometry (CE–MS) using a combination of electrical and
pressure drive for interface. The observed concentration limit of detection for glyphosate in
water is 1 mM and for a water–acetone extract of wheat is 2.5 mM, allowing the
underivatised herbicide to be detected at 10% of the maximum residue limit in wheat.
8. Other herbicides
In addition to the above described types of herbicides, imidazolinone (imazethapyr,
imazamox, imazapyr), imazapic, carbamate (isoprocarb, oxamyl, propoxur) and diphenyl
ether herbicides (acifluorfen, chlornitrofen, aclonifen, bifenox and oxyfluorfen) are also
popular in agricultural production.
Overview of Analytical Techiques for Herbicides in Food
265
8.1 Imidazolinone herbicides
This class of herbicide is used to protecing beans, peanuts, corn and other crops from weeds.
These herbicides are used in a small amount for their long-acting effects and trace residues
in soil may cause phytotoxicity on succeeding crop (Lewis et al., 2009). In 2005, canada set
MRL for imazethapyr residue in soybean, 0.1mg/kg. USA regulated the MRL of
imazethapyr residue in rice, 0.3 mg/kg (G/SPS/N/USA/1229). Japan set the MRLs ranging
from 0.01 to 0.5 mg/kg of imazethapyr residue in foods depending on the food types.
There are carboxyl group and imino group in the chemical structure of imidazolinone
herbicdie, which make imidazolinone herbicides show strong polarity, and thus the control
of pH in sample extraction is critical.
Many analytical methods such as HPLC, GC-MS, LC/MS have been reported for
imidazolinone herbicide detection. A typical HPLC method is as follows: the targeted
molecules can be extracted from the matrix with mixed solution of ammonium bicarbonate(0.1
M, pH=5)- methanol(7:3, v/v). The extracts can be partitioned with dichloromethane and the
organic layer was collected and condensed for further clean-up on cation exchange column.
Separation of imidazolinone herbicides can be carried out by C18 column with acetonitrile-1%
acetic acid as mobile phase. The detection UV length can be set 252-258 nm.
With the sensitivity and sepecificity of HPLC-MS (Chu et al., 2008), some analyzed the
imidazolinone herbicides in various matrix. Under positive mode, [M+H]+ can be monitored
for each compound(m/z262 for imazapyr, m/z275 for imazamethabenz acid, m/z306 for
imazamox, m/z276 for imazapic, m/z290 for imazethapyr and m/z312 for imazaquin).
These compounds should be esterized before analysis by GC. Anisuzzaman (Anisuzzaman
et al., 2000) detected the imidazolinone herbicides in soil, water and soybean by GC-NPD
and GC-MS after synthesis of dimethyl derivatives.
8.2 Carbamate herbicides
Three classes of carbamate pesticides are known. The carbamate ester derivatives, used as
insecticides (and nematocides), are generally stable and have a low vapour pressure and low
water solubility. Carbamate fungicides contain a benzimidazole group. It is well known that
carbamate pesticides are esters of carbamic acid, having the general structure
R1NHC(O)OR2, in which R1 and R2 are aromatic and/or aliphatic moieties.
Carbamate herbicides (Vasilescu et al., 2005) are known to repress cell division as a
consequence of their disturbing nucleic acid metabolism and protein synthesis.
Clorpropham, sulfallate and phenmedipham are the representatives of this family
herbicides. Some examples about extraction and clean-up of carbamates and thiocarbamates
are shown in table.
The well-known thermal instability of carbamates has led to the use of HPLC, but its most
usual detectors have a limited sensitivity. In the 1980s, some used post-column hydrolysis
and derivatization with fluorescence detection to overcome these disadvantages. The
carbamates were degraded into methylamine and then derivatized to a fluorescent isoindole
product, which was widely used in carbamate residue analysis in fruits and vegetables. In
addition, many references investigation showed that both ESI and/or APCI with HPLC/MS
were used to analyze the carbamates and APCI can help to reduce matrix effects.
Although careful control of experimental conditions may allow direct determination of
carbamates by GC, large number of experimental factors such as injector temperature,
residence time in the injector, solvent nature and injection mode, are known to affect the
results. Derivatization reactions are therefore required prior to GC analysis.
266
Herbicides, Theory and Applications
Matrix
Herbicide
Rice
Thiobencarb
Potatoes
Chlorpropham
Fruits,
vegetables
Chlorpropham
Methanol, blender
Alumina column
Potatoes
Chlorpropham
Acetone,
homogeniser
LLE
Garlic
Triallate
Methanol,
homogeniser
LLE–Florisil
cartridges
Alumina column
Potatoes
Chlorpropham
Dichloromethane
(water), blender
–
Lentils
Triallate
Acetonitrile, shaker
Alumina column
Chlorpropham,
propham
Chlorpropham,
propham,
triallate
Dichloromethane
(water), blender
Silica-TLC
Ethyl acetate,
homogeniser
LLE–Florisil
column
Potatoes
Chlorpropham
Water suspension,
solid-phase
microextraction
fruit and
vegetables
carbamate
herbicides
acetonitrile
(MeCN) containing
1% acetic acid
(HAc)
dispersive-SPE
cleanup step
(primary secondary
amine+ C18)
Potatoes
Fruits,
vegetables
Extraction
Methanol or
acetone, blender
Tetrahydrofuran–
water–acetonitrile
–acetic acid,
homogeniser
Clean-up
–
–
Ref.
(Au &
Fung, 1988)
(Camire et
al., 1995)
(Wilson et
al., 1981)
(TsumuraHasegawa
et al., 1992)
(Cessna,
1991b)
(Mondy et
al., 1992)
(Cessna,
1980)
(Corti et al.,
1991)
(Blaicher et
al., 1980)
(Volante et
al., 1998)
(Martínez
Vidal et al.,
2006)
Table 18. Extraction and clean-up for some carbamate herbicides
The main derivatization reactions applied to the family of herbicides involve the N-protection
for carbamates. Among them, silylation, acylation and alkylation, together with reactions of
transformation into aniline have been used. An N-protection reaction for derivatization of
compounds containing an NH-reactive group, based on the use of sodium hydride/dimethyl
sulphoxide/methyl iodide (NaH/DMSO/CH3I) has been frequently used.
8.3 Diphenyl ether herbicides
Among the herbicides being used, diphenylether compounds of herbicide are mainly
introduced at pre- or post-emergence in controlling annual broad-leaved weeds and some
types of grasses in numerous crops like rice, cereals, maize, etc(Murakami et al., 1988). This
class of herbicides has proved to be an inhibitor of protoporphyrinogen oxidase, that leads
to the accumulation of protoporphrin and therefore blocks the formation of chlorophyll.
Molecules that inhibit protoporphyrinogen oxidase (Protox) have been among the most
Overview of Analytical Techiques for Herbicides in Food
267
frequently patented class of herbicides over the past decade. Commercial Protox inhibitors
can be classified in a major chemical group, the p-nitrodiphenyl-ethers, commercially known
as the diphenyl-ethers (DPhE).
This class of herbicides is mainly composed of esters but few compounds are acids or have
an acidic behavior, with pKa comprised between 2.7 and 3.8. There are two main
metabolites that arise from the degradation of the DPhE herbicides studied, bifenox acid
from the hydrolysis of bifenox and acifluorfen from the degradation of lactofen and
fluoroglycofen. Bifenox and oxyfluorfen are reported to be carcinogenic or suspected to be
carcinogenic compounds (Sabino et al., 2004).
The herbicides in this category have a 2-chlorodiphenyl ether nucleus in common, and most
also have nitro and trifluoromethyl substituents. As this class of compounds is usually
nonvolatile and thermally unstable, most of the direct methods have been performed by
using LC. Acifluorfen and fomesafen can be separated on a C-18 column, with a slightly
acidic mobile phase, followed by electrospray to give [M-H]- ions. Lactofen and oxyfluorfen
were also separated on a C-18 column, but without acid in the mobile phase.
Oxyfluorfen is amenable to GC separation (Wong et al., 2003), and nitrofen, with a similar
structure, should have favorable properties for GC. Shen (Shen et al., 2008) extracted DPhE
from vegetables sample with acetonitrile, then the extract was cleaned up by Envi-Carb SPE
column connected to Alumina Neutral SPE column, determined by gas chromatographynegative chemical ionization mass spectrometry. The lactofen esters may be amenable to GC
separation, but the acid acifluorfen and the sulfonamide fomesafen require derivatization
for GC.
DPhE showed good solubility in acetone and acetonitrile and both organic solvents can be
miscible with water. However, acetone can extract more interferences from matrix,
expecially from samples containing high fat and thus, acetonitrile is used a lot in DPhE
extracting from agricutral products. Considering the polarity of DPhE, sorbents such as
florisil or alumina are suitable for clean-up steps.
9. Conclusion
Food analysis entails important difficulties owing to the complexity of the sample matrix.
Most methods for the analysis of pesticide residues described in the literature use a
combination of some form of extraction with an organic solvent, with one or several cleanup and purification steps to remove coextractants before the sample is subjected to a further
separation/detection technique.
One of the current trends of modern analytical chemistry is the miniaturization of the
various tools daily used by a large number of researchers. Ultrafast separations,
consumption of small amounts of both samples and reagents as well as a high sensitivity
and automation are some of the most important goals desired to be achieved.
9.1 Sample treatment
Sample treatment has been recognized as the main bottleneck of the analytical process,
especially when trace analysis is the purpose. For many years a large number of research
laboratories and analytical instrument manufacturing companies have been investing their
efforts in this field, which includes miniaturized extraction materials, sample pre-treatment
procedures and separation techniques.
268
Herbicides, Theory and Applications
Solid-phase microextraction (SPME) is a relatively new technique introduced by Pawliszyn
and coworkers in the early 1990s (Janusz, 1997). The feature of this technique is that it
enables sample preparation and enrichment in one step. SPME is based on the partitioning
of analytes between a coated fibre and a sample. The coated fibre consists of a small fusedsilica rod coated with a thin layer of a sorbing material. Upon exposure to the vapour phase
above a solution or upon direct immersion in the solution, a mass-transfer process begins,
driven by the second law of thermodynamics, according to which the chemical potential of
each compound should be equal throughout the system. If the analyte is in the gas phase
and the extractant is liquid, dissolution of the gas in the liquid is the main process, and that
is governed by Henry’s law and Raoult’s law. As solubility is the main concept, partition of
the analyte between the gas and the liquid phases will take place and all variables affecting
it will influence the extraction (Volante et al., 1998).
PLE (pressurized liquid extraction) is another extraction technique recently attracted
considerable attention. PLE is a sample preparation technique that combines elevated
temperature and pressure with liquid solvents to achieve fast and efficient extraction of the
analytes from solid matrices (Marchese et al., 2009). In PLE, the variables that affect
extraction efficiency are the nature of the solvent or mixture of solvents, the solvent
volume/sample mass ratio, extraction pressure and temperature, the number of extraction
cycles and the duration of each cycle. However, the temperature and type of solvent seem to
be the two variables with the greatest bearing on the extraction process. The solvents
commonly used in pesticide extraction from vegetables and fruit are acetone, n-hexane,
ethyl acetate, dichloromethane and water, while those least used are acetonitrile, ethanol
and 1-propanol (Nemoto & Lehotay, 1998).
Molecularly imprinted polymers (MIPs) with better specificities than those of traditional
SPE adsorbents have recently been introduced as novel matrices for the extraction and
clean-up of target compounds (Hu et al., 2010). To date, many papers describing the use of
MIPs as SPE materials to clean-up and preconcentrate trace compounds from various
matrices have been published (She et al., 2010; Baggiani et al., 2001; Sambe et al., 2007;
Mhaka et al., 2009). She et al, 2010 prepared class-specific molecularly imprinted polymers
for the selective extraction and determination of sulfonylurea herbicides in maize samples
by high-performance liquid chromatography–tandem mass spectrometry.
9.2 Separation system
Among the separation techniques, capillary electromigration methods (which also include
capillary electrochromatography, CEC), microchip and nano-LC/capillary LC have received
especial attention. Besides their well known advantages over other separation tools, the role
of these miniaturized techniques in food analysis is still probably in an early stage. In fact,
applications in this field carried out by CEC, microchip, nano-LC and capillary LC are only a
few when compared with other more established procedures such as conventional GC or
HPLC (Myint et al., 2009).
In the last few years biosensors have shown great potential as analytical tools for the
development of rather automatic, fast and direct analysis methods that in many cases avoid
sample pretreatment or requireminimal sample preparation, allowing on-site field
monitoring (Salmain et al., 2008). For example, an optical fiber based biosensor was
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chloride(Védrine et al., 2003).
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14
Enantioseparation and
Enantioselective Analysis of
Chiral Herbicides
Lixia Jin1, Weiliang Gao1, Ling Li1, Jing Ye2,
Chunmian Lin1 and Weiping Liu1,2
1Research
Center of Environmental Science,
College of Biological and Environmental Engineering,
Zhejiang University of Technology, Hangzhou 310032
2Ministry of Education Key Laboratory of
Environmental Remediation and Ecosystem Health,
College of Environmental and Resource Sciences,
Zhejiang University, Hangzhou 310029
China
1. Introduction
Many commercial agrochemicals in current use contain chiral structures and thus consist of
enantiomers. Here chiral herbicide is one of the most important agrochemicals which are
widely used. Enantiomers of a chiral compound have identical physical-chemical properties
and appear as a single compound in standard analysis. However, the biological effects of
enantiomers such as toxicity, mutagenicity, carcinogencity, and endocrine disruption
activity, are generally different, due to the inherent enantioselectivity of biological
interactions.
According to the chemical structure, the familiar chiral herbicides have been classified with
amide herbicides, phenoxy herbicides, imidazolinone herbicides, organophosphorus
herbicides and so on. The analysis and preparation of pure enantiomer herbicides have been
summarized with HPLC, GC, CE and SFC methods. Finally, information concerning the
stereoselective toxicity and degradation of chiral herbicides in environmental behavior has
been offered.
282
Herbicides, Theory and Applications
2. Classification of chiral herbicides
2.1 Amide herbicides
O
∗
Cl
O
∗
OH
N
Cl
O
Cl
O
OH
∗
N
N
∗
benzoylprop
metolachlor
flamprop
arylalanine herbicides
O
S
OH HN
O
∗
N
F
F
∗
O
N
F
∗
O
N
H
∗
N
∗
Cl
O
O
∗
∗
O
O
O
O
metamifop
S
O
O
∗
O
napropamide
∗
O
N
H
F
∗
Cl
N
O
CF3
beflubutamid
F
∗
anilide herbicides
O
∗
pentanochlor
N
N
H
naproanilide
cisanilide
O
H
N
Cl
O
N
∗
prynachlor
acetochlor
(RS)-3′,4′-dichloro-2-methylvaleranilide
clomeprop
N
N
O
Cl
Cl
H
N
H
N
Cl
∗
Cl
O
F
O
profluazol
pyrimisulfan
sulfonanilide herbicides
O
N
chloroacetanilide herbicides
O
S
Cl
HN
O
O
Cl
N
O
Cl
∗
O
O
Cl
O
F
O
O
Cl
∗
dimethenamid
N
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Enantioseparation and Enantioselective Analysis of Chiral Herbicides
2.2 Phenoxy herbicides
Cl
Cl
H
N
∗
O
Cl
O
O
O
Cl
clomeprop
∗
O
2,4-D-ethylhexyl
NH2
F
O
Cl
Cl
N
O
O
∗
Cl
O
fluroxypyr-meptyl
O
O
Cl
NO2
∗
etnipromid
O
O
∗
F3C
∗
OH
O
F3C
trifopsime
Cl
∗
N
O
difenopenten
Cl
∗
OH
O
O
O
O
Cl
N
H
O
∗
OH
O
O
O
Cl
O
dichlorprop
4-CPP
cloprop
OH
Cl
Cl
Cl
∗
Cl
OH
O
O
3,4-DP
Cl
∗
O
OH
Cl
O
fenoprop
phenoxypropionic herbicides
∗
O
O
CH3
mecoprop
OH
284
Herbicides, Theory and Applications
N
N
Cl
O
Cl
∗
Cl
O
F
OH
O
N C
(R)
O
O
(R)
F
OH
O
OH
O
O
chlorazifop
O
clodinafop
cyhalofop
N
Cl
O
Cl
∗
O
∗
Cl
OH
O
F3C
OH
O
O
clofop
O
haloxyfop
diclofop
N
N
F3C
O
F3C
∗
O
Cl
∗
OH
O
∗
Cl
Cl
isoxapyrifop
S
O
Cl
O
N
O
∗
OH
O
N
O
F
∗
N
N
O
OH
O
quizalofop
Cl
O
N
∗
O
O
fenthiaprop
O
N
OH
O
O
fenoxaprop
N
N
∗
O
O
trifop
O
N
O
O
fluazifop
Cl
O
OH
O
O
Cl
∗
Cl
OH
O
O
O
∗
O
O
O
O
N
O
metamifop
propaquizafop
aryloxyphenoxypropionic herbicides
2.3 Imidazolinone herbicides
O
O
H
N
∗
H
N
O
∗
N
O
OH
O
∗
N
O
OH
O
∗
O
O
imazapyr
OH
O
H
N
∗
N
N
O OH
imazapic
OH
O
H
N
∗
N
O
imazaquin
OH
N
∗
N
imazamox
N
N
H
N
N
O
imazamethabenz
H
N
H
N
N
N
O
OH
imazethapyr
285
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
2.4 Organophosphorus herbicides
O
S
O
S
P
∗
Cl
NH
O
OH
P
H2N C
O
∗
O
S
NH
O
∗
O
S
NH
O
P
∗
O
P
∗
∗
Cl
NO2
amiprofos-methyl
O
O
P
O
O OH
P
HO
NH2
glufosinate
NO2
butamifos
O
S O
P
S ∗ O
N
∗
fosamine
∗
NO2
amiprofos
DMPA
NH
∗
HO
H
N
O
O
piperophos
O
∗
O
P
∗
N
H
∗
OH
NH2
bilanafos
2.5 Diphenyl ether herbicides
O
O
O
F3C
O
Cl
Cl
O
OH
(S)
O
F3C
Cl
ethoxyfen
∗
O
O
NO2
∗
O
O
Cl
NO2
O
O
F3C
furyloxyfen
lactofen
2.6 Other herbicides
O
HO
NH2
NH2
Cl
F
Cl
Cl
N
O
O
∗
O
fluroxypyr butoxypropyl ester
F
Cl
Cl
N
Cl
∗
O
O
O
∗
O
fluroxypyr-butoxypropyl
O
O
H3C S O
O
ethofumesate
∗
O
F
N
O
N
N
F
F
carfentrazone
3. Chromatographic methods for chiral herbicides
3.1 Separation of chiral herbicides by HPLC
HPLC combined with kinds of CSPs is one of the most common and easily obtained
approaches for enantiomer analysis and preparation. Today, CSPs have been developed at
least seven classes, including Pirkle-type CSPs, polysaccharides CSPs, cyclodextrins CSPs,
macrocyclic glycopeptide antibiotics CSPs, proteins CSPs, crown ethers CSPs and ligand
exchange CSPs, etc. Profiting from the development of CSPs, chiral HPLC methods have
held the balance both for determining optical purity of enantiomers and for preparing
enantiopure standards.
A group of herbicides, diclofop-methyl, quizalofop-ethyl, lactofen, fluroxypyr-meptyl,
acetochlor, ethofumesate, clethodim, napropamide, fenoxaprop-ethyl and carfentrazoneethyl, were partial or near-baseline separated on self-prepared amylose tris-(S)-1phenylethylcarbamate CSP by HPLC with η-hexane/isopropanol as mobile phase (Wang et
al., 2006).
286
Herbicides, Theory and Applications
Chiral pyrazole phenyl ethers (PPE) are highly active herbicides which were resolved by
direct HPLC on commercially available CSPs derived from N-3,5-dinitrobenzoyl derivatives
of α-amino acids or amines (Whelk-O 1). Chromatographic resolution obtained was suitable
for determination of enantiomeric purities and, in some cases, for preparative resolution of
the enantiomers with ee>99% (Hamper et al., 1994). (+)- and (–)-enantiomers of thiobencarb
sulfoxide were collected with purities more than 99.0% ee and 99.8% ee on a Chiralcel OB
column at 25 °C, 1 mL/min 95/2.5/2.5 hexane/EtOH/MeOH as a mobile phase (Kodama et
al., 2002).
3.1.1 Enantioseparation of amide herbicides by HPLC
Amide herbicides are a group of important chiral herbicides, and metolachlor, which
contains two chiral elements (an asymmetrically substituted carbon and a chiral axis),
consists of four stereoisomers stable at ambient temperature with aSS-, aRS-, aSR-, and aRRconfigurations. Two of the four metolachlor isomers were isolated from rac-metolachlor in
enantio- (ee>98%) and diastereomerically pure forms by a combination of achiral Hypercarb
PH and chiral chiralcel OD-H HPLC with 98/2 n-hexane/IPA. The enantiomer elution
sequence is aS prior to aR (retention times, aSS<aRS and aSR<aRR) and 1’S prior to 1’R
(retention times, aSS<aSR and aRS<aRR) (Muller et al., 2001). Baseline separation of four
metolachlor isomers by HPLC was achieved on Chiralcel OD-H using 91/9 Hex/diethyl
ether as the mobile phase by Polcaro et al. (Polcaro et al., 2004). Enantiomers and
diastereomers of some acetamide pesticides, alachlor, acetochlor, metolachlor, and
dimethenamid, were separated using achiral and chiral high-resolution GC/MS
(HRGC/MS) and chiral HPLC. Chiral HPLC using modified cellulose and phenylglycine
columns also showed some isomer resolution. A novel thermal equilibration procedure
allowed distinction among axial-chiral and C-chiral enantiomers (Buser et al., 1995).
Additionally, acetochlor enantiomers were partial identified with a cellulose derivative
fixed phase CDMPC by HPLC with n-hexane or petroleum ether with different percents
alcohol (Peng et al., 2005). And dimethenamid-P was completely resolved on a normal phase
Chiralpak AD-H column (Saito et al., 2008).
Another typical amide herbicide, napropamide, was separated both by normal phase HPLC
and by reverse phase HPLC by Liu et al. (Chen et al., 2006, Zhou et al., 2006). In the former
research, a method for the chiral separation and micro-determination of napropamide in
water was established on a Chiralcel OJ-H column. The linearity of calibration curve for
racemic mixture was 10-100 ng/mL and the correlation coefficient was 0.99 (Chen et al.,
2006). In the latter, the enantiomers were resolved using Chiralcel AD-RH and Chiralcel ODRH with MeCN/H2O as mobile phase. The stereoselectivity of Chiralcel AD-RH was better
than Chiralcel OD-RH for napropamide (Zhou et al., 2006). In a report by Zhou et al. (Tian et
al., 2010), napropamide was partially separated (Rs 1.05) under 40/60 MeCN/water reverse
phase HPLC on amylose tris(3,5-dimethylphenylcarbamate) CSP (ADMPC).
Flamprop was resolved on 150×4.6 mm I.D. terguride-based CSP (selectivity factor α 1.09)
by using 45% 0.02 M potassium acetate buffer (pH 3.5) and 55% MeCN as the elution solvent
by HPLC (Padiglioni et al., 1996).
3.1.2 Enantioseparation of phenoxy herbicides by HPLC
Phenoxy herbicides are a large group of chiral herbicides with widespread application in
agriculture. The most representative herbicides are diclofop, mecoprop (MCPP),
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
287
dichlorprop (DCPP) and their derivatives as classified with phenoxypropionic acids
herbicides, which are widely applied to control broad-leaf weeds. In Padiglioni’s study
(Padiglioni et al., 1996), MCPP, DCPP, diclofop, fenoxaprop, fenoprop, fluazifop, haloxyfop,
quizalofop-ethyl ester and quizalofop were well resolved on 150×4.6 mm I.D. terguridebased CSP by using 0.02 M potassium acetate buffer (pH 3.5)-MeCN as the mobile phase by
HPLC. Furthermore, a semipreparative-scale separation of fenoprop enantiomers was
carried out on a 250×7.8 mm I.D. column, yielding approximately 1.0 mg of each enantiomer
in a single chromatographic run, with a recovery of 88% and optical purity greater than
99%.
Several phenoxypropionic acid herbicides were separated on two CD-derivatived CSPs,
Nucleodex α-PM and Nucleodex β-PM. Phenoxypropionic acids can be divided into three
different groups. The first one has one or two small substituents such as methyl, chlorine or
hydroxyl at the aromatic ring (e.g. MCPP, DCPP). The separation of MCPP and DCPP was
possibly conducted using NUCLEODEX α-PM CSP, whereas the methyl ester of these
compounds was resolved by both Nucleodex α-PM and Nucleodex β-PM. A further
substitution (e.g. fenoprop R1, R2. R3=C1, R4=H) leads to the second group and results in
the failure of the permethylated α-CD to achieve separation, but fenoprop can be sufficiently
resolved by Nucleodex β-PM. The third group contains compounds like fenoxaprop or
diclotop with large substituents at the aromatic ring. In this case only the methyl or ethyl
esters can be separated by permethylated β-CD. No resolution can be obtained with
Nucleodex α-PM (Riering et al., 1996). Resolution of MCPP and DCPP and 2,4-D were
proved to be obtained on Nucleodex-α-PM-CD CSP with 70% MeOH and 30% 50 mM
NaH2PO4 as elutent by Kohler et al. (Zipper et al., 1999) and Bjerg et al. (Rugge et al., 2002).
MCPP and DCPP, and bromacil with a pyrimidinedione ring were better resolved on the
native teicoplanin CSPs than the aglycone teicoplanin CSPs with 100% MeOH containing
0.1% TEA and 0.1% acetic acid (v/v) and 20/80 MeOH/water buffered at pH 4.1 by 1%
TEAA for bromacil by HPLC (Berthod et al., 2000a). Furthermore, MCPPM and DCPPM
were better resolved on the native teicoplanin CSPs with 20% MeOH/80% aqueous buffer
(pH 4.1 by TEAA, 1%). However, the resolution for bromacil with a pyrimidinedione ring
was higher on teicoplanin structurally related A-40926 CSP than on teicoplanin CSP (Rs 2.8
vs. Rs 2.5) (Berthod et al., 2000b). Rac-diclofop methyl and rac-diclofop acid were baseline
separated on a chiralcel OJ-H column using chiral HPLC coupled with fluorescence
detection with a mobile phase of Hex/IPA/HAc (90:10:0.2, v/v) at a flow rate of 0.5
mL/min under 20 °C (Lin et al., 2006) while in a report by Zhou et al. (Gu et al., 2010), they
were completely resolved on CDMPC CSP with Hex/IPA(98:2) containing 0.1% TFA as
mobile phase by HPLC-DAD.
A group of 2-aryloxypropionic acids (TR-1 to 13) and their esters (TR-19 to 20) were used to
evaluated four new brush-type CSPs (CSP I-IV) comprising N-3,5,6-trichloro-2,4dicyanophenyl-L-α-amino acids by HPLC. The best separation of these herbicides was
obtained with CSP I, and the -(–)-S enantiomer were regularly eluted first. The mechanism
of chiral recognition implies a synergistic interaction of carboxylic acid analyte with the
chiral selector and achiral free γ-aminopropyl units on silica. (Vinkovic et al., 2001) In a
study by Badjah-Hadj-Ahmed (Tazerouti et al., 2002), eleven 2-aryloxypropionic acids and
esters herbicides were partially separated on the prepared phenylated β-CD CSP when
using heptane and either IPA or chloroform as organic mobile phase modifier.
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Herbicides, Theory and Applications
Enantioseparation of 2,4-DP and MCPP was obtained completely using enantioselective
HPLC on a chirobiotic T column with 5:95 MeOH and 1% TEAA as mobile phase
(Schneiderheinze et al., 1999).
Fenoxaprop-ethyl could obtain baseline separation on ADMPC CSP by reversed phase
HPLC with MeOH/water or MeCN/water at a flow rate of 0.5 mL/min, while the
enantiomers of quizalofop-ethyl, fluroxypyr-meptyl and 2,4-D-ethylhexyl got partial
separation (Tian et al., 2010).
A group of chlorophenoxypropionic acid herbicides 2,2-CPPA, 2,3-CPPA and 2,4-CPPA
were separated in capillary LC, while with 0.1 mM teicoplanin in the mobile phase was
sufficient for the baseline enantioresolution of 2,2-CPPA and 2,4-CPPA (Kafkova et al., 2005).
Eight commercially available herbicides, dimethenamid-P, dichlorprop-P, fluazifop-P butyl,
mecoprop-P, quizalofop-P ethyl, were completely resolved by HPLC combined with a
photodiode-array (PDA) detector and a circular dichroism (CD) detector on a normal phase
Chiralpak AD-H column (Saito et al., 2008). Optical purity measurement was developed. The
enantiomeric excess (ee) of some herbicides investigated was approximately over 95%, while
of quizalofop-P ethyl and fluazifop-P butyl was in the range 34.1-94.5%.
3.1.3 Enantioseparation of imidazolinone herbicides by HPLC
Imidazolinones are a class of chiral herbicides that are widely used. They inhibit branchedchain amino acid biosynthesis in plants by targeting acetolactate synthase (ALS). Five
imidazolinone herbicides imazapyr, imazapic, imazethapyr, imazamox and imazaquin and
their methyl derivatives were separated using reversed phase HPLC on Chiralcel OD-R and
normal phase HPLC on Chiralcel OJ (Lao et al., 2006a). Enantiomers of imazethapyr,
imazaquin, and imazamox were separated on a Chiralcel OD-R column using 50 mM
phosphate buffer-MeCN as mobile phase. Enantiomers of imazethapyr, imazaquin, and
imazamox were separated on a Chiralcel OD-R column using 50 mM phosphate bufferMeCN as mobile phase. Enantiomers of imazapyr, imazapic, imazethapyr, imazamox,
imazaquin and their five methyl derivatives were resolved on a Chiralcel OJ column using
Hex (0.1% TFAA)-alcohol as mobile phase. The described normal phase method was
successfully applied for chiral analysis of two imidazolinone herbicides (imazapyr and
imazaquin) in spiked soil samples. In a further report (Lao et al., 2006b), temperature affects
on enantioseparation of these five imidazolinone herbicides and conformation of CSP were
conducted on Chiralcel OJ. The van't Hoff plots of retention factor (k’), distribution constant
(K) and separation factor (α) for imazapyr, imazapic, imazethapyr, and imazamox were
linear within 15-50 °C. Nonlinear van't Hoff plots of α were observed for imazaquin with
mobile phase of Hex (0.1% TFA)-IPA at 70/30 or 60/40 (v/v). Chiralcel OJ column may
yield satisfactory results at 15-50 °C but not at ≤ 15 °C.
Recently, Lin et al. (Lin et al., 2007) also investigated the enantiomeric separation of
imazethapyr, imazapyr, and imazaquin on Chiralpak AS, Chiralpak AD, Chiralcel OD, and
Chiralcel OJ columns. Chiralcel OJ column showed the best chiral resolving capacity among
the test columns. The optimal chromatographic conditions for complete separation of
imidazolinone enantiomers were a mobile phase of Hex/EtOH/HAc (77/23/0.1, v/v/v),
flow rate of 0.8 mL/min, and a column temperature in the range of 10–30 °C. It was showed
that small amounts of enantiopure imidazolinones may be prepared by using the analytical
chiral HPLC approach.
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
289
Enantiomers of imazethapyr were separated by HPLC on Chiralcel OJ with a
Hex/EtOH/HAc solution (75/25/0.5 by volume) (Zhou et al., 2009, Zhou et al., 2010), and
their absolute configurations were confirmed as S-(+)-IM and R-(–)-IM by the octant rule as
shown in Fig. 3-1.
Fig. 3-1 HPLC chromatogram for the enantiomeric separation of imazethapyr on Chiralcel
OJ. (Zhou et al., 2009)
3.1.4 Enantioseparation of organophosphorus herbicides by HPLC
Five chiral O-aryl O-alkyl N-alkylphosphoramidothioates herbicides were nearly baseline
separated on a pirkle-type column OA-4700 (Chirex(S)-LEU & (R)-NEA) by HPLC. The
chromatographic elution order is S>R, and the S-enantiomer showed higher herbicidal
activity than R-enantimer and/or racemates (Gao et al., 2000).
In another report by our group (Li et al., 2008), enantioselective separation and biological
toxicity of a series of 1-(substituted phenoxyacetoxy)alkylphosphonates organophosphorous
compounds (OPs compounds 1-5) were investigated on Chiralpak AD, Chiralpak AS,
Chiralcel OD, and Chiralcel OJ. All the analytes investigated obtained baseline resolution
(Rs>1.5) on Chiralpak AD, which showed best chiral separation capacity. The acute aquatic
toxicity of enantiomers and racemate to Daphnia magna (D. magna) were assessed. The in
vivo assays showed that compound 3 was about 2-148.5 times more toxic than the other four
analogues to D. magna. The racemates of compounds 3 and 5 showed intermediate toxicity
compare to their enantiomers, while those of compounds 1, 2, and 4 showed synergistic or
antagonistic effect. These results suggest that the biological toxicity of chiral OPs to
nontarget organisms is enantioselective and therefore should be evaluated with their pure
enantiomers.
3.1.5 Enantioseparation of diphenyl ether herbicides by HPLC
Ethoxyfen-ethyl and lactofen were separated using HPLC on polysaccharide CSPs by Zhou
et al. (Wang et al., 2006, Tian et al., 2010, Hou et al., 2002, Diao et al., 2009). Enantioseparation
of a novel herbicide ethoxyfen-ethyl was conducted on self-prepared CDMPC, and with the
content of IPA in hexane in mobile phase decreased to 1%, the resolution factors increased to
3.95 (Hou et al., 2002). The two enantiomers of the herbicide lactofen in soils were baseline
290
Herbicides, Theory and Applications
separated and semiprepared on CDMPC using a normal phase HPLC (n-Hex/IPA 95/5).
However, the baselined separation was not obtained on a self-prepared tris-(S)-1phenylethylcarbamate CSP (Wang et al., 2006). And lactofen also could be completely
resolved (Rs 2.07) by a reserved phase HPLC using 80/20 MeOH/H2O as mobile phase on
ADMPC (Tian et al., 2010).
3.2 Separation of chiral herbicides by GC
GC is more suitable in analyzing because of its higher sensitivity, higher precision and less
injection volume than HPLC system. Besides, contaminants and impurities usually can be
separated from the analytes facilely by GC.
The most common chiral selectors used for GC are a group of CD and CD-derivatives.
Enantiomers and diastereomers of some acetamide pesticides, alachlor, acetochlor,
metolachlor, and dimethenamid, were separated using achiral and chiral high-resolution
GC/MS (HRGC/MS) and chiral HPLC. Whereas alachlor is achiral, all other compounds are
axial- and/or C-chiral and consist of two or four stereoisomers (enantiomers and
diastereomers). Chiral HRGC using a β-CD derivative showed varied resolution of
diastereomers and/or enantiomers; achiral HRGC showed no resolution of diastereomers.
Resolution of C-chiral enantiomers was easier than resolution of axial-chiral enantiomers
(atropisomers) (Buser et al., 1995). And all four metolachlor isomers were identified by
HRGC (Muller et al., 2001).
Leachate samples from a waste disposal site in Switzerland and groundwater samples
downstream of the landfill were analyzed for residues of MCPP, DCPP, and 2,4-D esterified
with 2,3,4,5,6-Pentafluorobenzyl (PFB) by means of enantiomer-specific GC-MS (Zipper et
al., 1999, Zipper et al., 1998). The PFB esters of MCPP and DCPP were nearly baseline
separated (Rs=0.9) on a 15 m glass column (0.25 mm i.d.) with an OV1701 polysiloxane
phase containing 35% heptakis(2,3-dimethyl-6-tert-butyldimethylsilyl)-β-CD (TBDM-β-CD)
as the chiral selector.
A capillary column BGB-172 (20% tert-butyldimethylsilyl-β-CD dissolved in 15% diphenylpolysiloxane and 85% dimethylpolysiloxane, GBG Analytik, Adliswil, Switzerland) was
used for chiral GC separation of some herbicides by Liu et al. (Wen et al., 2004, Ma et al.,
2006, Ma et al., 2009). DCPP methylated by diazomethane in water was separated and
determined with a recovery about 90% (Wen et al., 2004). They also separated racmetolachlor and S-metolachlor in soil. However, the baseline separation was not achieved
because of the presence of two chiral elements (asymmetrically substituted carbon and
chiral axis nitrogen) (Ma et al., 2006). Furthermore, the enantiomeric separation of DCPPM
was investigated by GC on BGB-172 and HPLC on Chiralcel OJ-H by this group. Baseline
separation by both GC and HPLC was achieved (Ma et al., 2009).
3.3 Separation of chiral herbicides by SFC
As complementary analytical techniques for HPLC, packed-column SFC with sub- and/or
supercritical fluid contains kinds of organic polar solvents is becoming a very popular
chromatographic technique, for both analysis and small-scale preparation of optically pure
chemicals and enantiomers identification, especially as CSPs are becoming easily available
and widely applied. Nearly all the conventional HPLC CSPs could be applied in SFC mode
except the chiral crown ester CSPs and the protein-based CSPs. Sub- and supercritical
carbon dioxide (CO2) remains the most commonly used fluid for SFC. Mechanistically, SFC
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
291
plays a unique role acting as a bridge between GC and LC. Owing to the good diffusibility
and low viscosity of supercritical fluids, column equilibration is accomplished more rapidly
and enables faster flow rates in SFC than in HPLC. Besides, the higher diffusivity between
mobile phase and CSPs yields greater efficiency (smaller plate heights) in resolving a
sample.
Generally, SFC shows notable advantages and superior developmental potential on
enantiomer separation. The advantages contain environmental friendly with low organic
solvent consumption of mobile phase, simple method development, high efficiency on
enantioseparation, low column pressure drop besides ease of coupling with chiral columns
or MS. However, the high investment of SFC apparatus restricts its widespread application
in enantioseparation. To date, the research about chiral herbicides separation by SFC is very
limited. One herbicide example that can be resolved by SFC is the diasteriomeric compound
metolachlor. The ability to quickly detect and identify metolachlor and its isomeric ratios in
low concentration samples is possible, via SFC (Cole et al., 2007).
3.4 Separation of chiral herbicides by CE
CE is shown to be a simple, efficient, and inexpensive way with unique versatility to chiral
separation because it can be applied to a wide variety of analytes flexibly with various
modes. Hitherto, six separation modes of CE has been successfully used in chiral separation,
including capillary zone electrophoresis (CZE), capillary electrochromatography (CEC),
micellar electrokinetic chromatography (MECC or MEKC), capillary gel electrophoresis
(CGE), capillary isoelectric focusing (CIEF), capillary isotachophoresis (CITP) (Li et al., 2010),
where CZE, CEC and MEKC are the most successful CE modes. For the enantioseparation of
chiral herbicides by CE, CD and its derivatives are often added to the electrophoresis buffer
as the chiral selectors.
Some chlorophenoxy acid herbicides and their enantiomers, 2,4-dichlorophenoxy-acetic acid
(2,4-D), 2-(2,4-dichlorophenoxy)propionic acid (2,4-DP), 4-(2,4-dichlorophenoxy)butyric acid
(2,4-DB), 4-chloro-2-methylphenoxyacetic acid (MCPA), were successfully swparated within
7 min by adding 4 mM α-CD and 1 mM β-CD in the buffer in CE (Hsieh et al., 1996).
Analyzing the herbicides by CE posed the advantages of a high resolution, high separation
efficiency and good reproducibility.
A novel, selective precolumn derivatization reaction was introduced and evaluated in the
fluorescence labeling of phenoxy acid herbicides including 2,4-D, (2,4,5-trichlorophenoxy)acetic acid (2,4,5-T), 2-phenoxypropionic acid (2-PPA), MCPP, 2-(2-chlorophenoxy)propionic
acid
(2,2-CPPA),
2-(3-chlorophenoxy)propionic
acid
(2,3-CPPA),
2-(4chlorophenoxy)propionic acid (2,4-CPPA), DCPP and silvex with 7-aminonaphthalene-1,3disulfonic acid (ANDSA) by CE (Mechref et al., 1996a). The ANDSA-phenoxy acid herbicide
enantiomers exhibited higher chiral resolution than their underivatized counterparts in the
presence of CD in the running electrolyte. The best enantioselectivity was achieved when
2,3,6-tri-O-methyl-β-CD (TM-β-CD) was used as the chiral selector. Mixed CDs based on βCD and TM-β-CD proved to be the most effective as far as the enantiomeric resolution of the
chiral analytes is concerned.
A novel chiral nonionic surfactant, namely octyl-b-D-maltopyranoside (OM), was evaluated
in chiral CE of fluorescently labeled phenoxy acid herbicides (Mechref et al., 1997a). The
labeling of the analytes with 7-aminonaphthalene-1,3-disulfonic acid (ANDSA) permitted a
concentration detection limit of 5×10-10 M using laser-induced fluorescence detection. The
tagging of the phenoxy acid herbicides with ANDSA increased the hydrophobicity of the
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Herbicides, Theory and Applications
analytes, thus favoring an enhanced solubilization of the derivatized herbicides in the OM
micellar phase. The net results of this effect were a much shorter analysis time and an
improved enantiomeric resolution of the derivatives when compared to underivatized
phenoxy acid herbicides. Baseline enantiomeric resolution of phenoxy acid herbicides
including silvex, DCPP, MCPP, 2,4-CPPA, 2,3-CPPA, 2,2-CPPA and 2-PPA was attained
without 30 min by CE using 200 mM sodium phosphate buffer, pH 6.5, containing 60 mM noctyl-β-D-maltopyranoside (OM) (Mechref et al., 1996b). Silvex, DCPP, MCPP, 2,4-CPPA,
2,3-CPPA, 2,2-CPPA and 2-PPA were baseline separated except silvex by performing the
separation at 10 °C and using 250 mM sodium phosphate buffer, pH 6.5, containing 50 mM
n-nonyl-β-glucopyranoside (NG) or 70 mM n-octyl-β-glucopyranoside (OG) in CE. (Mechref
et al., 1997b)
Vancomycin was used as chiral selector for the enantiomeric separation of several free acid
herbicides including MCPP, fenoprop, DCPP, flamprop, haloxyfop, fluazifop, diclofop and
fenoxaprop in CE (Desiderio et al., 1997a). The increase of vancomycin concentration caused
a general increase of migration time, resolution and selectivity. Baseline resolution was
achieved when a 6 mM vancomycin was used. The CE separation of some herbicidal
enantiomers was conducted applying 1-allylterguride as chiral selector (Ingelse et al., 1997).
Baseline separation was shown for the enantiomers of fluazifop, halossifop and fenoxaprop,
whereas the optical isomers of flamprop could be partially resolved using 100 mM βalanine-acetate, 50 mM TEA in 100% MeOH supported with 100 mM allyl-TER. Separation
times are short compared to similar analyses, applying HPLC and a terguride CSP.
The enantiomers of a number of 2-aryloxypropionic acids and their ester and amide
counterparts are readily separated on the commercially available β-GEM 1 and Whelk-O 1
CSPs. Of the analytes studied, the N,N-diethylamides typically show the greatest
enantioselectivity. The enantiomers of several commercial herbicides from this family,
including diclofop ethyl, devrinol, and MCPP were separated using the Whelk-O 1 CSP. βGem1 is a π-acceptor chiral stationary phase and is prepared by covalently bonding N-3,5dinitrobenzoyl-3-amino-3-phenyl-2-(1,1-dimethylethyl)-propanoate, to 5 µm silica through
an ester linkage. (Pirkle et al., 1997)
Baseline enantiomeric separation of a mixture of six pairs of phenoxypropionic acid
herbicides (PPAHs) including 2,3-CPPA, 2,2-CPPA, 2,4-CPPA, 2(2,4-DCPPA), 2(2,4,5TCPPA) and 2-PPA was achieved in less than 30 min by CE with heptakis(6methoxyethylamine-6-deoxy)-β-CD [β-CD-OMe (VII)] as chiral selector. The two most
substituted herbicides [2(2,4-DCPPA) and 2(2,4,5-TCPPA)] were best resolved. One of the
faster migrating antipodes of 2(2,4,5-TCPPA) co-eluted with one slower antipode of 2(2,4DCPPA) while both baseline separation was obtained run separately (Fig. 3-2) (Haynes et al.,
1998).
DCPP and imazaquin was analyzed by CE as an anion (Jarman et al., 2005). DCPP was
separated using 25 mM sodium tetraborate (Na-TB), pH 8.5, with 25 mM trimethyl-β-CD as
the chiral selector, while imazaquin was analyzed with 15 mM dimethyl-β-CD in 50 mM
acetate, pH 4.5. Furthermore, sodium hydrogen phosphate (50 mM) at pH 10.1 containing 30
mM hydroxypropyl-β-CD (HP-β-CD) was found to be the suitable BGE to separate
imazaquin enantiomers in field soils (Yi et al., 2007). In another report (Han et al., 2008), the
two imazethapyr enantiomers were separated using 6% hydroxypropyl-β-CD as chiral
selector in buffer at pH 11.0.
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
293
Fig. 3-2. Enantiomeric separation of a standard mixture of 12 (±) PPAH enantiomers. The
BGE contains 50 mM NaH2PO4 adjusted to pH 6; 3 mM β-CD-OMe (VII); applied voltage
was -15 kV, -25 μA; pressure injection 85 kPa·s; sample concentration 0.1 mg/mL in
methanol–water (1:1, v/v). 1,1’=2-PPA, 2,2’=2,4-CPPA, 3,3’=2(2,4-DCPPA), 4,4’=2,2-CPPA,
5,5’=2,3-CPPA, 6,6’=2(2,4,5-TCPPA). (Haynes et al., 1998)
3.4.1 Separation of chiral herbicides by CZE
The separation mechanism for CZE is based on the differences about the charge/mass
ratios. Uncoated fused-silica capillary is filled with some type of electrolyte solution
(running buffer or BGE). An electric field is applied to the capillary, and then cations go to
the cathode, whereas anions migrate to the anode (Pico et al., 2003).
CD-CZE was applied successfully to the enantiomeric and isomeric separation of chiral
herbicides.
Chiral separations of phenoxypropionic acid herbicides were achieved by adding a suitable
CD-type chiral selector to the electrophoresis buffer (Nielen, 1993, Otsuka et al., 1998,
Zerbinati et al., 2000). DCPP, fenoprop and MCPP, were baseline separated by the coupling
of CE-MS with 20 mM TM-β-CD in 50 mM ammonium acetate (pH 4.6) (Otsukaet al., 1998).
Separation of the four enantiomers of MCPP and DCPP was conducted on an ethylcarbonate
derivative of β-CD with three substituents per molecule, hydroxypropyl-β-CD and native αCD as chiral selectors in CZE. Complete resolution of the four optical isomers was obtained
with10 mM ethylcarbonate-β-CD in the running buffer of 45 mM NaH2PO4, pH 5.6
(Zerbinati et al., 2000).
The separation and detection of 2,4-dichlorophenoxyacetic acid and three optically active
phenoxy acid herbicides (DCPP, MCPP and fenoprop) was investigated in CZE (Garrison et
al., 1994). A 50 mM acetate buffer at pH 4.5 gave the best separation. Baseline separation of
the two enantiomers of each three optically active herbicides, separately and in mixtures of
the three, was accomplished by the addition of 25 mM tri-O-methyl-β-CD to the acetate
separation buffer. Di-O-methyl-β-CD or α-CD separated enantiomers of DCPP and MCPP,
but not those of fenoprop; β-CD provided very little separation and γ-CD gave no
separation.
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Herbicides, Theory and Applications
Several chiral herbicides, bromacil, chlorbufam, ethofumesate, imazapyr, flampropisopropyl, flamprop-free acid, fluazifop-free acid, haloxyfop-free acid, and napropamide,
were separated in CZE (Desiderio et al., 1997b). Different β-CD derivatives were
investigated for chiral separations and among them the negatively charged sulfobutyl ether
β-CD (SBE-β-CD) proved to be effective for the stereoselective resolutions of the
investigated herbicides. Addition of SBE-β-CD (5-50 mg/mL) to the buffer at pH 9 resulted
in a general increase of migration times as well as resolution. A CD concentration as low as 5
mg/mL was effective to completely resolve napropamide and ethofumesate enantiomers.
The enantiomeric and isomeric separation of imazaquin, diclofop and imazamethabenz was
investigated in CD-CZE (DM-β-CD, TM-β-CD and HP-γ-CD) (Penmetsa et al., 1997). The
enantiomers of imazaquin and diclofop, and the isomers of imazamethabenz could be
resolved with Rs≥1.5 (Fig. 3-3). By employing mixed CDs in the running buffer, the three
herbicides were simultaneously separated in a single run (Fig. 3-4).
The separation of DCPP was reported in CZE with α-, β- and γ-CDs as well as their chemical
derivatives C6-capped-β-CD, ethylcarbonate-β-CD, ethylcarbonate-γ-CD, methyl-β-CD and
hydroxypropyl-β-CD as chiral selectors. Several of the investigated CDs allowed DCPP
enantiomer resolution. In particular, a newly synthesised ethylcarbonate derivative of β-CD
showed the best enantiomer resolution properties among the tested compounds. (Zerbinati
et al., 1998)
Biological degradation of acetanilide herbicides in soil results in the formation of the
ethanesulfonic acid (ESA) and oxanilic acid (OXA) derivatives. These molecules exist in two
(alachlor), four (acetochlor), and eight (metolachlor) stereoisomeric forms. Using γ-CD as
chiral selector in CZE, complete separation of all four isomers of enantiomerically enriched
(5S)-metolachlor OXA was achieved. The enantiomers of acetochlor ESA, acetochlor OXA,
and racemic metolachlor OXA were partially separated. (Aga et al., 1999)
CZE was used for the chiral and mutual separation of four phenoxy acid herbicides,
fenoprop, dicloprop, MCPP and 2,4-DB, using highly sulphated CD (HSCD) in the buffer.
The CE runs were performed with reverse polarity (anode in the outlet vial) using the acidic
ammonium formate buffer (20 mmol, pH 3.0). The chiral separation of dicloprop and MCPP
were achieved with α-HSCD but it was not able to resolve fenoprop. With β-HSCD the
required base line separation was achieved. The limit of detection (S/N= 3) achieved in
present case is 0.15 ppm for fenoprop, 0.14 ppm for dicloprop and MCPP and 0.11 ppm for
2,4-DB. (Malik et al., 2009)
Soil samples taken from a field plot at increasing time intervals after application of Foxtril, a
commercial herbicide formulation, were solvent-extracted and analyzed for total DCPP by
CZE, using an acetate buffer at pH 4.7. TM-β-CD, was then added to the buffer as chiral
reagent to effect separation of the (+)- and (–)-enantiomers of DCPP. Baseline resolution
allowed calculation of relative concentrations (enantiomer ratios) of the two isomers.
The hydrolysis product [methyl 2-nitro-5-(2,4-dichlorophenoxy) benzoic acid] of bifenox
methyl ester, another herbicide component of Foxtril, was detected in the soil samples taken
at 17 and 31 d. The acetate separation buffer was 50 mM at pH 4.65 and was composed as
follows: 0.05 M glacial acetic acid: 0.05 M sodium acetate, 1:1, v:v. The cyclodextrincontaining buffer for enantiomeric separation was prepared by dissolving TM-β-CD in the
acetate separation buffer to a final concentration of 25 mM cyclodextrin. (Garrison et al.,
1996)
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
295
Fig. 3-3. Separation of (A) imazaquin enantiomers, (B) diclofop enantiomers and (C)
imazamethabenz isomers (9.49 min, para and 9.65 min, meta isomers). Analysis conditions:
57 cm (50 cm to detector) × 50 μm I.D. capillary column; pressure injection (2 s=2.4 nl); 25 kV
(35 μA); 214 nm UV absorbance. Buffer: (A) 50 mM sodium acetate + 10 mM DM-β-CD
buffer, pH 4.6, (B) 50 mM sodium acetate + 10 mM TM-β-CD buffer, pH 3.6 and (C) 50 mM
sodium acetate + 10 mM TM-β-CD buffer, pH 4.6.
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Herbicides, Theory and Applications
Fig. 3-4. Simultaneous separation of herbicides using mixed cyclodextrins. (1)
Imazamethabenz isomers, (2) diclofop enantiomers and (3) imazaquin enantiomers.
Analysis conditions: 57 cm (50 cm to detector) × 50 μm I.D. capillary column; pressure
injection (2 s=2.4 nl); 50 mM sodium acetate + 10 mM DM-β-CD + 10 mM TM-β-CD buffer,
pH 3.6; 25 kV (35 μA); 214 nm UV absorbance. (Penmetsa et al., 1997)
3.4.2 Separation of chiral herbicides by CEC
CEC utilises a stationary phase rather than a micellar pseudo-stationary one. CEC is a
hybrid technique that couples the selectivity of LC and the separation efficiency of CE. Both
charged and uncharged compounds can be separated effectively using CEC.
A series of herbicide molecules (haloxyfop, fluazifop, fenoxaprop, and flamprop free acids,
diclofop, MCPP, DCPP, fenoprop, 2-PPA) were separated using a CSP derived from an LRNA aptamer by CEC after binding to biotin and grafting upon streptavidin-modified
porous glass beads. (Andre et al., 2006)
A porous monolithic chiral column was prepared by in situ copolymerization of glycidyl
methacrylate, methyl methacrylate and ethylene glycol dimethacrylate in the presence of
formamide and 1-propanol as the porogen solvents to analyze the DCPP enantiomers.
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
297
Subsequently, the epoxide groups at the surface of the monolith were reacted with (+)-1-(4aminobutyl)-(5R,8S,10R)-terguride as the chiral selector. Optimum conditions for the
herbicide resolution by CEC were found using mobile phases consisting of HAc/TEA
mixtures in MeCN:MeOH (9:1 v/v). Under these conditions fully separation of DCPP
enantiomers in the presence of clofibric acid (internal standard) was achieved in about 5
min. (Messina et al., 2007)
A silica based monolithic capillary column derivatized with O-9-(tert-butylcarbamoyl)
quinidine was prepared for CEC enantiomer separation of chiral 2-aryloxypropionic acid
herbicides including inter alia DCPP, MCPP and fenoprop. Reasonable baseline separations
of enantiomers were accomplished for all analytes after optimization of relevant mobile
phase parameters in the anion-exchange CEC system, and the separations were comparable
to such obtained on an optimized high density quinidine-carbamate modified organic
polymer monolith column. (Buchinger et al., 2009)
3.4.3 Separation of chiral herbicides by MEKC
MEKC separation mechanism is based on the differences between interactions of analytes
with micelles present in the separation buffer, which can easily separate both charged and
neutral solutes with either hydrophobic or hydrophilic properties.
Silvex
was
separated
partially
with
50.0
mM
N,N-bis-(3-Dgluconamidopropyl)deoxycholamide as chiral selector, 400.0 mM borate treated fused-silica
capillaries at pH 10.0, 15 °C, voltage 20.0 kv in MEKC. (Mechref et al., 1996c)
Enantiomeric ratios of methyl esters of phenoxy acids herbicides and an acetamide herbicide
metolachlor were being measured. Each of six CD, α-CD, β-CD, γ-CD, hydroxypropyl-β-CD,
dimethyl-β-CD and trimethyl-β-CD, were then added to the borate-SDS buffer, with and
without the organic modifier, to test for separation of the non-chiral compounds and the
enantiomers of the chiral racemates by CD-MEKC. γ-CD with MeOH modifier allowed
baseline separation of the three phenoxy acid methyl esters and of fenoprop methyl ester,
but none of the CDs separated the enantiomers of MCPP and DCPPM. Finally, attempts
were made to separate the four enantiomers of the herbicide metolachlor; three of the
enantiomers were separated by γ-CD with methanol. (Schmitt et al., 1997)
The enantiomeric resolution of chiral phenoxy acid herbicides was performed by MEKC
using several neutral and charged CD as chiral pseudophase (CD-MEKC). Among the CDs
tested, HP-β-CD was found to be the most appropriate for the enantioseparation of phenoxy
acids. The use of a 50 mM electrolyte solution in ammonium formate at pH 5 containing 15
mM HP-β-CD and a temperature of 40 °C enabled the enantiomeric resolution of four of the
six phenoxy acids investigated (2-PPA, 2,3-PPA, 2,4-CPPA, and 2-(2,4-DCPPA)) obtaining
migration times ranging from 9 to 15 min. Mixtures of the two phenoxy acids not
enantiomerically resolved (2-(4-chlorophenoxy)-2-methylpropionic acid and 2-(2,4,5trichlorophenoxy)propionic acid) and up to three of the phenoxy acids enantiomerically
resolved were separated in about 15 min. (Martin-Biosca et al., 2001)
CD-MEKC was applied to the enantioseparation of thiobencarb sulfoxide, which is
produced by S-oxygenation of thiobencarb, using γ-CD together with sodium dodecyl
sulfate. The optimum running conditions were found to be 20 mM phosphate-5 mM borate
buffer (pH 8.5) containing 60 mM hydroxypropyl-γ-CD and 100 mM sodium dodecyl sulfate
with an effective voltage of +20 kV at 20 °C using direct detection at 220 nm with resolution
(Rs) approximately 1.7. (Kodama et al., 2002)
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Herbicides, Theory and Applications
3.5 Separation of chiral herbicides by other chromatographic methods
A preparative enantiomer separation method of DCPP was developed utilizing a
purposefully designed, highly enantioselective chiral stationary phase additive (CSPA)
cinchona-derived chiral seleector derived from bis-1,4-(dihydroquinidinyl)phthalazine in
centrifugal partition chromatography (CPC). A solvent system consisting of 10 mM CSPA in
methyl tert-butyl ether and 100 mM sodium phosphate buffer (pH 8.0) was identified as a
suitable stationary/mobile-phase combination. Complete enantiomer separations of up to
366 mg of racemic DCPP could be achieved, corresponding to a sample load being
equivalent to the molar amount of CSPA employed. Comparison of the preparative
performance characteristics of the CPC protocol with that of a HPLC separation using a
silica-supported bis-1,4-(dihydroquinidinyl)phthalazine CSP revealed comparable loading
capacities for both techniques but a significantly lower solvent consumption for CPC. Given
that further progress in instrumental design and engineering of dedicated, highly
enantioselective CSPAs can be achieved, CPC may offer a viable alternative to CSP-based
HPLC for preparative-scale enantiomer separation. (Gavioli et al., 2004)
4. Enantioselective herbicidal activity and toxicity of herbicide enantiomers
For the amide herbicides, the product enantiomerically enriched with the herbicidally active
1’S-metolachlor (aSS, aRS) has replaced the racimate worldwide after 2004 (Muller et al.,
2001). S-metolachlor was more toxic to C pyrenoidosa than rac-metolachlor, and the catalase
activity of C pyrenoidosa treated by S-metolachlor was higher than that exposed to racmetolachlor (Liu et al., 2009). And enantioselective degradation and/or interconversion for
metolachlor was determined, S-metolachlor degraded faster in soil than rac-metolachlor (Ma
et al., 2006, Kurt-Karakus et al., 2010). After 42-day incubation, 73.4% of rac-metolachlor and
90.0% of S-metolachlor were degraded. However, due to the absence of biological processes
the degradation process in sterilized soil showed no enantioselectivity. The results indicated
that enantioselective degradations could greatly affect the environmental fate of metolachlor
and should be considered when the environmental behavior of these compounds was
assessed. Napropamide is a highly active preemergence herbicide whose R-enantiomer has
high phytocidal activity to unifacial-leaf and broad-leaf weeds. It was found that Rnapropamide was about eight fold more active than S-napropamide, and two more active
than rac-napropamide (Chan et al., 1975). The green alga Scenedesmus acutus growth was
strongly inhibited and fatty acid was desaturated by S-alachlor and S-dimethenamid while
the R isomer had no effect (Couderchet et al., 1997). Furthermore, the comparable biological
activities of dimethenamid and alachlor indicate that this target is common to both Nphenyl and N-thienyl chloroacetamide herbicides.
Enantioselective herbicidal activity and toxicity of the phenoxy herbicides has been reported
profoundly and roundly. The in vivo inhibition of R-(+)- and S-(–)-diclofop-methyl affected
on root growth was hardly enantioselective (Shimabukuro et al., 1995), while in a report by
Liu et al. (Ye et al., 2009), the S-diclofop acid was more toxic to leaves and the R-diclofop acid
was more toxic to roots of rice Xiushui 63 seedlings. Furthermore, absorption and
translocation to the leaf axil of the two-leaf stage plants of diclofop-methyl enantiomers
were similar in both susceptible and resistant biotypes, while the rate of metabolism was
increased 1.5-fold in this resistant biotype compared to the susceptible (Maneechote et al.,
1997). More, the herbicidally inactive S-(–)-enantiorners of both diclofop-methyl and
diclofop were similar to or higher than the corresponding R-(+)-forms in toxicity to algae,
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
299
depending on specific species. Although no enantiomeric conversion occurred for diclofopmethyl and diclofop, the difference in the enantioselective degradation of these herbicides
observed in algae cultures suggested that their application forms were an important factor
determining their enantioselective environmental behavior. It was concluded that the
enantioselective degradation of diclofop in algae cultures was governed primarily by the
facilitated uptake by algae, whereas the enantioselective toxicity was primarily governed by
the passive uptake (Cai et al., 2008). And it was proved that the S-diclofop-methyl dissipated
faster than R-diclofop-methyl while the generation and degradation rates of S-diclofop were
higher than R-enantiomer in the plant by Zhou et al. (Gu et al., 2010). However, in a former
report of Zhou et al. (Diao et al., 2010a), it was found that the degradation of diclofop-methyl
in two soils was not enantioselective while the degradation of diclofop was enantioselective
under both aerobic and anaerobic conditions, and the S-(–)-diclofop was preferentially
degraded, resulting in relative enrichment of the R-(+)-form. To haloxyfop ethoxyethyl ester,
the S-form was degraded faster than R-form (the enantiomeric fraction of R-form was about
72%) (Desiderio et al., 1997a).
Phenoxypropionic acid (PPA) derivatives are widely used in agriculture as selective
herbicides. R-enantiomer of PPAs is known for its herbicidal activity while S-isomer is
inactive as herbicidal agent (Buser et al., 1997a). A large number of papers have discussed
the enantioselectivity of DCPP and MCPP (Zipper et al., 1999, Rugge et al., 2002,
Schneiderheinze et al., 1999, Zipper et al., 1998, Ma et al., 2009, Jarman et al., 2005, Garrison et
al., 1996, Messina et al., 2007, Kurt-Karakus et al., 2010, Buser et al., 1997b, Muller et al., 1997,
Harrison et al., 2003, Williams et al., 2003, Wen et al., 2009, Wen et al., 2010), thereinto
Bidleman et al. (Kurt-Karakus et al., 2010) reviewed the concentrations and stereoisomer
ratios of DCPP, MCPP and metolachlor. Mostly, the S-enantiomer of these herbicides
degraded faster than the R-enantiomer (Zipper et al., 1999, Zipper et al., 1998, Garrison et al.,
1996, Messina et al., 2007, Buser et al., 1997b, Muller et al., 1997). Enantioselective microbial
degradation increased the enantiomeric ratio of R- to S-MCPP during groundwater passage
of the landfill leachate (Zipper et al., 1998). The S-enantiomers of MCPP, DCPP and 2,4-D
were preferentially degraded under aerobic conditions (Zipper et al., 1999). The S-(–)-DCPP
degraded significantly faster (t1/2) = 4.4 d) than the R-(+)-isomer (t1/2 = 8.7 d) in soil
(Garrison et al., 1996). No preferential degradation of the R- and S-enantiomers of MCPP and
of DCPP took place in an aerobic field-injection experiment (Rugge et al., 2002, Jarman et al.,
2005). However, in the nitrate-reducing microcosm S-MCPP did not degrade but R-MCPP
degraded with zero order kinetics at 0.65 mg/(L·d) to produce a stoichiometric equivalent
amount of 4-chloro-2-methylphenol while no biodegradation of MCPP was observed in the
methanogenic, sulphate-reducing or iron-reducing microcosms. And in aerobic conditions
S- and R-MCPP degraded with zero order kinetics at rates of 1.90 and 1.32 mg/(L·d),
respectively (Harrison et al., 2003, Williams et al., 2003). Chitosan also changed the
enantioselective bioavailability of DCPP (Wen et al., 2010). The dissipation of S-enantiomer
in Chlorella pyrenoidosa culture media without chitosan was faster than that of the
herbicidally active R-enantiomer, whereas it was inversed to R-enantiomer being faster than
S-enantiomer when chitosan was added into the media. In the absence of chitosan, the
toxicity of R-enantiomer to Chlorella pyrenoidosa was more potent than that of the Senantiomer. On the contrary, in the presence of chitosan, R-enantiomer was less toxic than Senantiomer. R-DCPP interacted with penicillium expansum alkaline lipase the strongest,
followed by Rac-DCPP, while S-DCPP had the weakest interaction (Wen et al., 2009). RDCPPM was preferentially degraded over the S-DCPPM in different pH solutions (Ma et al.,
2009).
300
Herbicides, Theory and Applications
Racemic mixtures of 2,4-DP and MCPP were applied to three species of turf grass, four
species of broadleaf weeds, and soil. Both herbicides were degraded more quickly and
completely by plants than by soil microbes. Preferential degradation of the S-(–)-enantiomer
of each herbicide was observed in most species of broadleaf weeds and soil, while the
degradation in all species of grass occurred without enantioselectivity. The biodegradation
in all systems appeared to follow pseudo first-order kinetics will the fastest degradation
occurring in broadleaf weeds, followed by the grasses. The slowest degradation was
observed in soil. (Schneiderheinze et al., 1999)
Enantioselective herbicidal activity and degradation of imidazolinone herbicides has been
reported recently. Imazaquin exhibited nonselective enantiomer loss over its 3 months of
incubation time, which could have been due to abiotic or nonselective microbial reactions
(Jarman et al., 2005). However, in another report (Yi et al., 2007), the degradation rates of the
two imazaquin enantiomers were slightly different, and the pH of the soil, combined with
the moisture content in the soil, had a strong influence on the rate of degradation. And the
first enantiomer imazethapyr-I, eluted by CE using 6% hydroxypropyl-β-CD as chiral
selector in buffer at pH 11.0, degraded at a higher rate when compared with imazethapyr-II
(Han et al., 2008). The R-(+)-enantiomer of all three herbicides, imazapyr, imazethapyr and
imazaquin, which has greater herbicidal activity (up to eight times), was found to degrade
faster than the less active S-(–)-enantiomer (Ramezani et al., 2010). Generally, the R former of
imidazolinones was more active than S former. Imazethapyr inhibits elongation of primary
roots and shoots, and reduces the number of adventitious roots and the density of root hairs.
The maximal root relative inhibition rate reached 80.4%, 67.0%, and 73.5% for R-(–)imazethapyr, S-(+)-imazethapyr and (+/–)-imazethapyr at the concentration of 0.5 mg/L,
respectively, and the maximal shoot relative inhibition rate reached 77.7%, 26.9%, and
61.7%, respectively (Qian et al., 2009). The inhibition abilities of (+/–)-imazethapyr to the
root growth of maize seedlings was between S-(+)- and R-(–)-imazethapyr (Zhou et al.,
2009). Moreover, imazethapyr enantiomers enantioselectively suppressed the in vitro and in
vivo acetolactate synthase (ALS) activity of maize leaves (Zhou et al., 2010). The in vivo ALS
activity study showed only a 2-fold difference between R-(–)-imazethapyr and S-(+)imazethapyr, while the in vitro study showed that the difference in inhibition between the
enantiomers fell sharply as concentration increased. At the lowest concentration of 40 μg/L,
R-(–)-imazethapyr appeared 25 times more active than S-(+)-imazethapyr, but only 7 times
at 200 μg/L. At the highest concentration of 25 mg/L, in vitro ALS activity was almost
completely inhibited by S-(+)-, R-(–)- and (+/–)-imazethapyr, there was only 1.1 times
differences between S-(+)- and R-(–)-imazethapyr.
Thiobencarb was treated with a rat liver microsomal fraction containing cofactors (known as
S9mix) (Kodama et al., 2002). The ratio between (+)- and (–)-thiobencarb sulfoxide was
found to be 15:85. It was also found that the ratio between (+) and (–)-thiobencarb sulfoxide
produced in soil spiked with thiobencarb was 3:7. These results indicated marked
enantioselectivities for these metabolisms. The activities of thiobencarb, (+)- and (–)thiobencarb sulfoxides on 5α-dihydrotestosterone- and 17 β-estradiol-induced transcriptions
were also investigated. Thiobencarb and (+)-thiobencarb sulfoxide did not show any
activities, (–)-thiobencarb sulfoxide showed significant anti-estrogenic and anti-androgenic
activities, suggesting that thiobencarb sulfoxide can act as both an enantioselective antiestrogen and an enantioselective anti-androgen.
Racemic and the enantiopure S-(+)- and R-(–)-lactofen were incubated under aerobic and
anaerobic conditions. The data from sterilized controls indicated that the dissipation of
Enantioseparation and Enantioselective Analysis of Chiral Herbicides
301
lactofen was biological. The dissipation was shown to be enantioselective with S-(+)enantiomer being degraded faster than the R-(–)-enantiomer, resulting in residues enriched
with R-(–)-lactofen when the racemic compound was incubated. Lactofen was
configurationally stable in soil, showing no interconversion of S-(+)- to R-(–)-enantiomer
and vice versa (Diao et al., 2009). The enantioselective degradation of lactofen enantiomers
was proved in a report by Zhou et al. (Diao et al., 2010b). In sediments, S-(+)-lactofen or S(+)-desethyl lactofen was preferentially degraded, resulting in relative enrichment of the R(–)-form. Lactofen and desethyl lactofen were both configurationally stable in sediment,
showing no interconversion of S- to R-enantiomers or vice versa. Furthermore, the acute
toxicities of lactofen and desethyl lactofen enantiomers to Daphnia magna were
enantioselective. The calculated LC50 values of S-(+)-, rac-, and R-(–)-lactofen were 17.689,
4.308, and 0.378 μg/mL, respectively, and the calculated LC50 values of S-(+)-, rac-, and R-(–
)-desethyl lactofen were 21.327, 13.684, and 2.568 μg/mL, respectively.
2-α-substituted benzylamino-4-substituted-amino-6-chloro-1,3,5-triazines are herbicidal
compounds showing leaf-burning and/or growth inhibition with concomitant greening and
stunting. The test compounds inhibited root growth due to interference with a system or
systems other than photosynthesis. 4-(R)-sec-butylamino-2-(α,α-dimethylbenzyl)amino-6chloro-1,3,5-triazine showed the highest inhibitory activity, and 4-methylamino-2-(R)-αmethylbenzylamino-6-chloro-1,3,5-triazine was second. The chiral requirement for a strong
inhibition of root growth was the R-configuration, contrasting with the requirement for the
S-configuration for an inhibition of photosystem II. (Omokawa et al., 1992)
Differential chiral responses including enantioselectivity and cross intergenus response on
root growth between Oryza and Echinochloa plants against optical active α-methylbenzyl ptolylureas were indicated. Rice was more affected by the R-enantiomers and barnyard miller
by the S-enantiomers (Omokawa et al., 2001). Plants of the tribe Oryzeae respond
enantioselectively and homogeneously to optically active 1-(C)-methylbenzyl-3-p-tolylurea
(MBTU) in root growth inhibition. The root growth of the genus Oryza was inhibited more
by R-MBTU than by S-MBTU (Omokawa et al., 2004).
5. Conclusions
Over the last several decades, the enantioseparation of chiral herbicides has been widely
studied and has made a great contribution for studying their stereoselectivity in biological
target activity and non-target toxicity. The direct chromatographic separation approaches
play a leading role in separation of chiral herbicides. HPLC combined with CSPs shows its
superiority for the enantiomer analysis and enantiomer preparation of many common
herbicides especially for the group of amide herbicides, phenoxy herbicides and
imidazolinone herbicides. GC is powerful in the determination while CE with diversified
modes is also useful for its maneuverability. The application of herbicides separation by SFC
is relatively limited.
Many herbicides, related to amide herbicides, phenoxy herbicides and imidazolinone
herbicides and so on, have shown the enantioselective herbicidal activity and phytotoxicity
with their enantiomers. Many chiral herbicides have been commercialized with the pure
enantiomer such as S-metolachlor, quizalofop-P-ethyl, haloxyfop-P-methyl, fluazifop-Pbutyl, (R)-napropamide etc.. Additionally, more work should be conducted on researching
enantioselectivity and environmental fate of herbicides.
302
Herbicides, Theory and Applications
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derivatives of cyclodextrins as chiral selectors for the capillary electrophoretic
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Herbicides, Theory and Applications
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Acid Herbicides and Their Enantiomers by Capillary Zone Electrophoresis in
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a
series
of
chiral
herbicides
by
capillary
electrochromatography, Electrophoresis, 27, pp. 3254-3262.
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the
stereoselective
degradation
of
(R/S)-dichlorprop
2-(2,4dichlorophenoxy)propionic acid in soil, Electrophoresis, 28, pp. 2613-2618.
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Enantioseparation and Enantioselective Analysis of Chiral Herbicides
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the chiral herbicide diclofop in three freshwater alga cultures, Journal of Agricultural
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Herbicides, Theory and Applications
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Degradation in Sediment and Aquatic Toxicity to Daphnia magna of the Herbicide
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60, pp. 59-64.
15
Residual Herbicide Dissipation in
Vegetable Production
Timothy Grey and William Vencill
University of Georgia
United States
1. Introduction
The use of low density polyethylene mulch for fumigation, weed control, and soil cover has
become the standard for production of many vegetables in the southeastern United States.
Most low density polyethylene mulch laid for spring vegetable production is followed by a
second crop in the autumn and potentially a third crop the following spring. These
succeeding vegetable crops can be transplanted directly into the existing low density
polyethylene mulch covered beds formed prior to spring fumigation. This allows for
multiple crop production using the same beds. This is done in order to minimize expenses
associated with low density polyethylene mulch and drip tape irrigation, by distributing
costs over multiple crops (Fig. 1).
Fig. 1. Newly laid low density polyethylene mulch for spring planting of vegetables (left)
and clean beds prior to autumn vegetable transplanting.
2. Important
Alternative methyl bromide fumigants have been investigated with varying levels of weed
control success (Csinos et al., 2002; Webster et al., 2001; Gilreath et al., 2004). The major
source of new herbicides for minor crops is the adaptation of herbicides registered for major
crops. The process of registration of herbicides is expensive and time consuming for minor
crops (Fennimore & Doohan, 2008). Yellow nutsedge (Cyperus esculentus) and purple
nutsedge (Cypresrotundus) are the most common and troublesome vegetable weeds in
310
Herbicides, Theory and Applications
vegetables throughout the southern United States (Webster, 2006; Webster & MacDonald,
2001). Even with polyethylene bed covers, nutsedge control in vegetable production is
essential, as emerging shoots can grow though the cover (Adcock et al., 2008; Bullock, 1990;
Locascio et al., 1994; Igbokwe, 1996; Stiles et al., 1999). Herbicides that could be soil
incorporated into vegetable systems using low density polyethylene mulch must be effective
on Cyperus species. Although extended residual control can be beneficial, it poses a threat to
future crops (Johnson et al., 2010). If growers use the low density polyethylene mulch for
multiple vegetable cropping systems, there is a potential for herbicide carryover to injury
succeeding crops, which could increase, dependent on herbicide persistence (Johnson &
Mullinix, 2005). In previous studies, it was determined that pesticide dissipation was
affected by polyethylene mulch, which could influence weed control, crop injury, and
pesticide persistence. The dissipation of linuron, pendimethalin, chlorobromuron, and
flurochloridone was reduced when applied to soil under perforated polyethylene covers
verses bare soil (Bond & Walker, 1989). Many vegetable producers in the southeastern
United States often apply herbicides between crop plantings in order to destroy the previous
crop and/or weed infestations (Gilreath et al., 2006). Herbicides that can be used between
crops for low density polyethylene mulch vegetation control include glyphosate, paraquat,
carfentrazone, and halosulfuron. Pesticides applied over the top of low density polyethylene
mulch can leave residues on the mulch (Nerin et al., 1996). When herbicides are applied to
the low density polyethylene mulch or row middles, and then when crops are transplanted
soon afterwards, injury can occur (Culpepper et al., 2009; MacRae & Culpepper, 2007;
Gilreath & Duranceau, 1986). The purpose of this chapter is to present current information
about the chemical dissipation of herbicides used for vegetable production as alternatives to
methyl bromide under different application scenarios.
3. Information
Herbicide dissipation is chemical and environmentally dependent. Soil incorporated
herbicides are exposed to variable microbial, hydrolysis, soil pH, organic matter, and other
factors that may limit their activity. However, herbicide adsorption to soil colloids with
subsequent hysteresis may extend activity and thus potential for either weed control or
carryover to subsequent crops. Post emergence applied herbicide dissipation can be
influenced by chemical properties such as water solubility, photo degradation, volatility,
and environmental aspects such as rainfall and irrigation volumes, plant interception and
absorption. While herbicide dissipation differs with respect to application method, many of
the same factors influence fate in the environment.
3.1 Soil applied herbicides
Halosulfuron (Grichar et al., 2003; Nelson & Renner, 2002; Vencill et al., 1995), sulfentrazone
(Grichar et al., 2003; Wehtje et al., 1997), and metolachlor (Cornelius et al., 1985; Obrigawitch
et al., 1980) provide soil residual activity on Cyperus species with control often extending for
many weeks or months after applications. While these herbicides are viable alternatives to
fumigation in vegetable production, they may cause injury to newly transplanted crops
(Figure 2), and potential carryover issues to subsequent crops.
Dermiyati & Yamamoto (1997a) indicated that halosulfuron adsorption was highly
correlated with soil organic carbon content and inversely related to soil pH. Degradation of
halosulfuron increases with increasing temperature and lower soil pH but varied with soil
moisture content and soil type (Dermiyati & Yamamoto, 1997b). Halosulfuron degradation
Residual Herbicide Dissipation in Vegetable Production
311
Fig. 2. Foreground: bed nontreated control transplanted cucumber; background bed
herbicide injury on transplanted cucumber.
is primarily through chemical hydrolysis and microbial means. Carpenter et al. (1999)
reported a positive relationship between organic matter and halosulfuron adsorption, that
sorghum [Sorghum bicolor (L.) Moench] injury was less likely on soils with high organic
matter content, and halosulfuron can exhibit soil hysteresis.
Metolachlor dissipation from soil has been extensively investigated (Bouchard et al., 1982;
Braverman et al., 1986; Gaynor et al., 1993; Obrigawitch et al., 1981; Peter & Weber, 1985;
Weber et al., 2003). Weber et al. (2003) reported that metolachlor sorption, mobility, and soil
retention was related to organic matter, clay content, and surface area. As soil organic
matter concentration increases, adsorption of metolachlor increases. Metolachlor mobility
was inversely related to soil organic matter and clay content. Other studies came to the same
conclusions and also indicated that metolachlor binding was by physical forces between
metolachlor molecules and soil constituent surfaces (Weber et al., 2003). Half-life of
metolachlor varies with soil temperature, moisture, and organic matter content (Parker et
al., 2005; Vencill, 2002 a).
Previous research indicated that the adsorption and mobility of sulfentrazone is pH and soil
type-dependent (Grey et al., 1997) and that it does exhibit hysteresis (Grey et al., 2000).
Reddy & Locke (1998) confirmed the conclusion that sulfentrazone availability was both pH
and soil series-dependent. They also concluded that sulfentrazone sorption was greater in
no-till than in conventional tillage and attributed this to the higher organic matter content.
Soil dissipation of sulfentrazone has varied with climatic factors. Ohmes et al. (2000) noted
that sulfentrazone dissipation was slowed by dry soil conditions, leading to substantial
residual activity in subsequent crops. There was little-to-no injury to rotational vegetable
crops from sulfentrazone when it was applied in accordance to the product label (Garvey &
Monks, 1998). For the vegetable crops they investigated, all exhibited little to no adverse
effects as part of a rotation with sulfentrazone. The residual effects of sulfentrazone on
rotational cotton have been established with rates exceeding 0.4 kg ha-1 applied the previous
year (Main et al., 2004; Ohmes et al., 2000).
Persistence, dissipation, and degradation of halosulfuron (Kuwatsuka & Yamamoto 1997a,
1997b), metolachlor (Gaynor et al., 1993, Parker et al 2005; Weber et al., 2003), and
sulfentrazone (Grey et al., 1997, 2000; Ohmes et al., 2000; Reddy & Locke, 1998) have been
previously investigated in agronomic and/or vegetable soils. These investigations
emphasized soil and/or organic cover scenarios in separate experiments. However, there is
312
Herbicides, Theory and Applications
little information on these herbicides applied to bare-soil verses soil under polyethylene
mulch situations (Figure 3).
Fig. 3. Bare soil and soil covered with low density polyethylene mulch prepared for
vegetable planting.
3.2 Herbicides applied to low density polyethylene mulch
Low density polyethylene mulch has permeability to fumigants via diffusion through the
matrix (Papiernik & Yates, 2001a; Papiernik & Yates, 2001b). This occurs as the fumigant
dissolves into the surface of the low density polyethylene mulch facing the soil, then
diffusion through the film, and eventual evaporation from the opposite surface (Rogers,
1985). However, little information exists about low density polyethylene mulch adsorptive
properties with respect to pesticides.
Previous research noted that paraquat dissipation from low density polyethylene mulch,
when post emergence surface applied, was achieved by photo degradation (Gilreath et al.,
2006; Gilreath & Duranceau, 1986) or removal with an eluent such as water (Gilreath &
Duranceau, 1986). The persistence, dissipation, and degradation of paraquat from low
density polyethylene mulch were evaluated using bioassays (Gilreath & Duranceau, 1986)
and colorimetric procedures (Gilreath et al., 2006). However, besides paraquat, few
herbicides have been analytically quantified for dissipation from low density polyethylene
mulch (Grey et al., 2009).
3.3 Research
These two factors, soil applied residual herbicides and herbicide residues remaining on low
density polyethylene mulch, can potentially injure or kill vegetable crops in rotation.
Understanding the impact of low density polyethylene mulch on residual herbicide soil
dissipation when incorporated into vegetable production and the respective rotational
issues will impact what herbicides, and crops, producers will apply and grow, respectively.
Additionally the impact of dissipation of herbicides when surface applied to low density
polyethylene mulch will impact which herbicides producers will utilize between vegetable
crop plantings. The objectives were to review information which compares soil dissipation
of residual herbicides in bare soil verses soil under low density polyethylene mulch, and
Residual Herbicide Dissipation in Vegetable Production
313
herbicide dissipation from low density polyethylene mulch when topically applied, using
field experiments and analytical chemical analysis.
4.1 Field studies
Field studies conducted to evaluate herbicide dissipation of herbicides had two distinct
research objectives. However, all experiments were conducted similarly. Bed formation (20
cm raised bed), single drip irrigation tube, and lying of 32 um-thick (1.25 mil) low density
polyethylene mulchoccurred simultaneously. All studies were conducted on Tifton loamy
sand (fine-loamy, kaolinitic, thermic PlinthicKandiudults) with 86 to 88% sand, 8% silt, 4 to
6% clay, 0.5 to 1.3% organic matter, and pH ranging from 6.3 to 6.9.
4.2 Soil dissipation research
The first experiments evaluated herbicide dissipation for bare soils verses soil under low
density polyethylene mulch. For the soil dissipation experiments, herbicide treatments
included halosulfuron, S-metolachlor, and sulfentrazone applied at recommended rates for
weed control for the region.Surface soil was sampled with a plugger-type sampler with four
samples were collected to a depth of 8 cm from each plot and combined into a single sample.
Soil cores were collected at 1 hour, 1, 2, 14, 27, and 56 d after treatment for one experiment
and 1 hour, 1, 2, 3, 7, 14, 21, 28, 44, and 66 days after treatment in the second experiment.All
samples were immediately frozen upon collection and stored at -10 C prior to analysis. For
soil herbicide analysis, soils were thawed, air dried on a lab bench for 8 hours, passed
through a 3-mm sieve, and then stored at -10 C. Field plot replicate sample integrity was
maintained throughout sample collection, preparation, and chemical analysis.
4.3 Low density polyethylene mulch research
For herbicide dissipation from the surface of low density polyethylene mulch experiments,
dissipation was measured quantitatively using analytical techniques for two scenarios: under
dry conditions (rain free and no irrigation) versus wash off using water as an eluent.
Herbicide treatments included paraquat, glyphosate, carfentrazone, and halosulfuron. For the
wash off studies, samples were collected at one hour after treatment, irrigated at three hours
after treatment with one cm of water using an overhead irrigation system, then sampled again
at five hours after treatment. This washing and sampling procedure was then repeated at 24,
48, 72 and 96 hours after treatment. Samples were collected from each plot. Samples were then
carefully stored in brown glass jars. For all studies, care was taken to prevent contamination
between samples and to collect a representative sample from each plot. All samples were
immediately frozen upon collection and stored at -10 C prior to analysis.
4.4 Analytical herbicide quantification
Herbicide analytical methods differ by chemical due to variation in solubility, structure,
volatility, etc. Therefore, various methods are used to quantify. One common method is the
use of high pressure liquid chromatography in tandem with mass spectrometry (HPLC-MS).
This procedure allows for accurate measures for many different compounds at extremely
sensitive levels of detection. Proper sample handling includes solvent identification, solvent
ratios, extraction methods, injection volumes, and equipment settings. Herbicides and
methods of analysis discussed for the purpose of this chapter, using HPLC-MS, are listed in
Table 1.
314
Herbicide
Herbicides, Theory and Applications
Method
Mobile phase
Column
Flow
rate
Ion
Cone APCI
monitoring voltage /ESI
ml/min
C
C
S-metolachlor
LC-MS
SIR
ACN 40%
MeOH with
Ymc ODS
0.2% acetic acid
0.2
ESI
positive
20
380
Sulfentrazone
LC-MS
SIR
ACN 25%
MeOH with
Ymc ODS
0.2% acetic acid
0.2
ESI
negative
51
370
Glyphosate
LC–MS
SIR
ACN 50 mM
ammonium
acetate
Phenomene
x C18
0.7
APCI
positive
100
475
Paraquat
LC–MS
SIR
60:40 ACN
Buffer pH 4.5
Waters Si
0.4
ESI
negative
41
380
ymc ODS
0.2
ESI
negative
32
370
ACN 10 MeOH
ymc ODS
with 10 mM
formic acid
0.2
ESI
positive
23
350
0.6
APCI
positive
40
484
Halosulfuron
ACN 10%
LC–MS MeOH with 0.1
SIR
ml ammonium
hydroxide
Carfentrazone
LC–MS
SIR
Flumioxazin
LC–
ACN 1.25 mM
MSMRM
TDFHA
Hypersil
ODS
Table 1. Analytical methods for herbicide dissipation studies.
4.5 Herbicide dissipation kinetics
Herbicide dissipation data are often described by non-linear regression in addition to
analysis of variance for the specific test. The intent is to determine if the responses can be
described by using the exponential decay equation
y = Boe-B1(x)
(1)
where y is herbicide concentration, B0 is the initial concentration, B1 is dissipation rate, and x
is time in hours or days after treatment. After data is regressed against time, the output from
the analysis includes first-order dissipation rate constant (k) (Ohmes et al., 2000). All data by
herbicide for the exponential decay equations can be subjected to analysis of variance
(ANOVA) using the general linear models procedures with mean separation using 95%
asymptotic confidence intervals. Dissipation time (50%) is then determined using the
equation
DT50 = ln 0.50/k
(2)
(Dermiyati & Yamamoto, 1997b; Lui et al., 2002; Mueller et al., 1999). Data are then often
presented with graphics software.
Residual Herbicide Dissipation in Vegetable Production
315
5.1 Herbicide dissipation research
For the following research information, all experiments were conducted at times when
herbicide applications could potentially occur in the south-eastern vegetable production
regions of the United States and are thus representative of producer practices.
5.2 Soil dissipation research
The exponential decay equation [1] effectively describes halosulfuron dissipation (Figure 3).
First-order dissipation rate constants (k) for halosulfuron were less (i.e. slower dissipation)
for soil under low density polyethylene mulch (0.07) than for bare soil (0.10). Halosulfuron
dissipation for bare soil dropped to undetectable levels by 27 and 28 days after treatment in
two studies, respectively. This trend was similar for soil under low density polyethylene
mulch. From equation [2], the DT50 for bare-soil was 6 to 7 daysverses soil under low density
polyethylene mulch which was 10 days. Although the first-order rate constants were not
significantly different between bare soil and soil under LDPE mulch, the DT50 was 3 to 4
days longer for soil under low density polyethylene mulch. Dermiyati and Yamamoto
(1997b) reported halosulfuron half-lives of 7 to 98 days depending on soil moisture and
temperature regimes.
S-metolachlor dissipation was well described by the exponential decay equation [1] and for
bare soil and soil under low density polyethylene mulch (Figure 3). First-order dissipation
rate constants for S-metolachlor were less for soil under low density polyethylene mulch
(0.2) than for bare soil (0.4). S-metolachlor dissipation was rapid for bare soil and soil under
low density polyethylene mulch dropping to undetectable levels by 44 days after treatment.
Rapid dissipation has been previously noted for metolachlor with sandy soil under moist
soil conditions (Weber et al., 2003). In one experiment, S-metolachlor dissipation was
biphasic, dropping to less than 400 ug/kg of soil at 7 days after treatment, yet was
detectable at 44 days after treatment for both soil scenarios. While the DT50was 2 and 5 days
for bare soil and soil under low density polyethylene mulch, respectively, dissipation was
slower in one year as compared to another. This could be attributed to an equilibrium that
was reached with S-metolachlor where soil adsorption had occurred, and then desorption of
the parent was observed over time (Patakioutas & Albanis 2002). Data indicated that low
density polyethylene mulch decreased the rate of dissipation of S-metolachlor versus bare
soil which could extend its herbicidal activity.
Sulfentrazone dissipation varied but was slower than halosulfuron and S-metolachlor
(Figure3) and had the longer DT50. Overall, the exponential decay equation [1] adequately
described the sulfentrazone dissipation. Sulfentrazone dissipation first order rate constants
were equal on average, with 0.055 for soil under low density polyethylene mulch and 0.050
for bare-soil. Half-lives were 16 days for bare-soil and 13 days for soil under low density
polyethylene mulch. While counter intuitive, this could be due to increased temperature
regimes that have been noted under polyethylene mulch (Peachey et al., 2001), that could
have accelerated dissipation. Ohmes et al. (2000) previously noted that sulfentrazone
dissipation followed first-order kinetics in Tennessee soils. They reported varying
dissipation with DT50 ranging from 24 to 118 days. Variation in sulfentrazone DT50 has been
noted from 2 (Collins et al., 1999) to 302 days (Vencill, 2002 b).
These studies indicate that halosulfuron-methyl and S-metolachlor dissipation was more
rapid for bare-soil than soil under low density polyethylene mulch. However, sulfentrazone
dissipation was variable. For bare-soil and soil covered with low density polyethylene
mulch, dissipation of halosulfuron and S-metolachlor were biphasic (Figure 3).
316
Herbicides, Theory and Applications
30
1600
_______ Time vs bare soil
. . . . . Time vs LDPE mulch
Halosulfuron 2003
________
S-metolachlor 2003
Time vs bare soil
. . . . . Time vs LDPE mulch
1400
25
ug/kg soil
ug/kg soil
1200
20
15
1000
800
600
10
400
5
200
0
0
1600
30
S-metolachlor 2004
Halosulfuron 2004
1400
25
ug/kg soil
ug/kg soil
1200
20
15
1000
800
600
10
400
5
200
0
0
0
7
14
21
28
35
42
49
56
0
63
7
14
21
28
35
42
49
56
63
Time after application (d)
Time after application (d)
500
________
Sulfentrazone 2003
Time vs bare soil
. . . . Time
.
vs LDPE mulch
ug/kg soil
400
300
200
100
0
500
Sulfentrazone 2004
ug/kg soil
400
300
200
100
0
0
7
14
21
28
35
42
49
56
63
Time after application (d)
Fig. 3. Halosulfuron, s-metolachlor, and sulfentrazone dissipation for bare soil and soil
covered with low density polyethylene mulch.
317
Residual Herbicide Dissipation in Vegetable Production
Sulfentrazone dissipation was slower (Figure 3) than halosulfuron or metolachlor. This
indicates that sulfentrazone could provide residual Cypress species control when
preemergence applied to vegetables but could also result in carryover problems to
subsequent plantings.
Glyphosate
160
Dry mulch
Washed mulch
Concentration (mg/m2)
140
120
100
80
60
40
20
0
0
12
24
36
48
60
72
84
96
108
120
Time after application (hours)
Paraquat
160
2
Concentration (mg/m )
140
120
100
80
60
40
20
0
0
12
24
36
48
60
72
84
96
108
120
Time after application (hours)
Fig. 4. Glyphosate and paraquat dissipation from low density polyethylene mulch for dry
and wash off conditions over time.
6. 2 Low density polyethylene dissipation research
The exponential decay equation [1] effectively described dry and irrigated glyphosate
dissipation (Figure 4). First-order dissipation rate constants (k) for glyphosate were (i.e.
slower dissipation) less for the dry study at 0.008 than for the irrigated study at 0.933. For
318
Herbicides, Theory and Applications
glyphosate, DT50 for the dry study was 84 hours, while it was 1 hour in the irrigated
experiment. Glyphosate concentration dropped to less than 5 mg/m2 levels by the 2nd
irrigation event at 24 hours after treatment. Glyphosate dropped to undetectable levels by
the 5th irrigation at 96 hours after treatment when greater than 4 cm of water had been
applied. Glyphosate has negligible photo degradation losses, is tightly adsorbed to soil, and
high water solubility (Senseman, 2007). Glyphosate adsorption to clay minerals is pH
dependent and fluctuations can occur, depending upon the type of soil saturating cation
(McConnell & Hossner, 1985). In contrast to the wash off experiments, glyphosate
dissipation from low density polyethylene mulch for the dry study was linear and 50
mg/m2 remaining 120 hours after treatment. For the dry study there was an 84 hour halflife for glyphosate, and it would require at least 28 d (eight half-lives) to reach less than 1
mg/m2 on the mulch. Glyphosate can be persistent in low density polyethylene mulch as
reported by Gilreath & Santos (2004). For their bioassay study with tomato
(Lycopersiconesculentum L.) in a dry study, they indicated there was enough glyphosate
remaining 16 days after application to reduce fresh plant weight by 73%.
First order rate dissipation constants for paraquat were significantly different for the
irrigated (1.88) and dry studies (0.022). Paraquat is a cationic dichloride salt with a water
solubility of 620,000 mg/L1 (Senseman, 2007). After the 1st irrigation application of 1 cm of
water, paraquat was undetectable on the mulch (Figure 4), which was further demonstrated
with a 1 hour DT50. Given the high water solubility of paraquat, rapid dissipation will occur
with water. As previously noted, paraquat dissipation can also occur via photo degradation
(Senseman, 2007). With each subsequent 24 hour sampling period, paraquat dissipation was
reduced step-wise, falling to 10 mg/m2 at 120 hours after treatment (Figure 2) with a DT50 of
32 hours for the dry study. Gilreath et al. (2006) reported similar findings for paraquat on
low density polyethylene mulch using a colorimetric analysis procedure.
The exponential decay equation [1] described halosulfuron dissipation for the dry scenario
with a first order rate constant of 0.038. In the irrigated study, however, the exponential
decay equation did not accurately describe halosulfuron dissipation from low density
polyethylene mulch, and actually under estimated the levels detected (Figure 5).
Halosulfuron dissipation for the irrigated study appeared to be biphasic, with an initial
rapid decline, and then little to no removal with each subsequent irrigation event. The first
phase of halosulfuron dissipation is chemical hydrolysis and is abiotic in nature, whereas
the second phase is microbial dependent. This would explain the biphasic nature for
observed dissipation with irrigation. Halosulfuron dissipation in the irrigated study had
first order rate constant of 0.24, which was significantly higher than that in the dry study.
Halosulfuron is a weak acid with negligible photo-degradation losses (Senseman 2007).
Halosulfuron has exhibited hysteresis in higher organic matter Japanese soils (Dermiyati &
Yamamoto, 1997a). Given this previously noted hysteric soil affect, it is suspected
halosulfuron is behaving similarly when applied to low density polyethylene LDPE mulch.
Halosulfuron dissipation was linear and varied by less than 1.1 mg/m2 from initial
application with 3.5 mg/m2 at 1 hour after treatment to 2.4 mg/m2 120 hours after treatment
for the dry study.
Dissipation of carfentrazone was well described by the exponential decay equation [1] with
first order rate constants of 0.023 and 0.025 and DT50 values of 30 and 28 hours for the dry
and wash off studies, respectively. Sampling of the dry and irrigation studies indicated
nearly identical dissipation curves (Figure 5). Initial carfentrazone concentrations on the
low density polyethylene mulch were 7.8 to 8.4 mg/m2 at 1 hour after treatment. With each
319
Residual Herbicide Dissipation in Vegetable Production
subsequent sampling at 24, 48, 72, and 96 hours after treatment, carfentrazone
concentrations did not differ by more than 0.4 mg/m2 for samples of the dry and wash off
low density polyethylene mulch. Carfentrazone water solubility is 12,000 mg/L1 and
increases with temperature; it does not photo-degrade, is non-volatile, is not adsorbed to
soil, but it is broken down via microbial break down (Senseman, 2007).
5
Halosulfuron
Dry mulch
Washed mulch
Concentration (mg/m2)
4
3
2
1
0
0
12
24
36
48
60
72
84
96
108
120
Time after application (hours)
Carfentrazone
2
Concentration (mg/m )
10
8
6
4
2
0
0
12
24
36
48
60
72
84
96
108
120
Time after application (hours)
Fig. 5. Halosulfuron and carfentrazone dissipation from low density polyethylene mulch for
dry and wash off conditions over time.
These studies indicate that glyphosate and paraquat dissipation was rapid from low density
polyethylene mulch when irrigation water was used as a solvent. Halosulfuron and
carfentrazone were detectable even after five wash off events, indicating some type of
320
Herbicides, Theory and Applications
adsorption, or physical trapping within the matrix, maybe occurring with the low density
polyethylene mulch, with subsequent release with each wash off event (Figures 4 and 5).
7. Conclusions
Herbicides will be an alternative to fumigants for weed control in low density polyethylene
mulch vegetable production. However, given the persistent chemical nature of some
herbicides, care must be taken in planning potential rotational crops to prevent any soil
carryover issues that could injury or kill sensitive species. S-metolachlor soil dissipation
data indicated it was less likely to persist than halosulfuron or sulfentrazone. These studies
indicated that halosulfuron-methyl and S-metolachlor dissipation was more rapid for baresoil than soil under low density polyethylene mulch.
Glyphosate and paraquat can be quickly dissipated by water when these herbicides are
applied to the surface of low density polyethylene mulch. Carfentrazone and halosulfuron
tended to adsorb to the mulch, increasing the potential for transplant injury. Glyphosate,
paraquat, halosulfuron, and carfentrazone were all detectable at efficacious levels on the low
density polyethylene mulch at 120 hours after treatment for the dry studies. These studies
indicate that producers must be very conscious of the contact herbicide they apply between
crops in low density polyethylene mulch production. They must also understand that using
water as a dissipation mechanism may not totally remove the potential for herbicide injury
to vegetable transplants, that failure to do so could result in significant plant injury and
potential crop failure.
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16
Solid-Phase Extraction for Enrichment and
Separation of Herbicides
Pyrzynska Krystyna
University of Warsaw, Department of Chemistry
Poland
1. Introduction
Herbicides are widely used for of broad-leaved weeds and other vegetation. They are
relatively inexpensive and very potent even at low concentrations. The majority of
herbicides are directly applied to soil or sprayed over crop fields and as consequence of
large production and high stability, they are released directly into environment. For that,
herbicides can enter as contaminants into streams, rivers or lakes directly from drainage of
agricultural areas. The need for herbicide monitoring in natural water is essential for
achieving good water quality objectives, because in most countries groundwater is the major
source of drinking water. Moreover, the monitoring of herbicides in soil and crops is
important in order to control their impact on the environment.
Recent studies have focused more on herbicide degradation/transformation products (from
hydrolysis, oxidation, biodegradation or photolysis) because they can be present at greater
levels in the environment than the parent herbicide and can sometimes be as toxic or even
more toxic. New compounds have also come on the market (such as glyphosate,
organophosphorus herbicides) and studies are being conducted to understand their fate and
transport in the environment (Richardson, 2009).
Thus, it is important to develop a reliable and sensitive method for the simultaneous
determination of such compounds in different kinds of samples. High-performance liquid
chromatography with mass spectrometry or array diode detection are good options for
herbicides monitoring (Cheng et al., 2010; Maloschik et al., 2010). Tandem mass
spectrometry is usually used to confirm identification of selected herbicides. While LCMS/MS methods are now predominantly used for pesticides and their degradation
products, GC-MS methods are still occasionally used. For example, GC-MS was used by
Hildebrandt et al. (2007) to measure 30 priority pesticides and their transformation products
in agricultural soils and an underlying aquifer in the Ebro River Basin in Spain. The
sensitivity of detection, however, is still not high enough in many cases for direct
determination of herbicides at the level required by different regulations. Therefore, a
preconcentration procedure for the analytes and clean-up steps must be applied for complex
samples.
Solid-phase extraction (SPE) is the most popular sample preparation technique of
environmental, food and biological samples and it already replaced the classic liquid-liquid
extraction as the reduction or complete elimination of solvent consumption in analytical
procedures, which is very important according to the rules of green chemistry (Camel, 2003;
326
Herbicides, Theory and Applications
Pyrzynska, 2003; Fontales et al., 2007). The main goal for application of SPE is to achieve
isolation, preconcentration and clean-up of the sample in a single step. This can be achieved
by an appropriate selection of the type of sorbent or their combination. For this reason the
properties of the analytes, nature of matrix, the required trace-level concentration and the
type of chromatography involved later in the separation step should be taken into
consideration. The strategy of sample pretreatment in SPE-HPLC system is also guided by
the method of final detection after chromatographic separation. Application of a simple
detection mode, e.g. diode array UV, requires more selective isolation and enrichment.
When the more specific quantification is used, such as fluorescence, mass spectrometry or
electrochemical methods, application of SPE sample pretreatment can improve the limit of
detection.
The extraction process depends on the type of sorbent used and retention is due to
reversible hydrophobic, polar and ionic interactions between the analyte and the sorptive
material. Sorption can be non-specific, in that case weak dispersive interactions such as van
der Waals forces will dominates. However, sorbents utilizing specific interactions resulting
from analyte polarity, ionic nature or the presence of specific functional groups are
preferred. The classical sorbents in SPE are silica-based (Spivakov et. al., 2006),
carbonaceous materials (Kyriakopolous & Doulia, 2006; Pyrzynska, 2008) or polymeric,
primarily styrene-divinylbenzene copolymers (Fontanals et al., 2004; Kyriakopolous &
Doulia, 2006). The novel sorbents with improved selectivity towards the particular groups
of compounds or even individual compounds includes immunosorbents (Haginaka, 2005)
and molecularly imprinted polymers (MIP) (Dias et al., 2009; Lasákova & Jandera, 2009).
Carbon nanotubes, a new form of carbon-based sorbents, are also promising materials in
SPE of herbicides (Pyrzynska, 2008).
The objective of this chapter is to present the recent advances in the area of novel materials
as solid phase extractors for herbicide analysis. The papers published over the last five years
are discussed in more detail. The emphasis is also given to the application of several SPE
systems for automated preparation of environmental, food and biological samples.
2. Classic sorbents
Silica chemically bonded with various groups has been the most common material for SPE.
This sorbent can be classified as reversed-phase sorbent with octadecyl (C18), octacyl (C8),
ethyl (C2) and phenyl or as normal-phase sorbent with cyanopropyl, aminopropyl and diol
functional groups. Their interaction mechanisms are mainly based on hydrophobic
interaction (van der Waals forces), thus these SPE packing provide high recoveries for
nonpolar analytes. Nevertheless, silica-based sorbents are unstable at extremes pH (2 > pH >
8), and they have relatively low capacity and low recovery for basic analytes. Several types
of modifications were used to immobilize different compounds on the surface of classical
silica-base sorbents to increase their selectivity (Parida et al., 2006; Kailasam et al., 2009).
New materials based on poly(methyltetradecylsiloxane) and poly(methyloctylsiloxane)
thermally immobilized onto the silica support have been tested for extraction of some
herbicides (Vigna et al., 2006; Faria et al., 2007). Liu (2008) had used silica gel coated with
gold nanoparticles self-assembled with alkanethiols for the extraction of steroidal
compounds.
The bonded-silica sorbent may be packed in different formats: filled microcolumns,
cartridges or discs. A variety of bonded-silica phases are commercially available in the
Solid-Phase Extraction for Enrichment and Separation of Herbicides
327
cartridge format. Extraction could be also performed with membrane disks containing C18bonded silica (8 μm particles) on polytetrafluoroethylene or glass fiber supports (Spivakov
et. al., 2006; Li et al., 2006). Disc provides shorter sample processing time on account of their
larger cross-sectional area and decreased pressure drop, allowing higher sample flow rates.
This is important for environmental samples, where larger sample volumes are usually
employed to achieve adequate detection limits.
The polymeric sorbents based on styrene-divinylbenzene exhibit higher capacity and better
chemical stability over the whole pH range in comparison with bonded silica. Due to the
specific π-π interactions they are relatively selective for analytes with aromatic rings. The
use of highly crosslinked polymeric sorbents with their specific surface up to 800 m2/g or
hypercrosslinked polymeric sorbents (over 1000 m2/g) could improve the analytes retention
as more π-π sites in the aromatic rings will then be accessible to interact with the analytes
(Ahn et.al., 2006).
3. Hydrophilic and mixed-mode polymeric sorbents
The hydrophobic nature of classical sorbents leads to poor retention of polar compounds. To
overcome these problems, the research in new SPE materials has been recently focused on
the development of hydrophilic and mixed-mode polymeric materials. Such sorbents
combine high specific surface area and polar interaction between sorbent and analyte due to
introduction of the polar moiety to the polymer structure.
3.1 Hydrophilic polymeric sorbents
The hydrophilic polymeric sorbents are obtained by chemical modification of the existing
hydrophobic materials or by copolymerisation of monomers that contain suitable functional
groups. The polar substituents reduce the interfacial tension between the polymer surface
and aqueous sample improving the wetting characteristics and increase contact between the
analyte and polymeric sorbent. Strata-X (styrene skeleton modified with a pyrrolidone
group) and Oasis HLB (macroporous poly(N-vinylpyrrolidone-divinylbenzene) copolymer)
are the most common hydrophilic sorbent used in the herbicides extraction (Stoob et. al.,
2005; D'Archivio et. al., 2007, Polati et al., 2006; Mazzella et al., 2008; Yu et al., 2009). Most of
the studies investigate the performance of Oasis HLB in off-line SPE using different
cartridge size available (from 30 to 500 mg). Other studies employ the direct coupling of online SPE to HPLC with column switching technique (Xu et al., 2007) or 96-well plate
(Morihisa et al., 2008) to obtain high sample throughput. Abselut Nexus, the methacrylate
and divinylbenzene copolymer has been recently applied in clean-up of complex samples,
such as biological matrices with the subsequent extraction of analytes (Rodriguez-Gonzalo
et. al., 2009).
Biesaga et al. (2005) compared the recoveries of chlorophenoxy acidic herbicides using
various SPE cartridges (C18, Strata-X, Oasis HLB, SAX and phenyl-silica). The better
performance of Strata-X, Oasis and phenyl-silica sorbents in comparison with silica gel C18
can be attributed to their aromatic structure, which can interact with aromatic analytes via ππ interactions (Fig. 1). Additionally, Oasis HLB cartridges are water-wettable, and thus there
is no need to ensure that it remains wet before loading the aqueous sample. The recovery of
dicamba, the least hydrophobic compound evaluated, was much lower; only its sorption on
Strata-X reached 74%.
328
Herbicides, Theory and Applications
phenyl
C 18
Strata-X
SAX
Oasis
Recovery, %
100
80
60
40
20
0
1
Dicamba
2
MCPA
2,4-D
3
MCPP
4
5
2,4-DP 2,4,5-T
6
Fig. 1. Recoveries of chlorophenoxy acids extracted from 10 mL of deionized water spiked at
the 5 μg/L level using various SPE cartridges. (Adopted from Biesaga et al., 2005).
3.2 Mixed-mode polymeric sorbents
Mixed-mode polymeric sorbents combine the polymeric skeleton with ion-exchange groups,
thus these hybrid materials rely upon two types of interactions mechanism for their
performance: reversed-phase and ion-exchange (Fontanals et al., 2010). Careful selection of
the polymeric skeleton (which enhances the reversed-phase interactions) and the ionic
groups (which tune the ion-exchange interactions) could give the combination of two highly
desirable properties in solid phase extraction (i.e. retentivity and selectivity) in one single
material. The benefit of the ion-exchange capacity is that either analytes, the matrix
components or even the ionization state of the sorbent (in the case of weak-exchange resins)
can be switched during the different steps in SPE procedure. It allows the interference
elimination in the washing step and eluting the analytes more selectively, just by suitable
pH combination in each step.
Mixed-mode sorbents are classified as cationic or anionic, and as strong or weak ion
exchange, depending on the ionic group attached to the resin. Each of these groups is
designed to extract selectively analytes with certain chemical properties (i.e. strong/weak
acidic or basic). However, the selectivity of the extraction process depends on choosing not
only a suitable sorbent but also a suitable SPE protocol (Fontanals et al., 2010).
Oasis MCX and Oasis MAX have the same as Oasis HLB skeleton (polyvinyl pyrrolidonedivinylbenzene) modified chemically with sulfonic acid and quaternary amine groups,
respectively. These mixed-mode sorbents are mainly applied for extraction of analytes
(charged or not) from complex biological and environmental matrices (Rosales-Conrado et
al., 2005; Sorensen et al., 2008; Rodriguez-Gonzalo et al., 2009).
Solid-Phase Extraction for Enrichment and Separation of Herbicides
329
Lavén et al. (2009) proposed a novel solid phase extraction method whereby 15 basic,
neutral and acidic compounds from wastewater were simultaneously extracted and
subsequently separated into different fractions. This was achieved using mixed-mode
cation- and anion-exchange SPE (Oasis MCX and Oasis MAX) in series. For less complex
samples, e.g. the active-sludge-treatment effluent water, Oasis MCX used alone may be an
alternative method. Although sewage treatment plant influent waters containing high loads
of organic compounds, the clean-up step using only Oasis MCX was insufficient, leading to
unreliable quantitation. Utilising the ability to separate compounds by mixed-mode SPE
according to basic and acidic functionalities should be also very useful in the
characterisation of unknown water contaminants.
4. Molecularly imprinted polymers
Molecularly imprinted polymers (MIPs) are highly crosslinked polymers with specific
binding sites for a particular analyte. The print molecule – called the template – is
chemically coupled with one or several functional monomers and then spatially fixed in a
solid polymer by the polymerisation reaction. After template removal by extraction,
polymers with imprints, which are complementary to the template in terms of size, shape
and functionality are obtained. These polymers are able to rebind selectively the template
molecule or its structural analogues. The right selection of functional monomers is
important in molecular imprinting because the interactions with functional groups affect the
affinity of MIPs (Lasákova & Jandera, 2009). Molecular modelling can be used to predict
which functional monomers are capable to form effective polymers as some monomers have
a natural affinity to some herbicides (Breton et al., 2007).
Two principally different approaches to molecular imprinting may be distinguished. In noncovalent (or self-assembly) approach the imprint molecule complexes the monomers by noncovalent or metal ion coordination interactions. The covalent imprinting employs reversible
covalent bonds and usually involves a prior chemical synthesis step to link the monomers to
the template. The first approach is more flexible in the range of templates that can be used
but covalent imprinting yields better defined and more homogeneous binding sites.
Moreover, the former is practically much easier, since complex formation occurs between
template and monomers in a solution. Figure 2 shows this entire process schematically and
more details on the preparation of imprints can be found elsewhere (Diaz-Garcia & Lamo,
2005; Qiao et al., 2006; Dias et al., 2009). It should be stressed that some monomers have
natural affinity to some herbicides (Breton et al., 2007). The retention on blanks seems to be a
good reflection of the relative affinity of monomers to the herbicides, and this interaction
must be naturally strong enough to allow the binding enhancement by a MIP. Proper
selection of reagents, reaction medium and conditions should take into consideration the
complexity of selective sites formation in the polymer structure to obtain a material capable
of not only highly selective recognition of target analytes but also having good kinetic
parameters (Kloskowski et al., 2009). Kopohpaei et al. (2008) proposed a chemometric
approach for the optimization of the main factors affecting the material structure and the
molecular recognition properties of the MIPs.
Tamayo et al. (2005) found that the use of 2-(trifluoromethyl) acrylic acid as functional
monomer leads to the synthesis of polymers with higher capacities and affinity constants for
phenylurea herbicides in comparison with metacrylic acid when isoproturon was used as
template. Thus, the simultaneous extraction of several herbicides was possible since each
330
Herbicides, Theory and Applications
compound was able to interact with specific binding sites in the presence of related
compounds. However, both linuron and metabromuron were clearly displaced by the other
analytes in the competition experiments and were able to interact only with a very small
number of binding sites.
Assembly
Template
Monomers
Polimerization
Extraction
Fig. 2. Schematic representation of molecular imprinting principle.
Most of the reported studies concern the development of MIPs for one target analyte only,
but basically similar compounds that are present in samples, can also be recognized and
extracted (Chapuis et al., 2003). Herrero-Hernandez et al. (2007) demonstrated the
applicability of an imprinted polymer obtained using bisphenol-A as template for the
determination of several xenobiotic compounds in honey samples. It was found that MIP
was able to extract selectivity phenols and several phenoxyacids, while no-specific
recognition of other compounds such as atrazine, chlotoluron, carbaryl and diuron
herbicides was also observed.
MIPs can be obtained in the format of particles, coatings, monolayers of selective
compounds bound to the surface of support, monolithic packings or fibers (Oxelbark et al.
2007). A fast and straightforward method for preparation and binding study of solid phase
microextraction (SPME) fiber on the basis of atrazine- and ametryn-imprinted polymers has
been proposed (Djozan & Ebrahimi, 2008; Djozan et al., 2009). The fabricated fibers were
thermally and chemically stable and flexible enough to be placed in home-made SPME
syringe and to be inserted directly into GC injection port.
Porous self-supported MIP membranes with developed inner surface have been proposed
for atrazine enrichment (Sergeyeva et al.; 2007). It was shown that the MIP particles
demonstrated significantly less pronounced imprinting effect and lower adsorption
capabilities as compared to the MIP membranes of the same composition. MIPs could be
also incorporated into the acceptor phase of a microporous membrane liquid-liquid
extraction system for preconcentration and clean-ups step before chromatographic analysis
(Mhaka et al., 2009; Hu et al., 2009).
Recent applications of MIP-SPE technique for herbicide analysis are presented in Table 1.
331
Solid-Phase Extraction for Enrichment and Separation of Herbicides
Template
2,4,5-trichloro
phenoxyacetic
acid
Metsulfuron
methyl
Linuron or
isoproturon
Propazine
Cyanazine
Atrazine or
ametryn
Atrazine
Phenoxyacetic
acid
Atrazine
Ametryn
Atrazine
Bisphenol-A
Ametryn
Atrazine
Monomer/cross
linker/solvent
4-vinyl pyridine/
EGDMA/ methanol
-water (3+1, v/v)
4- or 2-vinyl
pyridine/EGDMA/
acetonitrile
MAA or TFMAA/
EDMA/toluene
MAA/EGDMA/
CH2Cl2
MAA/EGDMA/
toluene
MAA or TFMAA
or 4-vinyl pyridine
/EGDMA/toluene
Analytes
Sample
References
Chlorinated
phenoxyacids
River water
Baggiani
et al., 2004
Sufonylurea
herbicides
Tap water
Bastide
et al., 2005
Phenylurea
herbicides
Triazines
Cyanazine,
atrazine
Chlorotriazine
and methyl
thiotriazine
herbicides
Corn sample
extracts
Soil, vegetable
extracts
Waters
Tamayo
et al., 2005
Cacho et al.,
2006
Breton
et al., 2006
River water
Sambe
et al., 2007
Atrazine
Ground
waters
Prasad
et al., 2007
Phenoxyacetic
herbicides
Waters
Zhang
et al., 2007
Triazine
herbicides
Waters
Ametryn
Standards
Triazine
herbicides
Waters, rice,
onion
4-vinyl pyridine
/EGDMA/toluene
Phenoxyacetic
herbicides
Honey
MAA/ EGDMA/
acetonitrile
MAA/ EGDMA/
acetonitrile
Triazine
herbicides
Triazine
herbicides
MAA/EGDMA/
toluene
4-vinyl pyridine
/methanol+water
(1+1, v/v)
MAA/ TEDMA/
DMF
MAA/EGDMA/
acetonitrile
MAA/ EGDMA/
acetonitrile
Drinking
waters
Food samples
Sergeyeva
et al., 2007
Koohpaei
et al., 2008
Djozan
et al., 2008
HerreroHernández
et al., 2009
Koohpaei
et al., 2009
Mhaka et al.,
2009
MAA - methacrylic acid; EGDMA – ethylene glycol dimethacrylate; TFMAA – 2-(trifluoromethyl) acrylic acid;
DVB – divinylbenzene; CH2Cl2 – dichlooromethane; TEDMA – tri(ethylene glycol) dimethacrylate; DMF –
dimethylformamide
Table 1. Recent applications of MIP-SPE technique for herbicide analysis
The analytical procedure based on molecularly imprinted SPE was developed for the
determination of several triazine herbicides in soil and vegetable samples (Cacho et al.,
2006). These samples has proven to be difficult to clean with a non-covalent imprinted
polymer, making necessary the inclusion of an additional clean-up step to remove polar
matrix components that prevented the final accurate quantification of target analytes.
Figure 3 shows the chromatograms obtained with and without SPE procedure of soil (Fig.
332
Herbicides, Theory and Applications
3A) and potato (Fig. 3B) sample extracts spiked with 50 ng/g and 20 ng/g of triazine
herbicides, respectively. As can be observed, the direct determination of triazines without
clean-up was not possible due to interferences appearing in the chromatograms whereas it
could be easily determined after cleaning sample extract using MIPs. The detection limits for
the analysis ranged from 0.4 to 2.4 ng/g depending upon the herbicide, low enough to allow
the environmental monitoring of triazines at concentration level below the established
maximum residue limits by current legislation.
A)
B)
Fig. 3. Chromatograms obtained without (a) and with (b) SPE-MIP of soil (A) and potato (B)
samples extracts spiked with triazine herbicides (50 and 20 ng/g, respectively). Peaks: 1desisopropylatrazine; 2–desethylatrazine; 3–simazine; 4–atrazine; 5–propazine. Adopted
from Cacho et al. (2006).
5. Carbon nanotubes
Carbon nanotubes (CNTs) represent the novel carbon-based nanomaterials with unique
properties such as high surface areas, large aspect ratios, remarkably high mechanical
strength as well as electrical and thermal conductivities. They can be described as a graphite
sheet rolled up into a nanoscale-tube. Two structural forms of CNTs exist: single-walled
(SWCNTs) and multi-walled (MWCNTs) nanotubes. CNT lengths can be as short as a few
Solid-Phase Extraction for Enrichment and Separation of Herbicides
333
hundred nanometers or as long as several microns. SWCNT have diameters between 1 and
10 nm and are normally capped at the ends. In contrast, MWCNT diameters are much larger
(ranging from 5 nm to a few hundred nanometers) because their structure consists of many
concentric cylinders held together by van der Waals forces (Wepasnik et al., 2010).
The characteristic structures and electronic properties of carbon nanotubes allow them to
interact strongly with organic molecules, via non-covalent forces, such as hydrogen bonding,
π- π stacking, electrostatic forces, van der Waals forces and hydrophobic interactions. These
interactions as well as hollow and layered nanosized structures make them a good
candidate for application as a sorbent. The surface, made up of carbon atoms hexagonal
arrays in graphene sheets, interacts particularly strongly with the benzene rings of aromatic
compounds.
Oxidation of CNTs with nitric acid is an effective method to remove the amorphous carbon,
carbon black and carbon particles introduces by their preparation process (Yang et al., 2006). It
is known that oxidation of carbon surface can offer not only more hydrophilic surface
structure, but also a larger number of oxygen-containing functional groups, which increase the
ion-exchange capability of carbon material. Gas phase oxidation of activated carbon increases
mainly the concentration of hydroxyl and carbonyl surface groups, while oxidation in the
liquid phase increases particularly the content of carboxylic acids (Dastgheib & Rockstraw,
2002). The amount of carboxyl and lactone groups on the CNTs treated with nitric acid was
higher in comparison to the process conducted using H2O2 and KMnO4 (An & Zeng, 2003).
Datsyuk et al. (2008) found that the nitric acid (65%) treated carbon nanotubes under reflux
conditions for 48h suffered very high degree of degradation such as nanotube shortening and
additional effect generation in the graphitic network. Functional groups can change the
wettability of CNTs surfaces and consequently make them more hydrophilic and suitable for
sorption of relatively low molecular weight and polar compounds. On the other hand,
functional groups may increase diffusional resistance and reduce the accessibility and affinity
of CNTs surfaces for organic compounds (Cho et al., 2008).
Recent applications of carbon nanotubes for removal and enrichment of herbicides in
different types of samples are presented in Table 2. Earlier reports were discussed in the
review papers (Pang & Xing, 2008; Pyrzynska, 2008).
The comparison of carbon nanotubes, activated carbon and C18 silica in terms of analytical
performance, application to environmental water, cartridge re-use, adsorption capacity and
cost of adsorbent has been made for propoxur, antrazine and methidation herbicides (ElSkeikh et al., 2008). The adsorption capacity of CNTs was almost three times higher than
that of activated carbon and C18, while activated carbon was superior over the other
sorbents due to its low cost.
A comparative study suggested that carbon nanotubes had a higher extraction efficiency
than Oasis HLB for the extraction of methamidophos and acephate, particularly for seawater
samples (Li et al., 2009). Figure 4 presents the chromatograms of six organophosphorus
pesticides in the spiked seawater sample extracted using CNTs and Oasis HLB sorbent. For
other tested polar organophosphorus pesticides (dichlorvos, omethoate, monocrotophos
and dimethoate) improvement was not significant, thus CNTs could supplement Oasis HLB
for these compounds extraction.
Zhou et al. (2007) compared the trapping efficiency of CNTs and C18 packed cartridge using
sulfonylurea herbicides as the model compounds. When the matrices of the samples were
very simple, such as tap water and reservoir water, the enrichment performance between
334
Herbicides, Theory and Applications
Analytes
Sample
Sulfonylurea herbicides Waters
Atrazine and its
metabolites
Organophosphorous
herbicides
Various herbicides
Eluent
Acetonitrile
Ethyl acetate
72-109
Fruit juices
Dichloromethane
73 –103
Natural
waters
Acetonitrile
81 – 108
Dichloromethane
with formic acid
(5% v/v)
Chloroacetanilide
herbicides
Ethyl acetate
Tap, river
water
Acetonitrile/
methanol
(50%, v/v)
Acetonitrile +
Environmental
1% acetic acid
Sulfonylurea herbicides
waters
Organophosphorus
herbicides
80 - 105
Water, soil
Pirimicarb, pyrifenox,
Mineral water
penconazol, cyprodynil,
carbendazim,
Triazine herbicides
Recovery
%
Water
Seawater
Acetone or
methanol
53 – 94
77 –104
Reference
Zhou et al.,
2007
Min et al.,
2008
Ravelo-Perez
et al., 2008
El-Sheikh et
al., 2008
AwensioRamos et al.,
2008
Dong et al.,
2009
84-104
Al-Degs et al.,
2009
79 - 102
Niu et al.,
2009
79 - 102
Li et al.,
2009
Table 2. Recent applications of carbon nanotubes for removal and enrichment of herbicides
Fig. 2. Chromatograms of organophosphorus pesticides (1.0 μg/L) in the spiked seawater
extracted with CNTs and Oasis HLB. Peaks identification: 1-dichlorvos, 2-methamidophos,
3-acephate, 4-omethoate, 5-monocrotophos, 6-dimethoate. Adapted from Li et al. (2009).
Solid-Phase Extraction for Enrichment and Separation of Herbicides
335
these two adsorbents had no significant difference. However, carbon nanotubes become
much more suitable to extract herbicides from complex matrices (seawater and well-water).
Carbon nanotubes could be also used in a format of disc. Incorporating sorbents of small
particle size, the disc format possesses a larger surface area than the cartridge, resulting in
good mass transfer and fast flow rates (Niu et al., 2009). To enhance the sorption capacity of
the disks, double or even triple disks were used together. A comparison study showed that
the double-disk system (comprising two stacked disks with 60 mg of CNTs) exhibited
extraction capabilities that were comparable to those of a commercial C18 disk with 500 mg
sorbent for nonpolar or moderately polar compounds. The triple layered CNTs disk system
showed good extraction efficiency when the sample volume was up to 3 000 mL (Niu et al.,
2008).
Carbon nanotubes with high porosity and large adsorption area seems to be a good
candidate for solid phase microextraction coating. Rastkari et al. (2009) proposed a novel
coating by attaching CNTs onto a stainless steel wire through organic binder. The results
showed that the CNTs fiber exhibited higher sensitivity and longer life span (over 150 times)
than the commercial carboxen/polydimethylsiloxane coating.
6. On-line preconcentration
Solid phase extraction could be performed on-line by direct connection to the
chromatographic system, therefore fully automated technique could be utilised.
Hyphenated on-line SPE-HPLC systems are designed to improve not only sensitivity and
selectivity of determination but also reduced sample manipulation and time, better intraand inter-day reproducibility, higher sample throughputs as well better precision due to
lower human participation, but typically requires the use of program controlled switch
valves and column reconfiguration (Segura et al., 2007; Viglino et al., 2008). The extraction
sorbents include mainly disposable cartridges, restricted access media,, large-size particle
and monolithic materials (Xu et al., 2007).
The valve setup for on-line SPE is presented in Fig. 3. The column-switching valve is used to
direct the flow from the extraction column either to waste or to the HPLC analytical column.
At the beginning of each run, the SPE column is conditioned. In the load position, sample is
directly loaded in the loop and then preconcentrated, while matrix components are removed
during the washing step. The valve is then switched, so that appropriate solution can elute
the analytes from the extraction column onto the analytical column, when they are
separated pior detection. After elution, the valve is switched back to its original position to
wash and re-equilibrate the extraction column.
To improve the detection limit of column-switching system, the analytes should be
preconcentrated from larger sample volume. Nevertheless, this would only be achieved if
the analytes do not break through the SPE column. Garcia-Ac et al. (2009) estimated the
breakthrough volumes of three herbicides (atrazine, cyanazine, simazine) and two of their
transformation products (deethylatrazine and deisopropylatrazine) for several on-line SPE
columns made of different sorbent materials. It was found that Strata-X was the best
candidate for the preconcentration of large volume samples and all studied polymeric
phases showed higher breaktrough volume than silica-based phases. The preconentration of
10 mL sample lowered the limit of detection by a factor of 5 for atrazine, deethylatrazine
and simazine, while for deisopropylatrazine the improvement factor was > 10.
336
Herbicides, Theory and Applications
Fig. 3. Schematic diagram of valves configuration for on-line SPE-HPLC system.
The extraction column is treated as a permanent component of the flow network, being used
repeatedly for the sample-loading and elution sequences, and being replaced or repacked
only after long-term operation. The repeated use of sorbents may progressively affect their
retention capabilities due to contamination or deactivation. Also, if the retained species are
not totally eluted from the sorbent medium, this leads to carry-over effects between
consecutive runs. An alternative to overcome these drawbacks relies on a surface-renewal
scheme, the so-called SI-bead injection, where the contents of the SPE column are
withdrawn on-line and replaced for each analytical run (Miró & Hansen, 2006). This
approach was used for determination of chlorotriazine herbicides and primary
monodealkylated metabolites in untreated complex environmental samples (e.g, ground
waters from domestic rural wells and soil extracts). An automatic tandem-column
multimodal-bead injection approach combining two types of sorbent beads (watercompatible MIP and reversed-phase mixed-mode Oasis HLB) was developed prior to online LC separation (Boonjob et al., 2010). The limit of detection for analysis of spiked water
at the 0.5 µg/L level was in the range of 0.02 - 0.04 µg/L and overall procedure
reproducibility within 1.4 – 5.5% RSD.
7. Quality control
Together with the fast development of analytical methodologies, the great importance is
now attached to the quality of the measurement data. Many important decisions are based
on measurements, thus good-quality analytical results are essential. The key property of
Solid-Phase Extraction for Enrichment and Separation of Herbicides
337
reliable results is their metrological traceability to stated references with a well established
evaluation of the measurement uncertainty (Quevauville, 2004). In practice, method
validation is done by evaluating series of method-performance characteristics, such as
linearity, operating range, recovery, limit of detection and quantification, precision,
selectivity and calibration. The relevant information in the fields of analytical method
validation and quality assurances have been published (Taverniers et al., 2004; Gonzalez et
al., 2004).
Matrix Reference Materials (MRM) are essential tools for the analytical protocols validation.
The feasibility study of a MRM for the analysis of triazines and phenylurea herbicides in
water was carried out (Deplagne et al., 2006). Different types of candidates MRM were
prepared: solutions of pesticides diluted in acetonitrile and stored in sealed vials or stored at
the dry state after the solvent evaporation to dryness, pesticides stored on two different
types of polymeric sorbents (Oasis HLB and ENVI-Chrom P) after the percolation of
drinking or river water spiked with herbicides. The stability of compounds stored at various
temperatures was studied over a period of approximately one year. During the storage,
some samples of each different MRM candidate were monthly analyzed by HPLC.
Regarding the choice of materials for storage, it was found that a careful control of the
temperature of evaporation to dryness is not necessary and similar results were obtained for
recovery of herbicides for both used sorbents All herbicides, except simazine, stored as a dry
residue at room temperature exhibited a decrease in concentration of more than 20%. The
stability seemed to be better when vials were stored at 0.5 oC and at -18 oC neither
degradation nor loss of herbicides was observed. This study showed satisfactory long term
stability (more than one year) at low temperature for herbicides stored in acetonitrile in vials
and for herbicides concentrated on SPE cartridge obtained after passing through a water
sample containing these analytes.
To evaluate behavior of these materials containing herbicides, a collaborative study
including 15 laboratories has been organized (Mrabet et al., 2006). Observed reproducibility
on candidate materials (after the removal of extreme results) was 16.1% for the vials with
pesticides in acetonitrile (at around 0.125 mg/L) directly analyzed, 29.2% for a water sample
spiked with the pesticides (at around 0.5 µg/L) analyzed after preconcentration on the
cartridge and 26.7% for the cartridges previously percolated with the water containing the
pesticides (250 mL at around 0.5 µg/L for each pesticide) analyzed after elution.
8. Conclusion
Several hundred herbicides of different chemical structure are used world-wide in
agriculture. Due to their persistence, polar nature and water solubility, they are dispersed in
the environment and their residues and transformation products are present in several
environmental matrices. With increasing public concerns for agrochemicals and their
potential movement in the ecosystem, many countries have severely restricted the
maximum acceptable concentration of herbicides in drinking water and in vegetable foods.
Therefore, the availability of sensitive, selective, precise and rapid analysis methods is
essential. Herbicide residue analysis generally requires several steps such as extraction from
the sample of interest, removal of interfering co-extractives, analytes enrichment and
quantification of their content.
Solid-phase extraction is the top sample-extraction technique for liquid samples, since it can
efficiently extract different types of analytes from their matrices and enrich them. Among
338
Herbicides, Theory and Applications
other advantages, SPE is versatile because a variety of sorbents is available, and the
extraction can be tuned depending on how these sorbents interact with the analytes. In
recent years, research into new kind of sorbents has focused on improving their capacity
and selectivity. Mixed-mode polymeric sorbents, molecularly imprinted polymers and
carbon nanotubes are among the new kind of sorbents, which could be useful in enrichment
and clean-up purposes in herbicide analysis. MIPs are more selective than mixed-mode
sorbents; however, mixed-mode sorbents have greater capacity than MIPs. Carbon
nanotubes have a strong adsorption affinity for a wide variety of organic compounds,
including pesticides, and are also characterized by their high sorption surface. The use of
carbon-encapsulated magnetic nanoparticles avoids the time-consuming column passing
and filtration operation and shows great analytical potential in preconcentration of large
volumes of real water samples (Zhao et al., 2008). Application of carbon nanostructures
have been facilitated by the improvement in their production as the cost has been a main
factor in limiting commercialization. However, it is widely believed that if production
volumes increase, cost would decrease markedly, thereby significantly increasing the
utilization of the excellent properties of nanostructured carbon. Recently, new solvent-free
process for producing CNTs from used polymers via thermal dissociation in the closed
reactor under the inert or air atmosphere has been proposed (Pol & Thiyagarajan, 2010).
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17
Chemometric Strategies for the
Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
Cristina Díez1, Enrique Barrado1 and José Antonio Rodríguez2
2Hidalgo
1University of Valladolid
State Autonomous University Pachuca-Hidalgo
1Spain
2Mexico
1. Introduction
1.1 Herbicide benefits and concerns
The two cereal crops which are grown most abundantly in the EU are wheat and barley
(Document No. SANCO/D3/SI2.396179, 2005). Herbicides play a very important role in
effectively controlling annual grasses and broad-leaved weeds affecting these crops. Their
use cannot be neglected due to the enormous benefits in agricultural outputs. Among them,
acidic herbicides are widely used for control of broad-leaved weeds and other vegetation
because they are relatively inexpensive and very potent even at low concentrations (Wells &
Yu, 2000).
However, due to the herbicide widespread and possible toxicity in the environment, it is
important to monitor their residues. Under realistic field situations there is a potential
exposure to agricultural soils by these products indirectly through spray drift and run-off
from crop vegetation surfaces, and directly through soil treatment practices (Document No.
D/00/SuM/5277, 2000). They have harmful effects on the microflora of the soil when they
are not degraded quickly enough (Santos-Delgado et al., 2000).
1.2 Herbicide characteristics
There are many compounds registered as herbicides intended for their use in cereal crops,
which can be classified into several chemical classes in accordance with their chemical
structures.
Substituted ureas are one of the oldest herbicide groups used in agriculture, being two of the
most important, phenylureas, employed since early fifties, and sulphonylureas, developed
more recently with a high herbicidal activity resulting in low applications doses (Tadeo et
al., 2000). Among the basic herbicides, triazines are the most important selective herbicides
(Pinto & Jardim, 2000). Triazinic herbicides have been widely used in the last years for crop
protection in agriculture and weed removal in different lands. Among neutral herbicides,
dinitroaniline herbicides are usually soil applied in a wide variety of agronomic crops and
particularly, in winter and spring cereals. Thiocarbamates have been used as herbicides in
maize and wheat for several decades (Tadeo et al., 2000).
346
Herbicides, Theory and Applications
Acidic herbicides consist of several families of compounds that are related by similarities in
biological activity and chemical properties which influence the way they are extracted and
analyzed. These families of compounds are derivatives of acidic functional groups including
benzoic acid (dicamba), acetic acid [2,4-dichlorophenoxyacetic acid (2,4-D) and 4-chloro-2methylphenoxyacetic acid (MCPA)], propanoic acid [dichlorprop, diclofop, fenoxaprop p
and 2-(4-chloro-2-methylphenoxy)propanoic acid (MCPP)], picolinic acid (clopyralid) and
pyridinecarboxylic acid (fluroxypyr) among others (Wells & Yu, 2000). Acidic herbicides can
be applied in the form of free acids, salts or esters (Analytical Methods for Pesticide
Residues in Foodstuffs, Part I, 1996). Several studies have shown that in the environment,
acidic herbicides formulated as esters undergo fast hydrolysis, on the order of 24–48 h,
depending on pH and other conditions and in the presence of vegetable tissues and soil
bacteria yielding the corresponding free acids (Budde, 2004; Marchese, 2001; Tadeo et al.,
2000). Therefore, they are generally present as the corresponding acids and most frequently
exist in ionized form at most environmental pH values (Wells & Yu, 2000).
1.3 Multiresidue determination and analysis
Since spray history or environmental background of most soil samples is unknown, method
development efforts have concentrated on multiresidue methods (Regulation EC No
1107/2009, 2009; Document No. SANCO/825/00, 2004). They require universality of the
isolation and clean-up procedure and, as far as possible, unification of the conditions of the
chromatographic separation (Tekel & Kovacicová, 1993).
Acetone, acetonitrile and ethyl acetate, sometimes at acidic pH, are the most usual organic
solvents employed in the extraction of a large number of herbicide residues belonging to
different groups (Kremer et al., 2004; Jiménez et al., 2000; Mastovska & Lehotay, 2004;
Papadopoulou-Mourkidou et al., 1997; Sánchez-Brunete & Tadeo, 1996). The neutral
(dinitroanilines, phenylureas, thiocarbamates) and basic (triazines) multiresidue herbicide
extractions from soils are usually carried out with organic solvents (Tadeo et al., 1996). The
addition of water has been reported, in some cases, to increase desorption of herbicides from
the matrix because it is both a solvent for the analyte and a solute that can compete for
adsorption sites (Tadeo et al., 1996).
Acidic herbicides (phenoxyacids, benzoic acids, sulfonylureas) are reported in most cases to
be extracted at low pH conditions that suppress the ionization of acids and make them
neutral and more apt to be extracted with an organic solvent (Macutkiewicz et al., 2003;
Marchese, 2001; Nolte & Kruger, 1999; Sánchez-Brunete & Tadeo, 1996; Wells & Yu, 2000).
They are usually extracted from soils with solid-liquid extraction with organic solvent–
water mixtures at an acid pH with a solvent of medium polarity or with an alkaline solution
with sodium hydroxide 0.5 M (EPA Method 8151A, 1996). Afterwards, the extract is
acidified and partitioned into an organic solvent immiscible with water or concentrated with
solid-phase extraction (SPE) (Crespín et al., 2001; Menasseri & Koskinen, 2004; Patsias, 2002).
Many procedures have been shown to effectively extract acid herbicides with organic
solvents of medium polarity in mixtures with water and acetic acid (Ahmed & Bertrand,
1989; Crescenzi et al., 1999; Menasseri & Koskinen, 2004; Smith & Milward, 1981; Smith,
1995). In the same way, ammonium hydroxide has been reported to enhance basic herbicide
recoveries (Smith & Milward, 1981).
No pH adjustment for non-ionic and basic analyte water removal by liquid partition has
been reported (Papadopoulou-Mourkidou et al., 1997), meanwhile methods without
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
347
previous acidification (Ahmed & Bertrand, 1989) and with previous pH adjustment to pH 2
(Crespín et al., 2001; EPA Method 8151A, 1996; Sánchez-Brunete & Tadeo, 1996) have been
found for acid analytes.
Herbicides formulated as esters have been reported to rapidly hydrolyze in contact with soil
to their corresponding acids and phenols (Budde, 2004). The analyst, therefore, must either
evaluate the herbicides in both the ester and hydrolyzed acid forms, or convert all
components present to their free acids before analysis. For example, some analytical
methods specify a strong base hydrolysis of any residual esters before conversion of the
acids to methyl esters for GC (Wells & Yu, 2000). However, this approach is unsuitable for
multi-class herbicide residue analysis because other analytes will be destroyed under such
strong conditions. To avoid this loss, a unique multiresidue extraction and a simultaneous
analysis for both esters and their corresponding free acids is intended.
The use of GC-MS is a very versatile and sensitive method for residue analysis due to the
high sensitivity obtained and MS is a very valuable detection technique, because it provides
information on the compound molecular structure and it is also highly sensitive and
selective when used in the single ion monitoring (SIM) mode (Tadeo et al., 2000).
The acidic compounds, because of their polar nature, suffer from peak asymmetry and
tailing in the GC stationary phases. Masking of these acidic hydrogens by derivatization to
their corresponding esters is essential in order to yield products with enhanced volatility
that can undergo analysis by GC (Catalina et al., 2000). The typical reactions of
derivatization of phenoxyacids are trans-esterification, esterification, silylation, alkylation
and extractive and pyrolytic alkylation (Rompa et al., 2004). The formation of methyl
esters/ethers is particularly preferred, because they can be easily prepared and have
reasonably short GC retention times (Macutkiewicz et al., 2003). The most useful reagent of
pyrolytic alkylating reagents is TMSH ((CH3)3SOH (Yamauchi et al, 1979) which provides an
efficient methylation by pyrolysis of the previously formed salts of nucleophiles, e.g.
carboxylic acids and phenols to their corresponding methyl esters and methyl ethers (Butte,
1983). It can be used in two ways, i.e. to methylate free acids by pyrolysis of the salt in the
heated injection port of a GC, or to effect base-catalyzed trans-esterification of other esters to
their methyl esters (Butte, 1983; Christie, 1993). As a result, methyl esters are the final
product of both reactions. This reaction is very elegant and convenient, because it is just
necessary to add the reagent to the sample solution with little or no work-up and reacts very
rapidly (Butte, 1983; Halket & Zaikin, 2004). In addition, removal of excess reagent is not
required, as in other derivatization reactions, because the only by-products of this reaction
are dimethylsulphide (b.p. 37ºC), and methanol that elute with the solvent peak and do not
disturb the chromatographic separation of analytes.
2. Introduction. Method development. Chemometric strategies
Since the extraction process for a number of analytes occurs, more or less, in a single run
within multiresidue methods, the efficiency of the recovery of each individual component
differs from each other, due to their different chemical structures. A detailed optimization of
these multiresidue procedures would, therefore, help to adjust the applied conditions in a
way to obtain the maximum recovery percentage for most of the constituents of the sample.
These multiresidue methods, however, are in principle rather costly for implementation on a
large scale, so they require the use of chemometric strategies applied to method
development in order to ensure an efficient recovery.
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Herbicides, Theory and Applications
A frame of integration between analytical procedures and chemometric methods has made
the extraction of relevant underlying analytical information possible, largely applied in the
environmental science where data interpretation is of great interest (Einax et al., 1997).
Chemometrics is a chemical discipline that uses mathematics, statistics and formal logic to
design or select optimal experimental procedures, to provide maximum relevant chemical
information by analyzing chemical data; and to obtain knowledge about chemical systems
(Massart et al., 1998). Some of these chemometric strategies are detailed in this chapter.
2.1 Pattern recognition: multivariate analysis
Pattern recognition is the scientific discipline whose goal is the classification of objects into a
number of categories or classes. It “reveals” the organization of patterns into “sensible”
clusters (groups), which will allow to discover similarities and differences among patterns
and to derive useful conclusions about them.
Classification is synonymous with pattern recognition, and scientists have turned to it and
PCA and cluster analysis to analyze the large data sets typically generated in environmental
studies that employ computerized instrumentation. The set of measurements that describe
each sample in the data set is called a pattern. The determination of the property of interest
by assigning a sample to its respective category is called recognition, hence the term pattern
recognition. Clustering and classification are the major subdivisions of pattern recognition
techniques.
In a typical pattern recognition study, samples are classified according to a specific property
using measurements that are indirectly related to that property. An empirical relationship or
classification rule is developed from a set of samples for which the property of interest and
the measurements are known. The classification rule is then used to predict this property in
samples that are not part of the original training set (Lavine, 2000; McLachlan, 1992).
2.1.1 Cluster analysis
Cluster analysis (Kaufman & Rousseeuw, 1990; Massart, 1983) is the name given to a set of
techniques whose basic objective is to discover sample groupings within data. For cluster
analysis, each sample is treated as a point in an n-dimensional measurement space. The
coordinate axes of this space are defined by the measurements used to characterize the
samples. Cluster analysis assesses the similarity between samples by measuring the
distances between the points in the measurement space. A basic assumption is that the
distance between pairs of points in this measurement space is inversely related to the degree
of similarity between the corresponding samples. Points representing samples from one
class will cluster in a limited region of the measurement space distant from the points
corresponding to the other class. Samples that are similar will lie close to one another,
whereas dissimilar samples are distant from each other (Lavine, 2000). Samples within the
same group are more similar to each other than samples in different groups.
Clustering methods are divided into three categories, hierarchical, object-functional, and
graph theoretical. The hierarchical methods are the most popular. The results of a
hierarchical clustering study are usually displayed as a dendogram, which is a treeshaped
map of the intersample distances in the data set. The dendogram shows the merging of
samples into clusters at various stages of the analysis and the similarities at which the
clusters merge, with the clustering displayed hierarchically (Lavine, 2000).
Clustering has a lot of applications:
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
1.
2.
3.
4.
349
Data reduction: Many times, the amount of the available data, N, is very large and, as a
consequence, its processing becomes very demanding. Cluster analysis can be used in
order to group the data into a number of sensible clusters, m (<<N) and to process each
cluster as a single entity.
Prediction based on groups: the resulting clusters are characterized based on the
characteristics of the patterns by which they are formed. In the sequel, if an unknown
pattern is given, it can be determined the cluster to which it is more likely to belong and
it can be characterized based on the characterization of the respective cluster.
Hypothesis generation: cluster analysis is applied to a data set in order to infer some
hypotheses concerning the nature of the data. Thus, clustering is used as a vehicle to
suggest hypotheses. These hypotheses must then be verified using other data sets.
Hypothesis testing: In this context, cluster analysis is used for the verification of the
validity of a specific hypothesis.
2.1.2 Principal component analysis
PCA (Brown, 1995; Joliffe, 1986, Wold et al., 1987) aims to reduce the dimensionality of a
data set, while simultaneously retaining the information present in the data. It allows the
transformation and visualization of complex data sets into a new perspective in which the
more relevant information is made more obvious. PCA extracts maximal information from
large data matrices containing numerous columns and rows because it calculates the
correlations between the columns of the data matrix and classifies the variables according to
the coefficients of correlations (Cserháti; 2010; Kaliszan, 1997; Mardia et al., 1979;
Vandeginste et al., 1998).
The original measurement variables are transformed into new conceptually meaningful
variables called principal components which account for most of the variation providing
reduction of the dimensionality of the dataset. By plotting the data in a coordinate system
defined by the two or three largest principal components, it is possible to identify key
relationships in the data, that is, find similarities and differences among objects in a data set.
The first component is the linear combination of variables that contribute most to the total
variance. The second principal component is orthogonal to the first and accounts for most of
the residual variance. Each principal component describes a different source of information
because each defines a different direction of scatter or variance in the data (the scatter of the
data points in the measurement space is a direct measure of the data’s variance). Hence, the
orthogonality constraint imposed by the mathematics of PCA ensures that each variancebased axis will be independent (Lavine, 2000).
One measure of the amount of information conveyed by each principal component is the
variance of the data explained by the principal component. The variance explained by each
principal component is expressed in terms of its eigenvalue. For this reason, principal
components are usually arranged in order of decreasing eigenvalues or waning information
content. The most informative principal component is the first and the least informative is
the last. By examining the eigen vector for those variables that load heavily to the
component axis, it is possible to give the principal axis a physical interpretation. The closer
the values are to 1 or -1, the more they contribute to that component, i.e. the axis aligned to
the variable is also closely aligned to the component axis. If the value is closer to 0, the axis
for the variable is at a right angle to the component axis and does not influence it greatly.
Due to its versatility and its easy-to-use multivariate mathematical–statistical procedure,
PCA is frequently used in many fields of up-to date research, such as environmental
protection studies (Cserháti; 2010; Hildebrandt et al., 2008).
350
Herbicides, Theory and Applications
2.2 Optimization experimental designs. Orthogonal Arrays
The optimization of any process can be tried either by the trial and error method, the one-ata-time design or achieved by experimental design methods. The one-at-a-time design is a
classical Univariate method which consists of investigating the response for each factor
while all other factors are held at a constant level. Therefore, the variation of response can be
attributed to the variation of the factor. They are time-consuming methods which do not
take interactive effects between factors into account because the real optimum cannot be
achieved. In this case, the use of factorial designs, which are based in blocking, is very useful
because the response is measured for all possible combination of the chosen factor levels.
Blocking is one of the fundamental principles of good experimental design because it
reduces the variability from the most important sources and hence increases the precision of
experimental measurements. Essentially, experimental units are grouped into homogeneous
clusters in an attempt to improve the comparison of treatments by randomly allocating the
treatments within each cluster or “block” (Hanrahan et al., 2008).
Screening techniques such as Factorial Designs allow the analyst to select which factors are
significant and at what levels. Such techniques are vital in determining initial factor
significance for subsequent optimization. The most general (two-level design) is a full
factorial design and described as 2k designs, where the base 2 stands for the number of
factor levels and k is the number of factors each with a high and a low value (Bruns et al.,
2006; Otto, 1999). One obvious disadvantage of factorial designs is the large number of
experiments required when several variables are examined. However, this number can be
considerably reduced by the use of Fractional Factorial Designs, such as Orthogonal Array
designs (OA) (Lan et al., 1994; Lan et al., 1995), orthogonal meaning balanced (Wan et al.,
1994). The theory and methodology of OA, as a chemometric method for the optimization of
the analytical procedure, have been described in detail elsewhere (Lan et al., 1994; Lan et al.,
1995). They imply the use of a strategically designed experiment which deliberately
introduces changes in order to identify factors affecting the procedure, and estimate the
factor levels yielding the optimum response with minimal experimental investment (Oles,
1993; Wan et al., 1994). They assign factors to a series of experiment combinations whose
results can then be analyzed by using a common mathematical procedure. The main effects
of the factors and preselected interactions are independently extracted.
Although the optimization by factorial designs is regarded as a simultaneous method, the
optimum is actually located step by step as in sequential approaches. Therefore, previous
knowledge of the variables, past experience and intuition are very helpful in arranging the
variables and levels of the experiment because OA only cover a predefined region (Wan et
al., 1994).
Taguchi Parameter Design, which uses OA, introduces, in addition, the concept of the
signal-to-noise ratio to evaluate the variation of the response around the mean value due to
experimental noise, which makes the optimum response robust against uncontrollable
external variability, named noise factors (Barrado et al., 1998; Bendell et al., 1989; Ross, 1988;
Taguchi, 1991). It allows separating the effect of each factor on the output variable in terms
of mean response (regular analysis) and signal-to-noise ratio analysis. It has the following
aims: to identify factors affecting the procedure, to estimate the factor values leading an
optimum response and to decrease the process variability without controlling or eliminating
causes of variation, which yields a process robust against noise factors.
The steps for implementing the experimental design are the following:
1. To select the output variable to be optimised,
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
351
2.
To identify factors and their interactions affecting the output variable and to choose the
levels to be tested,
3. To select the adequate orthogonal array,
4. To assign factors and interactions to the columns of the array,
5. To perform the experiments,
6. To carry out an statistical analysis of the data and determine the optimum factor levels,
and
7. To conduct a confirmatory experiment.
Different OA have been applied in analytical method development allowing the
identification of the principal and interaction effects of the extraction conditions on the
recovery of pollutants (Mostert et al., 2010), and more specifically to pesticides from various
environmental samples, such as vegetables (Pena et al., 2006; Quan et al., 2004; Wan et al.,
2010), soils (Delgado-Moreno et al., 2009; Fuentes et al., 2007; Sun et al., 2003) or water
samples (Bagheri et al., 2000; Chee et al., 1995; Lin & Fuh, 2010; Pasti el al, 2007; Wells et al.,
1994; Wan et al., 1994). OA have also been applied to the optimization of derivatization
procedures to analyse pesticides by GC (Stalikas & Pilidis; 2000).
3. Experimental procedures
3.1 Principle of the experimental method
The application of some chemometric strategies in order to develop a multiresidue
extraction and analysis method for nearly 40 herbicides, belonging to very different
chemical families, in agricultural soils of barley crops is shown.
The influence of some variables in recovery was studied by a set of previous experiments
analyzed by PCA and Clustering techniques. Then, the most important factors affecting the
multiresidue herbicide extraction were optimized by an OA.
The acidic and phenol herbicide methylation by TMSH in order to analyse their methyl
esters/ethers by GC, was also optimised by an OA.
3.2 Reagents, equipment and analysis
Reagents
•
•
•
•
The herbicides studied in this work are summarised in Table 1 together with some
important physicochemical properties (The FOOTPRINT Pesticide Properties DataBase,
2006). All herbicide standards were obtained from Dr. Ehrenstorfer (Augsburg,
Germany). Individual stock standard solutions (1000 mg/l) were prepared in acetone
and stored in the dark at -20ºC. They were kept for 1 hour at ambient temperature
previously to their use. Working standard mixtures in acetone, containing 10 mg/l of
each pesticide were prepared by dilution.
Calibration standards were prepared by dilution in acetone acidified with 1% acetic
acid. The internal standard was prepared by dissolving Alachlor (a sunflower
herbicide) in acetone to make stock solutions of 1000 mg/l and diluted in acetone
acidified with 1% acetic acid to 1 mg/l before the addition of 20 µl to samples.
Organic solvents intended for extraction, were at least HPLC grade and were provided
by Labscan (Dublin, Ireland) together with the glacial acetic acid and the ammonium
hydroxide (28% in water).
Trimethylsulfonium hydroxide (TMSH) purum 0.25 M in methanol, was purchased
from Fluka (Buchs, Switzerland) and stored at 4ºC.
352
•
•
Herbicides, Theory and Applications
Bulk quantities of Na2SO4, obtained from Merck (Darmstadt, Germany), were heated to
500°C for more than 5 hours to remove phthalates and any residual water prior to its
use in the laboratory.
The same soil was used for all the tests: 46% sand, 37% silt, 17% clay; 0.69% organic
matter, 8.5 pH (H2O) and 9.2 meq/100 g ion exchange capacity. Soil samples were
allowed to dry at room temperature in the dark, sieved and frozen at -20ºC till
extraction.
Equipment and analysis
•
•
•
•
•
An Agilent Technologies 6890N Network GC System Chromatograph (Waldbronn,
Germany) equipped with an Agilent Technologies 7683 Series Splitless Injector and an
Agilent Technologies 5973 Quadrupole Mass Selective Detector operated in the SIM
mode was used. Injector temperature was set at 250ºC and the transfer line temperature
at 280ºC. Splitless injection volume was 1 µl.
A J & W Scientific, DB-17, (30 m × 0.25 mm I.D.), 0.25 μm film thickness column, was
employed with helium (99.999% purity) as carrier gas at a constant flow of 1 ml/min.
The oven temperature for neutral and basic analytes, was maintained at 60ºC for 1 min
and then programmed at 6ºC/min to 165ºC, then at 12ºC/min to 215ºC, then at
2ºC/min to 230ºC and finally at 8ºC/min to 280ºC, held for 10 min.
The oven temperature for acids analysed as their methyl esters/ethers, was maintained
at 60ºC for 1 min and then programmed at 22ºC/min to 290ºC, held for 4.55 min.
Acidic herbicides were compared with procedural standards, i.e. mixtures of acid
standards of known concentration derivatized in the same way as samples.
3.3 Working procedure
3.3.1 PCA and cluster analysis. Previous experiments for soil extraction OA
Table 2 shows the previous tests designed to characterize the influence of the variables that
would be further optimized with the OA after their analysis by PCA and Cluster techniques.
These experiments were designed taking into account the Kovacs series of extraction
solvents (Kovacs, 1996), together with the use of water and different modifiers (acetic acid
and ammonium hydroxide) in order to increase recoveries of ionic herbicides as already
detailed in section 2.3. Acetone was chosen as the unique organic solvent in these previous
experiments because it has been widely used in herbicide extraction (Sánchez-Brunete &
Tadeo, 1996), and its medium polarity and water miscibility provided a general overview.
All quantities were made equivalent in order to compare recoveries. The same
sample:solvent ratio was used in all these previous tests (1:3.2). A fixed water volume of 7.5
ml, enough to adequately wet 15 g of the spiked soil, was added in all the experiments
where water addition was tested.
After shaking 15 g of blank soil samples, spiked at 0.05 mg/l, with the corresponding
extraction mixture for 1 hour, and centrifugation at 2500 rpm for 5 min, an extract volume
equivalent to 8 g of soil was recovered and concentrated until near dryness in a turbo vap at
35°C. Then, the concentrated extract was filled up with acetone:1% acetic acid until an
equivalent concentration of 8 g/ml, filtered through a 0.45 μm PTFE filter and added the
internal standard previously to the GC–MS analysis. In case water was present in the
extraction mixture, the supernatant was previously partitioned after the centrifugation with
30 ml of dichloromethane and enough Na2SO4 to bind the water. No pH adjustment and pH
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
No.
Compound
1
Dicamba
2
2,4-D
3
MCPP
4
Dichlorprop p
5
MCPA
6
Amidosulfuron
7 Tribenuron methyl
MF
C8H6Cl2O3
C8H6Cl2O3
C10H11ClO3
C9H8Cl2O3
C9H9ClO3
C9H15N5O7S2
C15H17N5O6S
8
Fenoxaprop p
C16H12ClNO5
9
Diclofop
C15H12Cl2O4
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
Flamprop
Bromoxynil
Ioxynil
Cyanazine
Terbuthylazine
Terbutryn
Metribuzin
Carfentrazone ethyl
Metoxuron
Isoproturon
Chlortoluron
Methabenzthiazuron
Linuron
Tralkoxydim
Flamprop isopropyl
Mefenpyr diethyl
MCPA tioethyl
Bifenox
Fenoxaprop p ethyl
Diclofop methyl
Prosulfocarb
Triallate
Diflufenican
Pendimethalin
Trifluralin
MCPP isoctylic
Bromoxynil octanoate
Ioxynil octanoate
C16H13ClFNO3
C7H3Br2NO
C7H3I2NO
C9H13ClN6
C9H16ClN5
C10H19N5S
C8H14N4OS
C13H10Cl2F3N3
C10H13ClN2O2
C12H18N2O
C10H13ClN2O
C10H11N3OS
C9H10Cl2N2O2
C20H27NO3
C19H19ClFNO3
C16H18Cl2N2O4
C11H13ClO2S
C14H9Cl2NO5
C18H16ClNO5
C16H14Cl2O4
C14H21NOS
C10H16Cl3NOS
C19H11F5N2O2
C13H19N3O4
C13H16F3N3O4
C18H27ClO3
C15H17Br2NO2
C15H17I2NO3
Structural group
Benzoic acid
Aryloxyalkanoic acid
Aryloxyalkanoic acid
Aryloxyalkanoic acid
Aryloxyalkanoic acid
Sulfonylurea
Sulfonylurea
Aryloxyphenoxypropionic
acid
Aryloxyphenoxypropionic
acid
Aryaminopropionic acid
Hydroxybenzonitrile
Hydroxybenzonitrile
Chlorotriazine
Chlorotriazine
methylthiotriazine
Triazinone
Triaolinone
Phenylurea
Phenylurea
Phenylurea
Urea
Phenylurea
Cyclohexadione oxime
Aryaminopropionate
Herbicide safener
Phenoxyacid
Diphenyl ether
Aryloxyphenopropionate
Aryloxyphenopropionate
Thiocarbamate
Thiocarbamate
Carboxamide
Dinitroaniline
Dinitroaniline
Phenoxypropionate
Hydroxybenzonitrile
Hydroxybenzonitrile
353
MW log Kw
221.0 0.55
225.7 -0.83
214.6 0.64
235.1 -0.56
200.6 2.80
369.4 1.63
395.4 0.78
pKa
1.87
2.87
3.11
3.67
3.73
3.58
4.70
333.8
4.60
1.83
326.2
221.0
276.9
370.9
240.7
229.7
241.4
214.3
412.2
228.7
206.3
212.7
221.3
249.1
329.4
363.8
373.2
244.7
342.1
361.8
341.2
251.4
304.7
394.3
281.3
335.3
327.6
403.0
497.1
3.60
2.90
1.04
2.20
2.10
3.21
3.65
1.65
3.36
1.60
2.50
2.50
2.64
3.00
2.10
3.69
3.83
4.05
4.48
4.58
4.60
4.65
4.66
4.90
5.18
5.27
3.70
3.86
4.10
0.63
2.00
4.30
5.40
6.12
Table 1. Chemical characteristics of the herbicides of study: Molecular Formula (MF),
Structural group, Molecular Weight (MW), Octanol-water coefficient (log Kw), and Acid
dissociation constant (pKa 25ºC).
354
Previous Tests
Herbicides, Theory and Applications
% HAc Solvent Water % Rec. %RSD % Rec. %RSD % Rec. Basic- %RSD
or NH3 (ml) (ml) Total (n=5) Acids (n=5) Neutrals (n=5)
Ac
NaOH 0.5N DCM
pH 2
Ac:H2O DCM
47.50
97.55a
0.49 95.09a 0.90
98.72a
0.64
40.0
7.50 81.12d
0.86 49.62c 3.69
96.24ab
1.41
47.50
40.0
7.50 86.55c
1.16 97.34a 1.88
81.37d
0.90
Ac:HAc
Ac:H2O DCM pH2
1.0
47.5
87.37c
2.51 60.81b 4.65
100.12a
1.90
Ac:H2O:HAc DCM
Ac:H2O:HAc DCM
pH2
Ac:NH3
1.0
40.0
7.50 92.70b
0.77 92.42a 0.86
92.84b
0.75
1.0
40.0
7.50 89.72bc 0.61 97.08a 0.57
86.19c
1.21
0.1
47.5
69.77e
0.60 20.79d 8.33
93.29b
1.04
Ac:H2O:NH3 DCM
0.1
40.0
7.50 78.58d
1.09 47.19c 2.13
93.64b
0.85
Table 2. Previous tests recoveries (% Rec.) and relative standard deviations (RSD) at 50 µg
kg-1 spiking level soil samples. Means followed by different letters in the same column are
significantly different at p < 0.01 level according to Tukey honest test for equal number of
replicates. Acetone (Ac), Acetic Acid (HAc), DCM (dichloromethane).
adjustment to pH 2 were developed previously to the dichloromethane partition to study
whether polar herbicides were lost in the aqueous phase with the different solvent
combinations tested.
3.3.2 Optimization of operational variables. Herbicide soil extraction OA
The average recoveries were used as the output variable to optimize. Different OA were
developed for acidic analytes and for basic and neutral herbicides due to dual methyl ester
formation from the TMSH derivatization of acids and their ester forms prior to their GC
analysis, in order to know which form the methyl ester came from.
After carefully studying the results obtained from the previous experiments analyzed by PCA,
the following variable values were selected for the multiresidue extraction OA: solvent type
and ratio, pH (percentage of acetic acid) and shaking time as showed in Table 3. Acetone, ethyl
acetate and acetonitrile were selected as organic solvents because they are among the most
used extractants in neutral and basic multiresidue herbicide procedures in soils. Ammonium
hydroxide was not suitable for acids and showed no effect in basic recoveries, therefore it was
not further used. The same water volume used in the previous experiments was taken for the
OA due to its utility in mixtures with acetic acid and acetone. Due to different solvent
volumes, water percentages changed from 14.3% to 33.3%, acetic acid percentages changed
from 0.3% to 1.7%, and organic solvent percentages changed from 65.3% to 85.3%, covering the
values found in the references (Ahmed & Bertrand, 1989; Crescenzi et al., 1999; Smith &
Milward, 1981; Sutherland et al., 2003; Thorstensen & Christiansen, 2001).
Three levels for each control factor instead of two were chosen to detect any quadratic or
non-linear relation between the factors and the output variable, and to obtain information
over wider ranges of the variables. Four control factors at three levels contain eight degrees
of freedom, and can be fitted to the L9(34) OA. The nine different trials resulting from this
design were duplicated to calculate the residual error, and randomized to minimize the
effects of uncontrolled factors that may introduce a bias on the measurements (Table 6).
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
Notation
S
A
V
T
Factor
solvent + water
% acetic acid
volume (ml)
shaking time (seg.)
Level 1
acetone
0.5
15 (1:1.5)
15
Level 2
ethyl acetate
1
30 (1:2.5)
30
355
Level 3
acetonitrile
2
45 (1:3.5)
60
Table 3. Factors and levels for the herbicide soil extraction L9(34) OA optimization.
A 15 g amount of blank soil spiked at 0.05 mg/l was added 7.5 ml water, shacked the
corresponding time with the appropriate solvent mixture, centrifuged and partitioned with
dichloromethane. A fixed extract volume equivalent to 8 g of soil was evaporated to dryness
in every experiment, dissolved in 1 ml of acetone:1% acetic acid and split in two aliquots.
One of them was directly analyzed by GC-MS and the second one was derivatized before
the acidic analyte analysis with an optimized procedure described afterwards, which
consists on adding 100 µl of TMSH derivatization reagent to 500 µl of final extract directly in
the vial. The effect of the presence of substance/s in the matrix in the chromatographic
determination, was corrected with the use of calibration lines prepared in 900 µl of blank
soil extracts obtained in the same way as samples in each trial, i.e. matrix-matched standard
calibration (Analytical Methods for Pesticide Residues in Foodstuffs, 1996).
3.3.3 Optimization of operational variables. Acidic herbicide analysis OA
Acidic herbicides were divided in two groups, those only present in their acidic form and
those also esterified. These esters were called “original” to differentiate them from the
methyl esters produced after derivatization. Due to dual methyl ester formation, different
OA were developed for the acidic herbicides (named “Acid matrix”) and for the original
esters (named “Ester matrix”) in order to know which form the methyl ester came from and
the way factors affected both esterification and trans-esterification reactions.
The total peak area value, defined as the total sum of peak areas, was used as variable to
optimize because the formation of peaks as high as possible was the goal, therefore no
calibration was necessary. Two output variables were chosen to be optimized due to dual
methyl ester formation and the separately OA for acidic and original ester herbicides.
TMEPA (total methyl ester peak area) was calculated in both matrices to study methyl ester
formation meanwhile, TOEPA (total original ester peak area) was only evaluated in the
“Ester matrix” to know the amount of remaining non-trans-esterified original esters.
Notation
Factor
Level 1
S
solvent
acetone
T
time of incubation (min)
5
C
temperature of incubation (ºC)
20
P
pH
—
Level 2
Level 3
ethyl acetate
acetonitrile
30
45
40
70
1 % acetic acid 1 % phosphoric acid
Table 4. Factors and levels for the acidic herbicide analysis L9(34) OA optimization.
Organic solvents alone, slightly and strongly acidified (added 1% acetic acid and 1%
phosphoric acid, respectively) were selected as reaction media because they are usually
employed for acidic herbicide extraction as already detailed in section 2.3. Subsequently,
final extract derivatization reactions were affected by pH values, which have been reported
to play an important role in the process (Catalina et al., 2000).
356
Herbicides, Theory and Applications
The direct injection of analytes and TMSH mixtures into the hot injection port of the GC has
been reported (Zapf & Stan, 1999). For some weak acids deprotonation and thermally
decomposition of the resulting salts after derivatization have been reported to occur
simultaneously in a heated GC injector (Rompa et al., 2004), meanwhile other authors
recommend pre-heating in an oven in a closed sample vial previously to injection (Halket &
Zaikin, 2004). In order to evaluate the usefulness of pre-heating, standard mixtures were
incubated for 5-30-45 min at three different temperatures: 40 ºC (recommended maximum
heating temperature recommended in the TMSH label), 70 ºC, both maintained in an oven,
and 20 ºC, kept constant in an incubation chamber to simulate the absence of pre-heating.
Consequently, the following variables were selected: temperature and time of incubation,
solvent and pH (composition of reaction mixture) (Table 4).
All experiments were carried out with standards diluted in the tested solvent at a
concentration of 250 μg/l in order to avoid the possibility of finding matrix derivatized
interferences.
Previously, the optimum quantity of TMSH was studied and 100 μl of a solution of TMSH
0.25 M in methanol added to 500 μl standard solutions were shown enough to provide a
high excess of derivatizing reagent and to ensure the complete derivatization of all
compounds present in the sample.
Four control factors at three levels contain eight degrees of freedom, and can be fitted to the
L9(34) OA. The nine different trials resulting from this design were randomized and
duplicated in order to calculate the residual error, so a total number of 18 standard solutions
were derivatized and analysed by GC-MS to determine the corresponding total peak area
values as described above (Table 8).
3.4 Results and discussions
3.4.1 PCA and cluster analysis results. Previous experiments for soil extraction OA
PCA was applied to the average herbicide recovery values of 5 replicates obtained from the
previous experiments (Table 2) in order to provide a global overview and clarify the
relationships among the several variables related to the extraction procedure and their
effects on extractability. Both average recoveries for basic and neutral herbicides with
acetone extraction and for acidic herbicides with alkaline extraction were taken together as
the specific method results.
Statistical analyses were performed using the Minitab v.13.0 program package, with the
Ward linkage method, and using none rotation option.
From the PCA it was found that 93.80% of the variation of the dataset could be explained
using four factors. From the loading on the four factors of the PCA (Table 5) some
conclusions can be drawn. The factor pattern of component 1 showed contributions from a
set of procedures intended for neutral and basic herbicides while those more specific for
acid herbicides formed the component 2. Component 3 and 4 consisted on both the specific
methods and the acetone-water-acetic acid combination for all the herbicides of study.
The PCA showed groupings of the herbicides based on their chemical nature (Fig. 1).
Acidics are grouped separately from the basics and neutrals, which did not show a different
trend between them implying that both types of analytes could be extracted with the same
procedures. However, acids are very different in nature and needed specific extraction
methods. Loadings for both methods with pH adjustment before the partitioning step, lay
near the acidic analytes (dotted lines) while loadings for acetone in combination with water
and ammonium hydroxide (striped lines) are orientated to the basic and neutral grouping.
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
Variables
Specific
Ac:H2O DCM
Ac:H2O DCM pH2
Ac:HAc
Ac:H2O:HAc DCM
Ac:H2O:HAc DCM pH2
Ac:NH3
Ac:H2O:NH3 DCM
%Variance
357
Components
2
3
-37.89
-82.52
1
4
-35.91
-92.51
-90.25
-92.58
-94.85
-88.78
45.80
-50.72
-90.82
51.77
-64.08
26.20
12.40
9.40
Table 5. Loading of variables on the four first components resulting from the PCA of
extraction procedures with different solvent combinations with water and modifiers.
Component loading less than |0.35| are omitted.
3,5
TOTAL (1 + 2 f.)
3
2,5
BASICS &
NEUTRALS
2
1,5
1
0,5
ACIDS
0
-1,5
-1
-0,5
-0,5
0
0,5
1
1,5
2
2,5
3
-1
-1,5
Fig. 1. Score plot for first two factors for all the herbicides. Loadings for the 8 different
methods tested have been represented as lines.
Loadings for the specific methods and the acetone-water-acetic acid combination (black
lines) are directed in the same way, their direction of maximum dispersion laying between
the acid and basic and neutral groupings, what it could indicate the suitability of this
combination of solvents and modifiers as multiresidue methods.
This result was also found in the cluster analysis (Fig. 2), where procedures were grouped in
similarity in this way: neutral and basic herbicides, liquid-liquid partitioning with
dichloromethane at pH 2 for acids and, specific methods and acetone-water-acetic acid for
all of the studied herbicides.
The acetone-water-acetic acid combination was significantly the more efficient in extracting
the whole range of different herbicides apart from the specific methods. The best acidic
average recoveries were found for those combinations using water-acetic acid and those
using a partitioning step with prior pH adjustment to pH 2. However, these both last
methods were exactly the less effective in extracting basic and neutral analytes, although
they were significantly recovered by the rest of the tested extraction methods. Basic recovery
358
Herbicides, Theory and Applications
showed no enhancement with the use of ammonium hydroxide as expected (Smith &
Milward, 1981).
Basic herbicides behaved in the same way as neutral analytes; therefore their recoveries
were averaged together. The significance of differences among the procedure recoveries
were examined by applying analysis of variance (ANOVA). Values represent means for the
average recovery replicates for all the spiked blank soil samples extracted with the different
procedures tested. Means followed by different letters in the same column are significantly
different at p < 0.01 level according to Tukey honest test for equal number of replicates
(Table 2).
Similarity
-31.73
-31,73
12.18
12,18
MULTIRESIDUE
56,09
56.09
BASICS & NEUTRALS
ACIDS
100,00
100.00
Specific
Ac:W-DCM
Specific Ac:HAc:W
HAc:W
W:pH2
-DCM
pH2
Ac:HAc:WHAc:W:pH
DCM pH2
Ac:HAc
HAc
Variables
Ac:NH3
NH3
WAc:W
Ac:NH3:WNH3:W
DCM
Variables
Fig. 2. Cluster variables for the eight extraction solvent combinations tested in the previous
experiments.
The addition of water alone did not significantly recover more residues than the organic
solvent as previously reported (Tadeo et al., 1996). However, the addition of acetic acid to
the water and acetone combination enhanced significantly the acidic recovery with no
detrimental in the basic and neutral extraction, and no pH adjustment prior to the
dichloromethane partition was needed.
After carefully studying the results obtained from the previous experiments by PCA and
Cluster analysis, the following variables were selected for the subsequent OA design:
solvent type and ratio, pH (percentage of acetic acid) and shaking time.
3.4.2 Herbicide soil extraction OA results
Table 6 shows the average recovery data obtained by duplicate for each of the 9
experiments. For the regular analysis, an ANOVA table with pooled errors was calculated
from these experimental data in order to identify individual sources of variation and to
calculate the contribution of each factor to the response variation (Table 7).
ANOVAs of the recovery data obtained for both matrices revealed that factor S, the type of
solvent, contributed by the highest percentage to the variability of the recoveries (49.1% for
acids and 67.2% for basics and neutrals). Maximum recovery for all the analytes was
obtained for level S1, acetone (Fig. 3). In contrast to acetone and acetonitrile, ethyl acetate
was practically immiscible with water which could be easily removed by using only
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
359
anhydrous Na2SO4 as a drying agent. However, the dichloromethane partition was also
carried out in order to develop all experiments in the same way and to benefit from the
polar interference removal provided by the partitioning. In addition to the variability in
recoveries due to the immiscibility of ethyl acetate with water and acetic acid, pesticides
with a thioether group (ureas) have been reported to degrade in the ethyl acetate
(Mastovska & Lehotay, 2004), what explains the lower recoveries observed when using this
solvent. Acidic herbicides were very influenced by the acetic acid percentage (46.1%),
meanwhile the contribution for basic and neutral was low (4.1%). Maximum recovery of the
acid herbicides was obtained for level A3 (2% acetic acid), meanwhile level A1 (0.5% acetic
acid) provided the maximum recovery for basics and neutrals (Fig. 3).
Trial
1
2
3
4
5
6
7
8
9
Control Factors and Levels
S
A
V
T
1
1
1
1
1
2
2
2
1
3
3
3
2
1
2
3
2
2
3
1
2
3
1
2
3
1
3
2
3
2
1
3
3
3
2
1
Acids
1
2
80.13 77.64
93.34 92.12
94.18 94.30
69.67 69.51
74.86 74.35
81.77 82.54
79.73 80.23
88.13 88.21
93.83 92.97
Basics & Neutrals
1
2
100.54
100.84
93.65
94.40
83.12
83.34
76.73
76.59
67.68
68.83
78.15
79.28
84.77
85.91
93.67
93.84
86.46
87.08
Table 6. Experimental average recoveries obtained for each duplicated trial in the herbicide
soil extraction L9(34) OA optimization.
Variation source
Degrees of freedom
Sum of squares
Variance ratio (F)ª
Basics &
Pool
Neutrals
Pooled sum of
squares
Contribution (%)b
Sum of squares
Variance ratio (F)ª
Pool
Acids
Pooled sum of
squares
Contribution (%)b
2
1055.34
923.58
No
A. %
Acetic
acid
2
65.30
57.15
No
1054.20
64.16
439.89
67.23
313.14
87.42
No
4.09
293.88
82.05
No
28.05
10.01
10.88
Yes
Yes
619.11
580.59
60.89
1260.59
49.11
46.06
4.83
100.00
S. Solvent
+ Water
T.
V.
Shaking Residual Total
Volume
time
2
8
441.03
3.99
1567.96
385.96
No
Yes
Yes
9.71
0.62
100.00
1260.59
Yes
Critical variance ratio for a 95% confidence level is 19.00.
bContribution is defined as 100 x (pooled sum of squares/total sum of squares).
a
Table 7. Pooled ANOVA for the regular analysis of the mean average recoveries obtained for
acidic, basic and neutral herbicide soil extraction L9(34) OA optimization.
360
Herbicides, Theory and Applications
Acid Extraction
100
S1
Recovery (%)
90
A3
S3
A2
80
S2
70
V2
V1
T2
V3
T3
T1
A1
60
(a)
Basic+Neutral Extraction
100
S1
S3
Recovery (%)
90
V1
A1
80
70
T2
V2
A2
T1
A3
T3
V3
S2
60
0
1
2
3
4
5
6
7
Factor level
8
9
10
11
12
13
(b)
Fig. 3. Effect of the interaction of control factors on the mean response obtained for acidic
(a), and basic and neutral (b) herbicide soil extraction L9(34) OA optimization.
Solvent volume was significant for basics and neutrals (28.1%) due to their volatility; however,
this factor was pooled for acids. The maximum recovery was obtained for level V1, 15 ml, for
basics and neutrals. An equivalent volume of 8 g of soil was taken to near dryness in all the
tests, therefore more extract volume was concentrated when using 30 and 45 ml of solvent,
leading to a higher loss of more volatile analytes, even after adding 20% of ethylene glycol in
acetone as a holder solution when evaporating. However, solvent volume had not a
statistically significant effect (at 95% confidence level) on the acid recoveries. Acids are not lost
during evaporation in the same way as basics and neutrals, because they are taken to near
dryness in their non-volatile acidic form and converted to the more volatile methyl
esters/ethers just before analysis. As a compromise between both types of analytes, level V2,
30 ml, was selected. The main advantage of acetone over ethyl acetate and acetonitrile was its
greater volatility, having the smallest boling point (56.2ºC for acetone, 77.1ºC for ethyl acetate
and 81.6ºC for acetonitrile) and therefore, minimizing volatile losses due to evaporation.
The time of extraction was negligible indicating that there were no significant differences (at
95% confidence level) among the levels tested, its contribution being pooled for all the
analytes. Level T2, 30 min, was chosen, because it gave a slightly higher response than
15 min.
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
361
The contribution of the residual error to the recovery variability (4.8% for acids and 0.6% for
basics and neutrals) indicates the experimental design took into account all the variables
affecting the response, the levels tested were fit for the purpose and the variance of the
experimental data was explained by the effect of factors and interactions
Fig. 3 shows the effects of control factor levels on the output variable. Factor T variation
(shaking time) had a slight influence on recoveries, and a change in their level produced
very small variation in the multiresidue herbicide extraction. However, the significant
influence of the solvent type (S) for all analytes, the acetic acid percentage (A) for acids and
the solvent volume (V) for basics and neutrals can be observed by the statistically different
recoveries obtained when changing these variables.
3.4.3 Acidic herbicide analysis OA results
Table 8 shows the output variables, TMEPA and TOEPA, obtained by duplicate for each of
the 9 experiments. For the regular analysis, an ANOVA table with pooled errors was
calculated from these experimental data in order to identify individual sources of variation
and to calculate the contribution of each factor to the response variation (Table 9).
ANOVAs of the TMEPA and TOEPA for both matrices revealed that factor P (pH)
contributed by the highest percentage to the variability of the signal (93.78 % for methyl
ester formation, 78.56 % for methyl ester conversion and 97.04 % for original ester
permanence).
Although very small, contribution made by the other variables for methyl ester transesterification was the only one that could not be neglected. In both the cases of methyl
ester formation and permanence of original esters, the rest of factors were negligible
indicating that there were no significant differences (at 95% confidence level) among the
levels tested.
The pH of the solution (P) during both esterification and trans-esterification processes has
been shown to play an important role. The presence of the anionic form of the acids was
essential for the formation of the trimethylsulfonium salts as well as for the previous
saponification in trans-esterification. Both esterification and trans-esterification reactions
were enhanced in a strong basic environment provided by the addition of TMSH that
yielded a solution pH value of 9. However, the presence of 1 % acids neutralized this strong
Control Factors and Levels
Trial
1
2
3
4
5
6
7
8
9
S
1
1
1
2
2
2
3
3
3
T
1
2
3
1
2
3
1
2
3
C
1
2
3
2
3
1
3
1
2
P
1
2
3
3
1
2
2
3
1
TMEPA (x 105)
Acids
Esters
1
2
1
2
69.3
76.0
95.6
140.1
106.8 115.5
37.1
32.6
13.8
12.4
9.0
7.4
11.4
12.3
9.3
7.4
89.3
83.3
101.0
92.2
91.2
117.6
52.2
45.6
108.9 105.4
42.7
48.9
14.3
13.0
5.9
6.0
110.6 104.8 208.1
207.0
TOEPA (x 105)
Esters
1
2
63.7
67.5
419.7
412.6
503.4
450.2
480.8
448.1
79.4
70.9
491.1
494.3
543.5
480.9
510.8
543.6
66.5
68.7
Table 8. Experimental average recoveries obtained for each duplicated trial in the acidic
herbicide analysis L9(34) OA optimization.
362
Herbicides, Theory and Applications
S.
T. Time of C. Tª of
P. pH Residual Total
Solvent incubation incubation
Degrees of freedom
2
2
2
2
8
Sum of squares (x 104)
3.81
3.77
5.41
301.80
319.30
Variance ratio (F)ª
129.20
TMEPA
(Acid
Pool
Yes
Yes
Yes
No
Yes
Matrix) Pooled sum of squares
294.40 19.90 319.30
Contribution (%)b
93.78
6.22
100.00
Sum of squares (x 104) 47.94
56.20
36.40
566.51
718.05
TMEPA
Variance ratio (F)ª
19.61
22.99
14.89
231.75
(Ester
Pool
No
No
No
No
Yes
Matrix) Pooled sum of squares 45.50
53.75
33.95
564.07 20.78 718.05
6.34
7.49
4.73
78.56
2.89
100.00
Contribution (%)b
Sum of squares (x 104) 69.00
1.58
70.98
6778.50
6960.01
Variance ratio (F)ª
280.03
TOEPA
(Ester
Pool
Yes
Yes
Yes
No
Yes
Matrix) Pooled sum of squares
6754.25 205.75
97.04
2.96
100.00
Contribution (%)b
Variation source
Table 9. Pooled ANOVA for the regular analysis of total methyl ester peak area (TMEPA) in
the Acid Matrix and TMEPA and total original ester peak area (TOEPA) in the Ester Matrix
obtained for acidic herbicide analysis L9(34) OA optimization.
5000
TOEPA esters (■)
4500
4000
Abundance
3500
3000
2500
2000
TMEPA esters (▲)
1500
TMEPA acids (□)
1000
500
0
0
F. Levels
S11
S22
S33
T41
T5 2
6
T
7
C
3
Factor
level 1
8
C2
9
C3
10
P1
11
P2
P123
13
Fig. 4. Comparison of the effect of the interaction of control factors (f. levels) on the mean
response for Original remaining Esters (■) and Methyl Esters in the Acid matrix (□) and in
the Ester matrix (▲) obtained for acidic herbicide analysis L9(34) OA optimization.
Chemometric Strategies for the Extraction and Analysis Optimization of
Herbicide Residues in Soil Samples
363
basic TMSH media, and as a result, anionic forms of acids were not promoted and
methylation yields decreased. A solution containing 1% of acetic acid had a pH value of 6
after adding TMSH meanwhile the strongest phosphoric acid decreased TMSH solution pH
value till 2. Data in Table 8 clearly showed the effect of pH. All experiments developed at
the same pH conditions had near TMEPA and TOEPA values regardless to the solvent,
incubation time and temperature used.
Maximum methylation of acidic herbicides was obtained for P2, (pH) 1 % acetic acid (pH
value of 6). The other three factors had not a statistically significant effect (at 95% confidence
level) on the signal ratio; however, level S3 (solvent), acetonitrile; T3 (incubation time), 45
min; and C2 (incubation temperature), 40ºC, gave a slightly higher ratio. A slightly acidic
environment gave the highest methyl ester formation but results were very close to those
obtained in a basic medium. The very low methyl ester peak areas obtained with 1% of
phosphoric acid, suggest that TMSH reaction was more influenced by very acidic pH values
and the reaction worked properly from a neutral to a basic pH.
The contribution of the residual error to the TMEPA and TOEPA variability (6.22 %, 2.89 %
and 2.96 % respectively) indicates the goodness of the experimental design used.
Fig. 4 shows the effects of control factor levels on the output variable. It can be observed that
control factors different than pH (P) had a slight influence on the TMEPA and TOEPA
value, and a change in their level produced very small variation in the conversion or
permanence efficiency.
Fig. 4 also shows the effect of control factors on trans-esterification. TMEPA esters and
TOEPA esters representations were obviously found to be opposite, the highest the methyl
ester conversion, the smallest the permanence of remaining original esters. Both
esterification and trans-esterification methyl ester formation were affected in the same way
by pH being very diminished at strongly acidic pH values, although it seemed that transesterification needed a stronger basic media and did not work properly at a pH value of 6
(1% acetic acid) as esterification.
5. Conclusions
Herbicides play a very important role in agriculture but the toxicity and widespread of their
residues pose a potential risk for the environment. In addition, their determination in soils is
of primary importance because their dispersion in the environment depends on their
behaviour in soils. The integration between analytical procedures and chemometric
strategies has proved very valuable in the always difficult herbicide multiresidue extraction
and analysis optimization development. The optimized methods have been applied to
environment soils where herbicide residue data interpretation is of great interest.
The statistical analysis of the OA data revealed that all the factors were significant being the
most important, the type and ratio of solvent for basic and neutral herbicides and the acetic
acid percentage for acid herbicides. The final optimized method consisted of shaking
previously wet soil samples for 30 min with 30 ml of acetone acidified with 1% acetic acid.
As a result, any organic solvent acidified with 1 % acetic acid was suitable for methylation
with TMSH and as, pre-heating was shown not to improve derivatization yield, it was just
necessary to add the derivatizing reagent to the sample vial and methylation was
completely carried on in the injector port of the GC system.
6. Acknowledgement
This study was founded by JCyL project (VA 023A10-2).
364
Herbicides, Theory and Applications
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18
Membrane Treatment of Potable
Water for Pesticides Removal
Anastasios Karabelas and Konstantinos Plakas
Laboratory of Natural Resources and Renewable Energies Utilization,
Chemical Process Engineering Research Institute,
Centre for Research and Technology – Hellas, Thessaloniki
Greece
1. Introduction
Over the last 50 years, plant protection products (PPPs), which are commonly referred to as
“pesticides” (a term used henceforth in this chapter), are indispensable agents for the
sustainable production of high quality food and fibres. The significant role of pesticides in
controlling weeds (herbicides), insects (insecticides) and plant diseases that interfere with
the growth, harvest, and marketability of crops has rendered the pesticide industry a
significant economic player in the world market. At the same time, the widespread use of
pesticides for agricultural and non-agricultural purposes has resulted in the presence of
their residues in various environmental compartments. Traces of these products are
frequently detected in surface water and in some cases in groundwater, which is the major
source of drinking water around the world (Novotny, 1999; Martins et al., 1999; Loos et al.,
2009). The frequent detection of many types of pesticide residues (including herbicides) in
natural waters is of great concern to the public, to authorities and to all those involved in
potable water production, wastewater treatment, and water reuse applications, due to
potentially adverse health effects associated with these compounds even at very small
concentrations (pg/L to ng/L). Specifically, potential health risks identified in toxicological
and epidemiological studies include cancer, genetic malformations, neuro-developmental
disorders and damage of the immune system (Skinner et al., 1997; Sanborn et al., 2004;
McKinlay et al., 2008).
Regarding the potential for exposure of humans to pesticides residues, a strict regulatory
framework is in force today. To ensure a high level of protection of both human and animal
health and of the environment, the European Union (EU) developed and implemented a
Thematic Strategy for Pesticides lately. The strategy is comprised of four elements:
•
the Regulation (EC) 1107/2009, concerning the placing of plant protection products on
the market (repealing Council Directives 79/117/EEC and 91/414/EEC),
•
the Directive 2009/128/EC, establishing a framework for Community action to achieve
the sustainable use of pesticides,
•
the Regulation (EC) 1185/2009, concerning statistics on pesticides, and
•
the Directive 2009/127/EC, regarding the equipment for pesticide application.
370
Herbicides, Theory and Applications
Moreover, EU implemented the Regulation (EC) No 396/2005 on maximum residue levels
of pesticides in or on food and feed of plant and animal origin, in order to control the end of
the life cycle of such products. Regarding the quality of water intended for human
consumption, the Drinking Water Directive (98/83/EC) sets a limit of 0.1 μg/L for a single
active ingredient of pesticides, and 0.5 μg/L for the sum of all individual active ingredients
detected and quantified through monitoring, regardless of hazard or risk. In contrast, the
residue limits and guideline levels set by the World Health Organisation (WHO) or the U.S.
Environmental Protection Agency (USEPA) depend on the toxicity of the active substances
and are determined using a risk-based assessment. The broad spectrum of legislation makes
clear that pesticides are amongst the most thoroughly controlled substances in use today.
In parallel with appropriate regulatory controls and best pesticide-use practices, there is an
urgent need for determination and removal of pesticides from potable water sources. These
are in themselves difficult tasks, which are further complicated by the fact that a very large
number of these synthetic chemical compounds are spread in the environment for crop
protection. Conventional methods for potable water treatment, still widely employed,
comprising particle coagulation–flocculation, sedimentation and dual media filtration, are
ineffective for removing pesticide residues. The addition of more advanced final treatment
steps (usually involving oxidation by H2O2 or O3, and granular activated carbon – GAC –
filtration) is generally considered to be effective, although significant problems still arise,
mainly related to saturation of activated carbon, and to toxic chemical by-products, which
may develop in the GAC filters under some conditions.
In view of the problems inherent in presently used processes, for removing various
pesticides as well as the multitude of other synthetic organic micropollutants frequently
encountered in drinking water sources (e.g. persistent organic pollutants-POPs,
pharmaceutically active compounds-PhACs, endocrine disrupters-EDCs, etc), significant
research effort has been invested to develop effective treatment methods, based on pressuredriven membrane processes. The growing interest in such processes is justified on account
of the high and stable water quality they can achieve, although their cost effectiveness needs
improvement. Therefore, influenced also by social and legislative pressure for more
stringent potable water quality regulations, membrane processes, such as nanofiltration or
low pressure reverse osmosis, are under development for broad applicability. To underpin
these efforts, special attention is required for clarifying the attributes and limitations of
membrane processes for pesticides removal as well as for prioritizing related R&D.
In view of the above considerations, the scope of this chapter is to review our current
understanding and knowledge, gained from laboratory research, pilot and industrial-scale
activity, regarding pesticides removal by membrane based processes. A fairly thorough
discussion of pesticides retention by membranes will be provided, highlighting the
prevailing mechanisms and the main factors involved. Particular attention will be paid to
the role played by the dissolved organic matter (DOM), commonly present in the raw feedwater. The relevant physico-chemical properties of typical herbicides, of DOM, and of the
active membrane surface will be assessed in an effort to clarify the significant membrane –
organic species interactions. For a better understanding of the terminology used for
membranes and membrane processes, some fundamental relations describing the function
of a membrane and the basic principles of membrane processes will be briefly reviewed.
Finally, future R&D needs for trace organic contaminants removal from potable water will
be discussed, both at the scientific and the technological level.
Membrane Treatment of Potable Water for Pesticides Removal
371
2. Membrane technology – A short review of potable water treatment
2.1 Membrane processes in water treatment
Since the early 1990’s membrane filtration has gained momentum and is now considered
mainstream technology for removing a broad spectrum of contaminants from water and
effluents. Advances in materials science and membrane manufacturing technology have
shaped this trend, together with the increased regulatory pressures as well as an increased
demand for drinking water originating from water sources of inferior quality (surface water,
other). Moreover, membrane technologies have emerged as a very attractive option, in the
production of clean and safe drinking water, due to their significant advantages over the
conventional water treatment methods. Specifically:
•
membrane treatment takes place at ambient temperature without phase change; this
explains, for example, the success of reverse osmosis for water desalination;
•
membrane separations occur without accumulation of substances inside the
membranes; thus, membranes are well adapted to be ran continuously without a
regeneration cycle as, for example, in ion-exchange resin operations;
•
membrane separations do not involve addition of chemical additives; this affords
advantages regarding the quality of treated water and leads to reduced environmental
load;
•
most membrane systems are compact (with reduced plant footprint), modular in
nature, allowing retrofitting of existing processes;
•
membrane processes are often technically simpler and more energy efficient than
conventional separation techniques and are equally well suited for large-scale
continuous operations as for batch-wise treatment of very small quantities,
•
advances in polymer chemistry have led to the development of low pressure
membranes, less prone to fouling, which are associated with reduced energy
requirements, reduced chemical cleaning frequency, longer membrane life, and thereof,
reduced operating costs.
A disadvantage of membrane processes is the usually required costly feed-water pretreatment to avoid membrane fouling caused by various species. Furthermore, membranes
are structurally not very robust and can be damaged by deviations from their normal
operating conditions. However, significant progress has been made in recent years,
especially in seawater reverse osmosis desalination, in developing membranes which have
not only significantly better overall performance but also exhibit better chemical and
thermal stability and are less sensitive to operating upsets.
The technically and commercially established membrane processes, for water treatment, are
reverse osmosis (RO), nanofiltration (NF), ultrafiltration (UF) and microfiltration (MF).
Although there is no sharp distinction, these processes are defined mainly according to the
pore size of the respective membranes, and to a lesser extent by the level of driving force for
permeation, i.e. the pressure difference across the membrane (Table 1). With decreasing
porosity (i.e. from MF to UF and NF to RO) the hydrodynamic resistance of the respective
membranes increases and consequently higher pressures are applied to obtain required
water fluxes. MF and UF systems generally operate at a pressure of ~25 to ~150 psi, while
some operate under vacuum at less than 12 psi. These systems can be operated in dead-end
or cross-flow mode. The dead-end mode resembles conventional sand filter operation,
where the feed solution flows perpendicular to the membrane surface. Unlike crossflow
filtration, there is normally no reject stream, only a feed and a permeate stream, as shown in
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Herbicides, Theory and Applications
Fig. 1. The crossflow system, which has gained wider acceptance in recent years, operates in
a continuous manner where the feed solution flows tangentially across the membrane
surface, thus generating a continuous exiting stream (defined as “retentate” or
“concentrate”) capable of partly sweeping the rejected substances, away from the membrane
surface (Fig. 1). NF and RO operate almost exclusively in the crossflow mode and the
operating pressure depends on the type of membrane used and the required water quality
characteristics. Typical operating pressure for a NF system ranges from 100 to 200 psi, while
for RO the pressure may vary between 100 and 400 psi, depending on ionic strength. For
seawater desalination, RO plants operate at even higher pressures, between 800 to 1000psi.
Membrane process
Typical pore size
(nm)
Pressure
(bar)
Permeability
(Lm-2h-1bar-1)
Microfiltration (MF)
50-1000
0.1-2.0
> 50
Ultrafiltration (UF)
10-50
1.0-5.0
10 – 50
Nanofiltration (NF)
<2
5.0-20
1.4 – 12
Reverse Osmosis (RO)
<1
10-100
0.05 – 1.4
Table 1. Comparison of pressure-driven membrane processes (Mulder, 1998; Singh, 2006)
Crossflow filtration
Dead-end filtration
Feed water
Permeate
Retentate
Feed water
Permeate
Permeate
Fig. 1. Dead-end versus crossflow filtration
The porous MF and UF membranes are characterized by the molecular weight cut-off
(MWCO), which is expressed in Dalton indicating the molecular weight of a hypothetical
non-charged solute that is 90% rejected (Mulder, 1996). NF can be characterized either by
MWCO or ionic retention of salts such as NaCl or CaCl2; RO membranes being dense are
characterized by salt retention, although some researchers have modeled molecular
retention to determine a MWCO (Kimura et al., 2004). The percentage retention (R%) of
species in solution is defined as:
⎛ Cp ⎞
R(%) = ⎜1 −
⎟ x100
⎝ Cf ⎠
(1)
where Cp and Cf are the permeate and feed concentration, respectively. Other common
performance parameters are the permeate recovery and flux, given as follows:
373
Membrane Treatment of Potable Water for Pesticides Removal
Recovery =
Qp
(2)
Qf
Jw = Lp (ΔΡ-Δπ)
(3)
Recovery is defined as the ratio of permeate production rate Qp over the feed flow rate Qf. Jw
is the permeate water flux, LP the membrane permeability, ΔP the applied transmembrane
pressure and Δπ the osmotic pressure difference between feed and permeate.
From Table 1 it is evident that the selection of a particular membrane type mainly depends
on the contaminant size to be removed. MF is usually applied to separation from an
aqueous solution of particles of diameter greater than 100nm (usually 0.05-1μm), while UF
to separation of macromolecules (of size down to 30nm), with molecular weights varying
from about 104 to more than 106. Examples of species that can be removed with MF and UF
processes include assorted colloids (frequently referred to as “turbidity”), iron and
manganese precipitates, coagulated organic matter, and pathogens such as Giardia and
Cryptosporidium cysts. UF membranes are also capable of removing viruses. RO membranes
are used to remove from the feed stream even smaller species, of diameter as small as
0.1nm, such as hydrated ions and low molecular weight solutes. On the other hand, NF, also
called “loose RO”, lies between RO and UF in terms of selectivity of the membrane as it is
designed for removal of multivalent ions (typically calcium and magnesium) in water
softening operations and for organic species control. The feed water to NF plants can be any
non-brackish, ground or surface water. For treatment of brackish water, nanofiltration is
usually not the most suitable process, since Cl- and Na+ are among the ions with the lowest
retention rates. A simplified decision tree for selecting the suitable membrane process for
treatment of potable water is shown in Fig. 2.
Reduction of turbidity alone?
YES
UF/MF
NO
Can dissolved contaminants
be coagulated or adsorbed?
YES
UF/MF
NO
Removal of dissolved
organic matter?
YES
UF/NF
NO
Are inorganic ions to be
removed monovalent?
YES
RO
NO
NF
Fig. 2. Simplified decision tree for selecting a membrane process for treatment of potable
water.
Taking into consideration that the majority of the compounds categorized as pesticides have
molecular weights (MW) greater than 200 Da and a size in the range of ions (close to 1 nm),
reverse osmosis and nanofiltration are promising options for their removal from
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Herbicides, Theory and Applications
contaminated water sources. However, RO is generally more expensive, regarding both
investment and operating costs, due to the required greater pressures (lower permeability
membrane). For these reasons scientists and all those involved in potable water production
have turned their attention to the application of NF and ultra low-pressure RO membranes
(ULPRO). Related R&D has resulted in the development of an advanced type of NF/ULPRO
membranes, the so called thin film composite membranes (TFC or TFM) which have been
successfully applied for the removal of pesticides in past 10-20 years (Hofman et al., 1997;
Wittmann et al., 1998; Bonné et al., 2000; Cyna et al., 2002).
TFC are multi-layer membranes comprising a very thin and dense active layer (of crosslinked aromatic polyamide) which is formed in situ on a porous support layer, usually made
of polysulfone (Fig.3). Their broad applicability is attributed to their unique characteristics
such as the high salt retention capacity, the good chemical stability and mechanical integrity
as well as to the fact that they can achieve high specific water fluxes at lower operating
pressures (AWWA, 1996; Filteau & Moss, 1997). A list of the TFC membranes studied for the
removal of pesticides from potable water is given in the Appendix, together with their
retention performance and their characteristic surface properties (MWCO).
Non-woven
material
Active layer
(polyamide)
Support layer
(polysulfone)
Fig. 3. Schematic representation of a thin film composite (TFC) membrane (Dow, 2010)
2.2 Examples of water treatment plants using NF/ULPRO membranes
A list of significant water treatment plants using nanofiltration or ultra-low pressure RO
membranes is shown in Table 2. An outstanding example of nanofiltration for the removal
of pesticides and other organic residues, for the production of drinking water, is the Mérysur-Oise plant in the northern part of Paris, in France. The Méry-sur-Oise plant has been
successfully producing water from the river Oise, using NF technology, since 1999. Its
performance indicators are very satisfactory, especially with regard to the two main
objectives; i.e., elimination of organic matter and of pesticides, which renders nanofiltration
a very successful technology (Ventresque et al., 2000).
The design of a membrane water treatment plant may vary depending on the feed water
conditions, the required final water quality, the water recovery ratio, the membrane module
configuration (spiral wound, hollow fiber, tubular) and the material of membrane active
surface layer (asymmetric cellulosic or non-cellulosic membranes, thin film ether, or amidic
composite membranes). In general, a conventional NF/RO treatment system includes
375
Membrane Treatment of Potable Water for Pesticides Removal
Location
Capacity (m3/d)
Boca Raton, Florida, US
152,000
Méry-sur-Oise, Paris,
France
140,000
Heemskerk, Holland
~57,000
Bajo Almanzora,
Andalusia, Spain
Debden Road, Saffron
Walden, England
30,000
3,000
Application
Groundwater
softening
Pesticide removal for
drinking water supply
Surface water
treatment for drinking
water supply
Groundwater
softening
Pesticide removal for
drinking water supply
Reference
Suratt et al.,
2000
Cyna et al.,
2002
Kamp et al.,
2000
Redondo &
Lanari, 1997
Wittmann et al.,
1998
Table 2. Case studies of water treatment plants using NF/ULPRO membranes
pre-treatment, membrane filtration and post-treatment, as schematically shown in Fig. 4.
Pretreatment of the feed is required to protect the membranes and to improve their
performance, while post-treatment includes several unit operations common to drinking
water treatment such as aeration, disinfection, and corrosion control. The pre-treatment
should be carefully designed, mainly to cope with the fouling propensity of the feed water
and aims to (Redondo & Lomax, 2001):
•
reduce suspended solids and minimise the effect of colloids
•
reduce the microbiological fouling potential of the feed water
•
condition the feed by adding chemicals (antiscalant, pH adjustment)
•
remove oxidising compounds in the feed if required (to protect the membranes)
Pretreatment
Membrane filtration
Posttreatment
H2S, CO2
Raw Water
Permeate
Acid/Antiscalant
Cartridge/Sand
addition
filtration (or MF/UF)
NF/RO
membrane array
Aeration
Storage &
Distribution
Disinfection
Retentate
Fig. 4. A typical NF/RO membrane water treatment process.
In the case of the Méry-sur-Oise plant, the full scale facility consists of the following
treatment steps (Ventresque et al., 2000):
•
ACTIFLO® clarifiers (coagulation using polyaluminium chloride and an anionic
polyelectrolyte at pH 6.9, flocculation)
•
Ozonation
•
Dual-media filtration (two-layer sand and anthracite bed, preceded by a second
injection of coagulant)
•
Cartridge filtration (6 μm micro-filters, back-washable and chemically cleanable)
376
Herbicides, Theory and Applications
•
Nanofiltration
•
CO2 stripping (degassing towers)
•
UV disinfection
Pretreatment plays a critical role in the performance, life expectancy and the overall
operating costs of NF/RO systems. R&D in this direction includes studies on new
technologies and/or new design concepts on feed pretreatment, membrane washing and
chemical cleaning (to restore membrane fluxes) and extensive studies on membrane
performance improvement, focused on development of low fouling membranes. More
information on these matters can be found in various publications, in scientific articles as
well as in technical reports issued by several membrane manufacturers (Tanninen et al.,
2005; Al-Amoudi & Lovitt, 2007; Dow, 2010). In the following, for the sake of completion
and to facilitate the discussion in sub-section 3.5, a brief introduction to fouling is presented
and of the related phenomena occurring at the membrane surface.
2.3 Membrane fouling
Membrane performance can be negatively affected by a number of species whose
concentration and/or presence in the feed water must be controlled. As indicated in Fig. 5,
these species are divided in two categories: substances capable of damaging the membranes
and species with potential for membrane fouling or scaling. The discussion is concentrated
on fouling, which is the major problem faced in any membrane separation. Membrane
fouling, if not controlled, is detrimental to the overall process efficiency because of the
increased energy requirements, reduced plant productivity and increased cost of chemicals
due to cleaning as well as the shorter lifetime of the membranes, which also lead to an
increase of the total production cost. Moreover, membrane fouling may alter the surface
characteristics of NF/RO membranes, which in turn could potentially influence the removal
of undesirable dissolved species, including pesticides.
Harmful Substances
Damaging
Acids, Bases, (pH)
Free Chlorine
Bacteria
Free Oxygen
Blocking
Fouling
(Fe2+,
Scaling
Mn2+)
Metal Oxides,
Colloids (organic, inorganic)
Biological Substances
(bacteria, microorganisms)
Calcium Sulfate
Calcium Carbonate
Calcium Fluoride
Barium Sulfate
Silica
Fig. 5. Substances potentially harmful to membranes (Rautenbach & Albrecht, 1989)
The main fouling categories are organic, inorganic, particulate and biological fouling. Metal
complexes and silica are also important. In operating plants all types of fouling may occur
(Yiantsios et al., 2005), depending on the feed water composition. Research on
377
Membrane Treatment of Potable Water for Pesticides Removal
understanding fouling and applying appropriate control strategies are important
endeavours aiming at improvement of NF/RO membrane processes. Among the different
kinds of fouling, emphasis is given here to fouling by organic matter, naturally occurring in
source waters in concentrations ranging from 2 to 40mgC/L, which are roughly 10,000 times
greater than pesticide concentrations encountered in surface waters.
Extensive research on fouling of NF membranes by natural organic matter (NOM) has
shown that it can be influenced by membrane characteristics, including surface structure as
well as surface physico-chemical properties, composition of feed solution including ionic
strength, pH and concentration of divalent ions, NOM properties, including molecular
weight and polarity, as well as hydrodynamic and operating conditions including permeate
flux, pressure, concentration polarization, and the mass transfer properties of the fluid
boundary layer (Al-Amoudi, 2010). The effect of the aforementioned factors on NOM
fouling is summarized in Table 3. The significant role of feed-water chemical composition
(ionic strength, pH, divalent cations) on NOM fouling, as well as the fouling mechanisms
involved in the case of humic substances (Hong & Elimelech, 1997) are illustrated in Fig. 6.
Value
NOM fouling rate
Cause
Ionic strength
concentration
Increased
Increased
Electrostatic repulsion
pH
High pH
Low pH
Increased
Increased
Hydrophobic forces
Electrostatic repulsion
Divalent cations
Presence
Increased
Electrostatic repulsion and
bridging between NOM
and membrane surface
NOM fraction
Hydrophobic
Hydrophilic
Increased
Decreased
Hydrophobicity
Molecule or
membrane charge
High charge
Increase
Electrostatic repulsion
High
Increased
Surface
morphology
Higher
Increased
“Valley” blocking
Permeate flux
(high recovery)
Higher
Increased
Hydrophobicity
Pressure
Higher
Increased
Compaction
Concentration
polarization
Table 3. Factors affecting natural organic matter fouling of NF membrane (Al-Amoudi, 2010)
The term concentration polarization (CP) mentioned earlier describes the process of
accumulation of retained solutes in the membrane boundary layer where their concentration
will gradually increase. Such a concentration build-up will generate a diffusive flow back to
the bulk of the feed, but after a certain period of time steady-state conditions will be
established. The consequences of CP can be summarised as follows (Mulder, 1996):
•
Flux will be reduced.
•
Retention of low molecular weight solutes, such as salts, can be reduced.
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Herbicides, Theory and Applications
•
Retention can be higher: this is especially true in the case of mixtures of macromolecular
solutes where CP can have a strong influence on the selectivity. The higher molecular
weight solutes that are retained completely form a kind of second or dynamic
membrane. This may result in a higher retention of the lower molecular weight solutes.
Concentration polarization is considered to be reversible and can be controlled in a
membrane module by means of velocity adjustment, pulsation, ultrasound, or an electric
field. Most membrane suppliers recommend a minimum feed flow rate (i.e. minimum
superficial velocity at the retentate side) and a maximum allowable water recovery rate to
minimize the effects of CP. Membrane fouling, on the other hand, is more complicated in
that it is considered as a group of physical, chemical, and biological effects, which lead to
irreversible loss of membrane permeability (Sablani et al., 2001).
Chemical Conditions
ΝΟΜ in solution
ΝΟΜ on membrane surface
Compact, dense, thick fouling layer
High ionic strength,
low pH, or
presence of divalent cations
Coiled, compact configuration
Sever permeate flux decline
Loose, sparse, thin fouling layer
Low ionic strength,
high pH, and
absence of divalent cations
Stretched, linear configuration
Small permeate flux decline
Fig. 6. Schematic description of the effect of solution chemistry on the conformation of NOM
macromolecules in the solution and on the membrane surface and the resulting effect on
membrane permeate flux. The NOM fouling described in the diagram is applicable for
permeation rates above the critical flux. The difference, between the two chemical conditions
shown, becomes less clear at very high permeate flux. At low permeate flux (below the
critical flux), no significant fouling is observed for both conditions (adapted from Hong &
Elimelech, 1997)
2.4 Retention mechanisms in NF/RO processes
There is a great deal of published work on the basic retention mechanisms and the various
applications of NF/RO processes (Mulder, 1996; Scott, 1998; Nghiem & Schäfer, 2005). In
general, the separation process involves several mechanisms such as size exclusion or
charge repulsion. Moreover, a sorption-diffusion mechanism can also contribute to the
separation process, attributed to hydrophobic interactions or hydrogen bonding between
the contaminants and the membrane surfaces (solute-membrane affinity) (Nghiem &
Schäfer, 2005). Depending on the physicochemical characteristics of the contaminant and the
membrane, separation can be achieved by one or several mechanisms. The word
‘physicochemical’ implies that separation can be attributed either to physical selectivity
Membrane Treatment of Potable Water for Pesticides Removal
379
(charge repulsion, size exclusion or steric hindrance) or to chemical selectivity (solvation
energy, hydrophobic interaction or hydrogen bonding). Consequently, the separation
process can be strongly influenced by the physicochemical interaction between the solute
and the membrane polymer and/or with water (Nghiem & Schäfer, 2005). In the case of
trace organic contaminants, like pesticides, such interactions are complicated and their
transport across the membrane is still a topic of extensive research.
For non-charged solutes, the distribution at the boundary layer/membrane interface is
considered to be determined by a steric exclusion mechanism. Steric exclusion is not typical
for nanofiltration but applies to ultrafiltration and microfiltration, where solutes larger than
the pore size of the membranes are retained. This is comparable to a sieving phenomenon
except that in membrane filtration, neither pores nor solutes have a uniform size. For
instance, dissolved organic species may change their configuration due to changes in
solution chemistry or interactions with other molecules or surfaces. For example, the
combined nanofiltration of triazine herbicides and naturally occurring humic substances
facilitates the formation of complexes with triazines resulting in an increased steric
congestion or reduction of the diffusivity of the NOM–triazine pseudo-complex (Plakas &
Karabelas, 2009).
For charged solutes, an additional mechanism can be recognised, the Donnan exclusion, which
has a pronounced effect on the separation by NF. Due to the slightly charged membrane
surface, solutes with an opposite charge compared to the membrane (counter-ions) are
attracted, while solutes with a similar charge (co-ions) are repelled. At the membrane surface,
a distribution of co- and counter-ions will occur, thereby influencing separation. The relative
importance of Donnan exclusion in solute retention by NF membranes is still debated in the
scientific community since steric hindrance appears to be capable of significantly influencing
such retention. For instance, Van der Bruggen et al., (1999) suggest that the charge effect can be
important when the molecules are much smaller than the pores; when the molecules have
approximately the same size as the pores, charge effects can exert only a minor influence, as
the molecules are mainly retained by a sieving effect.
In the case of polar organic species, separation by NF/RO membranes is even more
complicated as the process is not only affected by charge repulsion and size exclusion but it
is also influenced by polar interactions between solutes and the membrane polymeric
suface. Research in this direction has led to the conclusion that retention may be negatively
affected by the polarity of a molecule (Van der Bruggen et al., 1999; Agenson et al., 2003;
Kimura et al., 2003a). A possible explanation for this behaviour is related to electrostatic
interactions; specifically, the dipole can be directed towards the charged membrane in such
a way that the side of the dipole with the opposite charge is closer to the membrane (Van
der Bruggen et al., 1999). The dipole is thus directed towards the pore and enters more
easily into the membrane structure; moreover, once the molecule is in an open (straightthrough) pore, it will follow the permeate. The polarity effect is expected to be the same for
positively and negatively charged membranes, since the only change occurring is the
direction of the dipole (Van der Bruggen et al., 1999).
Adsorption of organic species to membrane materials is an important aspect of trace
organic matter removal using NF/RO. Organic contaminants, which can adsorb onto the
membrane, are usually hydrophobic (high logKow) or present high hydrogen bonding
capacity. In addition, experimental results have shown that the adsorption of hydrophobic
compounds is significant for neutral compounds and for ionizable compounds when
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Herbicides, Theory and Applications
electrostatically neutral (Kimura et al., 2003b). Also, operating conditions such as the
permeate flux can have a significant effect on the degree of compound adsorption (Kimura
et al., 2003b). Although adsorption contributes to an initial retention, an increased surface
concentration as a result of adsorption, favouring species diffusion through the membrane,
can reduce process effectiveness to some extent (Nghiem & Schäfer, 2005). Moreover,
adsorption, resulting in the accumulation of organic molecules on the membrane surfaces,
can cause several problems leading to overall performance deterioration.
3. Factors affecting the removal of pesticides by NF/RO treatment
3.1 Introduction
The idea of applying membrane processes for the removal of pesticide residues from potable
water is not new. It originates back in the late ‘60s when Hindin et al. (1969) studied the
removal of a few chlorinated pesticides, including DDT, TDIE, BHC, and lindane, by reverse
osmosis using an asymmetric cellulose acetate (CA) membrane. The initial results of their
study have shown that RO filtration, employing a CA membrane, is a promising treatment
process for producing water low in organic substances, including pesticides. The excellent
performance of RO membranes in removing a variety of pesticides, including chlorinated
hydrocarbons, organophosphorous, and miscellaneous pesticides, was also shown in an
early study by Chian et al. (1975) in which a number of non-cellulosic membranes, such as
aromatic polyamide and cross-linked polyethylenimine membranes exhibited far better
performance in pesticides removal and resistance to pH than conventional CA membranes.
Because of this advances in membrane technology, RO has been gradually finding applications
in the treatment of a variety of domestic, industrial, and hospital wastewaters.
In the past three decades, the need for a complete assessment of the RO, and of the later
developed NF process, regarding removal of pesticide residues from various aquatic matrices,
led to an extensive research effort in many laboratories (Berg et al., 1997; Devitt et al., 1998a;
Van der Bruggen et al., 1998, 2001; Kiso et al., 2000, 2001a, 2002; Košutić et al., 2002, 2005;
Zhang et al., 2004; Causserand et al., 2005; Bhattacharya et al., 2006; Plakas et al., 2006; Sarkar
et al., 2007; Plakas & Karabelas, 2008, 2009; Ahmad et al., 2008a, 2008b; Comerton et al., 2008;
Caus et al., 2009; Benítez et al., 2009; Pang et al., 2010; Wang et al., 2010), pilot (Baier et al., 1987;
Duranceau et al., 1992; Agbekodo et al., 1996; Berg et al., 1997; Hofman et al., 1997; Wittmann
et al., 1998; Bonné et al., 2000; Boussahel et al., 2000, 2002; Chen et al., 2004) as well as to
industrial scale experiments (Agbekodo et al., 1996; Wittmann et al., 1998; Ventresque et al.,
2000; Cyna et al., 2002). A fairly large number of commercially available NF/RO membranes
have been tested for the removal of an even larger number of herbicides, insecticides,
fungicides and miscellaneous pesticides from various water matrices. The results of the
respective literature review are summarized in the Appendix, in which the NF/RO
membranes employed are listed together with their pesticide rejection performance.
A critical review of the rejection mechanisms and of the main parameters involved in
pesticide removal by NF/RO processes is made in the following. Specifically, the findings of
a comprehensive literature review are reported together with the results obtained from the
experimental work performed by the authors.
3.2 The role of membrane characteristics
The success of pesticides removal from potable water by membrane processes is strongly
related to the type of membrane selected. Important aspects to consider when choosing an
appropriate membrane are MWCO, porosity, degree of ionic species rejection, surface
Membrane Treatment of Potable Water for Pesticides Removal
381
charge and membrane type (polymer composition). The significance of each parameter on
pesticides removal is directly related to the solute properties (molecular weight, molecular
size, acid disassociation constant-pKa, and hydrophobicity/hydrophilicity-logKow) which
determine the strength of the pesticide-membranes physicochemical interactions.
Membrane molecular weight cut-off
Based on the molecular weight of the majority of the pesticide residues detected in potable
water sources (usually greater than 200Da), membranes with a MWCO varying from 200 to
400Da are promising options for the successful removal of such solutes from water. These
are reverse osmosis and tight nanofiltration membranes which are characterized by pore
sizes close to those of pesticides (<1nm). It is evident that the larger the pesticide molecule
the greater the sieving effect, resulting in greater retention. On the other hand, the retention
of small pesticide molecules by wider pore membranes can be influenced not only by the
sieving parameters (pesticide and membrane pore size) but also by the physicochemical
interactions taking place between the pesticides and the membrane surfaces. For example, in
pilot studies (Boussahel et al., 2000; 2002), among the two membranes tested, Desal DK
membranes achieved the best retention results for all pesticides and water matrices tested
due to their lower MWCO value (150-300Da) compared to NF200 (300Da) membranes. The
low MWCO of Desal DK membranes provided an explanation for the similar percentage
removal for all pesticides (except from the polar diuron), something that was not observed
in the case of NF200 membranes, for which the retention capacity was found to be
dependent both on the size and the polarity of the pesticide molecules (Boussahel et al.,
2000). In a recent work (Zhang et al., 2004), the retention of two triazine herbicides (atrazine
and simazine) by four nanofiltration membranes was also related to their MWCO.
Specifically, the smaller MWCO of UTC-20 (180Da) and UTC-60 (150Da) membranes
resulted in significantly greater removal than that achieved by DESAL 51 HL (150-300Da)
and DESAL 5 DL (150-300Da) membranes (Table 5).
Some deviations from the aforementioned trends have been also reported. For instance, in a
study by Van der Bruggen et al. (1998), the MWCO of the employed NF membranes was
poorly correlated with the removal of two classes of herbicides; i.e. triazines (atrazine,
simazine) and phenyl-ureas (isoproturon, diuron). Specifically, the NF70 membrane, with a
MWCO 200Da, presented greater retention capability than the seemingly somewhat tighter
UTC-20 membrane (MWCO 180Da). On the other hand, a NTR-7450 membrane exhibited
the worst performance (<20% retention) due to the larger pore sizes, indicated by its high
MWCO (600-800Da) (Van der Bruggen et al., 1998). Similar observations were also made in
another study (Mohammad & Ali, 2002), where the rejection of uncharged solutes and salts
did not conform to the expected trend of reduced rejection with increasing MWCO of the
NF membranes used.
Membrane porosity
The above results support the commonly held belief that the characterization of NF and
ULPRO membranes by a nominal MWCO value may be convenient in practice, but it is
questionable on physical grounds since the molecular weight of a model compound, used to
determine MWCO, cannot be representative of all molecular species (i.e. the pollutants to be
separated) of the same molecular weight but differing in conformation and in other physical
properties, which affect molecule-membrane interaction and permeation; thus, MWCO
provides only a rough estimate of the membrane capability to retain dissolved uncharged
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Herbicides, Theory and Applications
compounds. However, other quantities such as the nominal pore size of a membrane, which
refers to the smallest pore size in the membrane matrix, and the porosity, expressed as pore
density, pore size distribution (PSD), or effective number of pores (N) in the membrane top
layer (skin) have been regarded as representative parameters for predicting the rejection of
different organic compounds or particles (Van der Bruggen et al., 1999; Lee et al., 2002;
Košutić et al., 2002, 2005, 2006). For instance, the rejection of uncharged pesticide molecules
was positively correlated with membrane porosity parameters (PSD and N) (Košutić et al.,
2002, 2005). The apparent sensitivity of rejection, to accurate characterization of the
membrane porosity, is in itself an indication of the dominant role played by the sieving
mechanism; this is also consistent with findings that the membrane pore size is a crucial
parameter for pesticide removal by a specific membrane (Van der Bruggen et al., 1998). It
should be pointed out that, although in these studies the physicochemical effects on the
rejection of pesticides may be of lesser importance, they cannot be neglected as they can
contribute to final rejection achieved for specific membrane-pesticides systems. This issue is
subsequently discussed.
Degree of membrane desalination
The separation capability of tight NF and RO membranes is commonly characterized by
their salt rejection performance, rather than by MWCO which is often not reported by the
manufacturers. The desalination degree of a membrane is usually reported as the stabilized
salt rejection of a 2000 mg/L sodium chloride or magnesium sulfate solution, and/or a 500
mg/L calcium chloride solution. The desalination degree can be a useful parameter in
roughly estimating the rejection of pesticides, because the MWCO of a membrane is often
unknown and manufacturer-specific, whereas PSD and porosity determination require the
performance of specific filtration experiments or the application of special analytical
techniques (atomic force microscopy, bubble point, gas adsorption/desorption,
thermoporometry, etc). The usefulness of salt rejection has been demonstrated in studies
(Kiso et al., 2000, 2001a) where the rejection of aromatic and non-phenylic pesticides was
positively correlated with the desalination degree of commercial NF membranes; indeed,
rejection was greatest in the case of the highest desalting membranes. Specifically, the order
of rejection followed that of the nominal salt rejection capability of the membranes; i.e.,
NTR-729HF > NTR-7250 > NTR-7450 > NTR-7410, with 92%, 60%, 51% and 15% NaCl
rejection, respectively. It is interesting to notice that only the highest desalting membrane
was found to reject effectively almost all pesticides. However, rejection was again found to
be strongly influenced by the pesticide properties (hydrophobicity, charge), regardless of
the membrane salt rejection performance. In general, the reliability of the membrane
desalination degree as an accurate indicator for assessing the removal of hydrophobic
organic micro-pollutants is doubtful.
Membrane material
Membrane material is also identified as an important factor of the system pesticide-watermembrane that affects the membrane rejection performance through physicochemical
interactions in that system. For example, a number of studies confirm that composite
polyamide (PA) membranes exhibit far better rejection performance for several mixtures of
micropollutants, including pesticides, compared to the cellulose acetate (CA) membranes
(Chian et al., 1975; Hofman et al., 1997; Causserand et al., 2005). This behavior has been
Membrane Treatment of Potable Water for Pesticides Removal
383
attributed to the higher polarity of CA membranes which is responsible for the poor
rejection of the highly polar pesticides (Chian et al., 1975). On the contrary, the relatively
nonpolar aromatic PA membranes exhibit better rejection performance as well as high water
fluxes attributed to the very small thickness characterizing their effective active layer (skin),
which varies between 10nm and 500nm for various TFC NF and ULPRO membranes. It has
been also reported (Kiso et al., 2000, 2001a) that membranes made of sulfonated
polyethersulfone display lower rejection of pesticides compared to poly(vinyl alcohol)/
polyamide ones, even though their desalination capabilities are similar.
Membrane charge
The majority of the commercial TFC membranes is characterized by a negative charge which
tends to minimize the adsorption of negatively charged foulants present in membrane feed
waters and to enhance the rejection of dissolved salts (Xu & Lebrun, 1999; Deshmukh &
Childress, 2001). The electrostatic repulsion of negatively charged pesticides (pH>pKa) at
the membrane surface is expected to enhance the overall rejection performance. This is in
agreement with results obtained by Berg et al. (1997) where the rejection of the negatively
charged mecoprop (at neutral pH) was greater than the one measured for non-charged
herbicides of the same size. Specifically, rejection experiments with mecoprop in dissociated
and undissociated form were conducted with five different NF membranes; in this study, it
was estimated that less than 10% of mecoprop was dissociated at pH 3. Mecoprop, in the
dissociated form, was rejected more than in the undissociated form, by all five NF
membranes at levels between 10% and 90%. The rejection of the undissociated form of
mecoprop was comparable to the uncharged diuron which is of similar size, providing
additional evidence that rejection of undissociated organic molecules is due to steric effects.
3.3 Effect of pesticides properties on retention
According to the preceding discussion, the selection of an appropriate membrane is
primarily made on the basis of key pesticide parameters, like the molecular weight, the
molecular dimensions (length and width), the polarity (dipole moment), the hydrophobicity
/hydrophilicity (logKow), and the acid dissociation constant (pKa). Several research groups
have systematically studied the role of one or more of the aforementioned pesticide
parameters on membrane rejection, and their results are summarised here.
Pesticide molecular weight and size
Researchers agree that size exclusion is the most important mechanism of pesticide
retention. Various size parameters used in the literature to correlate pesticide rejection
include the molecular weight (MW), the Stokes diameter (ds), the diameter derived from the
molar volume (dm), the molecular length and molecular width (calculations based on
molecular STERIMOL parameters), and the diameter which is calculated from the molecular
structure by using special computer software (HyperChem, ChemOffice) (Van der Bruggen
et al., 1998, 1999; Kiso et al., 2001a; Agenson et al., 2003; Chen et al., 2004). Typical values of
size parameters for selected pesticides are listed in Table 6, where it is clearly shown that the
dimensions of a pesticide are not directly related with its MW. Small MW pesticides can be
characterized by a larger molecular length and/or width compared to other pesticides of
larger MW. This is attributed (Chen et al., 2004) to the structure and the small range of
molecular weights of the specific pesticides (198-286Da).
384
Pesticide
Atrazine
Bentazone
Cyanazine
Diuron
Mecoprop
Metribuzin
Pirimicarb
Simazine
Herbicides, Theory and Applications
Molecular weight (gr/mol)
215
240
240
233
214
214
238
201
Molecular length (Å)
10.36
9.31
10.38
9.19
9.43
10.43
10.30
10.34
Molecular width (Å)
8.02
5.42
8.33
4.87
4.88
4.43
7.93
7.49
Table 4. Size of selected pesticides; calculations using the HyperChem software (Chen et al.,
2004)
Since MW is the most easily accessible parameter (though only indicative of molecular size),
in the majority of studies attempts are made to relate the retention of uncharged pesticides
to this quantity. It has been reported (Chen et al., 2004) that a positive correlation exists
between the rejection of eleven pesticides with their molecular weights, from which a
MWCO of 200Da was determined for the membrane tested (Dow Filmtec NF70). In pilot
studies (Boussahel et al., 2002), the higher rejection of atrazine and cyanazine was attributed
to their molecular weight, which is larger than the one characterizing the other three
herbicides tested (DEA, simazine and isoproturon). Significant efforts were also made (Van
der Bruggen et al., 1999) to correlate the rejection of miscellaneous organic molecules with
their molecular weight values as well as with other size parameters with physical meaning
(ds, dm, molecular diameter calculated with the HyperChem software). Interestingly, it was
found that the correlation of retention was only slightly improved by employing size
parameters, as compared to correlation with MW; this implies that MW is a useful indicator
for correlating retention (Van der Bruggen et al., 1999). Nevertheless, MW cannot be
recommended for modeling efforts, since it is not representative of the geometry of the
molecules that affects their rejection or transfer through the membrane.
Molecular length and molecular width are also reported in the literature to be realistic
measures of molecular size and good parameters for predicting the rejection of different
groups of organic compounds by NF/RO membranes. For example, the rejection of
aromatic pesticides was found (Chen et al., 2004) to be best correlated with their molecular
length rather than their molecular width (theoretical calculations by HyperChem based on
their structures and orientation). The molecular length in this case represented the crosssectional diameter due to structural orientation. On the other hand, the molecular width
(MWd) was suggested (Kiso et al., 2001b) as a useful descriptor of the steric hindrance effect
on the rejection of alcohols and carbohydrates. In addition to MWd, Kiso et al. (2001b)
developed another molecular size parameter which correlated the rejection of alcohols and
carbohydrates better than the MWd or the Stokes diameter; specifically, they calculated a
mean molecular size (MMS) by taking half of the length of the edge of the cube
encompassing the molecule (Kiso et al., 2001b). Better correlations with MMS where
observed for high MWCO membranes (>500Da), while for low MWCO membranes
(<250Da) MWd was found to be a better descriptor than MMS (which is the case for most
pesticides) (Kiso et al., 2001b).
Regarding the aromatic (phenylic) and the non-phenylic pesticides, it was found (Kiso et al.,
2000, 2001a) that rejection cannot be correlated solely with a molecular size parameter. This
is attributed to the sorption capacity of these molecules on the membrane polymer which
Membrane Treatment of Potable Water for Pesticides Removal
385
together with the molecule planarity (size) explain the solute permeability through the
nanofiltration membranes. In an effort to combine steric hindrance effects with adsorption,
Kiso et al. (2001a) developed an alternative molecular width parameter (P-MWd) which was
used in the statistical processing of their experimental results. A regression analysis showed
that the permeability of an aromatic compound through a membrane can be reduced due to
both its sorption capacity and its molecular width. Similar observations were also made for
alkyl phthalates and mono-substituted benzenes (Kiso et al., 2001b) with the rejection being
strongly affected by their hydrophobic properties. These results indicate the significance of
the solute-membrane affinity on rejection, and that solute transport predictions should not
be based only on steric exclusion effects (Verliefde et al., 2009a).
Pesticide hydrophobicity/hydrophilicity
The significance of adsorption on the rejection of pesticides during membrane applications
has been first reported by Chian and his coworkers (Chian et al., 1975). They claimed that
the interaction between the hydrocarbon (nonpolar) segments of pesticide molecule and
membranes is due to hydrophobic bonding. Since then, many researchers have reported
significant adsorption of pesticides and of other organic micropollutants onto the membrane
polymer (Kiso et al., 2000, 2001a; Nghiem & Schäfer, 2002; Agenson et al., 2003; Kimura et
al., 2003a, 2003b; Comerton et al., 2007; Plakas & Karabelas, 2008). A literature review shows
that except from the hydrophobic interactions, adsorption may also take place through
hydrogen bonding between the organic molecules and the hydrophilic groups of the
membrane material (Nghiem et al., 2002). Hydrogen bonding and hydrophobic interactions
can apparently act either independently or together. In the latter case, it is often difficult to
distinguish the two effects. Regarding pesticides, the literature review suggests that the
hydrophobic interactions are mostly responsible for pesticide adsorption onto membrane
surfaces, which is considered to be the first step of the rejection mechanism. This
observation led researchers to the conclusion that the rejection of hydrophobic compounds
should be experimentally evaluated after the tested membrane is saturated with the target
compounds; otherwise, the rejection is likely to be overestimated, with adsorption
misinterpreted as some kind of high initial rejection (Kimura et al., 2003b).
A measure of solute hydrophobicity/hydrophilicity is the octanol/water partition
coefficient (logKow or logP), while the hydrophobic nature of a membrane is characterized
by its contact angle value (Mulder, 1998). LogKow values of trace organic molecules vary
between -3 and 7, with the higher values characterizing hydrophobic compounds (usually
for logKow>2). Kiso et al. (2000, 2001a, 2002) systematically investigated the relationship
between logKow versus retention and adsorption of a number of aromatic and non-phenylic
pesticides, using flat sheet and hollow fiber nanofiltration membranes. While no significant
correlation was identified between retention and logKow, there was a rather good correlation
between the adsorption and the characteristic logKow values of the pesticides tested (Kiso et
al., 2000, 2001a, 2002). Moreover, it was found that the presence of a phenyl group in a
molecule increases its adsorption capacity (aromatic pesticides), while alkyl groups can have
negative effects on the interaction between a phenyl group and the membrane (Kiso et al.,
2001a). In a recent study (Comerton et al., 2007), static adsorption experiments with 22
endocrine disrupting species and pharmaceutically active compounds (including the
pesticides alachlor, atraton, metolachlor, DEET), and UF, NF and RO membranes, showed
that adsorption was strongly correlated with compound logKow and membrane pure water
permeability, and moderately correlated with compound solubility in water. Kimura et al.
386
Herbicides, Theory and Applications
(2003b) reported also the negative effect of solute charge on adsorption, since adsorption
was found to be greater for electrostatically neutral hydrophobic compounds.
Finally, in a systematic study on the effect of coexisting herbicides on rejection (Plakas &
Karabelas, 2008), a competition was identified for adsorption sites on the membrane
surfaces between the different solutes present in the feed-waters. This phenomenon resulted
in different rejection values, since herbicides were better rejected in single solute solutions
than in mixed solute systems. This effect was particularly pronounced in the case of tight
membranes (NF90, XLE), since the more porous membrane (NF270) showed an increased
retention of the herbicides atrazine and isoproturon when treated together with prometryn
or in triple-solute solutions (Table 5). A pore restriction effect, due to the larger prometryn
molecule, could be responsible for this trend, which seems to positively influence the
retention of the smaller molecules (Plakas & Karabelas, 2008).
Membrane
Herbicide
Single solute
system
Double solute system
A
NF270
NF90
Atrazine
78.9 (18.8)
Isoproturon
73.1 (25.0)
Prometryn
90.8 (23.7)
Atrazine
99.3 (21.1)
Isoproturon
95.1 (25.6)
Prometryn
XLE
99.8 (28.3)
Atrazine
97.6 (24.8)
Isoproturon
96.6 (5.1)
Prometryn
98.1 (31.2)
63.8
(26.0)
87.7
(27.5)
93.1
(23.1)
96.6
(26.2)
83.2
(11.3)
95.5
(29.5)
I
73.2
(20.2)
82.7
(33.6)
93.1
(19.2)
96.8
(29.0)
88.2
(27.0)
94.0
(32.4)
P
86.1
(16.5)
85.0
(15.1)
86.2
(30.5)
91.8
(25.3)
94.9
(23.0)
84.1
(8.2)
-
Triple solute
system
81.2 (17.1)
82.4 (17.0)
83.1 (32.5)
87.5 (26.8)
92.1 (23.2)
96.3 (27.3)
90.1 (22.5)
87.0 (9.0)
94.9 (31.3)
Table 5. Herbicide retention results (%) and percentage adsorption data (values in the
brackets) in the case of single and multi-solute nanofiltration experiments; A, I and P
designate solutions with Atrazine, Isoproturon and Prometryn, respectively (Plakas &
Karabelas, 2008).
Pesticide polarity
One of the most important physicochemical criteria governing nanofiltration and reverse
osmosis separation of trace organic compounds in aqueous solution is the “Polar Effect” of
the solute molecule (Matsuura & Sourirajan, 1973). As outlined in paragraph 2.4, the passage
of polar organic molecules to the permeate side is facilitated by the polar interactions with
the membrane charge, which leads to a reduced solute rejection. Van der Bruggen et al.
(1998) have successfully combined size exclusion and polarity effects to explain the retention
Membrane Treatment of Potable Water for Pesticides Removal
387
of four pesticides. Specifically, the retention of the two phenyl-urea derivatives, diuron and
isoproturon, was lower than the one measured for the two triazine compounds, atrazine and
simazine (Van der Bruggen et al., 1998). Diuron and isoproturon are not smaller than the
two triazines, but they have a higher dipole moment (a measure of polarity) which favors
the sorption, and consequently the diffusion of these molecules into the membrane polymer.
The effect of the dipole moment was also confirmed by comparing the retentions of the two
polar herbicides with those measured for a series of non-polar carbohydrates. The filtration
results showed that a greater dipole moment leads to a lower retention (Van der Bruggen et
al., 1998). In general, it has been concluded that solute polarity is important for membranes
with an average pore size that is larger than the size of compounds to be retained (Van der
Bruggen et al., 1999, 2001; Košutić et al., 2002).
3.4 Effect of the feed water composition
Membrane filtration experiments with real or simulated raw waters (i.e. solutions
containing salts, organic matter and pesticides) have shown that pesticide rejection can vary
greatly, depending on the feed water composition. Specifically, pH, ionic strength, and the
presence of organic matter are identified as having an influence on pesticide rejection. The
respective literature results are discussed next.
Influence of water pH
The role of pH on pesticide rejection is related mainly to the changes taking place in the
membrane surface structure and charge. It has been determined that pH has an effect upon
the charge of a membrane due to the dissociation of functional groups. Zeta potential for
most membranes has been observed in many studies to become increasingly more negative
as the pH is increased and functional groups deprotonate (Childress & Elimelech, 1996;
Deshmukh & Childress, 2001; Afonso et al., 2001). Moreover, pore enlargement or shrinkage
can occur depending upon the electrostatic interactions between the dissociated functional
groups of the membrane material (Freger et al., 2000). In a study performed by Berg et al.
(1997) the rejection of uncharged organic compounds (atrazine, terbuthylazine) at pH 3 and
7 was relatively constant. However, higher pH values resulted in reduced rejection rates
together with an increased permeate flux. This was attributed to the pore enlargement at
higher pH values.
Experiments with the uncharged simazine molecule showed that rejection attained the
highest value at pH 8, and consistently lower values at pH 4 and 11 (Zhang et al., 2004).
These results were attributed to ion adsorption on the membrane surface; specifically, at
higher pH, OH− ions adsorption increased, resulting in an increase of the membrane charge.
Polar components such as pesticides exhibit a reduced rejection with increasing membrane
charge, because such molecules tend to preferentially orient themselves so that the dipole
with a charge opposite to that of the membrane charge is the closest to the membrane
surface. Consequently, this preferential orientation results in an increased attraction, an
increased permeation and thus a lower rejection. At lower pH, the same effect might occur
with H+ ions (Zhang et al., 2004).
Finally, it was recently reported (Ahmad et al., 2008b) that increasing the solution pH led to
enhanced atrazine and dimethoate rejection, but degraded the permeate flux performance
for NF200, NF270 and DK membranes. However, the NF90 membrane exhibited relatively
consistent performance in both rejection and permeate flux, regardless of the solution pH
(Ahmad et al., 2008b).
388
Herbicides, Theory and Applications
Influence of solute concentration
Filtration experiments with atrazine and prometryn in different concentrations (10–700
μg/L) showed small variations in rejection by NF/ULPRO membranes (Plakas et al., 2006;
Plakas & Karabelas, 2008). Specifically, the differences in retention values varied between 7
and 13%. This is in agreement with observations made by other researchers (Agbekodo et
al., 1996; Van der Bruggen et al., 1998; Zhang et al., 2004; Ahmad et al., 2008a), in that
herbicide concentration does not significantly affect their retention. The fact that the
filtration of fluids with smaller feed concentrations led to a slight reduction of triazine
retention (especially in the case of a ULPRO membrane) could be attributed to the amount
of triazines adsorbed on the selected membranes; more specifically, the smaller triazine
concentration may be associated with a slightly smaller adsorption, in comparison to the
results obtained with greater feed concentrations, something that was more pronounced in
the case of the less tight NF membrane (Plakas et al., 2008).
Influence of the ionic environment
A number of studies have shown that the retention of pesticides can be moderately
influenced by the presence of dissolved salts in the feed solution due to the interactions
taking place between the ions and the membrane surfaces. Specifically, it has been
suggested (Yoon et al., 1998) that, at high ionic concentrations, there may be a reduction in
the electrostatic forces inside the membrane (i.e. reduced repulsion) which may cause a
reduction of the actual size of the pores, leading to a reduced membrane permeability;
consequently, a better rejection of pesticides accompanied by a reduced water flux could be
observed. Based on these considerations, an explanation can be also provided for the higher
rejection of pesticides by nanofiltration membranes with ground water (Van der Bruggen et
al., 1998), tap and/or river water (Zhang et al., 2004). It should be noted, however, that the
presence of natural organic matter in the natural water samples employed may have also
positively affected the rejection of pesticides (Zhang et al., 2004).
In an earlier study (Boussahel et al., 2002), the presence of divalent cations (calcium) in the feed
solution appeared to exercise little influence on pesticide rejection, whereas rejection was
found to be related to the membrane type. Specifically, an improvement in pesticide rejection
by approx. 5% (in the presence of CaCl2) and 10% (in the presence of CaSO4) was reported for
a NF200 membrane, while for the Desal DK membrane very little change was noted, i.e. a
slight drop in the percent removal (5%) for DEA and simazine with CaCl2 (Boussahel et al.,
2002). These results are in agreement with those from a recent study (Plakas & Karabelas,
2008), where a moderate influence of calcium ions on herbicide retention was obtained; this
influence, was either positive or negative depending on the membrane type. For example, the
effect of calcium ions on pesticide removal by relatively dense and neutral NF/ULPRO
membranes was found to be negative. This was not observed in the case of dense and
negatively charged membranes which were not significantly influenced by the presence of
calcium. On the other hand, the retention of pesticides by relatively porous NF membranes
was found to increase with the presence of calcium ions, possibly due to the mechanism of
pore blockage described earlier (Plakas & Karabelas, 2008).
In the case of elevated ionic strength, due to the presence of sodium chloride in the feed
solution, rejection was reduced for all herbicides and membranes tested (Plakas &
Karabelas, 2008). This was explained by the reduction of the hydrodynamic radius of
herbicides in the presence of NaCl, especially of the hydrophobic triazines, with a likely
Membrane Treatment of Potable Water for Pesticides Removal
389
contribution of concentration polarization on the membrane surface. Regarding the effect of
herbicides on salt rejection, there was an increase observed in sodium chloride rejection only
for the wide-pore NF membranes, something that was not observed in the case of calcium
ion retention which remained constant. However, the calcium retention was reduced
somewhat, by approximately 7% and 13% for the tight NF90 and XLE membranes,
respectively. Furthermore, the presence of calcium ions had no influence on herbicide
adsorption on all membranes tested, as also observed by previous researchers (Boussahel et
al., 2002).
Pesticide retention in the presence of organic matter
A number of studies performed with either NF/RO membranes (Agbekodo et al., 1996; Berg
et al., 1997; Devitt et al., 1998a; Boussahel et al., 2000; Zhang et al., 2004) or dialysis
membranes (Devitt & Wiesner, 1998b; Dalton et al., 2005) have shown that the retention of
pesticides is significantly influenced by the presence of natural organic matter (NOM) in
water. This fact is of considerable importance since a large percentage of pesticide residues
is present in surface and ground waters together with organic matter; i.e. humic and fulvic
acids, polysaccharides, etc. (Kulikova & Perminova, 2002). In general, humic substances
(HS) are a ubiquitous component of natural water systems that may function as an auxiliary
phase to alter the speciation and transport behaviour of other xenobiotic compounds present
in water (Wersaw, 1991). Thus, organic micropollutants, like pesticides, may exist either as
free dissolved species or as a complex with HS.
A literature review on the effect of NOM on pesticide retention by membranes, suggests that
there is a dependence on the type of NOM present in the water. NOM is composed of an
extremely diverse group of compounds, including humic acids, carbohydrates, alcohols,
amino acids, carboxylic acids, lignins, and pigments, whose origin greatly influences its
character and behaviour. The majority of the published works agree on the fact that the
retention of pesticides in membrane-based systems tends to increase in the presence of
NOM (Agbekodo et al., 1996; Devitt et al., 1998a, 1998b; Zhang et al., 2004; Dalton et al.,
2005), which is generally attributed to a variety of factors; e.g., the size, shape, and surface
chemistry of compounds involved. On the other hand, the use by various researchers of
NOM of different origin, and the inadequate information regarding their physicochemical
properties (elemental analysis, functional groups), hinder the systematic comparison of
experimental results as well as the correlation of the pesticide/NOM membrane retention
with the characteristic properties of the organic matter naturally occurring in water.
To identify the variability introduced by the different properties of humic substances on
pesticide rejection, Plakas & Karabelas (2009) performed systematic studies with wellcharacterized HS in order to improve the understanding of mechanisms of NOM–pesticide
retention by membranes. Specifically, they used four different types of HS; i.e. three of them
were typical water-born HS (humic acid, fulvic acid, and a mixture of NOM) whereas the
fourth one was a HS surrogate (tannic acid). The results of this study show that the
combined nanofiltration of triazines (atrazine, prometryn) and naturally occurring humic
substances facilitates the formation of complexes with triazines which in turn enhance their
removal by nanofiltration (Fig. 7). This complexation appeared to be related not to the
characteristic acidity (phenolic, carboxylic) of the HS used, but rather to their molecular
conformation (Plakas & Karabelas, 2009). More specifically, a preferential binding was
observed between triazines and low molecular weight fractions of humic compounds
390
Herbicides, Theory and Applications
100
100
90
90
80
80
70
70
Retention (%)
Retention (%)
(especially of fulvic acid and tannic acid), which resulted in higher retention values for the
two triazines. Under all conditions, tannic acid exhibited the greatest effect on triazine
retention, among the four standard HS compounds used, leading to an almost complete
removal of the two triazines (95–100%) for all three membranes tested (Fig 7).
60
50
40
50
40
30
30
20
20
10
10
0
NF270
A/HA, 1μg/0mg
P/HA, 1μg/0mg
NF90
A/HA, 1μg/1mg
P/HA, 1μg/1mg
XLE
0
NF270
A/HA/Ca 1μg/1mg/4mg
P/HA/Ca 1μg/1mg/4mg
A/FA, 1μg/0mg
P/FA, 1μg/0mg
100
100
90
90
80
80
70
70
Retention (%)
Retention (%)
60
60
50
40
NF90
A/FA, 1μg/1mg
P/FA, 1μg/1mg
XLE
A/FA/Ca 1μg/1mg/4mg
P/FA/Ca 1μg/1mg/4mg
60
50
40
30
30
20
20
10
10
0
0
NF270
A/NOM, 1μg/0mg
P/NOM, 1μg/0mg
NF90
A/NOM, 1μg/1mg
P/NOM, 1μg/1mg
XLE
A/NOM/Ca 1μg/1mg/4mg
P/NOM/Ca 1μg/1mg/4mg
NF270
A/TA, 1μg/0mg
P/TA, 1μg/0mg
NF90
A/TA, 1μg/1mg
P/TA, 1μg/1mg
XLE
A/TA/Ca 1μg/1mg/4mg
P/TA/Ca 1μg/1mg/4mg
Fig. 7. Retention of atrazine (A) and prometryn (P) by three NF/ULPRO membranes in the
absence or presence of humic substances (HA, FA, NOM, TA) and/or calcium ions (Plakas
& Karabelas, 2009)
Moreover, triazine retention was found to increase with increasing HS concentration, to a
degree depending on the type of HS; additionally, removal of triazines was improved in the
presence of calcium which displayed a tendency to enhance the interaction between HS and
triazines (Plakas & Karabelas, 2009). In parallel, it is noted that a number of studies with
dialysis membranes (Devitt et al., 1998a, 1998b, Dalton et al., 2005) have reported reduced
values of atrazine retention when divalent calcium is present together with naturally
occurring organic matter, including the NOM surrogate, tannic acid. According to Devitt et
al. (1998a, 1998b), this trend is due to the reduced association of atrazine and NOM, as a
result of the occupation of interaction sites by calcium and/or the reduced access of atrazine
to NOM sites due to changes in molecular conformation. However, gel permeation
chromatography experiments (Plakas & Karabelas, 2009) have shown that this is not the
case, since the presence of calcium had the tendency to increase the interaction of humic
substances with triazine compounds. These conflicting results could be attributed to the
different types of membranes and filtration techniques used. In particular, the use of
cellulose ester membranes, as well as the experimentation on batch dialysis systems by
Devitt et al. (1998a, 1998b), where concentration and osmotic pressure difference serve as the
driving force for solute transport (absence of hydrodynamic forces), may justify the
seemingly different calcium effect on triazine retention.
Membrane Treatment of Potable Water for Pesticides Removal
391
3.5 Effect of membrane fouling
The significant number of parameters affecting pesticide retention is indicative of the
complicated interactions taking place, which can be further influenced by the changes
occurring in membrane surface properties as a result of fouling. This is especially true in the
case of the organic micropollutants (EDCs, PhACs, pesticides, etc), since their retention is
determined by electrostatic, steric and hydrophobic/hydrophilic solute-membrane
interactions, which can be modified due to foulants depositing on the membrane surface.
The effect of fouling on organic micropollutant retention has been the subject of rather
extensive research in the past decade (Ng & Elimelech, 2004; Xu et al., 2006; Plakas et al.,
2006; Steinle-Darling et al., 2007; Agenson & Urase, 2007; Nghiem & Hawkes, 2007; Bellona
et al., 2010; Nghiem & Coleman, 2008; Verliefde et al., 2009; Yangali-Quintanilla et al., 2009).
Systematic investigations on the influence of colloidal and/or organic fouling on various
trace organic species suggests that solute retention can be distinguished in two different
cases, depending on the relative solute selectivities of the fouling layer and the membrane.
First, if the membrane rejects solutes better than the deposited layer, hindered back
diffusion of solutes (by the fouling layer) would cause solute accumulation near the
membrane surface. This cake-enhanced concentration polarization results in greater
concentration gradient across the membrane and, hence, a decrease in solute retention.
Second, if solutes are rejected better by the deposited layer than the membrane, the fouling
layer controls solute retention which tends to improve.
The literature review suggests that membrane fouling may significantly affect the retention
of low MW organic compounds depending on the concentration and characteristics of the
foulants, the membrane properties, and the chemical composition of feed water. Regarding
pesticides, it has been shown (Plakas et al., 2006) that the differences in retention between
fouled and virgin membranes are related to the diffusion capacity of herbicides across the
membranes. When a rather loose humic layer is formed on the membrane surfaces,
especially when membranes are fouled by humic substances alone, in the absence of calcium
ions, herbicides retention can be reduced due to their increased diffusion through the
membrane polymeric matrix, which is further facilitated by the cake-enhanced
concentration polarization effect. In the case of rather dense fouling layers formed through
HS-Ca complexation, herbicide retention may improve; indeed, these layers can serve as
additional barriers which enhance the sieving effect, resulting in higher retention values
(Plakas et al., 2006).
3.6 Influence of the operating parameters
Rejection of pesticides is also found to be influenced by operating parameters, such as the
water flux and the feed-stream velocity in the cross-flow mode of filtration. In a study
conducted by Chen et al. (2004) rejection of pesticides was shown to be dependent on
operating flux and recovery. In particular, the highest percent rejection occurred at high flux
and low recovery, whereas the lowest percent rejection took place at low flux and high
recovery, which is in accord with the solution-diffusion theory (Chen et al., 2004). This
finding is in agreement with the work performed by Ahmad et al. (2008a), where the
retention of both dimethoate and atrazine was found to be better when the pressure was
increased from 6 to 12×105 Pa (increased water flux).
It is interesting to note that in an early study (Chian et al., 1975), the effect of pressure on
pesticide separation was negligible in the case of a high-desalting membrane. However, it
392
Herbicides, Theory and Applications
was anticipated that rejection of the more polar molecules would increase somewhat with
increasing pressure, especially for membranes exhibiting inferior rejection performance
(Chian et al., 1975). Finally, in a pilot study (Duranceau et al., 1992), no effect on pesticide
mass transfer was observed for varied feed-stream velocity, which was estimated to vary
between 0.07 and 0.16m/s. This is in agreement with the crossflow experiments performed
by the authors (paper in preparation) where the cross-flow velocity had a minimum effect
on atrazine and prometryn rejection by a relatively porous NF membrane. It will be added
that ongoing work in the authors Laboratory, shows that an increase in applied pressure
results in a more pronounced increase in herbicides retention.
Finally, a cascade of NF stages was recently proposed (Caus et al., 2009) to attain high
removal of organic pollutants, combined with low salt rejection; to achieve the latter, loose
commercial nanofiltration membranes were selected (Desal51HL, N30F and NF270).
Through modelling, it was shown that the separation could be significantly improved by a
design involving cascade of NF membrane stages. Moreover, researchers have suggested the
use of a Desal51HL membrane for an almost complete pesticide rejection combined with
moderate salt passage (Caus et al., 2009).
3.7 Summary
By reviewing the literature, one is led to the conclusion that pesticides removal by
nanofiltration and low-pressure reverse osmosis membranes is a complicated process in
which several membrane and solute parameters, including feed water composition and
process conditions play a role. In general, there is ample evidence that size exclusion
(sieving) by the membrane pores is one of the main mechanisms determining the retention
of pesticides; the pesticides molecular mass, in comparison to the MWCO of the membrane
used, appears to be a very rough, albeit frequently convenient, criterion for assessing the
effectiveness of the separation process. For the relatively small size uncharged pesticides,
molecular mass in combination with the hydrophobic character of the molecules (commonly
characterized by logKow) seem to determine the retention. For instance, hydrophobic
pesticides (with a large value of logKow) are not well retained by nanofiltration membranes;
this is attributed to the increased adsorption on the membrane surfaces that promotes their
subsequent diffusion to the permeate side. For charged pesticides, both size exclusion and
electrostatic interactions appear to control the degree of separation. In the case of polar
pesticides, rejection may be reduced due to polar interactions with the charged membranes;
this is especially true for membranes with an average pore size larger than the compounds
to be retained. In general, pesticides characterized by increased affinity for the membrane
tend to be rejected to a lesser extent than those of a similar size but with reduced tendency
for adsorption on the membrane.
The aforementioned results can form the basis for recommending general rules for selecting
membrane type for efficient separation of pesticides, taking also the composition of feedwater into account. In principle, a nonpolar membrane surface would be preferable for
improved, overall, pesticides rejection. However, it should be recognized that the presently
widely employed polyamide NF/RO membranes are characterized by surface
hydrophilicity (desirable as it resists organic fouling) and by rather small negative charge.
Regarding porosity, dense membranes are definitely preferable, for effective removal of
even small pesticides molecules. However, membranes characterized by reduced porosity
and polarity are associated with reduced flux, thus requiring increased operating pressure
(and energy expenditure) to achieve a given clean water production rate.
Membrane Treatment of Potable Water for Pesticides Removal
393
Another aspect to be considered in purification of water from organic micro-pollutants, like
pesticides, is membrane fouling. Systematic studies on the effect of organic fouling on
pesticide rejection have shown that fouling alters the membrane surface properties and, as a
consequence, rejection of pesticides can drastically change in comparison with virgin
membranes. Therefore, it is of paramount importance in membrane applications to identify
the type of foulants with potential to deposit on the membrane surface, in order to predict
the influence of these deposits on membrane surface properties and thus on rejection. In this
direction, an adequate characterisation of the membrane surface as well as of the
composition of the feed water is necessary.
4. Current trends and R&D needs for removal of trace organic contaminants
from potable water
Regarding the design and operation of modern water treatment processes, to remove toxic
pollutants including pesticides, there are two major issues with very significant
technological, economic and (above all) environmental and human health impact, that have
to be successfully addressed by the scientific community : (a) Production of safe potable
water. This target entails the design of effective, environmentally friendly and economically
attractive processes capable of meeting the stringent drinking water standards, even in cases
of feedwater with variable load of pollutants (including pesticides) of uncertain type and
concentration. (b) Elimination or disposal of liquid and solid wastes from the water
treatment process, after appropriate treatment to render them safe for humans and the
environment; this problem is especially acute due to the high concentration of pollutants
retained in the wastes. It is evident that development of integrated processes, successfully
coping with the above problems should be pursued, and that R&D activities should support
these efforts.
Considering the first issue, as discussed in this chapter, NF has emerged as a reliable
operation that provides the basis for developing effective potable water treatment processes.
However, in general NF may not be possible (and perhaps should not be assigned) to
handle alone the water purification task. Indeed, NF has to be combined with other
complementary operations, in the context of an effective integrated design. The main
considerations and current trends regarding the design of such integrated processes, taking
advantage of the NF attributes, should be stressed:
•
NF alone can achieve three technical objectives, on the basis of its characteristics; (i)
partial hardness removal (i.e. water conditioning) by reducing the concentration of Ca
and Mg salts, (ii) practically total removal of NOM and of assorted colloidal species,
with the unavoidable penalty of membrane fouling, (iii) removal of pesticides and of
other toxic compounds, to a rather high degree depending on many factors.
•
The currently favored approach of coping with pesticides and the multitude of toxic
substances, at very small concentration, is to incorporate in an integrated process
sequential operations (akin to successive “lines of defense”), ensuring adequate final
removal of all these pollutants. The key role of NF in this scheme is to perform as best
as possible, and at least to remove most of the toxic pollutants, so that a final
purification can be achieved in one or two subsequent steps; e.g. by employing granular
activated carbon. This approach affords significant advantages over the currently
employed conventional treatment processes, which tend to rely mostly on activated
carbon.
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Herbicides, Theory and Applications
In view of the above considerations, it appears that priority should be mainly given to the
following R&D areas:
To maximize the rejection of pesticides (and of other micro-pollutants) by the NF
membranes. Particular attention deserve the improved understanding of the physicochemical interactions between pesticides (and other such species) and various types of
NF and LPRO membranes, as well as the clarification of the interaction between
common organic matter (humic and fulvic acids, polysaccharides, etc) and the micropollutants. As the latter cannot be avoided, it may have to be facilitated (possibly by
adjusting conditions) to maximize pesticides removal.
In connection with the above areas, further investigation of the role of membrane
fouling layers on the adsorption and/or rejection of pesticides.
Development of processes for pesticides degradation that may be combined with, and
complement, NF for optimum overall performance. Typical cases currently studied
include Advanced Oxidation Processes (AOP); photo-catalytic and electro-Fenton
processes, belonging in this category, need further study as they may offer significant
advantages in conjunction with NF.
Design of novel integrated process schemes, including NF; e.g. a combination of NF and
AOP with final activated carbon treatment, could be pursued for developing optimum
solutions. Structural (flow-sheet) and parameter optimization of these processes is
necessary. One of the design objectives of the integrated processes should be the
minimization of liquid and solid wastes, thus reducing the load of the following waste
treatment stage. It should be pointed out that, due to social and legislative pressure,
major stake-holders in the water treatment sector are very concerned about this waste
treatment problem, and are taking steps to address it at the R&D and demonstration
levels [e.g. Bozkaya-Schrotter et al., 2009].
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No. 7, pp. 2180-2186, ISSN 0043-1354.
Zhang, Y.; Van der Bruggen, B.; Chen, GX.; Braeken, L. & Vandecasteele, C. (2004). Removal
of pesticides by nanofiltration: effect of the water matrix. Separation & Purification
Technology, Vol. 38, pp. 163-172, ISSN 1383-5866.
401
Membrane Treatment of Potable Water for Pesticides Removal
Appendix
Membrane
YC 05
HR95PP
Specifications
Amicon
MWCO 500Da
Dow Filmtec
Remarks
Lab scale
(dead-end)
Lab scale
(crossflow)
NFc
Dow Filmtec
Lab scale
(crossflow)
NF45
Dow Filmtec
Lab scale
MWCO 300Da (dead-end)
Lab scale
(crossflow)
Lab scale
(crossflow)
NF70
Dow Filmtec
MWCO 200300Da
Pilot and
industrial
scale
Lab scale
(dead-end)
Lab scale
(crossflow)
Lab scale
(crossflow)
Pesticides
Atrazine
Retention (%)
~10
Atrazine
MCPA
Propham
Triazimefon
Atrazine
Diazinon
Dichlorvos
Triadimefon
Atrazine
99.0
93.6
96.8
82.9
80-85
86-94
56-62
63-67
~31
Atrazine
Diuron
Isoproturon
Simazine
Atrazine
Diuron
Isoproturon
Simazine
Atrazine
Simazine
Atrazine
91.6-91.8
59.4
81.0
84.8-85.9
87.0
51.0
75.0
64.5
50-90
50-100
(Dissolved
organic carbon
present: 0.4-3.6
mg/L)
~65
Atrazine
Diuron
Isoproturon
Simazine
Atrazine
Diuron
Isoproturon
Simazine
89.9-92.0
85.9
90.3
88.5-89.2
93.5
92.0
90.0
90.1
Reference
Devitt et al.,
1998a
Košutić et al.,
2002
Košutić et al.,
2005
Devitt et al.,
1998a
Van der
Bruggen et al.,
1998
Van der
Bruggen et al.,
2001
Agbekodo et
al., 1996
Devitt et al.,
1998a
Van der
Bruggen et al.,
1998
Van der
Bruggen et al.,
2001
Table A. Rejection characteristics of pesticides by commercially available NF/RO
membranes (alphabetical listing of membrane manufacturers).
402
Herbicides, Theory and Applications
Membrane
NF70
Specifications
Dow Filmtec
MWCO 200300Da
NF90
Dow Filmtec
Lab scale
MWCO 200Da (dead-end)
NF200
Remarks
Pilot scale
(retention for
two different
water
recoveries:
50 and 15%)
Lab scale
(dead-end)
Dow Filmtec
Lab scale
MWCO 300Da (dead-end)
Industrial
scale
Pilot scale
Lab scale
(dead-end)
NF270
Dow Filmtec
MWCO 200400Da
Lab scale
(dead-end)
Lab scale
(crossflow)
Lab scale
(dead-end)
Table A. Continued
Pesticides
Atrazine
Bentazone
Cyanazine
Diuron
DNOC
Mecoprop
Metamitron
Metribuzin
Pirimicarb
Simazine
Vinclozolin
Atrazine
Prometryn
Isoproturon
Atrazine
Dimethoate
Atrazine
Atrazine
Chlorotoluron
Simazine
Atrazine
Cyanazine
DEA
Diuron
Isoproturon
Simazine
Atrazine
Prometryn
Isoproturon
Atrazine
Dimethoate
Atrazine
Diazinon
Dichlorvos
Triadimefon
Atrazine
Prometryn
Isoproturon
Retention (%)
86.1/93.5
100/100
92.2/93.6
50.1/71.4
60.8/87.2
93.0/100
-/53.4
87.5/93.7
100/100
71.6/86.4
100/100
86.2-99.3
96.3-99.8
91.8-95.1
in single or multisolute solutions
>95
~90
~39
<<0.1μg/L
permeate
concentration
~82
~81
~70
~45
~75
~70
83.3
97.0
82.0
75-78
~55
81-85
90-93
~40
>99.0
73.2-86.1
82.7-90.8
63.8-85.0
in single or multisolute solutions
Reference
Chen et
al., 2004
Plakas et
al., 2008
Ahmad et
al., 2008a
Devitt et
al., 1998a
Wittmann
et al., 1998
Boussahel
et al.,
2000, 2002
Plakas et
al., 2006
Ahmad et
al., 2008
Košutić et
al., 2005
Plakas et
al., 2008
403
Membrane Treatment of Potable Water for Pesticides Removal
Membrane
NF270
Specifications
Dow Filmtec
MWCO 200400Da
Remarks
Lab scale
(dead-end)
Pesticides
Atrazine
Dimethoate
Retention (%)
65-70
25-35
Reference
Ahmad et
al., 2008
Lab scale
(crossflow)
Alachlor
Atraton
DEET
Metolachlor
Atrazine
MCPA
Propham
Triazimefon
Atrazine
Diuron
Melazachlorine
Simazine
Terbutylazine
Dichloroaniline
13.4±11.0
11.6±1.8
11.5±2.2
21.7±11.3
89.6
89.4
89.8
78.5
~50
~68
~35
~20
~45
<25
Comerton
et al., 2008
Atrazine
Diuron
Melazachlorine
Simazine
Terbutylazine
Atrazine
Cyanazine
DEA
Diuron
Isoproturon
Simazine
Dichloroaniline
~47
<10
~73
~35
~53
>95
>95
>95
~75
~95
~95
60-95
Lab scale
(dead-end)
Lab scale
(crossflow)
Atrazine
Dimethoate
Atrazine
Simazine
75-82
62-75
~58
~45
Causseran
d et al.,
2005
Ahmad et
al., 2008
Zhang et
al., 2004
Lab scale
(crossflow)
Atrazine
Simazine
~71
~70
Zhang et
al., 2004
TFC8821ULP
Fluid Systems
Co.
Lab scale
(crossflow)
BQ-01
GE Water
Technol.
(Osmonics)
Lab and
pilot scale
CK
GE Water
Technol.
MWCO 200Da
Desal 5 DK GE Water
Technol.
MWCO 150300Da
Lab scale
(crossflow)
Lab and
pilot scale
Pilot scale
Lab scale
(dead-end)
Desal 5 DL
GE Water
Technol.
MWCO 150300Da
Desal 51HL GE Water
Technol.
MWCO 150300Da
Table A. Continued
Košutić et
al., 2002
Berg et al.,
1997
Causseran
d et al.,
2005
Berg et al.,
1997
Boussahel
et al.,
2000, 2002
404
Herbicides, Theory and Applications
Membrane
NF-CA 50
Specifications Remarks
Hoechst
Lab and
pilot scale
CPA2
Hydranautics Lab scale
(crossflow)
Lab scale
(crossflow)
PVD1
Hydranautics Lab and
pilot scale
NTR-7250
Nitto Denko
Lab and
pilot scale
Lab scale
(dead-end)
Table A. Continued
Pesticides
Atrazine
Diuron
Melazachlorine
Simazine
Terbutylazine
Atrazine
Dichlorvos
Triadimefon
Atrazine
MCPA
Propham
Atrazine
Diuron
Melazachlorine
Simazine
Terbutylazine
Atrazine
Diuron
Melazachlorine
Simazine
Terbutylazine
Anilazine
Atrazine
Chlorpyrifos
Diazinon
Dichlorvos
Imidacloprid
Isoprothiolane
Malathion
Molinate
Pyridine
Simazine
Simetryn
Thiram
2,3,5-Trichloropyridine
Retention (%)
<10
<10
~20
<10
~15
95.9
94.7
78.3
88.9
82.3
80.7
~89
~83
>95
>90
>95
>95
~67
>95
>90
>95
72.8
68.4
>99.95
95.1
46.2
54.6
93.7
88.1
60.7
5.52
59.8
57.6
56.4
88.9
Reference
Berg et
al., 1997
Košutić et
al., 2005
Košutić et
al., 2002
Berg et
al., 1997
Berg et
al., 1997
Kiso et
al., 2000
405
Membrane Treatment of Potable Water for Pesticides Removal
Membrane Specifications
NTR-7450
Nitto Denko
MWCO
600-800Da
Table A. Continued
Remarks
Pesticides
Lab scale
Carbaryl (NAC)
(dead-end) Chloroneb
Chlorothalonil (TPN)
Esprocarb
Fenobucarb (BPMC)
Isoxathion
Mefenacet
Methyldymron
Propiconazole
Propyzamide
Tricyclazole
Lab scale
Atrazine
(crossflow) Diuron
Isoproturon
Simazine
Lab scale
Anilazine
(dead-end) Atrazine
Chlorpyrifos
Diazinon
Dichlorvos (DDVP)
Imidacloprid
Isoprothiolane
Malathion
Molinate
Simazine
Simetryn
Thiram
2,3,5Trichloropyridine
Lab scale
Carbaryl (NAC)
(dead-end) Chloroneb
Chlorothalonil (TPN)
Esprocarb
Fenobucarb (BPMC)
Isoxathion
Mefenacet
Methyldymron
Propiconazole
Propyzamide
Tricyclazole
Retention (%)
40.3
53.3
70.5
99.6
79.4
99.8
94.9
95.9
97.6
81.8
26.5
19.2-19.8
2.8
15.5
14.6-15.5
29.3
14.9
99.32
44.8
13.0
3.70
36.3
42.0
20.4
9.15
6.95
18.7
96.5
Reference
Kiso et al.,
2001a
23.2
98.6
69.7
98.7
14.6
99.6
90.0
32.9
72.4
16.9
1.7
Kiso et al.,
2001a
Van der
Bruggen et
al., 1998
Kiso et al.,
2000
406
Herbicides, Theory and Applications
Membrane Specifications Remarks
Lab and
pilot scale
CE 100
Spectrum
MWCO 100Da
Spectrum
MWCO 500Da
Toray
Lab scale
(dead-end)
Lab scale
(dead-end)
Lab and
pilot scale
NTR-729
HF
Nitto Denko
Lab scale
(dead-end)
NTR-729
HF
Nitto Denko
Lab scale
(dead-end)
NTR-729
HF
Nitto Denko
Lab scale
(dead-end)
CE 500
NTC-60
Table A. Continued
Pesticides
Atrazine
Diuron
Melazachlorine
Simazine
Terbutylazine
Atrazine
Retention (%)
~53
~25
~73
~45
~58
~48
Atrazine
~13
Atrazine
Diuron
Melazachlorine
Simazine
Terbutylazine
Carbaryl (NAC)
Chloroneb
Chlorothalonil(TPN)
Esprocarb
Fenobucarb (BPMC)
Isoxathion
Mefenacet
Methyldymron
Propiconazole
Propyzamide
Tricyclazole
Carbaryl (NAC)
Chloroneb
Chlorothalonil (TPN)
Esprocarb
Fenobucarb (BPMC)
Isoxathion
Mefenacet
Methyldymron
Propiconazole
Propyzamide
Tricyclazole
~90
~58
~90
~85
~93
92.4
93.9
96.1
99.94
94.8
99.84
99.1
98.4
96.9
98.6
79.6
92.4
93.9
96.1
99.94
94.8
99.84
99.1
98.4
96.9
98.6
79.6
Reference
Berg et al.,
1997
Devitt et al.,
1998a
Devitt et al.,
1998a
Berg et al.,
1997
Kiso et al.,
2001a
Kiso et al.,
2001a
Kiso et al.,
2001a
407
Membrane Treatment of Potable Water for Pesticides Removal
Membrane Specifications
NTR-7410
NTR-7410
Nitto Denko
Nitto Denko
Table A. Continued
Remarks
Pesticides
Lab scale
Anilazine
(dead-end) Atrazine
Chlorpyrifos
Diazinon
Dichlorvos (DDVP)
Imidacloprid
Isoprothiolane
Malathion
Molinate
Pyridine
Simazine
Simetryn
Thiram
2,3,5Trichloropyridine
Lab scale
Anilazine
(dead-end) Atrazine
Chlorpyrifos
Diazinon
Dichlorvos (DDVP)
Imidacloprid
Isoprothiolane
Malathion
Molinate
Simazine
Simetryn
Thiram
2,3,5Trichloropyridine
Lab scale
Carbaryl (NAC)
(dead-end) Chloroneb
Chlorothalonil (TPN)
Esprocarb
Fenobucarb (BPMC)
Lab scale
Isoxathion
(dead-end) Mefenacet
Methyldymron
Propiconazole
Propyzamide
Tricyclazole
Retention (%) Reference
99.3
Kiso et al.,
97.5
2000
>99.95
99.52
86.7
97.6
99.76
99.64
98.5
18.5
96.7
98.6
97.7
96.8
21.8
10.9
99.51
44.6
4.28
2.92
28.1
41.4
20.0
6.40
6.69
8.42
95.6
Kiso et al.,
2000
24.7
98.6
61.6
94.6
17.8
99.5
72.5
22.6
77.0
22.4
1.8
Kiso et al.,
2001a
Kiso et al.,
2001a
408
Herbicides, Theory and Applications
Membrane Specifications Remarks
UTC-20
Toray
Lab scale
MWCO 180Da (crossflow)
Lab scale
(crossflow)
UTC-60
TS80
Lab scale
(crossflow)
Lab scale
Toray
MWCO 150Da (crossflow)
TriSep Co.
MWCO
<200Da
Lab scale
(crossflow)
Lab scale
(crossflow)
Lab scale
(crossflow)
X20
TriSep Co.
MWCO
<200Da
Lab scale
(crossflow)
HNF-1
Hollow fiber
composite
membrane
Lab scale
(crossflow)
Table A. Continued
Pesticides
Atrazine
Diuron
Isoproturon
Simazine
Atrazine
Diuron
Isoproturon
Simazine
Atrazine
Simazine
Atrazine
Diuron
Isoproturon
Simazine
Atrazine
Simazine
Atrazine
MCPA
Propham
Triazimefon
Alachlor
Atraton
DEET
Metolachlor
Alachlor
Atraton
DEET
Metolachlor
Alachlor
Aldicarb
Atrazine
Methoxychlor
Metolachlor
Pirimicarb
Simazine
Thiobencarb
Retention (%)
74.3-80.4
39.7
72.3
67.2-89.2
84.2
50.0
73.0
71.4
~95
~80
83.2
49.0
79.0
71.4
~85
~75
81.2
91.2
84.3
58.1
41.8±2.8
21.7±9.4
18.1±6.2
50.5±7.9
97.3±1.4
96.9±2.7
96.1±0.9
97.2±0.6
88.7
43.2
61.4
99.2
93.9
89.9
42.2
88.7
Reference
Van der
Bruggen et
al., 1998
Berg et al.,
1997
Zhang et al.,
2004
Van der
Bruggen et
al., 2001
Zhang et al.,
2004
Košutić et al.,
2002
Comerton et
al., 2008
Comerton et
al., 2008
Kiso et al.,
2002
19
Electrochemical Oxidation of Herbicides
Sidney Aquino Neto and Adalgisa Rodrigues De Andrade
Departamento de Química, Faculdade de Filosofia Ciências e
Letras de Ribeirão Preto, University of São Paulo
Brazil
1. Introduction
Remediation of water polluted by toxic organic compounds such as herbicides, dyes,
pesticides, pharmaceuticals, detergents, among many other highly toxic compounds, even at
very low concentration, has been the subject of many investigations (Brillas et al., 2007;
Weiss et al., 2007). These organic pollutants are responsible for a lot of environmental
damage, especially when they accumulate in the environment, both in landfields and water
(Relyea, 2005). Since water contamination affects not only aquatic species, but also humans
and animals consuming it, one of the major concerns of environmentalists is the
contamination of groundwater, which receives much of the slurry containing organic
compounds. This serious situation has engaged environmental councils worldwide in the
supervision of both water consumption and infection. In Brazil, the Environmental
Sanitation Technology Company (CETESB) began to register the contaminated areas in the
state of São Paulo in 2002. The number of contaminated areas has increased continuously
over the last 8 years, reaching a total of 2500 contaminated areas in 2009. A considerable
portion of the contamination process can be attributed to the activity of oil refineries, as well
as chemical, textile and pharmaceutical industries, not to mention the large contribution
from agriculture. The worldwide growth of agricultural production has led to increased
demand for agrochemicals. The ever-growing need for food and fibers requires an
agricultural system with high productivity per cultivated area, consequently giving rise to a
situation in which the consumption of agrochemicals is escalating. In recent years, the
intensive use of herbicides has significantly increased environmental concern, mainly
because of the adverse effects of these pollutants on soil and aquatic microorganisms.
Generally, water contamination by herbicides can occur through:
•
transport from aerial or ground spraying;
•
leaching through the soil and water erosion;
•
disposal of commercial packaging;
•
cleaning of spray-contaminated tanks.
A problem of major concern is the resistance of these organic compounds to the available
wastewater treatment techniques, which culminates in lower efficiency of pollutant removal
from water streams. In the current scenery in which water resources are continuously
diminishing while both population and consumption are increasing, many research teams
worldwide have focused on alternatives and new technologies for the treatment of
410
Herbicides, Theory and Applications
persistent toxic organic compounds in the environment (Brillas et al., 2007; Comninellis,
1994). Some approaches for the treatment of these substances are available, and the main
goal is to obtain a viable process that will allow for complete removal of contaminants or at
least lead to the formation of biodegradable compounds. Several processes aim at the
degradation of organic pollutants in the environment or at least at their oxidation to less
toxic compounds. The choice of methodology involves factors related mainly to cost and
efficiency, so each method offers advantages as well as limitations. The methods currently
available for the treatment of effluent can be basically separated into two broad classes. The
first involves the classic physical-chemical treatments such as sedimentation, filtration,
centrifugation, flotation, and adsorption onto activated carbon. Although these methods
display highly efficient rates for the removal of contaminants, they consist of phase-transfer
process, i. e., further disposal is required after treatment, which is a major drawback In the
second class are the oxidative methods, i. e., methods in which there is not only pollutant
phase-transfer, but also its oxidation to inert compounds. Nowadays, the majority of
industries generating large amounts of effluent opt for remediation using biological
treatment, since it is relatively inexpensive. However, its degradation kinetics is very slow;
limiting its action to compounds with low toxicity and effluents with low concentration of
contaminants (Freire et al., 2000). Because conventional chemical and biological methods are
no longer efficient due to the resistance gained by many compounds to wastewater
treatment, some approaches for the treatment of toxic organic materials that will remove or
convert these pollutants to biodegradable compounds have been developed.
Electrochemical (Comninellis, 1994), electro-Fenton (Sires et al., 2007), ozonation (Canizares
et al., 2007), Fenton, and photo-Fenton (Brillas et al., 2007) processes have been frequently
proposed for the treatment of organic pollutants. Regardless of the selected methodology,
the generation of high oxidative species such as hydroxyl radical (Eo = 2.80 V vs. SCE) must
take place, in order to ensure elimination of the toxic organic compound. Table 1 shows the
generation of hydroxyl radical in the most common advanced oxidation technologies
investigated to date (Martínez-Huillé & Brillas, 2009).
Tecnique
•OH production
Electrochemical
MOx + H2O → MOx(•OH) + H+ + e-
Fenton reaction, electro-fenton, and
photoelectro-fenton
H2O2 + Fe(II) → •OH + Fe(III)
Photocatalysis
TiO2 + hυ → TiO2(h + e)
TiO2(h) + OH- → •OH
UV-peroxide
H2O2 + hυ → 2•OH
Sonolysis
H2O + ))) → •OH + •H
Radiolysis
H2O + γ → eaq,•OH, •H
Table 1. Mechanism of generation of hydroxyl radical in the most common advanced
oxidation technologies
Electrochemical Oxidation of Herbicides
411
2. Electrochemical treatment of organic pollutants
2.1 Electrochemical process for organic mineralization
The concern about the increasing environmental contamination, which consequently affects
water quality, forces the development of many alternatives for the treatment of organic
pollutants. In this context, electrochemical processes have always been claimed to be an
attractive approach due to their versatility, easier operation, effectiveness, and lower cost
(Gandini et al., 2000). The efficiency of the electrochemical process depends on many factors;
however, the main focus is placed on electrode activity and lifetime and, consequently, on
the electrode material. Besides catalytic activity, the choice of electrode material will also
consider characteristics such as mechanical strength, physical and chemical stability under
drastic operational conditions (high current density and high potential), and cost. Metallic
oxide electrodes containing RuO2 have been widely employed in environmental
electrochemistry because of their mechanical resistance, inexpensiveness, and successful
scale-up in the electrochemical industry. Apart from leading to chloro-alkali production,
dimensionally stable anode (DSA®) electrodes are also a good alternative to the oxidation of
various organic compounds (Trasatti, 2000). Another material good candidate material for
the electrochemical oxidation of organic compounds is the boron-doped diamond (BDD),
because of its generally large potential window and feasibility of the produced hydroxyl
radicals (Panizza et al., 2008b). Although the BDD electrode is an extremely efficient
material for organic mineralization, its use in large-scale operational conditions is still
limited due to the high cost of BDD production.
2.2 DSA® electrodes
The metallic oxide electrodes introduced by Beer in 1966 consist of an inert metal support
coated with noble metal oxides such as RuO2 and IrO2. In addition to the noble metal oxides,
oxide electrodes also contain the so-called modulators, which are oxides such as SnO2, TiO2,
Ta2O5, and PbO2, whose function is to enhance the electrochemical characteristics related to
electrode lifetime, mechanical stability, and catalytic activity, not to mention cost reduction.
Electrode preparation is usually performed by thermal decomposition of the precursor’s
salts, which are then deposited onto an inert support material (titanium is the most
commonly employed material for this purpose, due to its relatively low cost). There are
several studies focusing on the use of oxide electrodes in the electrochemical degradation of
toxic organic compounds. These materials have been shown to display excellent catalytic
activity, resistance to corrosion, dimensional stability, high electrochemically active area,
low maintenance cost, and low power consumption (Trasatti, 2000). Moreover, the use of
DSA® with photoactive surface enables accomplishment of heterogeneous photocatalysis
(Pelegrini et al., 1999). The mechanism of organic compound oxidation by electrochemical
processes, as described by Comninellis (1994), can occur directly at anodes through
generation of physically adsorbed hydroxyl radicals (Eq. 1). These processes may ultimately
result in fully oxidized reaction products such as CO2 (Kapałka et al., 2008). The •OH
radical undergoes a fast reaction to form higher oxide (Eq. 3) on DSA-type anodes.
Although this mechanism has been proposed long ago, only recently has experimental
evidence from Electrochemical Differential Mass Spectroscopy been able to confirm
participation of the higher oxide species (Fierro et al., 2007)
MOx + H2O → MOx(•OH) + H+ + e-
(1)
412
Herbicides, Theory and Applications
R + MOx(•OH) → CO2 + inorganic ions + MOx + H+ + e-
(2)
MOx(•OH) → MOx+1 + H+ e-
(3)
It is well known that the higher oxide species (MOX+1) are much milder oxidants than the
weakly bound radical formed in reaction 1. However, many modifications to material
design, such as preparation methodology and changes in the modulator oxide have been
introduced, in order to enhance the catalytic activity of the electrode material. The oxygen
evolution reaction (OER) is an undesirable side reaction responsible for the lower current
efficiency of organic compound oxidation during the electrochemical process. The
mechanism proposed for this reaction involves the discharge of water molecules at the metal
oxide surface (Eq. 1). Depending on the characteristic of the anode material, oxygen
evolution proceeds via two different pathways: oxidation of weakly adsorbed hydroxyl
radicals (Eq. 4) or formation of the higher oxide followed by oxygen evolution (Eq. 5 and 6).
MOx(•OH) → MOx + ½O2 + H+ + e-
(4)
MOx(•OH) → MOx+1 + H+ + e-
(5)
MOx+1 → ½O2 + MOx
(6)
In order to increase the oxidation rate of DSA-kind materials, electrochemical remediation
frequently calls for more powerful oxidizing conditions as well as electrogeneration of large
amounts of hydroxyl radical or other oxidizing species such as Cl2, ClO-, or O3. These
requirements can be met by changing the electrode material (SnO2, PbO2, BDD) or the
supporting electrolyte (SE).
2.3 Electrolysis in chloride media and formation of organochlorinated compounds
Knowing that electrochemical remediation seeks more powerful oxidizing conditions, the
electrolysis in chloride medium is a good alternative when more efficienty organic
compound oxidation is desirable. NaCl is one of the most attractive media in the field of
indirect oxidation owing to its straightforward impact on electrochemical technology. Oxide
electrodes such as DSA® anodes are very active for Cl2 evolution, so many studies have
reported on quite advantageous features concerning the use of this medium in the oxidation
of organic pollutants. Considering the standpoint of thermodynamics, electrolysis in
chloride medium should favor OER in detriment of chlorine evolution reaction (ClER), since
the reversible thermodynamic potential for oxygen evolution (1.23 V) is below the potential
for ClER (1.36 V ). However, the kinectics of ClER is favoured for DSA-type materials and,
in practice, it occurs at lower overpotential. As described in the literature, the mechanism of
ClER on metal oxide electrodes proceeds as follows (Trasatti, 1987):
2Cl- ' Cl2(el) + 2e-
(7)
Cl2(el) ' Cl2(sol)
(8)
Adsorbed chlorine, Cl2(el), will form free species in solution, Cl2(sol), which will further react
to form reactive species such as hypochlorous acid (HClO) and hypochlorite (ClO-), which
are responsible for faster organic compound degradation:
Cl2(sol) + H2O → HClO + Cl- + H+
(9)
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Electrochemical Oxidation of Herbicides
HClO ' H+ + ClO-
(10)
Nevertheless, despite its several advantages, besides promoting faster oxidation of the
organic compound (Eq. 11), electrolysis in chloride medium also enables formation of
organochlorine compounds (RCl), as seen in Eq. 12:
ClO-(sol) + R → CO2 + inorganic ions + H+ + e-
(11)
ClO-(sol) + RCl → R
(12)
The main concern of different groups is that the presence of a C─Cl bond affects the
chemical properties of the organic compound and therefore its toxicological behavior. In
general, the introduction of chlorine in the organic molecule increases the chemical and
biological reactivity of the chlorinated compound, thereby significantly enhancing the
toxicity of these substances. Due to their high reactivity, these compounds usually have
large lipophilicity, favoring interactions with enzymes and promoting biotransformations,
for example. Furthermore, organochlorine compounds display several genotoxic effects
depending on the chemical structure of the generated compound. Some literature studies
have also shown that these compounds are responsible for different mutagenic and
carcinogenic effects (Henschler, 1994). Nevertheless, the formation of organochloride species
in solution during electrolysis in chloride medium has not received much attention; in fact,
only a few studies have investigated the influence of experimental parameters on the
formation of RCl compounds (Comninellis & Nerini, 1995). In this context, the possible
formation of RCl during electrolysis makes the determination and evaluation of these
compounds extremely important, mainly when electrolysis in chlorine medium is proposed
as an alternative route for wastewater treatment. On the basis of the large number of
literature papers focusing on the electrochemical degradation of herbicides, we are going to
present the results on the degradation profile of different herbicides. Based on the results
obtained by our research group, we will also focus on data regarding the electrochemical
degradation of the glyphosate herbicide (GH) (Aquino Neto & De Andrade, 2009a; Aquino
Neto & De Andrade, 2009b). Regarding the electrochemical oxidation behavior of GH, we
are willing to discuss the performance of the RuO2-based anode. Moreover, the effect of
different parameters such as SE, pH, and current density on electrode activity will be
presented. It is known that metallic oxide electrodes display good performance for the
anodic mineralization of organic pollutants in chloride medium; however, the formation of
organochloride compounds during electrolysis in the latter medium has not received much
attention, since just a few reports have investigated the influence of this parameter. For this
reason, a full discussion regarding the formation of these toxic species will be presented
here. Besides the standard sample degradation behavior, the oxidation of commercial GH
formulation will also be discussed. Finally, the very recent literature focusing on the
degradation of different herbicides will be presented.
3. Glyphosate contamination
In recent years, the intensive use of herbicides has increased environmental concern, partly
because of the adverse effects of these chemicals on soil and aquatic microorganisms (Farah
et al., 2004). One of the most commonly employed agrochemicals is glyphosate (Fig. 1). N(phosphonomethyl) glycine is a highly effective broad-spectrum, post-emergence, non-
414
Herbicides, Theory and Applications
selective herbicide widely used in agriculture worldwide (De Amarante et al., 2002). GH is
highly soluble in water (12 g L-1 at 25 ºC), and it is currently utilized in more than 30 types of
crops, to control a wide variety of annual weeds, mainly in the case of sugarcane and
soybean plantations.
Fig. 1. Chemical structure of GH.
GH is commercialized as an isopropylamine salt. Formulations found in the market
generally contain surfactants, to prevent formation of drops and to reach larger sprayed
areas. Some of these components are serious irritants and toxic to fish; moreover, the
commercial formulations display more toxicity and are more persistent than the active
ingredient. The most common commercial formulations contain surfactants based on
ethylamine alone, which is significantly more dangerous than GH itself and very toxic for
invertebrates and fish (De Amarante et al., 2002). The half-life of the commercial
formulations is relatively long, about 7-70 days (Giesy et al., 2000). According to resolution
375 of the National Brazilian Environmental Council (CONAMA), the maximum value
allowed for GH in sweet water is 0.280 mg L-1. The US Environmental Protection Agency
also classifies GH as "extremely persistent". The main reason for the widespread use of this
chemical worldwide is its relatively low toxicity to humans and animals. However, despite
low toxicity, its quick biodegradation to the main metabolite aminomethylphosphonic acid
(AMPA) is a matter of concern because this compound is considered more toxic and
persistent than the original herbicide (Williams et al., 2000). Increased use of GH is expected
due to the development of transgenic plants tolerant to this compound (Owen & Zelaya,
2005). Even though commercial GH formulations are considered to have low toxicity, there
are evidences of noxious effects on the environment after its prolonged use, mainly because
of the resistance gained by the annual weeds. In this context, the exposure of non-target
aquatic organisms to this herbicide is the concern of many ecotoxicologists. Several in vivo
and in vitro studies on animals have revealed the mutagenic and carcinogenic effect of GH
(Lin & Garry, 2000) as well as its impact on the environment and aquatic life (Tsui & Chu,
2003). Some studies conducted with GH commercial formulations have demonstrated the
potential toxicity of these formulations to the environment. Electron microscopy studies on
fish of the Cyprinus carpio species have shown that this herbicide causes disruption of the
inner mitochondrial membrane (Tsui & Chu, 2003). Another investigation has pointed out
that some formulations are largely responsible for the toxicity in the energy levels of
mitochondrial oxidative phosphorylation in rat livers (Peixoto, 2005). Due to the great
concern about GH contamination, many studies have focused on degradation of this
compound. Shifu and Yunzhang (2007) have reported the photocatalytic degradation of GH
using TiO2 as photocatalyst and a mercury lamp of 375 W, with the concentration of
herbicide being maintained at 42 mg L-1. The results showed that 92% GH were mineralized
after 3.5 h of illumination. Chen et al. (2007) have investigated the photodegradation of GH
in a system using ferrioxalate as Fe2+ source, a metal halide lamp of 250 W, and a constant
concentration of GH of 5 mg L-1. The efficiency of GH mineralization reached values around
Electrochemical Oxidation of Herbicides
415
60%. Barret & Mcbride (2005) have evaluated the oxidative degradation of GH on
manganese oxide. There was no significant herbicide degradation (10 mg L-1), and much of
the herbicide simply adsorbed onto the manganese oxide. Huston & Pignatello (1999) have
investigated the degradation of several active ingredients of pesticides as well as several
commercial herbicides formulations via photo-Fenton reaction. The experiments were carried
out in a solution containing 10-5 mol L-1 Fe (III) and 10-2 mol L-1 H2O2, and the initial GH
concentration was 33 mg L-1. A reactor with 16 black light lamps of 14 W was employed, and
the results showed that 35% GH were mineralized after 2h of irradiation. Castro et al. (2007)
have examined the biodegradation of GH (500 mg L-1) using the Fusari fungus. Efficiency of
removal of the active principle reached values around 40%. Speth (1993) investigated different
processes for GH removal from drinking water, such as adsorption onto activated carbon at
various pH values, as well as the efficiency of different oxidants for GH degradation. The
initial amount of treated herbicide was 1.75 mg L-1. Adsorption of the herbicide on activated
carbon proved to be quite high. Results from treatment by coagulation, sedimentation, and
sand filtration revealed a removal efficiency of 7% only. Degradation with chlorine led to
higher efficiency, with almost complete removal of the contaminant. Munner and Boxall (2008)
have investigated the photocatalytic degradation of GH in TiO2 suspension with 12 black
lamps of 15 W, using initial concentration of GH equal to 170 mg L-1. Good degradation rates
were achieved, and 90% GH removal was observed. Bazot and Lebeau (2008) have evaluated
the efficiency of GH oxidation using the bacterium Pseudomonas 4ASW. The initial
concentration of GH was 80 mg L-1, and 80% of active ingredient removal was obtained after
80 h of treatment. In this chapter, results from the electrochemical degradation of GH using
oxide electrodes obtained by our research group will be presented.
4. Experimental procedures
4.1 Preparation of DSA® electrodes
The choice of a methodology for the preparation of DSA® electrodes is very important, since
the final properties and characteristics of the electrode are highly dependent on the method
of preparation. The preparation techniques aim at films with adequate mechanical stability
as well as oxide mixtures with high catalytic activity. The methodology usually employed in
the preparation of oxide electrodes with greater stability is the thermal decomposition of
suitable precursors. This procedure consists of successive steps in which thin layers of the
precursor solutions are applied onto the inert support, followed by calcination at elevated
temperatures (T > 400 °C) and appropriate O2 flow (Trasatti & Lodi, 1981). Several methods
for the production of oxide electrodes are found in the literature: the thermal decomposition
of chlorides (traditional methodology; Beer, 1966), spray-pyrolysis method (De Battisti et al.,
1997), the sol-gel method (Diaz-Flores et al., 2003), and the thermal decomposition of
polymeric precursors (also known as Pechini method, Pechini, 1967). The traditional method
is still the most frequently employed. It consists of the thermal decomposition of inorganic
precursors, usually employed in the form of chlorides. The traditional method has been
adopted since the 60 s, and has been used in the preparation of several films in various
areas. In this methodology, the deposition of thin layers of the precursor salt solutions
(usually chlorides of the desired metals in a solution of HCl and water 1:1) occurs via
brushing or dipping into the precusor solution (dip-coating method). After this step, the
supports are calcined at high temperatures (usually above 400 °C), to obtain the respective
metal oxides. The great advantage of this method is the easy preparation, prompt
416
Herbicides, Theory and Applications
availability, and relatively lower cost of the employed salts. The main feature of the films
obtained by this kind of preparation is the "mud-cracked" morphology (Trasatti & Lodi,
1981). Recent work employing the traditional method using isopropanol as solvent instead
of an acid solution has also furnished very promising results, since the films displayed
excellent mechanical stability and catalytic activity (Coteiro & De Andrade, 2007). Another
more recent method of preparation is the thermal decomposition of polymeric precursors. In
this method, the formed polymeric resin "captures" the metal atoms, which provides better
control of both stoichiometry and particle size (Pechini, 1967). Because the polymer is
formed before the calcination process, metallic atoms such as tin are trapped in this matrix,
thereby avoiding evaporation and consequent losses, and enabling production of films with
better handled composition. Film deposition on the inert support material occurs in the
same way as in the case of the traditional methodology, with the difference that a polyester
is initially formed. Preparation of oxide electrodes by this methodology has been shown to
provide uniform films with more homogeneous surfaces. Moreover, the decomposition of
polymeric precursors culminates in largely reduced particle size, thus furnishing materials
with high surface area. These features make this a promising method for the preparation of
oxide films, with potential application in different scientific areas (Santos et al., 2005).
4.2 Electrolytic system and electrodes
The results from GH degradation presented in this chapter were obtained using the
experimental conditions described below. The electrochemical measurements were
conducted in an open system, using a three-compartment electrolytic cell consisting of a
main body (50 mL
solution) and two smaller compartments containing the
counterelectrodes, which were isolated from the main body by coarse glass frits. The
electrolyses experiments were accomplished in the galvanostatic mode, under magnetic
stirring. Electrochemical experiments (cyclic voltammetry and galvanostatic electrolyses)
were performed using a potentiostat/galvanostat Autolab, mode SPGSTAT30. All
experiments were carried out at 25 ± 1 ºC. The working anodes were 2 cm2 large and were
prepared by thermal decomposition. The precursor mixtures were applied on both sides of
the pre-treated Ti support by brushing, as described in previous works (Coteiro & De
Andrade, 2007; Aquino Neto & De Andrade, 2009a). For the electrochemical oxidation of
GH, the composition Ti/Ru0.30Ti0.70O2 was employed. Details about the preparation,
methodologies, and the physical and electrochemical characterization of the anode are given
elsewhere (Aquino Neto & De Andrade, 2009a). Two spiraled platinized platinum wires (15
cm), placed parallel to each other, were used as counterelectrodes. All potentials are referred
to the saturated calomel electrode (SCE). H2SO4 and NaOH were employed to adjust the pH
values of the solutions. In all experiments, the ionic strength was kept constant (μ = 1.5) by
adjusting the Na2SO4 and NaCl concentrations. Solutions were prepared with high-purity
water from a Millipore Milli-Q system, and pH measurements were carried out with a pH
electrode coupled to a Qualxtron model 8010 pH meter.
4.3 Quantification of glyphosate
The chemical structure of GH does not display a chromophore group, so spectroscopic
determinations have to be performed only after its derivatization reaction. Hereafter, two
different derivatization reactions for GH determination were used. The first derivatization
consisted of the reaction of ninhydrin in the presence of the Na2MoO4 catalyst at 100 ºC
Electrochemical Oxidation of Herbicides
417
(Bhaskara & Nagaraja, 2006), which produces the Ruhemann´s purple product with a
maximum absorption at 570 nm (Fig. 2A). GH degradation was also followed by nitrosation
reaction in acidic media (Food and agriculture organization of the United Nations, 2001),
which produces a UV spectrophotometrically active compound at 243 nm (Fig. 2B).
Fig. 2. Derivatization reaction of GH with ninhydrin produces the Ruhemann´s purple
product with a maximum absorption at 570 nm (A). Nitrosation reaction of GH in acidic
media produces a UV spectrophotometrically active compound at 243 nm (B)
As depicted in Fig. 3, both spectrophotometric methods (ninhydrin and nitrosation) give
exactly the same degradation rate, indicating the good accuracy of the proposed methods.
Therefore, from now on all the results presented here will be related to the determination
using the nitrosation reaction, which is simple and employs readily available materials.
Fig. 3. GH removal as a function of both derivatizations reactions employed after 4
electrolysis at 50 mA cm-2, μ = 1.5 (Na2SO4 + NaCl, pH = 3)
As shown in Eq. 13, GH total oxidation produces PO4-3 ions as one of the final degradation
products. For this reason, the PO4-3 release rate is a good indication of complete GH
degradation. Its determination can be easily performed colorimetrically by the molybdenum
blue method, according to the standard method (American Public Health Association, 1998).
C3H8O5NP + 8H2O → 3CO2 + PO4-3 + NO-3 + 24H+ + 20e-
(13)
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Herbicides, Theory and Applications
For analysis of GH total combustion, both chemical oxygen demand (COD) and total
organic carbon (TOC) were also performed after electrolysis.
4.4 Organochlorine analysis
The amount of adsorbable organic halide (AOX) encountered in water samples is generally
very low; for this reason, the analytical procedures involve a pre-analytical step for sample
concentration. To this end, the constituents are loaded onto activated charcoal before the
assay or, in the case of organic material extraction from mud, organic solvents are
employed. To convert the AOX compounds into an analyzable form, the dissolved organic
material is initially concentrated via adsorption onto activated charcoal. Then, nitrate ions
are added to the mixture, to eliminate the inorganic chloride also adsorbed onto the
activated charcoal by competition. Next, the "loaded" activated charcoal containing the
sample is burned in a furnace at ~ 950 º C; in this step, hydrogen halides, carbon dioxide,
and water are formed. After drying of the generated gases, the halides are determined by
microcoulometry, which involves a process that occurs in acetic acid medium according to
the following equation:
Ag+ + X- → AgX
(14)
The silver ions used for the precipitation of the halides are electrolytically generated at the
silver anode. After quantitative conversion of the halide, concentration of the silver ions in
the electrolyte increases indicating the the end point of the titration, as determined by a pair
of polarized indicators electrodes. The amount of halide present in the sample is then
measured using Faraday's law. AOX analysis during the electrochemical oxidation of GH
was performed by means of the multi X 2000 analyzer (Analytik Jena, Germany) and the
shaking method. This equipment allows for the direct determination of organochlorinated
compounds adsorbed previously onto activated carbon from an aqueous solution containing
AOX over 10 µg L-1. However, the sample should meet the following criteria prior to the
analysis:
•
TOC should be less than 10 mg L-1;
•
The amount of inorganic chloride should be less than 1 g L-1;
•
Oxidant species wastes (ClO3-, Cl2 etc.) must be removed by addition of the proper
amount of sodium sulfite.
All experiments were performed at 25 ± 1 º C, and the results are presented as the average of
triplicate measurements.
5. Results of herbicides degradation
5.1 Electrochemical oxidation of the GH herbicide
We began our investigation by carrying out the electrochemical oxidation of an standard
GH sample. Once the most efficienty electrolysis conditions had been established, the
electrooxidation of a commercial formulation (Roundup®) was also investigated. Cyclic
voltammograms in both the absence and presence of GH were conducted. Electrochemical
characterization showed that GH is not electroactive in the potential window 0.2 -1.2 V vs.
SCE, so its oxidation hindered by OER. This is a very common characteristic of DSA-type
anodes once they are very active for OER and this reaction occurs simultaneously with the
oxidation of organic compounds in aqueous medium. The competition between the
419
Electrochemical Oxidation of Herbicides
oxidation of the organic compound and OER is responsible for a significant reduction in the
efficiency of the electrochemical process (Aquino Neto & De Andrade, 2009a).
Establishment of the best degradation conditions
Aiming at finding the best conditions for the electrolysis, the preliminary stage of the
investigation consisted of selecting the most suitable experimental setup, so that the highest
rate possible of electrochemical degradation would occur. In this step, the evaluation of pH,
current density, and supporting electrolyte should be performed. There are many ways to
measure the real efficiency of a treatment technology. In general, both energy consumption
and organic combustion are evaluated. An easy way for judging the performance of DSA®
anodes in electrochemical degradation studies is to determinate the current that is
effectively used for oxidation of the organic compound. The instantaneous current efficiency
(ICE) is obtained considering that during electrochemical incineration two parallel reactions
(organic compound oxidation and OER) takes place. So, ICE is defined as the current
fraction used for the organic oxidation (Comninellis & Pulgarin, 1991; Pacheco et al., 2007)
and was calculated considering the values of chemical oxygen demand (COD) of the
wastewater before and after the electrolysis, using the relation
ECI=
FV [(DQO)t -(DQO)t+Δt ]
,
8I
Δt
(15)
where F is the Faraday constant (C mol-1), V is the volume of the electrolyte (m3), I is the
applied current (A), and (COD)t and (COD)t + ∆t are the chemical oxygen demand (g O2 m-3)
at times t and t + ∆t (s), respectively.
After 4h of electrolysis at a constant current density of 50 mA cm-2 in Na2SO4 medium, 24%
of the starting material (1000 mg L-1) was oxidized, and the mineralization rate reached c.a.
16%. When one compares this value with the rate reported for the degradation of phenol
(Comninellis & Pulgarin, 1991), which is a compound generally referred as a model for
organic degradation, we can confirm the recalcitrant behavior of herbicides in aqueous
solution. Due to the low degradation rate of GH, the ICE in these conditions was very low,
less than 5 %, indicating that OER is an important side reaction in the electrochemical
process. The difference between the data obtained from spectrophotometric methods (24%)
and TOC removal (16 %) has been explained by us previously (Aquino Neto & De Andrade,
2009a) and is related to the formation of recalcitrant intermediate products such as AMPA
(metabolite aminomethylphosphonic acid) and sarcosine (n-methylglycine).
To understande the degrability of GH as a function of time, long-term electrolyses (12 h in
Na2SO4 medium, pH 3, at 50 mA cm-2) were performed. The results of GH degradation as a
function o time showed that after 12 h of electrolysis only 43 % GH had been oxidized. In
order to improve the degradation rate, pH and concentration effects must be investigated.
The best results for the electrochemical oxidation of GH were found in acidic medium
(Aquino Neto & De Andrade, 2009a). The low oxidation rates obtained in Na2SO4 medium
can be explained by the general mechanism of organic compound oxidation (Comninellis,
1994). Briefly, the oxidation power of the anode is directly related to the overpotential for
oxygen evolution. For DSA-like anodes, the •OH radicals strongly bind to the surface,
eventually leading to the indirect oxidation of organics via formation/decomposition of an
oxide of higher valence (De Oliveira et al., 2008). In order to increase the oxidation rate of
DSA-kind materials, different approaches have been proposed in the literature, such as the
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Herbicides, Theory and Applications
use of PbO2 (Cestarolli & De Andrade, 2003; Aquino et al., 2010; Panizza et al., 2008a) and
BDD (Panizza et al., 2008b), and changes in the supporting electrolyte (Aquino Neto & De
Andrade, 2009b).
Electrolysis in chloride medium
The electrolyses in chloride medium were performed as a function of chloride concentration.
The assays were carried by varying the amount of chloride from 200 to 3500 mg L-1. An
increase in the initial concentration of chloride ion leads to a significant enhancement in the
rate of the oxidation reaction. In the case of GH oxidation, there is an increase of 42% PO4-3
release and 53% GH removal even at a very low NaCl concentration (220 mg L-1). When a
high concentration of chloride ions is employed (1000 mg L-1), over 80% PO4-3 release is
obtained (Aquino Neto & De Andrade, 2009b). It is noteworthy that as the medium becomes
more active toward organic compound oxidation, as in the case of chloride medium, there is
no significant influence of the anode composition or current density on the oxidation rate.
Therefore, one can improve the electrolysis by changing the supporting electrolyte, which
culminates in less drastic conditions. This procedure offers two main advantages, namely a
decrease in total energy consumption and maximized oxidation rate and larger electrode
lifetime, which both contribute to diminishing the cost of the electrolytic system. Figure 4
shows the electrochemical oxidation profile of standard GH and of a commercial
formulation of this herbicide as a function of time.
Fig. 4. Linearized removal (A) and COD removal (B) as a function of electrolysis time.
Electrode composition Ti/Ru0.30Ti0.70O2, i = 30 mA cm-2, [Cl-] = 2662 mg L-1, μ = 1.5 (Na2SO4
+ NaCl, pH 3). ■ = standard GH sample; ● = commercial GH formulation
The kinetic data reveal a complex oxidation profile. This behavior can be explained
considering the competition between the oxidation of the starting material and of the
byproducts formed within the first minutes of electrolysis. However, a linear decay is
obtained within the first 60 min of electrolysis, as depicted in Fig. 4A and Fig. 4B. A pseudo
first-order kinetic behavior is achieved, so assuming that this is the case in the first 60 min
(Pelegrino et al., 2002), the oxidation rate can be written as:
dC(t)/dt = -kC(t)
(16)
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Electrochemical Oxidation of Herbicides
C(t) = C(0) e-kt ,
(17)
where C(0) corresponds to the initial GH concentration and k is the constant of velocity of
GH oxidation. The k value is obtained by the following equation:
kHG = k V/A,
(18)
where V is the solution volume (m3) and A is the electrode area (m2). In the same way, the
kinetic constant for COD removal was obtained. Table 2 summarizes the kinetic constants
for standard GH and its commercial formulation:
Herbicide
GH commercial formulation
GH standard sample
k GH / 10-3 m s-1
3.48 ± 0.10
5.75 ± 0.11
k COD / 10-3 m s-1
2.40 ± 0.12
1.37 ± 0.15
Table 2. Kinetic constants of standard GH and its commercial formulation for the first 60
min of electrolysis. Composition Ti/Ir0,30Sn0.70O2, i = 30 mA cm-2, [Cl-] = 2662 mg L-1, μ = 1.5
(Na2SO4 + NaCl, pH 3)
Data from Table 2 demonstrate the higher oxidation rate of the active ingredient in relation
to its commercial formulation (the kinetic constant is 1.6 times larger). Considering the COD
decay, the commercial formulation displays the largest kinetic constant, because of the
higher organic load of commercial formulations, which, apart from the active ingredient,
present “inert compounds” such as carriers, wetting agents, antifreezes, and other
compounds employed to facilitate handling and application. Most of the components of
commercial formulations are surfactants that increase the spreading and the penetration
power. Taking into account the kinetic data it can be inferred that these compounds are
much less recalcitrant than the active principle. Also, these data provide some interesting
information concerning GH oxidation compared to the electrochemical oxidation of other
organic compounds. The kCOD values of GH presented here are far superior to the ones
found for the electrochemical oxidation of phenols (Coteiro & De Andrade, 2007)
particularly, 4-chlorophenol (Alves et al., 2004). It is clear that some experimental conditions
must also be considered, in order to evaluate the real efficiency of the electrode material.
However, the data presented here demonstrate that the electrochemical process is really
satisfactory for the treatment of organic pollutants in chloride medium. Finally, the anodic
mineralization of organic pollutants in chloride medium perhaps may open the possibility
of using DSA-type materials under mild oxidation conditions for the treatment of organic
waste in water.
5.2 Study of AOX formation
As reported before in an early investigation (Aquino Neto & De Andrade, 2009b), the
electrode material has a great effect on the amount of organic chloride species formed along
of the electrolysis. The choice of material depends on the structure and complexity of the
sample to be electrolyzed. For this reason, we cannot make a straightforward generalization
for the best electrode material. However, our investigation has pointed
Ti/(RuO2)0.70(Ta2O5)0.30 or Ti/Ru0.30Sn0.70O2 as compositions displaying longer lifetime and
environmental friendly electrode composition (Aquino Neto & De Andrade, 2009b). The
results also showed that an increase in the applied current leads to an increase in the
amount of ClO- (Eq. 10), so the yields of AOX species are enhanced. The AOX formation
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Herbicides, Theory and Applications
behavior is exponential in the case of commercial formulations. For the standard sample, the
formation of organochloride compounds during electrolysis increases almost linearly with
the applied current, and the AOX concentration remains below the allowed values almost in
the entire investigated current window. Although some papers have shown that once the
R─Cl compound is formed, it is quickly consumed before the end of the electrolysis, giving
a volcano type curve (Comninellis & Nerini, 1995; Rajkumar et al., 2005), the results of AOX
formation as a function of time reported by our research group reveal a different behavior
for AOX formation. Even in the case of long-term electrolysis (14 h), there still is a mild
increase in the production of organochloride compounds. These results may be attributed to
the lower quantity of AOX compounds formed along the electrolysis, compared with results
found elsewhere (Comninellis & Nerini, 1995). These data may be understood by
considering the competition between the degradation of the generated AOX species and the
organic compounds present in the solution. Although the formation of AOX is faster in the
beginning of the electrolysis, the quantity formed within the first hours of treatment is very
low compared with the remaining organic load. For this reason, an ascending behavior of
AOX formation is observed for the entire investigated time window (Aquino Neto & De
Andrade, 2009b). Finally, the results of AOX formation as a function of many experimental
parameters show that the formation of organochloride compounds is straightly related with
factors like chloride concentration, anode material, and current density, among others. For
this reason, it is very important that these parameters are carefully evaluated when an
alternative treatment that allows the formation of this species in solution is proposed.
6. Electrochemical oxidation of different formulations
A reduced number of papers deal with the oxidation of herbicides using electrochemical
methods; indeed, the majority of the works focuses on photochemical processes. However, a
literature search reveals that there is increased interest in the former subject. Table 3 lists the
latest papers dealing with the electrochemical degradation/treatment of herbicides. Studies
of Diuron photocatalytic degradation show that the herbicide mineralization rate reaches
almost 97% after 8 hours of irradiation with light of 280nm. Studies combining photo-Fenton
treatment afford 82.5% COD removal from wastewater generated by the sugarcane industry
(Katsumata et al., 2009). Recently, Oturan et al. (2010) have used the electro-Fenton process
to oxidize a group of phenylurea herbicides. The results showed that the degradation rate
increases with the number of chlorine groups, being Diuron the most reactive herbicide. The
authors observed that even with pronounced COD reduction, the treatment in mild
conditions also produces several aromatic byproducts (Oturan et al., 2010). An interesting
approach involving combination of biological and electrochemical oxidation processes has
been proposed by Liu et al. (2010). They showed that the open ring byproducts formed
during the electrochemical process can maintain the activity of microorganisms on a
biofilter, consequently enhancing the activity of the process. A comparison between
different electrochemical methods has been reported by Yatmaz & Uzman (2009), who used
organophosphorus pesticides as a model compound. The authors claimed that the
degradation of the pesticides proceeds with the following decreasing selectivity: indirect
electrooxidation processes using Ti electrodes > electrocoagulation using Fe electrodes >
electro-Fenton process using Fe electrodes. The herbicide Alachlor is also frequently
investigated as a model of chloroacetamide compounds. A variety of effective techniques for
the treatment of effluents containing alachlor are available. Herbicides such as 2,4-D have
423
Electrochemical Oxidation of Herbicides
been efficiently degraded by several advanced oxidation processes in which the oxidizing
hydroxyl radical (•OH) is produced by chemical, photochemical, and photocatalytic
systems, such as H2O2/Fe+2. Alternative procedures such as anodic oxidation and
electrochemical methods with indirect electro-oxidation by generation of H2O2 are also
employed for 2,4-DP removal from water (Brillas et al., 2007). Badellino et al. (2007) have
studied the degradation of 2,4-DP in an electrochemical flow reactor with generation of
H2O2 and Fenton's reagent, and obtained open ring acids as the main final products.
Herbicide
Desethyl atrazine and desethyl
terbutylazine
Ethylene thiourea
Methodology
Electrochemical
reduction
Electrochemical and
Fenton treatment
Reference
Colombini et al.,
1998
Saltmiras &
Lemley, 2000
Wang & Lemley,
2001
2,4-D (2,4-dichlorophenoxyacetic acid)
Electro-Fenton
S-Triazine
Electrochemical
reduction
Galvin et al., 2001
Photoelectro-Fenton
Aaron & Oturan,
2001
Electron-Fenton e BDD
Brillas et al., 2004
Bendiocarb, pirimiphos-methyl,
coumatetralyl and chlorophacinon
Phenoxyacetic acid (4chlorophenoxyacetic acid (4-CPA), 4chloro-2-methylphenoxyacetic acid
(MCPA)
Thiocarbamate herbicides
2,4-DP (2-(2,4-dichlorophenoxy)propionic acid)
2,4-DP (2-(2,4-dichlorophenoxy)propionic acid)
Atrazine
Organophosphorus pesticides
Diuron and fenuron
Electroflotation,
Electrochemical and
photocatalytic
Electrochemical reactor
for H2O2 and Fe
production
Electro-Fenton
Electrochemical
oxidation Ti/β-PbO2
Electrochemical,
electron-Fenton and
electrocoagulation
Electro-Fenton
Mogyorody, 2006
Badellino et al.,
2007
Brillas et al., 2007
Vera et al., 2009
Yatmaz &
Uzman, 2009
Oturan et al., 2010
Table 3. Latest papers dealing with the electrochemical degradation/treatment of herbicides
7. Conclusion and perspectives on the electrooxidation of toxic organic
compounds
The electrochemical technology is potentially useful for the treatment of organic pollutants.
Some important features such as easy automation, rare need for addition of reagents,
robustness, versatility, and operation at mild temperatures make this technique quite
424
Herbicides, Theory and Applications
promising for wastewater decontamination. Although several studies have focused on the
use of phenolic intermediates, it can also be noted that the number of papers proposing
electrochemical treatment of herbicide is still modest. In this scenery, electrochemical
treatment using Fenton's reaction stands out. This is a straightforward result of the great
interest shown by the use of Fenton's reagent in the photochemical investigation of
herbicides degradation. As stated recently by Anglada et al. (2009), an efficient treatment of
contaminated effluents is rarely performed by a single process; indeed, usually two or three
associated processes must be involved, so that a reduction in the energy consumption and
low level of organic material can be achieved. The main conclusion is that the oxidation of
herbicides through electrochemical technology represents a viable technique for reducing
the toxicity of wastewater. The use of this type of treatment may provide a breakthrough in
the handling of toxic waste in the coming years. This is the reason why great efforts have
been made in order to couple electrochemical treatments with established methodologies
such as the biological ones.
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Part 3
Herbicide Toxicity and Further Applications
20
The Bioassay Technique in the Study of the
Herbicide Effects
Pilar Sandín-España, Iñigo Loureiro, Concepción Escorial,
Cristina Chueca and Inés Santín-Montanyá
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Spain
1. Introduction
Strategies for weed control are based primarily on chemical control, since the last decades
the use of synthetic chemical products has been dramatically increased. The use of plant
protection products is a source of concern for the society of developed countries, which has
a growing interest in the environment, nature conservation and public health in general.
This situation has led to deep changes in the objectives of the research on agriculture. The
development and implementation of sustainable agriculture conduct to a rational use of
plant protection products. The regulatory organisms (national and international) and the
chemical industry of pesticides have taken steps to reduce the environmental impact of such
organic compounds. In this context, there is now a great concern about the chemical nature
of the products used in agriculture and its impact on adjacent ecosystems and the toxicity of
these substances in ground and surface water.
The widespread use of herbicides create also concern about the possibilities of the risk of
phytotoxicity on other species which are not direct object of the treatment. On the one hand,
the risk involved in rotational crops due to of the accumulation in the field of herbicides that
have a high persistence and are applied repeatedly each year, and on the other hand, the
crops or plants adjacent to the treated crop may be affected by herbicide drift during the
application of the product (Pestemer & Zwerger, 1999).
On the basis of these considerations, the risk assessment of the use of plant protection
products on non-target plants should focus taking into account the agronomic use of the
product. In this context, the bioassay technique is a useful tool that complements the
analytical methods and provides information regarding herbicide bioavailability for the
plant and its possible phytotoxicity (Kotoula-Syka et al., 1993; Stork & Hannah, 1996).
Therefore, in the case of herbicides, we can define two groups according to good
agricultural practices: the vegetation adjacent of agriculture areas and successive crops in
the rotation.
2. The role and application of bioassay techniques on the impact assessment
of herbicides
Bioassays or biological tests applied to the study of herbicides are based on the response of
different species, chosen as controls, to the application of the herbicide under study
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Herbicides, Theory and Applications
(Horowitz, 1976). They represent a valuable and necessary tool that provides an overview of
soil-plant-herbicide relationships (Rahman et al., 1993; Hernández-Sevillano et al., 1999).
Although there are chemical methods of analysis accurate and simple to use, bioassays have
certain advantages in the study of herbicides:
Phytotoxicity bioassays detect both the active substance and the possible degradation
products of the herbicide.
The biological assays provide practical information, being based on observation of the
response of the plant to the herbicide (Blacklow & Pheloung, 1991).
The methodology and materials necessary to carry out bioassays are generally simple
and inexpensive.
The sensitivity, low cost and reproducibility of bioassays fulfil the criteria for a good
technique (Günther et al., 1993). However, the bioassays by themselves cannot provide
complete information on the environmental performance of these substances. Although
reveal potential problems that residues of these products may present, as the effect on nontarget species or in successive crops do not provide information needed to relate these
effects with the chemical nature of the residue. Therefore, it is also necessary to study the
nature of this residue by conventional analytical methods to identify potential causes of
environmental problems and possible solutions. In this sense, it is very important to know
whether any phytotoxic effects were detected in the bioassay due to active substance
applied or to some of its metabolites or degradation products. In this case, it is necessary to
know the route and rate of degradation not only for the active substance but also for the
products of degradation (Parrish et al., 1995).
There is a need for evaluating and assessing the risk of the use of Plant Protection Products
on non-target plants. The requirements for non target plants testing of pesticides vary
among international agencies and their member countries. The risk assessment of the use of
plant protection products on non-target terrestrial plants has been included until now as a
generic assessment for registration of the plant protection product in the European Union
(EU). However, generally state that there is a need to report all potentially adverse effects
and undertake additional studies where there are indications of such effects.
The European Commission recommends the use of bioassays as an acceptable method to
detect low levels of herbicide residues in soil. Such recommendation has been published in
the European Commission Guidance Document Residue Analytical Methods (Anonymous,
2000) has accepted bioassays as suitable screening test that can be useful to exclude the
occurrence of low levels of residues of phytotoxic compounds. Bioassays have become a
necessary tool to detect herbicide soil residues and the results of these bioassays are now
used to guarantee non-injury to the succeeding crop in crop rotation (Pestemer et al., 1980).
Additionally, available pesticide phytotoxicity data on crop and non-crop species included
in dossiers submitted to EU Member States for evaluation of active substances that could be
commercialised in Europe according to the requirements of the Directive 91/414/EEC
(Anonymous, 1991), concerning the placing of plant protection products within the
European Union provides a harmonized procedure for the approval of these products. This
directive requires that plant protection products marketed and used in the EU meet in their
normal use, the following requirements: a) they do not produce harmful effects on human or
animal health nor an unacceptable effect on the environment, and b) waste resulting from
their application does not have harmful effects on human or animal health or on
groundwater or any unacceptable influence on the environment, and that can be measured
by methods in general. It is not acceptable the use of products with toxic effects on its target
The Bioassay Technique in the Study of the Herbicide Effects
433
species, whether caused by themselves or their products applied waste. This directive has
been extended by a set of guidelines detailing the information required in each of the
sections, to be submitted by notifiers to justify the inclusion of active substances in Annex I
to that directive. Therefore, the results of herbicide bioassays are essential input for many
herbicide optimization programs, and for many studies of plant biomechanisms.
To assess the acute risk for terrestrial plants, the EU Guidance Document (SANCO, 2002)
suggested starting with a first tier. If negative effects on terrestrial plants occur in the
screening test or if results indicate a hazard potential for further risk assessment, then
specific information on the toxicity of the substance to terrestrial plants should be requested.
It is recommended to conduct dose-response test on 6-10 plant species representing as many
taxonomic groups as possible. Germany Federal Environmental Agency propose
phytotoxicity test with at least six plant species, three monocotyledonae, three
dicotyledonae, including one leguminose and Avena and Brassica, (Füll et al., 2000). Other
researchers (Gong et al., 1999) suggested four species of higher plants used for testing, two
monocotyledons and two dicotyledons. We propose that selection of plant species would be
specific for each situation, and it does depend of each herbicide. All selected species should
present a useful tool in laboratory and are representative of important families in the
agrarian ecosystem.
2.1 The use of Bioassays to detect herbicide phytotoxicity
The power of bioassays to detect bioavailable residues has led to success (Streibig et al.,
1993). Bioassay methods have been developed to determine the residue level of many
herbicides in soil and water. There are different types of bioassays, depending on the
species, the type of herbicide used, its mode of action, substrate and other environmental
conditions, as well as the measured parameter. Essentially, the biological test requires the
choice of an indicator organism or specie that in the study of herbicides´ effects is very often
a terrestrial plant. After the herbicide treatment one or more biological parameters of the
plants that were affected will be assessed. At this point, visual assessment is recommended,
but more rigorous measures are needed such as germination percentage, size or weight of
the plants, or changes in physiological activities like photosynthesis or respiration
(Horowitz, 1976).
The relationship between herbicide dose and plant response is of fundamental importance
in understanding herbicide efficacy and mode of action. A thorough understanding of this
relationship is essential for the design and interpretation of research in the field,
greenhouse, or laboratory. The results of the measurements should be statistically analyzed
to determine whether the observed effects are due to herbicide treatment or there is a
response to increasing doses of the herbicide. The results of bioassays show the potential
risk to sensitive crops after treatment, and provide information about the phytotoxicity of
herbicide residue in the soil at sowing time. The classical bioassay, often used to quantify
the amount of herbicide in soil, employs a single “standard” dose-response curve. This
standard curve show the plant response to different herbicide concentrations and report
information of different concepts related to herbicide efficacy, such as selectivity, tolerance
and resistance.
A typical dose-response curve is sigmoid in shape. One example of such a curve is the loglogistic curve (Seefeldt et al., 1995). The mathematical expression relating the response y to
de dose x is:
434
Herbicides, Theory and Applications
LOG-LOGISTIC: Y=C+ ((D-C)/ (1+exp (b.ln(X)-ln(EC50+1)))))
(C=lower limit, D= upper limit, b= slope, and EC50= dose giving 50% response)
The log-logistic is the most common model used in bioassays to describe dose-response
relations. Other relevant sigmoid curves might be the Gompertz (Streibig et al., 1993), is
used sometimes, for instance, in cases where a log-logistic model did not fit well to the data.
GOMPERTZ:
Y= exp[ln(A). exp(-rX)]
(A is the upper asymptote and r the slope of the linearized function)
The methodology of the risk assessment consist in comparing the toxicity with the predicted
exposure applying a safety factor to this ratio in order to cover the uncertainty of the
extrapolation from laboratory data to the field. The toxicity factor used in the risk
assessment is usually the EC50 (concentration required to give 50% reduction of the plant
growth with respect to the control) and NOEC (No Observable Effect Concentration) of
representative species assayed in laboratory.
In order to mitigate the adverse effects of the use of plant protection products have been
developed in recent decades molecules effective at low doses in order to fulfill
environmental requirements, water and soil pollution set by international legislation.
There are scientific references concerning the effect of low-dose herbicides belonging to the
family of sulfonylureas, in susceptible crops in the rotation (Blacklow & Pheloung, 1991;
Alonso-Prados et al., 2001). Sulfonylurea herbicides inhibit plant metabolism by inhibiting
acetolactate synthase, a crucial enzyme for the biosynthesis of branched-chain amino acids.
These herbicides have a high specific activity in cereal crops and can be used effectively to
control a wide range of grass and broad-leaved weeds at low doses (between 4 and 20 g
a.i./ha). Previous studies have shown that sugar beet, sorghum, barley, pea or oilseed rape
were injured in field assays when they were grown after wheat treated with sulfonylurea
herbicides during the preceding spring or even autumn (Günther et al., 1993; Szmigielska et
al., 1998; Shinn et al., 1999). It has been described a 20% barley growth inhibition caused by
0.0015 mg/L sulfosulfuron in growth chamber bioassay and also some injury on this crop in
field assay (Parrish et al., 1995); according to other authors, crops like lucerne, oilseed rape,
flax and sugar beet respond to sulfonylurea herbicides residues similarly in the field and
growth chamber experiments with soils (Moyer, 1995). Also, Hernández-Sevillano (2001)
found that quantities between 0.008 and 0.003 mg/L of sulfosulfuron and triasulfuron
reduced sunflower root length by 50% in soil bioassays carried out in growth chamber.
Several bioassay methods for sulfonylurea herbicides have been reported using lentil (Lens
culinaris Med.), lettuce (Lactuca sativa L.), sunflower (Helianthus annuus L.), corn (Zea mays
L.), pea (Pisum sativum L.) and lupin (Lupinus angustifolius L.). In some studies, plant height
or dry or fresh weight has been found to be a sensitive response parameter to sulfonylurea
exposure (Blacklow & Pheloung, 1991; Günther et al., 1993; Junnila et al. 1994; Stork and
Hannah, 1996; Vicari et al., 1994; Walker & Welch, 1989). Root growth effects have also been
assessed after sulfonylurea treatments due to improved precision and sensitive (Blacklow &
Pheloung, 1991). Root responses to sulfonylurea exposure have been measured by root dry
weight, but previous studies in our laboratory shown that the most sensitive biological
parameter used in bioassay with sulfosulfuron was root length (Hernández-Sevillano et al.,
2001); therefore we have used the inhibition of root growth as susceptible parameter that
The Bioassay Technique in the Study of the Herbicide Effects
435
indicate injuries in plants. Landi & Catizone (1989) found that response of corn cultivars to
soil-applied chlorsulfuron in the field correlated better with root length than with root dry
weight. Sunflower root dry weight was used by Kotoula-Syka et al. (1993) to study the
persistence and phytotoxicity of several sulfonylureas in three different soils.
Also, some authors have found that plant response to the total herbicide residue in soil is
site-specific; Stadler & Pestemer (1980) found that herbicide damage in crops is related to
water-extractable (plant-available) residues. Thus, relationships between crop response and
herbicide dose could be determined in a soil-free system bioassay to eliminate the
confounding effects of soil adsorption and degradation of the herbicide (Ferris & Haigh,
1992; Jettner et al., 1999). Hydroponics’ conditions promote herbicide activity because allow
the maximum herbicide bioavailability to the plant, all the roots were confined within the
solution with the plant at maximum water uptake. Plants are growing in most uniform
conditions in the soil-free system bioassays, and the variability of the results due to
environmental conditions was reduced with this method.
On the basis of these considerations, it has been studied the response of seven species (flax,
corn, onion, vetch, lepidium, tomato and barley) to different doses of sulfosulfuron in
hydroponic culture (Santín-Montanyá et al., 2006), in order to use this system as a rapid
bioassay to detect phytotoxic levels of herbicide in crops and non-target plants and
determine its effect in the most susceptible specie and also the most sensitive biological
parameter for each species. We generated the dose-response curves of root growth 7 days
after treatment for sulfosulfuron with the susceptible species, in order to estimate the EC50.
The most susceptible biological parameter was root growth for all species studied; this
parameter permit us knowing the effect of sulfosulfuron on plants and it was used for
obtain the dosis-response curves for each specie studied that have been treated with
sulfosulfuron. The results showed that all species were susceptibles to sulfosulfuron,
therefore the injuries caused in shoot fresh weight and shoot dry weight were growing with
the doses of herbicide for all species. Additionally, root system control and less injured
plants were increasingly deformed (main tap root twisted and lack of secondary roots); we
could see how root growth was increasingly affected with increasing doses for all species,
causing between 60 % and 98 % of root growth reduction with doses of 5.10-4 and 0.1 ppm
a.i. of sulfosulfuron respectively applied on flax. These experiments with known
concentrations of sulfosulfuron on the eight bioassays species showed that flax was the most
susceptible specie to this herbicide.
Log-logistic and Gompertz model were tested for all species and the root length estimated
by non-linear regression in the fitted model (Table 1). The Gompertz was considering the
better model for the response in flax, corn, tomato and onion to sulfosulfuron; and Loglogistic regression model describe the data for lepidium, vetch and barley. The EC10,30,50
were calculated in flax, maize, onion, vetch and Lepidium sativum according the estimated
equations of each bioassay varied from 0.000053 mg/L to 0.0017 mg/L. Therefore, we could
see that flax, corn, onion, vetch and lepidium root growth proved sensitive enough to detect
very low phytotoxic level of sulfosulfuron; while tomato and barley were the less
susceptible species.
Ciclohexanodione herbicides are also a family used at low-dose rate as they are biologically
active at very low concentration (0.2-0.5 kg a.i./ha). These herbicides inhibit the activity of
acetyl CoA carboxilase, a crucial enzyme in fatty acid synthesis. Furthermore, their polar
character makes them easily to leach and potentially contaminate groundwater. However,
436
Herbicides, Theory and Applications
Upper
asymptote
Lower
asymptote
(cm)
(cm)
21.69
Slope
EC10
EC30
EC50
R2
[cm/(mg.m.L-1)]
(mg/L)
(mg/L)
(mg/L)
(%)
-
629.52
0.000053
0.00019
0.0004
97
10.83
-
526.40
0.000085
0.0003
0.00065
92
Onion a
9.48
-
271.46
0.00017
0.00063
0.0013
83
Tomato a
8.37
-
33.05
0.0015
0.0055
0.011
98
Vetch a
11.83
-
171.34
0.00025
0.009
0.0019
98
Lepidium
sativum a
4.55
-
151.90
0.00047
0.0017
0.004
93
Barley b
5.86
0.92
0.99
0.042
0.16
0.39
93
Specie
Flax a
Maize
a&b
a
Regression Equations by Gompertz and Seefeldt models respectively
Table 1. Parameters of regression equations that describe the relationship between
sulfosulfuron and root growth of different species and plant response for 10%, 30% and 50%
inhibition of root growth (EC10, EC30, EC50)
due to high phytotoxicity, small amounts of residual herbicide in soil may affect sensitive
succeeding crops. In this context, there is some information about the mobility, degradation
and persistence in soil and water. These studies were performed with a variety of analytical
techniques like gas chromatography, liquid chromatography, mass spectroscopy,
photodegradation studies, studies with 14C, immunoassays, etc. However, most studies have
been made in water and soil, occasionally there is some bioassays in microalgae (SantínMontanyá et al., 2007). The last results obtained confirm that could be a susceptible specie
capable to detect the presence of some herbicides (Fig. 1 & Table 2).
Fig. 1. Dose-response relationships of microalgae Dunaliella primolecta growth in the
presence of different concentrations of alloxydim (♦), sethoxidim (■), metamitron (▲) and
clopyralid (+)
437
The Bioassay Technique in the Study of the Herbicide Effects
Herbicides
D
(cm)
C
(cm)
b
[cm/(mg.m.L-1)]
EC10
(mg/L)
EC50
(mg/L)
R2
(%)
Alloxydim a
2.09
-1.28
1.29
177.20
973.20
87.1
Sethoxydim a
1.95
0.072
1.66
23.32
87.63
87.6
Metamitron
2.12
0.103
1.67
0.76
2.87
89.6
Clopyralid
a
a
Not adjusted to regression equation. No inhibitory effect
Regression equation by Seefeldt model
Table 2. Parameters of regression equations that describe the relationships between
increasing rates of herbicides and growth of Dunaliella primolecta
Previous bioassays have been developed to detect phytotoxic residues of herbicide
sethoxidim (Hsiao & Smith, 1983). In our group, initial attempts to obtain a practical
hydroponic bioassay that allowed us to quantify tepraloxydim were frustrated due to the
lack of repeatability and random results. Therefore, an investigation was carried out to
determine the fate of tepraloxydim under bioassay conditions in order to clarify the reason
for poor bioassay repeatability. The presence of residual chlorine in water was identified as
a key factor on the repeatability of the bioassay. Finally, an extensive research was
conducted to develop and optimize a bioassay based on the high sensitivity of wheat
(Triticum aestivum L) to tepraloxydim in hydroponic culture using chlorine free mineral
water (Sandín-España et al., 2003). Afterwards, similar studies were carried out with
tralkoxydim (Fig. 2).
It has been demonstrated that water chlorination with disinfection purposes degrades
completely any possible residue of herbicide clethodim (Sandín-España et al., 2005a). This
degradation is very rapid, giving rise to different degradation products.
Tepraloxydim
1 Observed
1 Observed
Tralkoxydim
2 Observed
cm
14
1 Predicted
12
2 Predicted
2 Observed
cm
10
8
8
6
6
4
4
2
2 Predicted
12
10
0
0,001
1 Predicted
14
2
0,01
0,1
0
0,001
0,01
doses (ppb)
Bioassay
Tepraloxydim
Tralkoxydim
0,1
doses (ppb)
B1
B2
B1
B2
EC50
(µg/L)
4.6
3.8
6.8
7.0
R2
(%)
99.8
97.2
98.4
99.6
Fig. 2. Dose-response curves and EC50 to ciclohexanodione herbicides in hydroponic culture
of wheat
438
Herbicides, Theory and Applications
The foregoing results suggest that the use of low dose herbicides can produce damage on
succeeding crops, neighbouring crops and on non target plants. Overall, there is no one
species or endpoint that is consistently the most sensitive for all species or all chemicals in
all soils, and differences in bioavailability among compounds may confound comparison of
test results (Clark et al., 2004). Therefore, bioassays can provide additional information, with
acceptable reproducibility (Nyffeler et al., 1982; Streibig et al., 1995) on herbicide uptake and
translocation (Horowitz 1976; Best et al., 1975). Besides, bioassays are employed in studies of
persistence and mobility of herbicide soil residues (Ragab, 1974).
3. Bioassays in selectivity and resistance to herbicides
The basis for much of the work done in crop-weed management is weed control. In areas of
well-developed agriculture weed control is mainly based on chemical control by herbicides.
The extensive and redundant use of herbicides could present problems both in agricultural
systems and in the surrounding environment. To detect any possible effect of herbicides in
the plant and to test herbicides efficacy, response assays and tests must be carried out at
various levels in the laboratory, greenhouse and field. Field studies are the best way of
studying herbicide effect but accurate and efficient greenhouse and laboratory tests could be
of the up most importance. The quicker and more simple the testing is, the more effective it
will be. Because most laboratory research work utilizes large numbers of plants, a simple
and rapid method is desirable. This is the case in determining crop selectivity, herbicide
resistance in weeds or selecting individuals resistant to a particular herbicide, as a part of an
improvement, mutagenic and/or gene flow process.
3.1 Crop selectivity
Conventional breeding programs frequently don’t consider the herbicide response of
cultivars during the selection process, it is why some cultivars show problems when treated
with herbicides in culture in field. This is particularly true for crop response to new
herbicides or new use of an herbicide. Cultivars show wide differences in response to
herbicides and in many cases the concentration of herbicide needed to control weeds, or a
particular weed, is deleterious if not lethal to the crop. For example, the control of Bromus
diandrus in cereals is of concern. Bromes are vigorous competitors in winter cereals in many
parts of the world (Blacksshaw, 1993) and cultural methods are the basis for their control
because the herbicides used for weed control in cereals are not effective in controlling brome
grass. The development of a sulfonilurea herbicide allowed a good control of Bromus spp in
wheat. Hydroponic in vitro herbicide treatments were carried out. In those assays,
germinated seeds were disposed on a grid in a black beaker filled with nutrient solution at
the grid level (Fig. 3). When plants were 10 days old they were placed during 24 hours in
another vessel filled with herbicide solution.
Six days after herbicide treatment plants were weighted. The results obtained from
hydroponic herbicide treatment of wheat, barley and B.diandrus besides glasshouse spread
of plants allowed to confirm the varietal selectivity of Triticum aestivum L.and Triticum
turgidum L. cultivars and the susceptibility of barley cultivars to the herbicide doses that
controls B.diandrus (Villarroya et al., 1997).
There are herbicides as glyphosate that when applied on the plant leaf, damaged the plant
but the effect is relatively slow; several days will elapse before symptoms of damage appear
(Duke, 1988). For cereals four to six weeks will be necessary; during this time the seedling
The Bioassay Technique in the Study of the Herbicide Effects
439
Fig. 3. Wheat plants in an in vitro herbicide response test
will need both soil or hydroponic support and space in a room or greenhouse. Quick
methods to detect glyphosate’s effect have been developed, (Harring et al., 1998; Madsen et
al., 1995) including methods based on root absorption of glyphosate (Duke, 1978). Root
application of the herbicide presents fewer problems than foliar application, especially with
regard to interaction with ambient conditions (Hull et al., 1975). Trial assays in sorghum
(Hensley et al., 1978), peas (Yenne et al., 1988) and corn (Racchi et al., 1995) have been
carried out using root absorption. A method to evaluate the response of wheat and barley to
glyphosate by measuring coleoptile length allows for the rapid detection of the more
sensitive cereal lines and the selection of the more tolerant ones. Two barley cultivars
(Hordeum vulgare L), “Jeff’ and ‘Amaji Nijo’ (AN) as well as two wheat cultivars (T.aestivum),
‘Chinese Spring’ (CS) and ‘Pavon’ were used. Seeds were germinated in glyphosate solution
in Petri dishes. After 24 hours, the dishes were opened and placed on a tray lined with
water-moistened filter paper and covered with a transparent plastic film to maintain
humidity. The tray containing the dishes was kept in a culture chamber under controlled
conditions. The length of the coleoptile was measured four days after treatment (Fig. 4). The
barley cultivars tolerated a higher dose of glyphosate than the wheat cultivars allows this
method to evince differences in the responses of the cultivars as is shown by the log-logistic
regression model applied. This method correlated with plant responses has provided an
accurate model for describing the data with a good estimation of dose response (Fig. 5),
equations for each cultivar by both methods.
Fig. 4. Effect of herbicide dosage on wheat coleoptile length
440
100
b
Jeff
AN
80
CS
60
Pavon
Jeff
40
AN
CS
20
Pavon
100
100
Weight (% of control)
Weight (% of control)
Weight (% of control)
Herbicides, Theory and Applications
a
a
80
80
0
200
400
600
800
CS
Pavon
60
Jeff Pavon
40
AN Jeff
40
CS AN
20
CS
Pavon
20
Pavon
00
0
Glyphosate dose (g/ha)
AN Jeff
CS AN
60
0
0
Jeff
200
200
400
400
600
600
800
800
Glyphosate dose (g/ha)
Glyphosate dose (g/ha)
Fig. 5. Response in fresh weight of wheat (CS and Pavon) and barley (AN and Jeff) to
glyphosate
The seed assay proved an accurate and rapid method to evaluate glyphosate efficacy. The
seed assay can be completed in four to five days while the plant assay requires up to 30 to 45
days. The possible resistant plants detected by this method can be grown out after treatment
in a greenhouse or in the field, where their resistance will be confirmed. This method is
highly useful to detect tolerance to other herbicides as dalapon (Loureiro et al., 2001) and to
detect populations of resistant weeds (Barroso et al., 2010) in the field as well as to initially
select the lines obtained after mutagenic treatments or in vitro regeneration (Escorial et al.,
2001).
Crop selectivity is related with the genetic control of herbicide response. Knowledge of the
sources and genetic control of tolerance to herbicides should always be taken into account in
the development of new improved crop varieties and in implementing a weed management
system. Although genetic control of tolerance to herbicides was not largely been
investigated in wheat, authors have already reported cytoplasmic, poligenic nuclear control
as well as monogenic nuclear control of the response of different crops to the herbicides.
The bread wheat cultivars 'Castan' and 'Recital' are tolerant and susceptible respectively to
chlorotoluron herbicide (Sixto & Garcia-Baudin, 1988). However, while the distribution of
responses among wheat cultivars to chlorotoluron reported so far are discrete, some papers
report only two classes, tolerant and susceptible (Tottman et al., 1975). A single seedling,
non-destructive, easy to handle, cheap, fast and efficient assay was developed to score
wheat responses to herbicides and to investigate the genetic control of the differences in
response to chlortoluron between the cultivars 'Castan' and 'Recital' Its efficiency makes
possible the detection not only of differences due to major genes but also to minor or
modifier genes (Sixto et al., 1995). The results not only confirm the presence of a major
tolerant allele controlling the differences in response between the two cultivars, but also,
show the contributions of modifier genes present in 'Castan', 'Recital' and other related
cultivars. This assay is applied nondestructively to single individuals plantlets that are
scored in vitro in a herbicide solution of clortoluron (Fig. 6) and, if selected, can be
transplanted, grown to maturity and cross-fertilized if desired. The test may save up to two
generations in genetic schemes where scoring is done in large samples grown to maturity.
This test was also used to conclude that in the inheritance of durum wheat (T.turgidum var
durum ) to metribuzin (Villarroya et al 2000) the tolerance is dominant and relatively few
genes (around four) are involved in tolerance for this character. Heretability of this trait was
very high with value of 0.60 in narrow sense and of 0.86 in broad sense. The results of this
The Bioassay Technique in the Study of the Herbicide Effects
441
work can help in the selection techniques employed to obtain durum wheat with increased
tolerance to metribuzin, that could increase the margin of safety in Brome control in wheat.
If selectivity is not present for a herbicide-crop couple in vitro selection could be used to
detect herbicide tolerance over mutations produced by somaclonal variation. In vitro culture
has been used to select herbicide-tolerant plants of dicotyledonous (Aviv & Galum, 1977;
Wersuhn et al., 1987) and of monocotyledoneous species between them T.aestivum L.
tolerant to chlortoluron and to difenzoquat (Bozorgipour & Snape, 1991), and H.vulgare L.
tolerant to chlorsulfuron (Baillie et al., 1993) and glyphosate (Escorial et al., 1996). In the last
case, in vitro culture of barley calluses from immature embryos of barley (H.vulgare L. 'Jeff')
were cultured for some months on medium with glyphosate. Plants were regenerated and
the progeny of each regenerated plant was analyzed for response to glyphosate. An
herbicide test was adapted to detect plants tolerant to glyphosate. Plants between 3 and 6
cm tall were treated with one drop of 1μl of glyphosate solution applied on the base of the
third leaf. The length of the third leaf was measured at the time of herbicide treatment and
seven and fourteen days after the treatment. Some progenies showed increased tolerance to
glyphosate and show that glyphosate tolerance in barley can be increased by in vitro culture
selection.
Fig. 6. Barley regenerants obtained after in vitro culture in medium with glyphosate
herbicide
3.2 Herbicide resistance in weeds
The widespread use of herbicides for weed control over the past decades has exposed huge
weed populations to strong selection pressures that lead to the appearance and proliferation
of weeds resistant to different chemical classes of herbicides. The adoption of genetically
modified crops will promote in the future a greater use of monoculture systems and
generate a higher risk of possible appearance of resistance through the selection pressure
produced by the continued use of a single herbicide (Powles, 2008). Thus, studies of weed
resistance are important to stop or mitigate it. Herbicide resistance could be a field concern
if it is spread in a field or in an area, or in a previous stage (not apparent in the field) in
which an increase of proportion of resistant plants and/or a decrease of response in a given
population.
To detect herbicide resistance, several authors have adjusted short, quick and cheap
bioassays to evaluate herbicide effect, which have allowed to detect responses of biotypes to
442
Herbicides, Theory and Applications
diclofop-methyl, trifluralin, acetyl-coenzyme A carboxylase inhibitors, dalapon or
glyphosate herbicides (Beckie et al., 2001; Barroso et al., 2010).
The above mentioned Petri dish bioassay cereal method adapted for weeds (B.diandrus and
L.rigidum) is a proper method to detect weed resistant populations as well as to establish a
baseline sensitivity, although caution is needed with the results obtained by this method if
the resistance mechanisms are unknown. Baseline sensitivity gives information about the
level of resistance to a particular plant protection product in a weed population and allow
comparisons among different populations and between the same populations at different
times, allowing the evaluation in sensitivity changes both between populations and along a
period of time. The method was validated positively for dalapon and B. diandrus and L.
rigidum (Barroso et al., 2010). This method once validated is much more practical than others
methods used for herbicide resistance evaluation (Carrera de la et al., 1999; Carrera de la et
al., 2000) as were methods based on mortality of the plant, number of leaves developed by
the plant in a period of time and/or the length of the third or fourth leaf.
Before the molecular identification of resistant weeds (Sherwood & Jaseniuk, 2009) was
largely used, this Petri dish bioassay could be of interest in the study of the structure of the
populations in terms of evaluating the response of a population as the integrated response
of each of the individuals that belongs to the population. By this way resistant plants can be
detected and the inter and intra-population variability could be assessed. It is well known
that the evolution of resistance will be much more rapid if a population carries resistant
alleles before selection is imposed (Loureiro et al., 2010). The variation of the response of a
population to herbicides is the result of the previous management of the fields and is the
starting point for future weed-management strategies. It is likely that the frequency of
resistant plants increase further if measures are not taken and control rely on herbicides
with the same mode of action. It will thus be necessary to diversify the managements by
rotating herbicides with different modes of action, by alternating crops and by
implementing diversified cropping programs.
3.3 The importance of degradation products in the study of herbicides
The current tendency in agrochemical industry points to the development of herbicides
more selective, less environmentally persistent, with less toxicity and bioaccumulation. In
this regard, families of herbicides like sulfonilurea and cyclohexanedione oxime that belong
to the third generation of pesticides, have appeared in the period 1970-1980 to fulfil these
environmental requirements.
Although little attention has been paid to degradation products and metabolites in the past,
by-products need to be considered to gain complete understanding of the environmental
impact of these xenobiotics, otherwise herbicides’ fate could be substantially
underestimated. Determination of degradation products of organic compounds, such
herbicides, is nowadays one of the major challenges in analytical chemistry of
environmental pollutants.
In many cases, parent compound and transformation by-products possess different physicochemical properties. The higher polarity and hence solubility in water of some degradation
products increase the risk to contaminate the aquatic media. Data available show that
concentration of degradation products presents in water is sometimes higher than those of
the parent compound. Besides, degradation products are often more toxic and/or persistent
in environmental matrices than their parent (Barceló & Hennion, 1997).
The Bioassay Technique in the Study of the Herbicide Effects
443
However, determination of transformation products is sometimes difficult to carry out. In
many cases they have never been identified nor characterized before and the availability of
analytical standards is scarce.
Therefore, to predict their fate in the natural environment and to assess their risk, it is
necessary to improve our knowledge on the reactions under environmental conditions.
3.2.1 Processes of herbicide degradation
Degradation of herbicides can begin as soon as they are synthesized. Formulation processes,
transport and/or storage can initiate degradation of the active substance. As well, once the
herbicide is prepared in the tank mix, further transformation can take place because of the
reactions with other substances present in the water or due to interactions with other
herbicides.
Once applied to the field, most of the herbicides applied do not immediately enter the plant,
but remains in soil, water, air and surface of the plant leaves where are subject to different
agents capable of transforming by abiotic and/or biotic processes into one or more
transformation products.
Most pesticides applied to the environment are ultimately degraded into universally present
materials such as carbon dioxide, ammonia, water, mineral salts and humic substances.
Different chemicals, however, are formed before the herbicides are completely degraded. If
the products are results of biological degradation, they are referred to as metabolites.
Agents responsible for the transformation of herbicides in the field can be physical, chemical
and biological. The influence of each agent in the herbicide depends on the physical
properties and chemical structure of the herbicide molecule.
The two main physical agents involved in the degradation process are light and
temperature. Solar radiation is responsible for the photolysis and thermal degradation of the
herbicides in the surfaces of soil, plant and water. It is known that photodegradation is one
of the main abiotic processes that take place for many herbicides (Dimou et al., 2004; Scrano
et al., 1999; Saha & Kulshrestha 2002; Ibáñez et al. 2004). For this to occur in water, the
emission spectrum of the sun needs to fit the adsorption spectrum of the pollutant.
Cyclohexanedione oxime herbicides photodegrade rapidly when they are exposed to
simulated or natural solar irradiation in different types of water showing a dependence both
on the irradiation energy and on the composition of the water sample (Sevilla-Morán et al.,
2010a).
The effect of temperature on degradation has been studied in tropical ecosystems (Sahid &
Teoh, 1994). High temperatures encountered in the tropics will lead to enhance degradation
of herbicide.
Chemical degradation can take place when the herbicide gets in contact with water that
possesses substances that promote its degradation. It is known that the presence of
substances employed for the disinfection of water such as hypochlorite and chloramines
degrade herbicide to compounds more or less toxic that the active substance. Rapid
degradation of herbicide tepraloxydim was observed in the presence of chlorine. In the same
way, clethodim was degraded completely in a few minutes when is exposed to chlorinated
water, giving rise to the formation of various oxidation by-products (Sandín-España et al.,
2005a).
It is worth noting that natural substances present in aquatic systems (dissolved organic
matter (DOM), nitrate and metal ions, …) may influence the photochemical behaviour of
444
Herbicides, Theory and Applications
organic compounds (Mazellier et al., 1997; Quivet et al., 2006; Sevilla-Morán et al., 2008).
Diverse studies are available from literature where humic acids act enhancing (Santoro et
al., 2000; Vialaton & Richard, 2002) or inhibiting (Dimou et al., 2005; Dimou et al., 2004) the
degradation of herbicides. For instance the irradiation of sethoxydim (Sevilla-Morán et al.,
2010a), alloxydim (Sevilla-Morán et al., 2008) and clethodim (Sevilla-Morán et al., 2010b)
solutions containing humic acids slowed down the rate of the photodegradation, suggesting
a strong “filter effect”, while the presence of nitrate ions had no effect on the degradation.
In general, by increasing the organic-matter content ant the temperature, the degradation of
herbicides in soils is enhanced. When the organic-matter content increases, the biomass of
the active microbial population also increases and so does the degradation.
The role of organic matter in soils is very important. It has been shown that the most
persistent complexes result from the direct covalent binding of pesticides to soil humic
matter or clay. The pesticides most likely to bind covalently to the soil have chemical
functionalities similar to the components of humus. The humic material is derived from the
remains of decomposing plants, animals and microorganisms, and is composed primarily of
humic and fulvic acids.
In order to investigate the soil degradation of pesticides, laboratory incubation studies with
14C-labelled pesticides are required. These allow one to assess the likely rate of degradation
of parent pesticides in soil, and provide information on the structure and likely
degradability of metabolites.
In the same way, a variance of pH can accelerate the degradation of herbicides. The soil
pH, for example, is an important parameter affecting the persistence of chemically
unstable herbicides. The mobilities of acidic herbicides are related to pH, with higher
mobility in soils with higher pH (Brown, 1990; Scrano et al., 1999; Boschin et al., 2007).
Microorganisms are the most important group of biological agents present in the soil that
degrade herbicides.
3.2.2 Biological activity of degradation products
All these degradations imply different reactions before the active substances are completely
degraded or mineralized and one or two transformations are sometimes sufficient to alter
the biological activity of the parent compound. For some herbicides a change that takes
place in its molecular structure can change the physicochemical properties and also the
toxicity to different species. Herbicides alachlor and metolachlor showed that the toxicity to
the bacteria V. Fisheri was enhanced upon degradation (Osano et al., 2002). On the contrary,
other studies showed that herbicides and its degradation products cannot be considered a
risk for the environment. This is the case of some sulfonilureas herbicides, where neither the
active substance nor the metabolites are toxic to D. Magna and V. Fisheri. (Martins et al.,
2001; Vulliet et al., 2004).
Major degradation products of some herbicides also have herbicidal activity against target
and/or non-target weeds. However, few studies have documented the level of herbicidal
activity. Some pesticide degradation products are of significance in crop protection by being
effective against the target weeds. It has been demonstrated that the formation of the
sulfoxide by-product of thiocarbamate herbicides like butylate (Fig. 7), increased the
herbicidal activity (Tuxhorn et al., 1986). On the contrary, some can be responsible for
inadequate weed control by inducing rapid degradation of their parent compounds.
445
The Bioassay Technique in the Study of the Herbicide Effects
Evidence shows, however, that for some pesticides, the herbicidal activity attributed to
parent compound is partly due to the products formed (Tuxhorn et al., 1986; Bresnahan et
al., 2004). In some cases, herbicides are formed as degradation products of other herbicides
for instance, chlorthiamid, a benzonitrile herbicide (Fig. 7), is the parent compound and the
precursor of dichlobenil that is a degradation product formed in soil and also an herbicide.
Oxidation reactions occur frequently in the soil and are extremely important transformation
pathway. S-containing herbicides are often rapidly oxidized to sulfoxide and afterwards
more slowly to sulfones. Sulfoxidation can occur in soil and water mediated chemical or
biologically (López et al., 1994; Hsieh et al., 1998; Ankumah et al., 1995).
This oxidation is so rapid and complete that sulfoxides are often the compounds found in
soil shortly after application of the parent sulfide compound. Furthermore, in some cases,
sulfoxides and sulfones are suspected to have the herbicidal activity (Campbell & Penner,
1985).
The herbicidal activity of carbamothiate herbicides sulfoxides has been previously reported.
(Tuxhorn et al., 1986). In soils treated with butylate (Fig. 7), herbicide residues of the parent
OH
OH
Br
O
Br
Br
Br
O
O2
S
H3C
O
O
CH3
H3C
O2
S
CH3
C
H2
H3C
OH
O
S
NH2
Cl
Ethofumesate
2,6-dibromophenol
bromoxynil
CH3
H3C
CN
DHDBM
CN
Cl
Cl
Cl
O
H
CH2 N
HO2C
CH2 P
O
OH
H2N
CH2 P
OH
Dichlobenil
Chlorthiamid
H3CO
OH
OH
AMPA
Glyphosate
OCH3
H3CO
N
OCH3
N
SCH3
N
O
N
N
N
CH3
O
H
N
SCH3
N
H3C
N CH
H
CH3
COOH
N
CH3
CH2
N
N
H
H3C
N
H
CH2
N
NH2
CH3
CO2Pr
M2
ZJ0273
OH
N
CH2
Irgarol
H2
C
CH2
OH
N
(CH2)2CH3
H3C
H3C
O
CO2CH3
Alloxydim
[(CH3)2 CHCH2]2NC(O)SCH2CH3
Butylate
M1
CH2
(CH2)2CH3
H3C
CH3
H3CO2 C
O
Cl
[CH3(CH2)2]2NC(O)SCH2CH3
A1
EPTC
[CH3(CH2) 2]2NC(O)SOCH2CH3
EPTC sulfoxide
[(CH3)2CHCH2]2NC(O)SOCH2CH3
Butylate sulfoxide
Fig. 7. Chemical structures of herbicides and degradation products discussed
446
Herbicides, Theory and Applications
compound were not detected in significant amounts within a few weeks after application.
However, good control of weeds was observed in these fields. The good performance of this
herbicide despite its lack of persistence was probably due to the by-products formed. Other
degradation products effective on controlling target weeds are ETCP sulfoxide, which is the
oxidation degradation product of the herbicide thiocarbamate EPTC (Fig. 7)
(Somasundaram & Coats, 1991).
Relatively little is known of the potential phytotoxicity of degradation products and little
literature exists on this topic.
Just as herbicides can be selective between plant species, metabolites can differ in their
phytotoxicity pattern. Metabolites can have different mechanism of action and selectivities
than the parent compound. For instance, bromoxynil (Fig. 7) is biological degraded in soil
into 2,6-dibromophenol that is a potent growth regulates (Frear, 1976).
Kawahigashi et al., (2002) showed that the phytotoxicity of the de-ethylated metabolite of
ethofumesate, DHDBM (Fig. 7), to rice plants was at least four times greater than that of the
parent compound. Reddy et al., (2004) suggested that soybean injury to glyphosate-resistant
soybean from glyphosate is due to its degradation product formed in plants,
aminomethylphosphonic acid (AMPA). The degradation product of Irgarol 1051, M1 (Fig. 7)
in the root elongation inhibition bioassay, showed a phytotoxicity at least 10 times greater
than that of Irgarol and six other triazine herbicides (Okamura et al., 2000).
In many cases, degradation products are not phytotoxic as in the case of herbicide
metsulfuron-methyl where the phytotoxicity of metsulfuron-methyl bound residues was
mainly caused by the parent compound that became available during plant growth and no
other metabolites detected (Ye et al., 2003).
As it has been explained before in this chapter, bioassays are important tools to screen
herbicide residues and can be useful to exclude the occurrence of low levels of phytotoxic
residues in soil (Hsiao & Smith, 1983; Sandín-España et al., 2003). In this sense, we have
studied the phytotoxicity of alloxydim and its main metabolite with hydroponic bioassays
on wheat (Sandín-España et al., 2005b).
Degradation product of alloxydim (Fig. 7) was the main product obtained in its degradation
with chlorine, one of the most common disinfectant agents employed in water treatment.
Fig. 8. Response of wheat plant to different doses of alloxydim and its metabolite
The Bioassay Technique in the Study of the Herbicide Effects
447
Results showed that after seven days of treatment the most sensitive biological parameter
for alloxydim was root length, causing in the root growth of plants a 40% of significative
reduction at the dose of 0.3 mg.l-1 and 94% of reduction at the highest dose. However, the
effect of metabolite on root growth only occurred at the highest metabolite dose (10 mg.l-1),
causing a 32% of reduction in root growth. Root system control presented normal growth
(main tap root plus secondary roots), while those from injured plants were increasingly
deformed (main tap root twisted and lack of secondary roots). Root growth was increasingly
affected with doses from 0.1 mg. l-1 to the highest dose (Fig. 8).
It is also important to highlight that a part of the degradation products formed in the soil
from the herbicides remains as bound residues (Bresnahan et al., 2004; Albers et al., 2008;
Rice et al., 2002). This non-extractable residue retained by organic matter in soil is
bioavailable to plants. Therefore this portion of residue of degradation products and/or
metabolites is underestimated if bound residues may be released from soil and absorbed by
plants.
A study on phytotoxicity of soil bound residues of herbicide ZJ0273, a novel acetolactate
synthase potential inhibitor, to rice and corn, revealed that one of his main metabolite (M2)
(Fig. 7) played a dominant role in the inhibition effect on the growth of rice seedlings. In the
extractable residues released from bound residues, the most biologically active M2
accounted for the largest fraction in all soils. Therefore, it was concluded that the main cause
of phytotoxicity from exposure to soil bound residues of ZJ0273 is related to the release of
ZJ0273 and its degradation products and the subsequent inhibition on ALS by M2 (Han et
al., 2009).
In recent years it has been revealed the lack of data on the phytotoxic effects of herbicide
residues. In this sense, it is necessary to study and develop simple methods for evaluating
the environmental impact of these products based on hard scientific data. Besides, though
most degradation products of herbicides are converted into less toxic or nontoxic
compounds, some degradation products, because of their characteristics, may be
biologically and/or environmentally active. Thus, major degradation products should be
also considered in evaluating the potential bioactivity and environmental contamination of
the parent compound. From these studies should be able to derive recommendations for
agricultural practices for the use of these products to be environmentally friendly in general
and in particular the agricultural environment capable of guaranteeing the future
productivity of farms in the context of sustainable agriculture.
4. Acknowledges
This research was supported in part by the CICYT projects RTA 2008-00021-00-00 and RTA
2008-00027-00-00.
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21
Plasmodesmata: Symplastic Transport
of Herbicides within the Plant
Germani Concenco1 and Leandro Galon2
1D.Sc
in Crop Production, International Researcher at Valmont Industries, Omaha, NE,
in Crop Production, Professor at Federal University of Pampa - UNIPAMPA
1USA
2Brazil
2D.Sc.
1. Introduction
When studying herbicide absorption, translocation, metabolism, and mode of action,
transport pathways are usually referred to as apoplast (dead cells) and symplast (living
cells) as simple synonyms of xylem and phloem. However, the behavior of an herbicide
within a plant greatly depends upon several factors and its movement accomplished by
different routes and processes.
If an herbicide takes too long to be absorbed after application, it will be more available for
processes that would greatly reduce its absorption – rain, hot sun, and wind, among others.
After the herbicide is absorbed, it needs to be quickly translocated from the point it was
absorbed to the site of action. If it is not, chemical processes will take care of transforming
the herbicide into non-toxic or less-toxic metabolites.
For a quick and efficient translocation, several pathways act together in a relatively
dependent manner – everything is connected at different degrees of the plant’s metabolic
rate by the time reactions occur. For example, when a plant is under water stress, it may
react differently to the same dose of herbicide usually applied to that species. In addition,
phloem will only translocate an herbicide quickly if this compound is efficiently loaded into
the phloem. From the leaf surface to the site of action, herbicide movement involves passage
through the apoplast and symplast by several pathways, one of which is via
plasmodesmata.
In the classical concept of Munch (1930), plasmodesmata are considered to form simple
cytoplasmic bridges between neighboring plant cells in order to create the symplasm. This
concept has dominated, if not monopolized, the thinking of plant biologists and, in
particular, plant physiologists over the last few decades. Recent advances in ultra-structural,
physiological, and molecular studies on plasmodesmata indicate that this simple view is in
need of revision (Lucas, 1993). Plasmodesmata are plasma channels connecting neighboring
cells that allow the exchange of informational, functional, and structural molecules and
xenobiotics among cells of the same "group" (domain) , both apoplastically and
symplastically. Cells of the same domain behave as functional units, and substances are able
to move between them at rates above the observed for trans-membrane movement.
Plasmodesmata participate symplastically in long-distance movement, both by association
with phloem and interchange between neighboring domains. When the plant is under
stress, and xylem and phloem flux is slower, plasmodesmata could be more participative in
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long-distance translocation of systemic herbicide molecules. Plasmodesmata play a crucial
role in transporting materials and signaling molecules intercellularly in higher plants. In the
last decade, it has been discovered that plasmodesmal function is much more complex than
previously thought, and more molecular and in vivo studies are necessary to discern the
absolute structure and function of these interesting cytoplasmic channels (Hannahs, 1997).
The importance and role plasmodesmata play on intercellular transport of molecules –
including molecules of herbicides – are explored in this chapter.
2. Herbicide absorption and translocation
The biological activity of herbicide within a plant is a function of absorption, translocation,
metabolism, and susceptibility of the plant to the herbicide and/or to its metabolites.
Because of that, the simple act of an herbicide reaching the leaf surface – or roots, in the case
of a soil-applied herbicide – does not guarantee its effective action (Silva et al., 2007). The
herbicide needs to be absorbed and translocated to reach the organelle where it will express
its herbicidal activity. An active ingredient may affect several metabolic processes within the
plant; however, the first biophysical lesion it causes will usually characterize its mechanism
of action (Ferreira et al., 2008). The place where an herbicide effectively inhibits a biological
process receives the name “site of action” (Hager & Sprague, 2002).
The main route of herbicide penetration in plants depends on a series of factors related to
the plant, environment, and characteristics of the herbicide formulation and chemistry (Silva
et al., 2007). After the herbicide passes through the first barrier – usually the cuticle - it
should be moved to the site of action. Young plants incapable of regenerating from buried
organs (tubercules, bulbs, rhizomes) after an herbicide application may easily be killed by a
contact herbicide, once adequate coverage of the plant is reached during the application. For
plants capable of regenerating from reserve organs, however, a given amount of herbicide
must be able to move from the point where it was absorbed to the buried organs to ensure
that the plant will be killed as a whole (Silva et al., 2007). In this case, the long-distance
transport is even more important for efficient herbicide activity.
In a simplified way, the movement of an herbicide within the plant can be accomplished by
two main routes: apoplast and symplast. Apoplast is a group of dead cells - including cell
walls, intercellular spaces, and xylem - which form a continuum where water and solutes
have the ability to move (Jachetta, 1986). Symplast is defined as the total mass of living cells
in a plant, which forms a long and complex net along the plant both through phloem and
through direct connections between neighboring cells that are usually in the same organ –
plasmodesmata (Hay, 1976). These structures are also responsible for connecting
neighboring cells in the phloem to form the continuum vase along the plant.
The main representatives of the apoplast and symplast are respectively xylem and phloem,
and transportation through these routes is not completely independent – xylem-to-phloem
transfer cells usually occur in specific parts of the plant (Figure 1). Since the translocation by
xylem is unidirectional (from roots to leaves), it may be considered secondarily important
for translocation of leaf-applied herbicides to fast-growing organs with low rates of
respiration, such as buds, flowers, or fruits (Neumann, 1988). This task is fulfilled by the
phloem. Some herbicides may present completely distinct behavior in relation to
translocation as a function of the way they are being translocated. For example, atrazine
behaves as a contact herbicide when applied to leaves (not translocated through phloem),
but assumes a systemic behavior (meaning it moves within xylem) when applied to roots
(Silva et al., 2007).
Plasmodesmata: Symplastic Transport of Herbicides within the Plant
457
Fig. 1. Important sites of xylem-to-phloem solute transfer occur at leaf traces and minor
veins of leaves. Source: Buchanan (2005).
The phloem is a network comprised of living cells, which goes from the tip of the root to the
end of the leaves; within this network, translocation of photosynthates and many
compounds occurs via sieve plates on both ends of the cells. Translocation through phloem
is fundamental in the distribution of either natural or synthetic chemical compounds from
mature leaves to growth regions in roots and stem (Vidal, 2002). There are mathematical
models that allow efficient calculation of translocation rates of xenobiotics via phloem,
according to membrane permeability, size of the phloem loading area, and other parameters
(Tyree et al., 1979).
After the herbicidal molecule is translocated via phloem and entered into an adjacent cell,
neighboring cells also need to be achieved to allow for proper action of the herbicide. This
movement, which is usually a short distance, can be done through four primary ways: (1)
apoplastic distribution or mass flow; (2) passive diffusion in favor of an electro-chemical
gradient; (3) active translocation involving protein carriers at the expense of ATPs; and (4)
movement and broadcast via plasmodesmata (Figure 2).
Both apoplastic and passive diffusion, in favor of an electro-chemical gradient, allow for
relatively slow rates of movement for both molecules bigger than simple ions, whose size
typically reaches only a few dozen Daltons (Da), and small molecules with an electric
charge. These diffusions include passage by the plasma membrane of the cell of origin, cell
wall (a tangle of cellulosic fibers stabilized normally by hemicellulose and pectin), middle
lamella, and the cell wall and plasma membrane of the destination cell (Buchanan et al.,
2005). Maximum rates of translocation through the membrane are approximately 1.0x10-8 cm
s-1 for ions such as K+ and Na+ (Taiz & Zeiger, 2004). The actual rate of movement observed
for glyphosate through the membranes is 1.7x10-8 cm s-1, or 0.0006 mm h-1, which is very
similar to the observed rates for K+ and Na+ (Gougler & Geiger, 1981). Each membrane has a
characteristic composition of proteins and lipids, making translocation also dependent on
tissue or organs (Alberts et al., 1999). Active translocation can contribute to the movement of
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Herbicides, Theory and Applications
glyphosate to the interior of the cell. Inside this category of xenobiotics, this herbicide
possesses the rare abilityof transposing the plasma membrane via a protein carrier. Due to
phosphate carriers contained in the plasma membrane, a link is created between glyphosate
and the carrier, translocating it to the cytoplasm (Denis & Delrot, 1993).
Fig. 2. Possible ways of herbicide translocation between plant cells. Among the depicted
processes, only the active translocation at the expense of ATP demands energy. Source:
Neumann, 1988.
3. Plasmodesmata
In a simple way, plasmodesmata are plasma membrane channels that pass through the cell
wall, which not only allow for communication between plant cells, but also facilitate direct
intercellular translocation of ions, photosynthates, growth regulators, and macromolecules
of xenobiotics with similar characteristics (Robards, 1976). They provide a direct cytoplasmic
connection between neighboring cells through cell walls. The properties of these
communication channels are a factor in the establishment of the so-called "symplastic
domains" – a group of cells that communicate and act as a physiological development unit
with the ability of translocating macroproteins and RNA (Figure 3). Cells of the same
domain are able to freely exchange information with each other while the communication is
restricted between domains, occurring by translocation through the cell wall (Oparka &
Roberts, 2001).
A typical plant cell may have between 103 and 105 plasmodesmata connecting it with
adjacent cells, equaling between 1 and 10 per µm2. Plasmodesmata are approximately 4060nm in diameter at the mid-point and are constructed of three main layers: the plasma
membrane, the cytoplasmic sleeve, and the desmotubule (central rod). They can transverse
cell walls that are up to 90nm thick (Robards, 1976). There are three classical schematic
models which try to clarify the plasmodesma structure (Figure 4).
The symplastic transport of substances through plasmodesmata can occur in two ways: via
cytoplasmic connection or via endoplasmic reticulum. In Figure 3, two distinct regions can
be seen at the canal of plasmodesma: (1) a cytoplasmic sleeve, which connects the cytoplasm
of neighboring cells, and (2) a central rod, which connects the endoplasmic reticulum of
neighboring cells. Concerning the herbicide transport, the cytoplasmic connection is the
important route for symplastic transport of herbicides from cell to cell, via plasmodesmata.
Plasmodesmata: Symplastic Transport of Herbicides within the Plant
459
Fig. 3. Schematics depicting how plasmodesmata connect cytoplasms of neighboring cells. A
plasmodesmata’s pore diameter averages 50nm and allows diffusion of water and small
molecules among cells. In order to allow translocation of molecules that are larger than the
exclusion limit, the diameter of the pore can be modified by rearranging proteins connected
to the inner surface of the pore. Affinity between some compounds and proteins in the inner
surface of the canal make possible the flux of molecules larger than the Size Exclusion Limit
(SEL). Source: Buchanan (2005).
Fig. 4. Computer-generated models of the plasmodesmata structure, used for describing the
three-dimensional characteristics of the plasmodesmal canal. (A) Ding model; (B) Overall
model; (C) Radford model. All models depict the central rod (endoplasmic reticulum) and
the space between the central rod and the cell wall (filled with cytoplasm). Source: Hannah
(1997).
Plasmodesmata are not randomly scattered in a cell wall, but are rather grouped in specific
points called “punctuations” or “pits.” Plasmodesmata are formed when portions of the
endoplasmic reticulum are trapped across the middle lamella as new cell wall is laid down
between two newly divided plant cells; these eventually become the cytoplasmic
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Herbicides, Theory and Applications
connections between cells (primary plasmodesmata). Here, the wall is not further thickened,
and depressions, or thin areas (“pits”), are formed in the walls; depressions normally couple
between adjacent cells. Alternatively, plasmodesmata can be inserted into existing cell walls
between non-dividing cells (Lucas et al., 1993). It is usually the formation of secondary
plasmodesmata, which appear after a secondary wall is created. In grafting for example, two
mature cells are side-by-side and are obliged to establish communication between each
other (Figure 5). In this situation, the secondary wall is thinned and a new pit field is
formed (Buchanan, 2005).
Fig. 5. Formation of a new punctuation field – “pit” (C) and secondary plasmodesmata (D,
E, F) in mature cells. Source: Adapted from Buchanan (2005).
Recent studies have launched new visions about symplastic isolation and traffic of large
molecules during the growth and development of a plant, confirming the role of
plasmodesmata in controlling and mediating intercellular communication (Kragler et al.,
1998; Tan et al., 2005). The greatness of the flow via plasmodesmata is usually measured by
either a comparison between independent fluxes, which are estimated by concentration
gradients, and diffusion coefficients, or by the hydrodynamic radius of the molecule, which
is the amount of water a molecule carries around itself (Hatch & Slack, 1970; Terry &
Robards, 1987). The size exclusion limit (SEL) of plasmodesmata corresponds to the
maximum size of a “non-favored” molecule that is capable of crossing the plasmodesma and
is both linked directly to the diameter of the canal and the affinity between the molecule and
proteins embedded in the interior of the pore (Figure 3). The most accepted theory among
researchers is only molecules smaller than 1 kDa (kiloDalton) move freely among cells of the
same domain (Oparka & Roberts, 2001). However, molecules greater than 1 kDa can pass
through plasmodesmata if they have some degree of affinity with proteins embedded in the
canal (Taiz & Zeiger, 2004; Buchanan, 2005).
In addition, the SEL decreases with increasing age of the organ; for example, newer parts of
the plant have the ability to carry larger molecules (Crawford & Zambrysky, 2001). This may
help explain why plants become less susceptible to herbicides at more advanced stages of
development. Formation of a less permeable, thicker secondary wall, among other factors,
also limits the translocation of herbicides in older plants. These factors contribute to larger
herbicide doses that are required to control older plants, until a certain point of
development (Chamel, 1988). At maturity, plasmodesmata present very low conductance
and contribute to a small extent for systemic distribution of large molecules. In addition, the
conductance depends not only on the diameter of the canal, but also on the affinity between
the molecules being conducted and the proteins embedded in the interface of the canal.
In addition to the presence of symplastic transport through plasmodesmata, apoplastic
transport is also present, as shown in Figure 6. However, at the time of this publication, no
studies were found to explore this pathway of transport via plasmodesmata in relation to
apoplastic herbicide translocation.
Plasmodesmata: Symplastic Transport of Herbicides within the Plant
461
Fig. 6. Schematics showing symplastic and apoplastic movement pathways via cell-to-cell
communication (plasmodesmata). Source: Wikipedia, licensed under GPL terms (2010).
4. Herbicide translocation through plasmodesmata
All herbicides applied to the leaves of plants with C4 metabolism must penetrate the
vascular bundle sheath cells in order to achieve xylem and/or phloem (Vidal, 2002). Once
these cells are highly lignified (suberin may also occur in some monocots), the movement of
the herbicide molecules from cells in the mesophyl to the cells of the vascular bundle sheath
occurs exclusively by plasmodesmata present this interface (Osmond & Smith, 1976). This is
the only way the herbicide can reach the phloem, which is located internally compared to
the sheath cells (Taiz & Zeiger, 2004). The movement of larger molecules, such as herbicides,
would likely be limited through membranes; even molecules with only four carbon (ie:
malate or aspartate), which are responsible for translocating CO2 fixed in the mesophyll to
the sheath cells in the vascular bundle, are dependent on translocation via plasmodesmata
(Figure 7). The translocation of malate from mesophyll to cells at the vascular bundle sheath
is between 100 and 1,000 times greater than the maximum allowed translocation via
biological membranes (Buchanan et al., 2005).
Fig. 7. Vascular bundle sheath (BS) and mesophyll (M) cells of sugarcane. It is possible to
observe the suberized layer (SL) in the primary wall of the bundle sheet cells and
punctuated spot with a plasmodesmata(P) crossing it. Source: Osmond & Smith (1976).
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Herbicides, Theory and Applications
Sterling et al. (1990), who worked with symplastic and apoplastic translocation of bentazon,
determined that the translocation of this herbicide molecule was reduced by an application
of exogenous CCCP, a metabolic inhibitor (Wagatsuma, 1983; Zhang & Taylor, 1991; Rincon
& Gonzales, 1992). These researchers associated the reduction in translocation of bentazon
with the increase in the gradient of protons between neighboring cells. Presently, it is
common knowledge that CCCP acts on the functional control of a cell as a whole; increased
concentration of CCCP may result in the reduced capacity of translocation through
plasmodesmata (Buchanan et al., 2005). In addition, Sterling et al. (1990) discussed the
possibilities of bentazon broadcasting through membranes by considering possible ways of
movement, such as simple diffusion, facilitated diffusion, use of carriers, and competition by
a carrier between different subtracts. However, these types of translocation usually occur
when cells of the same domain show similar concentrations of the herbicide between them
and higher concentrations than the external environment. In this scenario, the herbicide is
translocated through membranes, reaching cells from other symplastic domains to all others
in the same domain by direct cytoplasmic connections. It would be incorrect to assume that
a relatively large organic molecule, such as an herbicide, would prefer to cross two cell walls
and two plasma membranes instead of being carried by a continuous cytoplasmic tube
between cells in the same domain.
Another study describes the application of 10 droplets of chlorsulfuron on the third
definitive leaf of a seedling of field pennycress (Thlaspi arvense) with five definitive leaves
(Bestman et al., 1990). Chlorsulfuron is an herbicide that belongs to the group of
sulfonylurea, inhibitor of the enzyme acetolactate synthase (ALS), involved in the synthesis
of branched-chain amino acid valine, leucine, and isoleucine (Leite et al., 1998). The rate of
efflux of photosynthates from leaves that did not receive a direct application of the herbicide
in treated plants was reduced only 24 hours after the application of chlorsulfuron.
Movement of this herbicide was slow, indicating either that xylem and phloem were
probably not the preferential translocation pathways, or that the herbicide took too long to
reach xylem and phloem. Translocation probably occurred between cells due to the fact that
cells from different sheets are relatively distant, which means they would not belong to the
same symplastic domain. In this case, translocation across membranes associated with the
phloem may have been significant.
ALS-inhibiting herbicides can use characteristics of dissociation to act more efficiently in
cells belonging to the same domain. As the pH in the exterior of the cell is approximately
5.5, ALS-inhibiting herbicides are in a non-dissociated form and are thus able to penetrate
the cell more easily. Once at the cytoplasm, where the medium is more alkaline (pH
approximately 7.5), these herbicides disassociate and turn into the most active, and less
capable, translocating form of the molecule. Because the dissociated form is less capable of
spreading to the exterior of the cell, the molecules of these herbicides get "stuck" in the
cytoplasm; this behavior receives the name "ionic trap" (Vidal, 2002). In this situation, the
herbicide moves freely among cells of the same domain because, in essence, "a single
cytoplasm occurs" between cells of the same domain (Crawford & Zambryski, 2001).
Penetration of these herbicides in a single cell enables their distribution to all other cells
belonging to the same symplastic domain (Jachetta et al., 1986). In addition, plasmodesmata
may have significant participation in translocation of molecules that have pKa (dissociation
constant) below the pH of the xylem, which is approximately 5.5; it may also assist
symplastic movement of these molecules by other routes besides phloem (Vidal, 2002).
Plasmodesmata: Symplastic Transport of Herbicides within the Plant
463
The movement through plasmodesmata is relevant also in translocation of macromolecules
that carry information (RNA) to neighboring cells. In this way, the behavior of cells in a
given domain is not isolated, which can thus act as a functional unit (Jorgensen & Lucas,
2006; Lucas et al., 2009). Although studies related to plasmodesmata and herbicides are
limited, information of movement of other macromolecules similar in size to herbicidal
molecules can be adapted. In a trial that grafted tomato plants, the data determined that a
macromolecule which carries information responsible for a leaf’s deformation, known as
"Mouse’s Ear", encoded at the roots of the rootstock, reached the meristem of the graft, and
caused the deformation (Kim et al., 2001). Since this compound was not translocated via the
transpiratory pathway, the most probable route of translocation identified by the
researchers was through cytoplasmic connections of cells both within the same domain and
between interactions of different domains (Figure 8). The data highlighted the participation
of plasmodesmata in the long-distance translocation of the molecule.
Being known the capacity of molecules to move cell-by-cell, the acropetal long-distance
translocation of herbicides can occur by apoplast (xylem) or via symplast (plasmodesmata),
provided that the characteristics of the molecule in relation to polarity, electric charge and
dimensions, allow this translocation. Even the translocation in the phloem is accomplished
through plasmodesmata present in the interface between phloem cells. If the pesticide was
applied to the surface of the plant and was correctly absorbed, and this plant later is
submitted to moderate water stress that causes closure of stomata and a consequent
reduction of translocation by xylem, herbicide can still be translocated at some rate via
plasmodesmata (Alberts et al., 1999). In most plants, translocation of glyphosate is typically
fast as it is essential for herbicidal activity. After penetration in leaves, glyphosate may be
translocated both by phloem sieve tubes, which also involves plasmodesmata, and cell-tocell in the same symplastic domain via plasmodesmata, reaching all cells of the domain
quickly (Franz et al., 1997; Jachetta et al., 1986). In fact, both translocations are
complementary and non-competitive due to the fact that plasmodesmata act on loading and
unloading the phloem (Sowinski et al., 2003). Glyphosate is one of the few studies where
herbicide translocation via plasmodesmata is considered.
Fig. 8. Study showing the movement of informational substances codified at the roots of the
rootstock and carried to the meristem of the graft, where the mutation known as “Mouse’s
Ear” was present on the newly developed leaves. Source: Adapted from Kim et al. (2001).
464
Herbicides, Theory and Applications
There are also translocation differences depending on the pH of the solution in which the
herbicide is diluted. In one study involving absorption and translocation of sulfentrazone
and glyphosate by plant roots, research determined that with the solution’s decrease in pH,
absorption of sulfentrazone increased, along with its solubility (Ferrell et al., 2003). In turn,
glyphosate was not as dependent on pH. While the pKa of sulfentrazone was 6.5,
glyphosate had a sequence of pKa (0.8, 2.3, 6.0, and 11.0), which shows different
configurations as a function of the pH (Grey et al., 2000; Sprankle et al., 1975, Coutinho &
Mazo, 2005). It is believed that at physiological pH, glyphosate is considered a zwitterion,
behaving as a divalent anion with the possibility of being strongly complex with some
divalent metal cations (Devine et al., 1993). This molecule has the ability of changing poles
when it reaches the cytoplasm, acquiring a net negative charge promoted by deprotonation
due to physiological pH, and contributing to its retention in the symplast (Wauchope, 1976).
Even with this behavior, absorption and translocation of glyphosate was less affected by the
pH than sulfentrazone. The role of plasmodesmata in glyphosate translocation is known,
indicating that they act not only in conjunction with vascular system, but also in a semiautonomous way (Jachetta et al., 1986). These characteristics are particularly important for
the translocation of soil-applied herbicides where xylem has an important – but not
exclusive – role in the translocation of these macromolecules.
5. Herbicide translocation and plasmodesmata in older plants
Older plants have greater dry mass, leaf area, and, consequently, a greater transpiratory
rate. For example, consider a barnyard grass (Echinochloa crusgalli) seedling with 3 – 4 leaves,
when herbicide is typically applied, and another plant at the stage of 2 – 3 tillers; both plants
may present high metabolic rates because they are in full growth, but the numerical volume
of acropetal water flow is surely higher in the plant at the stage of 2 – 3 tillers under the
same environmental conditions (Taiz & Zeiger, 2004). When using a soil-applied herbicide,
which is absorbed by the roots of both plants, it would be efficiently translocated via xylem
due to the high transpiratory flow in both plants. However, the barnyard grass plant at the
stage of 2 – 3 tillers is less susceptible to the herbicide than the plant with 2 – 4 leaves.
Besides the causes already discussed by Vidal et al. (2002), in mature cells in a plant in active
growth, the SEL of plasmodesmata is smaller and herbicide movement is more dependent
upon the transpiratory flux. Symplastic translocation of molecules via plasmodesmata in
these cells is severely reduced; in comparison to when the cell is developing and has the
ability to exchange essential informational molecules, ions, and regulators, the SEL may be
up to 50 times lower when the cell is mature and does not require a large influx of molecules
(Oparka & Roberts, 2001).
As previously discussed, the SEL of a plasmodesma allows relatively free passage of
molecules as large as 1 kDa through young organs. Considering the SEL can be reduced to
approximately 50 times lower, a mature plant plasmodesmatal SEL may only, in general
terms, allow passage of molecules around 20 - 50 Daltons (Da). Most herbicide molecules
are bigger than 100 Da and smaller than 500 Da (Table 1). This information strongly suggests
that plasmodesmatal reduction in SEL is one of the great responsibilities due to lower
susceptibility of older plants to herbicides. As previously discussed, the SEL can be of
smaller importance if the herbicidal molecule presents some degree of affinity with carrier
proteins embedded in the inner surface of the plasmodesmata. This affinity may allow
distinct rates of movement through plasmodesmata for herbicidal molecules of similar size.
Plasmodesmata: Symplastic Transport of Herbicides within the Plant
465
Movement deficiency, which is caused by reduced absorption and/or translocation, of a
given herbicide within the plant may be the reason for herbicide tolerance and/or selectivity
in many crops and weed species (Hess, 1985; Ladlie, 1991). In addition, different rates of
herbicide translocation, acropetaly or basipetaly, may result from alterations made at the
genetic level and confer resistance to a plant due to an active ingredient usually lethal to that
species. Reduced translocation of herbicides as a mechanism of resistance is extensively
researched, and was identified for example, in Italian ryegrass (Lolium multiflorum) and
Wimmera ryegrass (Lolium rigidum) (Ferreira et al, 2006; Lorraine-Colwill et al, 2002). Other
plants, however, do not show differences in relation to the absorption and translocation of
herbicides between resistant and susceptible biotypes (Carey et al., 1995; Dias et al., 2003). In
cases where reductions on herbicide translocation occur, it is essential to investigate whether
there is a reduction of plasmodesmata SEL or reduction in the association with its function
of phloem loading/unloading. In addition, for herbicides carried via xylem and/or phloem,
the role of plasmodesmata in acropetal translocation is essential in the same way it is for
other organic molecules (Taiz & Zeiger, 2004).
The size of herbicidal molecules usually is not a limiting factor for translocation via
plasmodesmata in younger plants because it generally lies between 150 Da and 450 Da
(Table 1), and molecules up to 1 kDa usually have relatively free passage through
plasmodesmata in younger plants (Taiz & Zeiger, 2004). However, size can be a limiting
factor in older plants, as previously discussed. Herbicidal molecules are typically smaller
than many proteins or enzymes translocated via plasmodesmata, and proteins that have a
role in translocating other substances through the plasmodesmata, such as protein MP30,
connected to the v-RNA (viral RNA), which makes traffic possible (Kragler et al., 2003).
Besides size, other characteristics of molecules, such as electrical charges, can be important
and can allow the passage of certain molecules in lieu of others (Devine & Hall, 1990).
6. Plasmodesmata and herbicide translocation under water stress
When plants are subjected to stress, metabolic reactions tend to decrease proportionally.
Because herbicides are less translocated and, as a consequence, become more available to
reactions of metabolization, conjugation, or trapping, many herbicides have their action
strongly reduced if plants are under stress before or after application (Cataneo et al., 2003).
In auxin-like herbicides, the herbicidal activity is typically resumed when metabolism is
increased after water stress. Auxin-like substances previously either applied (synthetic) or
produced (natural) are able to reach the site of action after stress is removed and the plant
reaches the usual state of turgescence (Drake & Carr, 1978). Although plasmodesmata are
not the only route of translocation these substances take, they can play an important role in
the translocation of auxin-like herbicides, and possibly other classes of herbicides, under
moderate water stress.
7. Conclusions and new insights
In order to determine if a given compound, or chemical group, has the ability to manipulate
the size exclusion limit of the canal, mainly when it is reduced as the plant ages, more
studies are needed to clarify the existence of affinity between certain herbicidal molecules
and proteins embedded in the inner surface of plasmodesmata. Proved existence of such an
affinity may favor molecular translocation, regardless of its size. Studies also need to be
466
Herbicides, Theory and Applications
Chemical
Common Name
Size
Chemical
Common Name
Size
Structure
And Formula
(Da)a
Structure
And Formula
(Da)a
Atrazine
C8H14ClN5
215.7
Bispyribacsodium
C19H18N4O8
430.2
Ametrine
C9H17N5S
227.3
Quinclorac
C10H5Cl2NO2
242.0
Nicosulfuron
C15H18N6O6S.H2
O
428.4
Sucrose
C12H22O11
342.3
169.1
Malate
C4H6O5
134.1
Trifloxysulfuron
sodium
C14H13F3N5O6SN
a
459.3
Aspartate
C4H7NO4
133.0
Sulfentrazone
C11H10Cl2F2N4O3
S
387.1
---
PEP carboxilaseb
2.7 x 105
Bentazon
C10H12N2O3S
240.3
---
v-RNA MP30c
3 x 104
2,4-D (eq. ácido)
C8H6Cl2O3
221.0
---
K
39.1
Penoxsulam
C16H14F5N5O5S
483.2
---
Na
23.0
Glyphosate
(acid eqv.)
C3H8NO5P
Original data calculated from the chemical formulas; b Source: Patel et al. (2004); c Source: Wolf et al.
(1989); Kragler et al. (2003).
a
Table 1. Dimensions of some herbicidal molecules, compounds, proteins, and ions. Federal
University of Viçosa, Brazil, 2010
Plasmodesmata: Symplastic Transport of Herbicides within the Plant
467
devoted to determine if the degree of similarity between a given herbicidal molecule and a
natural plant compound (such as for auxin-like herbicides) results in higher translocation
rates through symplast. More research should also be given to the participation of
plasmodesmata in the movement of systemic herbicides within the plant. Studies with
radioactively-marked products, and the intensification of research on herbicide physiology,
will help explain many aspects not fully understood involving herbicidal translocation via
xylem and phloem, and their association with the apoplast and symplastic domains.
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22
7-Keto-8-Aminopelargonic Acid Synthase
as a Potential Herbicide Target
In-Taek Hwang1, Dong-Hee Lee2 and No-Joong Park1
1Korea
Research Institute of Chemical Technology
2Genomine Inc.
Korea
1. Introduction
Agrochemicals are compounds that selectively kill or arrest the growth of pests and weeds.
They have played a significant role in agricultural production that provided for about 600
million people during the past 50 years. And also, the increasing world population seems to
be a major driving force for the need to enhance the output of food production per area
(Joseph, 2004). The agrochemical industry has been very successful in developing new
herbicides. New chemicals with improved properties, especially providing significantly
reduced application rates, and often new modes-of-action have been discovered, developed
and launched for diverse crops. This success has positively influenced agriculture as a
whole. However, in these days the introduction of new herbicides with either a new mode
of action or novel chemical classes has lingered. After launch of sulcotrione, a HPPD
herbicide at 1991, any herbicide with new mode-of-action has not been commercialized in
Europe, while there were 10 new modes-of-action commercialized between 1970 and 1985
and five new ones between 1986 and 1991 (Schulte, 2004; Rüegg, 2007).
Are there still opportunities for new herbicides, and what are the main search targets? Is
there still an incentive to invest into herbicide research? Many factors adding complexity are
agronomic, structural and technological changes, including the introduction of herbicidetolerant crops, and the high costs of development for new active ingredients, mainly due to
increasing regulatory requirements. In the light of increasing weed resistance to widely used
herbicides, securing diversity in agronomy as well as weed management is a key to efficient
crop production in future. Further problems to be addressed are the expectations regarding
weed shifts and/or the occurrence of (new) weed problems, due to the introduction of new
weed species by global travel or international transport of goods. Will certain plants profit
from climatic changes like global warming? The increase in the global population has
already led to an intensification of crop production and this must continue in order to secure
world food supply. In order to secure crop yields, chemical solutions for weed management
will continue to be the preferable choice for the predictable future because apparent
alternatives are not in sight. In order to support this objective, new herbicides, preferably
with new modes-of-action, need to be discovered and developed.
Until recently, the first step in agrochemical discovery was to take a collection of chemicals,
apply each to a small population of representative pests, and assess their efficacy by visual
inspection. This approach, sometimes impolitely called ‘spray and pray’, has its strengths
472
Herbicides, Theory and Applications
(Wolfgang et al. 2004, Manjula et al. 2010). It takes advantage of the obvious fact that it is
easier to wreck a system than to fix it. The testing of chemicals for efficacy on whole plants is
direct and integrates several important attributes that are needed for a crop protecting,
including its uptake, transport, metabolism and ability to inhibit an important target
protein. This approach does not require any detailed knowledge about the biochemical or
cellular target, which was important in an era when our understanding of biology was poor.
Following the initial identification of a lead chemical, intensive research and testing
followed to optimize its structure to understand its action, and provide data on its
environmental compatibility. However, the traditional approach depended on
serendipitously discovering a chemical structure that could enter the pest, be transported
within it, inhibit a key target, get away from detoxification, and also be modified to allow it
to fulfill increasing-regulatory criteria with respect to environmental compatibility. Testing
chemicals on whole organisms is logistically demanding, especially if the organisms are
relatively large, relatively large amounts of chemicals required, so the ability of chemists to
synthesize sufficient quantities of new structures becomes another serious limitation on the
number of chemicals that can be tested (Wolfgang et al. 2004).
Currently, studies of environmental compatibility have become an increasingly large part of
the entire research effort because the market was progressively occupied by effective
agrochemicals and because hurdles have been enlarged with respect to environmental
compatibility. Typically, 10-12 years are necessary to develop a lead chemical structure into
a market product. Since the discovery of the auxinic herbicides in the late 1940s, empirical
screening has led to the commercialization of around 270 active ingredients, representing 17
modes of action (Ott et al. 2003). Of these herbicides, approximately 50% act on one of only
three targets: acetolactate synthase, photosystem II, or protoporphyrinogen oxidase. In
addition, 10 herbicides account for 45% of the total market value. Thus, the major herbicides
on the market act on only a handful of targets, whereas it is quite evident that there are
many more ways to kill a plant.
In the past 10 years, strategies for the first steps of herbicide discovery have switched from
the testing of chemicals for efficacy on whole plants towards a target-orientated approach
using in-vitro assays against molecular targets, it is obviously essential to choose appropriate
targets. Therefore, target-directed high throughput screening (HTS) systems are
implemented as additional tools in addition to greenhouse screening. This requires the
identification of proteins whose inhibition will lead to the death or a severe growth arrest of
the objective organism. Many different approaches have been developed to identify bona fide
targets for in-vitro screening (Wolfgang et al. 2004, Manjula et al. 2010). Developments in
functional genomics could aid the development of assay systems for the evaluation of
chemicals for their suitability as lead structures in herbicide discovery (Ott et al. 2003).
2. How can we select bona fide target?
Most of the herbicides attack to the unique biochemistry of plants causing severe disruption
of the plant metabolism. These are usually inhibitors of specific enzymes binding either at
the active site of the enzyme or at some domain apart from the active site (Berg et al., 1999;
Dayan et al. 2009). Among the strategies to identify suitable targets, one strategy was to
assume that if an enzyme in a pathway or process is a target, then others in the same
pathway or process might be too. The problems and limitations of this ‘copy cat’ approach
have been nicely reviewed (Abell, 1996). Another strategy is to use literature survey to
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
473
identify ‘key’ or ‘limiting’ protein in the essential process that would catalyze irreversible
reactions and is highly regulated. Third approach, a revolutionary tool in herbicide
discovery, is to provide genetic evidence that the gene encodes the essential target protein
(Wolfgang et al., 2004). An antisense technology was used to demonstrate that
dehydroquinate dehydrase/ shikimate dehydrogenase constitutes an herbicide target
(Freund et al., 2002). Genetic pre-validation of targets in a systematic manner started in the
early 1990s, soon after routine methods for plant transformation were established. In its first
phase, this approach was focused on specific pathways that were thought to be essential for
the plant. The relevance of selected candidates was tested by partial inhibition of their
activity using co-suppression or antisense strategies, which resulted in the variable
inhibition of expression at the protein level. Typically, about 10% of the plants show a
significant decrease in protein expression, with the extent of the decrease varying from
30~90% depending on the transgenic line. The inhibition of expression at the protein level
can be quantified using measurements of enzyme activity in standardized conditions, and
compared with the inhibition of growth and other phenotypical or biochemical changes in
the plants. About 20% of the enzymes in these central pathways qualified as potential
herbicide targets. Crucially, they would not have been reliably predicted by the traditional
criteria for identifying ‘key’ regulated enzymes. Many highly regulated enzymes that catalyze
irreversible reactions could be strongly inhibited without a significant impact on growth,
whereas some of the experimentally validated targets were transporters or enzymes that
catalyze readily reversible reactions. The accumulation of large amounts of sequence
information from the late 1990s onwards, first as a result of expressed sequence tag (EST)
sequencing and later from full-genome sequencing, made it possible to use unbiased and
genome-wide strategies to identify targets. Nevertheless, the function of a large proportion of
genes is either only vaguely annotated (around 50%) or completely unknown (more than 30%).
Fig. 1. Process of target search with antisense technology
Genetic approaches include studies of conditionally lethal bacterial and plant mutants and
use of antisense technology (Fig. 1). In the absence of chemical leads with known sites of
action, targets for validation may be selected by the following criteria: the target is essential
to plants and, preferably, inhibition leads to multiple deleterious effects; the target is not
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Herbicides, Theory and Applications
present in mammals; the target has low intracellular concentration, i.e., has potential for low
use rates; and the proposed inhibitors of the target are synthetically accessible. Potent
inhibition of the selected target may still not produce an effective herbicide. Studies of the
uptake, translocation and metabolism of the inhibitor are needed to determine if the cause of
poor in vivo performance is due to these factors or to an intrinsically poor target. Without
full appreciation of each of these aspects of herbicide design, the chances for success with
the target-site directed approach are reduced. Promising target enzymes were established as
4-hydroxyphenylpyruvate dioxygenase, adenylosuccinate synthetase, AMP deaminase,
anthranilate synthase, ascorbate peroxidase, asparagine synthetase, auxin transport,
cytosolic glutamine
syhthetase, dihydro dipicolinate synthase, dihydrodipicolinate
reductase, carboxypeptidase A, chloroplast NADH dehydrogenase, cinnamyl-alcohol
dehydrogenase, geranylgeranyl diphosphate synthase, glutamate dehydrogenase, glutamate
synthetase, glutamate-1-semialdehyde aminotransferase, glutamate synthase, histidine
biosynthesis, imidazoleglycerol phosphate dehydratase, isopropylmalate dehydrogenase,
isopropylmalate isomerase, pheophorbidase, farnesyl transferase, p- hydroxyphenyl
pyruvate dioxygenase, plasma membrane H+-ATPase, pyruvate orthophosphate dikinase,
threonine dehydratase etc. (Kishore and Shah, 1988; Schloss and Aulabaugh, 1990; Abell et
al., 1993; Rendina and Abell, 1994; Pillmoor et al., 1995; Abell, 1996; Kleier and Hsu, 1996;
Subramanian et al., 1997; Bartley et al., 1999; Coulter, 1999; Cromartie et al., 1999; Ficarelli et
al., 1999; Grossmann and Schiffer, 1999; Saari, 1999; Hwang et al., 2001).
This chapter, which focuses mainly on antisense technology, assesses progress being made
and points to areas of research and new technologies regarding validation of the target
KAPAS that have the potential to further increase the effectiveness of KAPAS inhibitor
research. Successful design of novel herbicides based on the specific inhibition of selected
enzyme targets requires careful consideration of the choice of the target, mechanism of the
enzyme, design of potent inhibitors, delivery of the inhibitor to the target and metabolic fate
of the inhibitor. Validated targets, those that produce phytotoxic effects upon partial
inhibition, can be identified by genetic methods or by obtaining chemical leads. The aim of
our investigation is to confirm that a particular enzyme chosen is indeed essential for a plant
growth, and to validate the successful inhibition of the enzyme can lead to an herbicidal
effect. Herein, we describe the genetic validation of KAPAS as a potential herbicide target
enzyme, and chemical validation of TPTA as a lead compound for the potential KAPAS
inhibiting herbicide derivatives in vitro and in vivo.
3. Discovery of 7-keto-8-aminopelargonic acid synthase
In a pioneering pilot study (Jun et al., 2002), Arabidopsis antisense lines were created using
randomly selected cDNAs. These lines were then scored for mutant phenotypes and
analyzed genetically to exclude mutants that were clearly not caused by antisense inhibition
of gene expression. At present, about 10,000 genes have been put through the entire process,
including confirmation by independent retransformation, and 46 potential herbicide targets
have been identified. These are genes whose partial inhibition leads to chlorosis, necrosis,
and concomitant growth defects. They contain both known herbicide targets (e.g. glutamine
synthetase) and genes for which antisense has already been reported to mimic herbicidal
phenotypes (e.g. Rubisco and foredooming: NADP oxidoreductase) (Stitt et al., 1999;
Palatnik et al., 2003).
Among them, we have already described expressing antisense RNA of cloned plant genes
encoding for a potential herbicide target enzyme, 7-keto-8-aminopelargonic acid synthase
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
475
(EC 2.3.1.47, KAPAS, also known as 8-amino-7-oxononanoate synthase) in stably
transformed transgenic test plants (Hwang et al., 2003; 2010). Individual biotin auxotrophs
for KAPA synthase, transformed with antisense A. thaliana KAPAS (AtKAPAS) construct,
exhibited considerable phenotypic alterations such as growth inhibition, severe growth
retardation, yellow-green cotyledons and leaves as well as lethal phenotype (Fig. 1). We
performed the database screening of Arabidopsis genome sequence with bioF sequence of E.
coli, B. subtilis, and B. sphaericus. Through the analysis of cDNA isolated by PCR
amplification, AtKAPAS gene (TAIR accession number 3443298) contained an open reading
frame (ORF) of 1,410 base pairs encoding a putative protein of 469 amino acids with a
predicted molecular mass of 51.3 kDa. AtKAPAS contains the domain of predicted
aminotransferase class I and II in the C-terminal region, as well as the domain of putative
plasma membrane spanning region.
Fig. 2. Biosynthetic Pathway of Biotin in Microorganisms
Biotin is an essential vitamin and acts as a cofactor for a number of enzymes involved in
facilitation of CO2 transfer during carboxylation, decarboxylation, and transcarboxylation
reactions that are related to fatty acid and carbohydrate metabolism (Dakshinamurti and
Bhagavan, 1985; Alban et al., 2000). Bacteria, plants, and some fungi make their own biotin
directly from endogenous biochemical intermediates, whereas other organisms such as most
fungi and animals must obtain it from their surrounding environments. Therefore, the
studies on the inhibition of the enzymes involved in the biotin pathway will potentially offer
an attractive target for herbicide development. Since Eisenberg and Star (1968), Eisenberg
and Stoner (1971) and Pai (1975) have first investigated on the biosynthetic pathway of
biotin in Escherichia coli and Bacillus subtilis through biochemical studies including the
analysis of auxotrophic mutants.
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Herbicides, Theory and Applications
A number of researchers have widely investigated the biosynthetic pathway of biotin
through combined biochemical and genetic studies in the bacteria (Ploux and Marquet, 1992;
Alexeev et al., 1998; Huang et al., 1995). Also, there have been numerous studies on the
related gene for biotin synthesis in a variety of other microorganisms (Zhang et al., 1994;
Fleischmann et al., 1995; Bult et al., 1996). The ordinary pathway for biotin biosynthesis in
microorganisms and plants is shown in Fig. 1 (Patton et al., 1998). Most steps in the pathway
have been clearly investigated in the microorganism, particularly E. coli and Bacillus spp. E.
coli and B. subtilis have only one bio cluster consisted of five genes: bioABFCD and six genes:
bioWAFDBI, respectively (Bachman, 1990; Bower et al., 1996), whereas B. sphearicus has two
separate clusters consisted of seven genes: bioXWF and bioDAYB (Gloeckler et al., 1990). In
E. coli, BirA protein is known to act as a negative regulator for the expression of the biotin
operon by interaction in a region between bioA and bioB (Barker and Campbell, 1981). The
decarboxylative condensation of L-alanine and pimeloyl CoA into 7-keto-8-aminopelargonic
acid (KAPAS, also known as AON, 8-amino-7-oxononanoate), which is catalyzed by KAPA
synthase (EC 2.3.1.47), is the first committed step in the pathway of biotin biosynthesis (Fig.
2), and that was first identified in E. coli (Eisenberg and Star, 1968). KAPA synthase, the
product of the bioF gene from E. coli, is a homodimeric and pyridoxal 5’-phosphate (PLP)dependent enzyme. The molecular mass of the enzyme subunit is about 42 kDa. The enzyme
is structurally related to dialkylglycine decarboxylase, a type II aminotransferase when
compared to other PLP-dependent enzymes in the amino acid sequence and tertiary
structure (Toney et al., 1993). Recent studies by spectroscopic, kinetic, and crystallographic
techniques have shown the KAPA synthase from E. coli was structurally the apo- and
holoform (Alexeev et al., 1998), and the enzyme generates external aldimine complex
(Webster et al., 2000). The biotin biosynthesis is understood in detail in microorganisms, but
it is relatively poorly understood in plants. Particularly, there is little study on the KAPA
synthase of plants. Moreover, of particular interest is the evidence that plants synthesize
biotin using the same route as that in E. coli (Baldet et al., 1993). Biotin synthesis and
utilization in plants have been mainly investigated through analysis of biotinylated proteins
(Nikolau et al., 2003; Tissot et al., 1997), and isolation and characterization of auxotrophic
mutants (Meinke, 1994). Detailed mutational analysis such as that of auxotrophic mutants
has led to an inclusive understanding of biotin synthesis and regulation. The bio1 auxotroph
of Arabidopsis, first identified among the collection of recessive embryo-defective mutants,
has been shown to be defective in the early step of biotin synthesis, the conversion of KAPA
to 7,8-diaminopelargonic acid (DAPA) (Meinke, 1985). The bio2 mutants have shown to be
embryo-defective in the final step of biotin synthesis, the conversion of dethiobiotin to biotin
(Patton et al., 1998). These results suggest that the antisense disruption of AtKAPAS gene
cause lethality in the early stage of plant development. 7-keto-8-aminopelargonate synthase
is a pyridoxal 5’-phosphate-dependent enzyme which catalyzes the decarboxylative
condensation of L-alanine with pimeloyl-CoA in a stereospecific manner to form KAPA,
coenzyme A, and carbon dioxide in the first committed step of biotin biosynthesis. Perhaps
the most important role of biotin is in the carboxylation of acetyl-CoA to give malonyl-CoA,
which is the first step in fatty acid biosynthesis. Since fatty-acid synthesis is essential for the
growth and development of most organisms, biotin is thus an essential nutrient for plants
and animals. Plants, microorganisms, and some fungi biosynthesize their own biotin, while
animals necessarily require trace amounts of the vitamin in their diet. Therefore, inhibition
of the enzymes involving in the biotin biosynthesis pathway can cause irreparable damage
to plants, and for this reason, such enzymes can be useful targets for the rational design of
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
477
inhibitors in the hopes of finding new herbicides (Webster et al., 2000; Nudelman et al.,
2004). The aim of our investigation is to confirm that a particular enzyme chosen is indeed
essential for a plant growth, and to validate the successful inhibition of the enzyme can lead
to an herbicidal effect. Herein, we describe the genetic validation of KAPAS as a potential
herbicide target enzyme, and chemical validation of TPTA as a lead compound for the
potential KAPAS inhibiting herbicide derivatives in vitro and in vivo. We have described the
effects of expressing anti-sense RNA of cloned plant genes encoding for potential herbicide
target enzyme 7-keto-8-aminopelargonic acid synthase (EC 2.3.1.47, KAPAS, also known as
8-amino-7-oxononanoate synthase) in stably transformed transgenic test plants. Individual
biotin auxotrophs for KAPA synthase, transformed with anti-sense Arabidopsis thaliana
KAPAS (AtKAPAS) construct, exhibited considerable phenotypic alterations such as growth
inhibition, severe growth retardation, yellow–green cotyledons and leaves as well as lethal
phenotype (Fig. 3).
These results suggest that the anti-sense disruption of AtKAPAS gene causes lethality in the
early stage of plant development. 7-Keto-8-aminopelargonate synthase is a pyridoxal 5’phosphate dependent enzyme which catalyzes the decarboxylative condensation of Lalanine with pimeloyl-CoA in a stereospecific manner to form KAPA, coenzyme A, and
carbon dioxide in the first committed step of biotin biosynthesis. Perhaps the most
important role of biotin is in the carboxylation of acetyl-CoA to give malonyl-CoA, which is
the first step in fatty-acid biosynthesis. Since fatty-acid synthesis is essential for the growth
and development of most organisms, biotin is thus an essential nutrient for plants and
animals. Plants, micro-organisms, and some fungi biosynthesize their own biotin, while
animals necessarily require trace amounts of the vitamin in their diet. Therefore, inhibition
of the enzymes involved in the biotin biosynthesis pathway can cause irreparable damage to
plants, and for this reason, such enzymes can be useful targets for the rational design of
inhibitors in the hopes of finding new herbicides (Webster et al., 2000; Nudelman et al.,
2004). The aim of our investigation is to confirm that a particular enzyme chosen is indeed
essential for a plant growth, and to validate the successful inhibition of the enzyme can lead
Fig. 3. Sense and Anti-sense Expression of Target Gene in Arabidopsis
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Herbicides, Theory and Applications
to an herbicidal effect. Herein, we describe the genetic validation of KAPAS as a potential
herbicide target enzyme, and chemical validation of TPTA as a lead compound for the
potential KAPAS inhibiting herbicide derivatives in vitro and in vivo.
4. Genetic and chemical validation
4.1 AtKAPAS from transgenic E. coli
Total RNA isolated from leaf tissues of A. thaliana was used for preparation of
poly(A)+mRNA. Double-stranded cDNA was constructed from 5 μg of poly(A)+mRNA with
the Time Saver cDNA synthesis kit (Pharmacia, Piscataway, NJ, USA), using Oligo(dT)18 as
a primer. By performing PCR (polymerase chain reaction) with the two primers, the fulllength AtKAPAS cDNA was amplified and isolated from A. thaliana cDNA library prepared.
The primers encompassing the full-length cDNA of AtKAPAS, KAPAFB (5’CAAAAAGAATTCGACGACGACGACAAGATGGCGGATCATTCGTGG
GATAAA-3’)
and KAPARH (5’-GTGCACCTCGAGTTATAATTTGGGAAATAGAAAGGA-3’), were
synthesized to include EcoRI and XhoI restriction site, respectively. Primers of KAPAFB and
KAPARH were used in a PCR reaction to amplify the AtKAPAS-encoding region. The
resulting PCR fragment was digested with EcoRI and XhoI, and cloned into MBP (maltose
binding protein) fusion vector (Bioprogen Co., Ltd., Korea) to generate construct pEMBPekKAPAS (Fig. 2). E. coli BL21-Gold(DE) (Stratagene, USA) was transformed with expression
vector pEMBPek-KAPAS and than cultured in LB (Luria–Bertani broth, USB, USA) medium
containing 100 μg⋅mL-1 of ampicillin at 37oC (150 rpm) until the value of OD600 reached 0.6.
In order to induce the expression of the target protein in E. coli cells, isopropyl-Dthiogalactoside was added to the suspension at a final concentration of 1 mM, and further
cultured for 3 h. The culture cells were washed with 50 mM Tris–HCl buffer, pH 8.0,
containing 1 mM EDTA, after centrifugation at 9000g for 10 min. The cell pellets were
resuspended and pooled in 50 mL of buffer solution (50 mM Tris–HCl, pH 8.0, 200 mM
NaCl). The sample was sonicated for 30 s and cooled on ice for 3–5 min, and the procedure
was repeated three times. After centrifugation at 1000g for 30 min, the supernatant was
purified with MBP affinity chromatography and used as enzyme solution. Eluting fractions
separated from E. coli transformed with pEMBPek-KAPAS recombinant vector and the
control group was subjected to sodium dodecyl sulfate-polyacrylamide gel electrophoresis
(SDS–PAGE), respectively. SDS–PAGE was performed on a 12% running gel and protein
bands were visualized by staining with Coomassie Brilliant Blue G250.
The AtKAPAS cDNA was cloned into MBP fusion vector to generate the E. coli expression
construct pEMBPek-KAPAS. SDS-PAGE analysis revealed that E. coli transformed with MBP
fusion vector showed the expression of a very strongly induced fusion protein of ca. 98.2
kDa, which may be consisted of AtKAPAS protein of 51.3 kDa, and maltose binding peptide
MBP affinity tag of 46.9 kDa. For the partial purification of AtKAPAS protein, the lysates
from IPTG-induced E. coli containing pCKAPA as well as from E. coli harboring control
vector MBP fusion vector were loaded onto maltose affinity column (1.1cm x 30cm,
Millipore, USA). The AtKAPAS protein binding to MBP resin was eluted with 10 mM
maltose solution. To confirm the purification of AtKAPAS protein, elutes with E. coliexpressed AtKAPAS protein and E. coli control in the various fractions of affinity
chromatography were subjected to SDS-PAGE analysis (Fig. 4). Elutes of E. coli-expressed
AtKAPAS protein contained the induced fusion protein of ca. 98.2 kDa while those of E. coli
control didn’t contain AtKAPAS protein.
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
479
Fig. 4. KAPAS over expression and purification from transgenic E. coli.
4.2 AtKAPAS inhibition in vitro treated with TPTA
For substrate synthesis and enzyme assay in vitro, substrate pimeloyl CoA was synthesized
according to the method of Ploux and Marquet (1992). TPTA was purchased from Sigma
(USA) and used as a KAPAS-inhibitor. KAPAS activity was determined according to the
method of Webster et al. (2000) using a linked assay by monitoring the increase in
absorption of NADH at 340 nm using a microplate spectrophotometer (Benchmark Plus,
Bio-Rad, USA), thermostatically controlled at 37oC. The procedure was the same apart from
the reaction volume of 250 μL instead of 1 mL. L-Alanine and pimeloyl-CoA were added to
give the desired final concentrations. Prior to analysis, enzyme samples were dialyzed for 2
h at 4oC against 20 mM potassium phosphate (pH 7.5) containing 100 μM pyridoxal 5’phosphate (PLP). The KAPAS concentration in all analysis was 10 μM in 20 mM potassium
phosphate (pH 7.5) and the concentrations of TPTA were 3.125, 6.25, 12.5, 25, 50, and 100
μM. Reference cuvettes contained all other compounds except inhibitor.
Enzyme activity was assayed with the partially purified AtKAPAS protein extracted from
transgenic E. coli. AtKAPAS protein was expressed in E. coli at a very high level, and a
significant portion of these proteins was soluble, and their affinity-purified preparations
contained a single major polypeptide. The dose-dependent in vitro inhibition of KAPAS
activity by TPTA was noticeably examined and the IC50 was calculated as 19.85 μM (Fig. 5).
4.3 Herbicidal activity of TPTA under greenhouse condition
Seeds of A. thaliana were sown in plastic pots (24 cm2 surface area) filled with artificial
nursery soil (Boo-Nong Soil, Seoul, Korea), and the plants were grown to the required
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Herbicides, Theory and Applications
Fig. 5. KAPAS inhibition treated with triphenyltin acetate in vitro. Data was expressed as a
mean ± S.D.
growth stage for application in a greenhouse maintained at 30~35oC during the day and
20~25oC at night. Application was conducted at 40 days after seeding for foliar application
of 16, 32, 62.5, 125, 250, and 500 g⋅ha-1 with laboratory spray gun (spray volume of 1000 L⋅ha1). The TPTA was used as a solution in acetone/water (60:40 by volume) containing 1.0 g⋅L-1
of Tween-20. The plants were photographed at 1 week after application. The herbicidal
spectrum of TPTA was investigated to 10 weed species, Sorghum bicolor, Echinochloa crusgalli, Agropyron smithii, Digitaria sanguinalis, Panicum dichotomiflorum, Solanum nigrum,
Aeschynomene indica, Abutilon avicennae, Xanthium strumarium, Calystegia japonica with foliar
application. Foliar application of 0.25, 0.5, 1, 2, and 4 kg⋅ha-1 with laboratory spray gun
(spray volume of 1000 L⋅ha-1) was conducted at 2 weeks after sowing each seeds in plastic
pot (350 cm2 surface area) filled with upland soil. Visual injury was determined at 2 weeks
after application with a scale of 0 (no injury) to 100 (complete death).
The foliar-treatment of 16, 32, 62.5, 125, 250, and 500 g⋅ha-1 TPTA to the 40-day old A.
thaliana plants has caused herbicidal effects of 8.3, 20, 47, 90, 97, and 100%, respectively. The
herbicidal activity was increased as time passed after application. The application rate of
more than 125 g⋅ha-1 was shown almost complete death at 1 week after application (Fig. 6).
The main symptoms were desiccation and burning effect. Symptoms begun to appear
within several hours after application, and the applied region of the leaf was desiccated at 1
day after treatment of more than 250 g⋅ha-1.
Foliar application of TPTA to 10 weed species was showed good herbicidal activity. The
most sensitive species was Xanthium strumarium which was completely dead at 250 g⋅ha-1 of
TPTA foliar application. Abutilon avicennae, Calystegia japonica, and Aeschynomene indica were
also controlled by 500 g⋅ha-1 of TPTA foliar application (Table 1). However, grass weed such
as Sorghum bicolor, Echinochloa crus-galli, Agropyron smithii, Digitaria sanguinalis, and Panicum
dichotomiflorum was tolerant to TPTA foliar application comparing to the broad-leaf weeds.
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
481
Fig. 6. Herbicidal activity of triphenyltin acetate foliar application at 40 days after seeding
under greenhouse condition on the Arabidopsis thaliana.
Table 1. Herbicidal activity of triphenyltin acetate on the several weed species under a
greenhouse condition
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Herbicides, Theory and Applications
5. Reversal study
Reversal effect was estimated via chlorophyll contents to foliar application and via %
germination. Germination test: Seeds of A. thaliana were germinated in 55 mm plastic Petridish lined with one-layer filter paper (Advantec No. 2). About 1 mL of each TPTA solution
dissolved in absolute acetone with various concentrations of 0, 0.063, 0.0125, and 0.025 mM
was spread evenly onto the filter paper (Ø 5 cm), respectively and allowed to dry in a
laboratory fume hood. After that, 1 mL of distilled water with or without supplement of 0.5
mM biotin (Sigma, USA), dethiobiotin (Sigma, USA), 7,8-diaminopelargonic acid (DAPA,
Synthesis), and KAPA (TRC, Inc., Canada) was added, and 30-seeds were placed onto the
filter paper in Petri-dish. Each Petri-dish was sealed with laboratory film and held in an
incubator at 25oC, 14/10 h (Light/Dark). The assays were conducted in a completely
randomized design with a control and three concentrations of chemicals with three
replications. Inhibition percentages at 8 days after treatment were calculated the number of
germinated seeds divided by total and the significance level was 0.05 for all analysis.
Plant growth test: A. thaliana of 40-day-old plants as reported above were used. Supplement
of 1 mM biotin was conducted by foliar laboratory spray gun with spray volume of 5000 L
ha-1 at each 1 or 2 days before 100 g⋅ha-1 TPTA application. At 5 days after TPTA application,
plant leaves were harvested and chlorophyll content was determined following the method
reported by Hiscox and Israelstam (1979). One gram of leaf tissue was placed in a vial
containing 7 mL of dimethyl sulfoxide (DMSO, Sigma-Aldrich, USA) and chlorophyll was
extracted into the fluid without grinding at room temperature for 24 h in darkness. The
extract liquid was transferred to a graduated tube and made up to a total volume of 10 mL
with DMSO, and 1.5 mL of the 10 mL aliquots was transferred to microcentrifuge tubes.
After centrifuged at 5000g for 10 min, total chlorophyll amount in extracts was determined
by the absorbance measurement at 645 nm and 663 nm for each sample using a Microplate
Spectrophotometer (Benchmark Plus, Biorad, USA) against DMSO blank. Chlorophyll
content was calculated following the equation used by Arnon (1949).
The germination of A. thaliana seeds was almost completely inhibited by 0.05 mM TPTA.
Also, more than 0.125 mM of TPTA treatment completely inhibited the germination and
significantly reduced the plant growth of early stage plants after seed germination.
However, the inhibited germination by 0.05 mM TPTA was recovered to 85~92% with the
supplement of 0.5 mM biotin, dethiobiotin, and DAPA, except KAPA, one of the biotin
biosynthesis intermediates (Fig. 7). Additional supplement of 0.5 mM SAM with 0.5 mM
KAPA increased up to 91% of the germination previously inhibited by 0.05 mM TPTA. At 5
days after TPA application, plant leaves were harvested and chlorophyll content was
determined following the method reported by Hiscox and Israelstam (1979).
The chlorophyll content in A. thaliana plant treated TPTA without biotin pretreatment was
10.7 mg⋅L-1. The chlorophyll content of the untreated control A. thaliana plant was 20.5 mg⋅L1, however, the amount of chlorophyll extracted from the A. thaliana plant treated with
TPTA at 1 and 2 days after biotin pretreatment was 19.5 and 19.8 mg⋅L-1, respectively. The
chlorophyll loss of A. thaliana plant treated TPTA was reversed by biotin pretreatment at 1
and 2 days before TPTA application. Consequently, biotin pretreatment reversed the growth
inhibition of A. thaliana plant treated TPTA at the same extent to the untreated control plants
(Fig. 8).
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
483
Fig. 7. Reversal of A. thaliana seed germination with biotin biosynthesis intermediates
supplement. KAPAS, 7-keto-8-aminopelargonic acid synthase; DAPA, 7,8diaminopelargonic acid synthase; DTBS, dithiobiotin synthase; BS, biotin synthase; TPTA,
Triphenyltin acetate; BT, Biotin; DTB, dithiobiotin; DAPA, 7,8-diaminopelargonic acid;
KAPA, 7-keto-8-aminopelargonic acid; SAM, S-adenosyl-L-methionine.
Fig. 8. Reversal of A. thaliana growth inhibition with biotin supplement. TPTA,
Triphenyltin acetate; BT, Biotin; BT/TPTA, BT treatment followed by TPTA; DAT, day after
treatment.
5.1 L-alanine accumulation in plants treated with TPTA
Alanine was determined from a detection system of copper complex with L-alanine
described by Nakao et al. (1986) with some modification (Lin and Wu, 2005; Weinstein,
1984) from aqueous fraction of extractions. 40-day-old of the Arabidopsis plants grown as
reported above was treated with TPTA (200 g⋅ha-1) by foliar application with laboratory
spray gun (spray volume of 1000 L⋅ha-1). Plant leaves were harvested at 3 days after TPTA
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Herbicides, Theory and Applications
application. Ten grams of plant leaves were homogenized with 100 mL of distilled water
and filtered with 2 layers of Mira cloth. The filtrates were separated with equal volume of
ethyl acetate. The water fraction was concentrated by vacuum rotary evaporator. The
solution (1 mL) was centrifuged at 1000g for 10 min, and chloroform (67 μl) was added to
the supernatants, and then centrifuged at 1000g for 10 min, repeatedly. After reaction with 1
mg of NaN3 and 67 mg of Cu(OH)2 and standing for 20 min at room temperature. The
copper complex of L-alanine was determined by the optical density at 620 nm of the
supernatant (200 μl) using a microplate spectrophotometer (Benchmark Plus, Bio-Rad,
USA). The concentration of L-alanine was determined by standard curve prepared from the
same method with various concentrations of L-alanine. The standard curve was calculated
as Y = 0.4695X + 0.0146, r2 = 0.9993.
Fig. 9. L-alanin accumulation in A. thaliana plants treated with triphenyltin acetate. KAPAS,
7-Keto-8-aminopelargonic acid synthase; UC, untreated control; TPTA, triphenyltin acetate
According to the standard curve, 1.28 mM of L-alanine was detected from A. thaliana plants
treated with 200 g ⋅ha-1 of TPTA, whereas 0.16 mM of L-alanine from untreated plants.
Consequently, the TPTA application induced 8-fold greater L-alanine accumulation in the
plants (Fig 9).
5.2 KAPAS gene expression analysis
RT-PCR (Reverse transcription-polymerase chain reaction) amplifications were performed
with an iCycler™ Thermal Cycler (BIO-RAD, http://www.bio-rad.com/), according to the
manufacture’s instructions. RNA was prepared from various tissues of Arabidopsis that had
been immediately frozen in liquid nitrogen under RNase-free conditions. The RNA was
isolated with the Qiagen RNeasy Plant Mini Kit (Qiagen, http://www.giagen.com/) for
subsequent reverse transcription reactions. First-strand cDNA was synthesized with 1 μg of
total RNA using the Oligo(dT)12–18 primer and the SuperScript™ III Reverse Transcriptase
(Invitrogen, http://www.invitrogen.com/), following the manufacturer’s instructions. One
microliter of cDNA was used for PCR reactions. The PCR conditions were as follows: an
initial denaturation at 94oC for 5 min, followed by 26 cycles of 94oC for 2 min, 55oC for 40 s
and 72oC for 1 min. KAPAS-specific primers for RT-PCR were: KAPAS-F, 5’GCTGAACGACAAGGAA ATGTTG-3’; KAPAS-R, 5’-GAGTGGCTGTGTTGTCAAAG-3’.
Primers
for
amplification
of
reference
gene,
tubulin
was:
TUB-F, 5’CTCAAGAGGTTCTCAGCAGTA-3’; TUB-R, 5’-TCACCTTCTTCATCCGCAGTT-3’.
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
485
To expand our understanding on the role of TPTA, the expression of KAPAS gene in the root,
leaf, stem, and whole plant of A. thaliana was analyzed by RT-PCR at 1 day after treatment
with or without 100 g⋅ha-1 TPTA (Fig. 8). KAPAS was expressed in most tissues, with the
highest levels either in stems or roots of the untreated plants, and tubulin was also showed
good reference gene expression in A. thaliana. However, RNA expression of KAPAS band was
indeed fainter or disappeared in the lane representing leaf tissue of TPTA (+) plants. Also,
slightly less RNA appeared to the tubulin band than in the other lane. This result implying
that the TPTA treatment is severely subjected to protein KAPAS translation and/or post
translational regulation in the leaf within 1 day of treatment like as bio 1 mutants.
Fig. 8. Semi-quantitative RT-PCR analysis of KAPAS gene expression in A. thaliana plants.
TPTA(+/-), treatment with/without 100 g ha-1 triphenyltin acetate; W, whole plant; R, root;
L, leaf; S, stem; KAPAS, 7-Keto-8-aminopelargonic acid synthase; TUB, tubulin; Analysis
was conducted 1 day after TPTA treatment.
6. Summary
As a number of enzymes related in the metabolic pathways of plants are essential for the
growth and development, those can be utilized as potential herbicide targets. We have
performed molecular genetic dissection using reverse genetics of antisense approach to
identify AtKAPAS gene encoding KAPA synthase in the pathway of biotin biosynthesis and
to characterize the phenotypic consequences of loss-of-function mutations (Hwang et al.,
2003; 2010).
Many researchers have investigated the KAPAS in microorganisms and the most of these
reports were focused on the biosynthesis in microorganisms (Eisenberg and Star, 1968),
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Herbicides, Theory and Applications
purification and characterization (Ploux 1992, Stoner and Eisenberg, 1975a; 1975b), crystal
structure (Alexeev et al., 1998, Kack et al., 1999), binding and kinetics (Ploux et al., 1999),
point mutation (Andrew et al., 2002), and stereospecificity (Vikrant et al., 2006). Among
them, Ploux et al. (1999) reported that the KAPAS catalyzes the first committed step of
biotin biosynthesis in micro-organisms and plants, and suggested that the inhibitors of this
pathway might lead to antifungal or herbicide agents. Webster et al. (2000) also reported
that biotin is an essential enzyme cofactor for carboxylase and transcarboxylase reactions.
The biosynthesis of biotin appears to follow similar pathways in both plants and
microorganisms, and thus, inhibition of the enzymes involved in the pathway is potential
and attractive target for both herbicide and antibiotics development. These evidences
strongly support the hypothesis that inhibitors of microbial enzymes of the biotin
biosynthesis pathway might exhibit herbicidal properties as a biofunctional inhibitor.
For instance, two natural compounds isolated form culture filtrates of Streptomyces species,
actithiazic acid and amiclenomycin, are biotin synthase, final step of biotin biosynthesis
pathway, inhibitors of mycobacteria and plants. Ashkenazi et al (2005, 2007) reported the
analogs of KAPA and DAPA, possessing chain lengths of eight carbon atoms, 7aminooctanoic acid hydrochloride, 7-allyloxy-6-oxo-octanoic acid, and 6,7-diaminooctanoic
acid dihydrochloride displayed a inhibitors of biotin biosynthesis as potential herbicides. In
biotin biosynthesis pathway, four steps of enzymes, KAPAS, DAPA amino transferase,
DTBS, and biotin synthase, were working continuously. Among them, the first step of
KAPAS inhibitors was not introduced until now.
From these backgrounds, we studied KAPAS inhibition using various commercialized
compounds as pesticides. Among them, the chemical TPTA was selected in vitro assay with
AtKAPAS over-expressed from transgenic E. coli. Also, we investigated a genetic and
chemical validation of the compound as a potential lead compound for KAPAS inhibitors
under greenhouse condition in vivo. KAPAS activity was completely inhibited by 100 µM of
TPTA in vitro enzyme assay with the IC50 value of 19.85 μM. The germination of A. thaliana
seeds was also completely inhibited when TPTA concentration was greater than 63 µM. The
foliar-treatment of more than 125 g⋅ha-1 TPTA to the 40-day old A. thaliana plants has caused
almost complete death. Also, foliar application of TPTA to the 10 weed species was showed
good herbicidal activity under a greenhouse condition.
Abell (1996) and Pillmoor (1995) suggested that if a protein is a potential target, a 60~80%
inhibition of its activity leads to a severe growth phenotype. In accordance with this
standpoint, our results suggest that the KAPAS might be a good target enzyme for new
herbicide development. However, these results were not sufficient to explain the exact
mechanism of action of TPTA as one of the KAPAS inhibitors. It is important to emphasize
that the correlation between in vitro and in vivo inhibition patterns could be measured
reproducibly and confirmed with reversal effect with the supplement of biotin and
intermediates in the biotin biosynthesis pathway and/or substrate accumulation and/or
RNA expression pattern in plants.
The supplement of biotin or biotin biosynthesis intermediates, except KAPA, was induced
the germination and growth rescue previously inhibited by TPTA. The KAPA, even one of
the biotin biosynthetic precursors, supplement could not rescue the germination inhibited
by the compound TPTA, but additional supplement of 0.5 mM SAM increased up to 91% of
the germination inhibited by 0.05 mM TPTA. In the same way, the antisense auxotrophs
were rescued by supplementing of biotin (Hwang et al., 2003; 2010). From these results, we
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
487
firstly reported the SAM is essential donor of amino group for synthesis of the biotin
precursor DAPA in plants. DAPA aminotransferase is a pyridoxal 5’-phosphate (PLP)
enzyme that catalyzes the transamination of KAPA to yield DAPA (Eisenberg and Stoner,
1971, Stoner and Eisenberg, 1975). In E. coli, the amino donor in this reaction is SAM (Breen
et al., 2003). The enzyme from E. coli has been well characterized and its 3D structure
determined.
Detailed mutational analysis of auxotrophic mutants has led to an inclusive understanding
of biotin synthesis and regulation. The bio1 auxotroph of Arabidopsis, first identified among
the collection of recessive embryo-defective mutants, was shown to be defective in the early
step of biotin synthesis, the conversion of KAPA to DAPA (Breen et al., 2003). Mutant bio1,
first plant auxotroph for biotin, has shown to result in embryonic lethality, and its embryos
remain pale throughout development, typically arrested between germination and
cotyledon stage of embryogenesis (Alban et al., 2000, Meinke, 1985). Plant growth was
rescued by biotin, dethiobiotin, or DAPA, but KAPA supply, or by genetic complementation
by E. coli bioA gene coding DAPA aminotransferase, demonstrating that mutant plants are
defective in this enzyme (Alban et al., 2000; Meinke, 1985; Shellhammer and Meinke, 1990;
Patton et al., 1996; 1998). Based on feeding studies, Shellhammer and Meinke (1990)
suggested that bio 1 was defective in the conversion of KAPA to DAPA, the enzymatic
function of the BioA protein of E. coli. This is the reason of the conversion of KAPA to DAPA
in plant needs SAM supplement for rescue in mutant bio 1 after treatment with TPTA, and
appears to follow the same pattern as identified for E. coli (Shellhammer and Meinke, 1990;
Patton et al., 1996; 1998). With these results, we firstly reported the SAM is an essential
donor of amino group for the conversion of KAPA to DAPA in plants (Fig. 9).
Fig. 9. Suggestion of S-adenoxyl-L-methione (SAM) is essential donor of amino group for
the conversion of KAPA to DAPA in plants.
Furthermore, TPTA induced 8-fold greater accumulation of L-alanine, a substrate of
KAPAS, in the foliar-treated plants. Also, RNA expression band for KAPAS was
488
Herbicides, Theory and Applications
disappeared or indeed fainter in the lane representing leaf tissue treated with TPTA. This
result suggested that the TPTA treatment is subjected to protein KAPAS translation and/or
post translational regulation in the leaf like as bio 1 mutants within 1 day of treatment. Also,
TPTA showed slight inhibition to the tubulin translation and/or post translational
regulation. Kourai et al. (1973) reported the mode of action of TPTA against E. coli. TPTA
was only slightly inhibited respiration, permeability, protein synthesis and cell wall
synthesis, but markedly inhibited RNA and DNA synthesis by E. coli. The antimicrobial
action of TPTA was reversed by cysteine and 2-mercaptoethanol, and the active site of this
compound is the metal atoms.
These results show that the action of TPTA was co-related with the enzyme activity of
KAPAS in plants and RNA synthesis, coincidently. Because, TPTA inhibited the activity of
KAPAS in vitro, germination of A. thaliana seeds in vivo, and the growth of weeds in a
greenhouse condition. Also, TPTA inhibited the RNA expression in the leaf tissue of A.
thaliana. This inhibition of seed germination was rescued by coincident treatment of KAPA
and SAM, but could not rescue by supplement of KAPA only. It is not sure that the metal
atoms of TPTA act on the active site or a cofactor was needed, but these results suggested
that the KAPAS is a potential herbicidal target site in the biotin biosynthesis pathway, and
TPTA is one of the KAPAS inhibiting chemicals even if the compound have been used as
one of the fungicides.
Herbicidal symptoms after foliar treatment with TPTA were similar to herbicides targeting
on the inhibition of fatty acid biosynthesis in grasses, leading to death of the susceptible
plants. In this point of view, the mode of action of TPTA might be correlated with the fatty
acid biosynthesis because the most important role of biotin is carboxylation of acetyl-CoA to
give malonyl-CoA, which is the first step in fatty acid biosynthesis. Biotin is an essential
vitamin and acts as cofactor for a number of enzymes involved in facilitation of CO2 transfer
during carboxylation, decarboxylation, and transcarboxylation reactions that are related to
fatty acid and carbohydrate metabolism (Dakshinamurti and Bhagavan, 1985; Jelenska et al.,
2002; Pinon et al., 2005; Nikolau et al., 2003).
These biotin-dependent carboxylases in plants include cytosolic acetyl-CoA carboxylase,
chloroplastic
geranyl-CoA
and
acetyl-CoA
carboxylases,
and
mitochondrial
methylcrotonoyl-CoA carboxylase (Alban et al., 2000; Nikolau et al., 2003). This complex
contribution of biotin and biotin-mediated reactions in the plant cell implies an intracellular
trafficking of biotin and precursors, thus requiring transport mechanisms. These transport
steps include transfer of an intermediate, KAPA, DAPA, or dethiobiotin, between the
cytosol and mitochondria was demonstrated by Pinon et al. (2005).
The reducing level of this enzyme activity required as a commercial herbicide target is hard
to assume at present time. However, it appears that complete inhibition of enzyme activity
at these targets is not necessary for plant death (Abell, 1996). In mutant plants with reduced
amounts of glutamine synthetase activity, the target of glufosinate, reduction in glutamine
synthetase activity of only 38% was sufficient to cause severe abnormalities (Blackwell et al.,
1987). Antisense knock-out of acetolactate synthase (ALS), the target site of the
sulfonylureas, imidazolinones, and triazolopyrimidines can produce plants displaying a
range of ALS inhibitor-like symptoms such as growth retardation and necrosis (Blackwell et
al., 1987; Höfgen, 1995). Such directed knock-outs allow the screening of enzymes whose
inhibition might be expected to have catastrophic effects in the plant, based on knowledge
of pathway dynamics. However, our knowledge of biochemical pathways in plants is
incomplete and the next major herbicide target may lie in an unexpected area of plant
7-Keto-8-Aminopelargonic Acid Synthase as a Potential Herbicide Target
489
metabolism. Generally, it can be argued that we still do not know in detail how plants
actually die as a result of inhibition of some known targets.
Even though whole plant screening will remain central to agrochemical discovery, highthroughput biochemical screening might be effective to accelerate the discovery of novel
compounds. For example, these can allow the detection of hits that may be missed in
glasshouse screens due to poor plant bioavailability, or the rapid and thorough evaluation
of a target site by concerted screening against diverse sets of chemistry. Structure-activity
relationships can provide inspiration for further chemical synthesis based on binding
hypotheses or single parameter data not available from glasshouse screening. Further
rationalization of activities and downstream of genomics such as high-throughput x-ray
crystallography for three-dimensional analysis of protein-inhibitor interactions (structural
genomics) will assist in developing ‘virtual’ or ‘in silico’ screening of chemistry. Greater
reliance on high-throughput biochemical screening will necessitate an improved ability to
convert in vitro hits into biologically active molecules through a better understanding of
whole plant-compound interactions and improved test systems would be confirmative for
this speculation.
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[64] Stitt, M. (1999) The first will be last and the last will be first: nonregulated enzymes call
the tune? In Plant Carbohydrate Biochemistry. Edited by Burrell, J.A., Bryant,
M.M., Kruger, N.J. Oxford: BIOS Scientific Publishing, 1~16.
[65] Stoner, G.L. and M.A. Eisenberg (1975a) Purification and properties of 7,8diaminopelargonic acid aminotransferase. J. Biol. Chem., 250, 4029~4036.
[66] Stoner, G.L. and M.A. Eisenberg (1975b) Biosynthesis of 7,8-diaminopelargonic acid
from 7-keto-8-aminopelargonic acid and S-adenosyl-L-methionine. The kinetics of
the reaction. J. Biol. Chem., 250, 4037~4043.
[67] Subramanian, M.V., S.A. Brunn, P. Bernasconi, B.C. Patel, and J.D. Reagan (1997)
Revisiting auxin transport inhibition as a mode of action for herbicides. Weed Sci.,
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decarboxylase structure: Bifunctional active site and alkali metal sites. Science, 261,
756~759.
[69] Tissot, G., R. Pépin, D. Job, R. Douce, and C. Alban (1998) Purification and properties of
the chloroplastic form of biotin holocarboxylase synthetase from Arabidopsis thaliana
overexpressed in Escherichia coli. Eur. J. Biochem., 258, 586~596.
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29~35.
23
Possibilities of Applying Soil Herbicides in Fruit
Nurseries – Phytotoxicity and Selectivity
Zarya Rankova
Fruit-Growing Institute, Plovdiv 4004, 12, Ostromila Str.
Bulgaria
1. Introduction
Fruit-growing is one of the major sub-branches of agriculture in Bulgaria and its
development is enhanced by a number of positive prerequisites – favourable soil and
climatic conditions, a rich genetic fund of local and introduced cultivars, production
experience and national traditions. Production of grafted fruit tree planting material is an
important starting point in developing modern fruit-growing. Requirements set by
integrated fruit production and the needs of producing certified fruit planting material
impose the development of ecologically sound integrated approaches for plant protection,
including an efficient control of weed infestation in the fruit nursery, based on selective
herbicides without any residual effects, as an element of high agrotechnical practice. In 1991
the European Plant Protection Organization (EPPO) published a scheme for production of
certified virus-free fruit trees and rootstocks. The recommendations complying with the
scheme of EPPO were included in Directive 92/34 of the Council of the European Economic
Community of 28 April 1992 on the marketing of fruit plant propagating materials and fruit
plants intended for fruit production. The aim of the Directive was to guarantee the quality
of propagating material in the European Union countries after the borders have come down.
Certified virus-free fruit planting material could only be produced under the conditions of
very high agrotechnical background, including an efficient and ecologically sound control of
weed infestation in the fruit nursery.
Weed vegetation is a serious problem in fruit crop nurseries. Weeds strongly suppress the
growth of rootstocks and grafted trees in the process of planting material production. A
direct damage caused by weed infestation is markedly expressed (weed-crop competition
for moisture, light and nutrients from soil and introduced with fertilizers). Under the effect
of weeds, growth and development of young trees is delayed, wood does not mature and
the planting material obtained is non-standard. The indirect damage caused by weeds
(dissemination of pests and diseases, including viral ones) in that case is quite strongly
expressed, keeping in mind the modern issues to the production of certified, free of viral
diseases fruit planting material.
In scientific literature there are data that a number of weed species could be also attacked by
diseases, including viral ones, and thus weeds become the reason for their spread to the
cultivated plants. It was established that PPV (plum pox potty virus) casing the
economically most important Sharka disease in stone fruit species, could be hosted by a
number of weed species contained in the weed association in the fruit nursery (Oosten, 1971;
Rankova & Milusheva, 2001; Milusheva & Rankova, 2002; Milusheva & Rankova, 2006)
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Herbicides, Theory and Applications
Under the conditions of modern fruit production, an efficient and ecologically sound weed
control in the fruit nursery could hardly be carried out without a developed scientific
chemical control system based on soil-applied and leaf herbicides with proven selectivity for
fruit species.
There are data in literature about the different effects of some soil and leaf herbicides on
growth of fruit species used as rootstocks – from lack of phytotoxicity and ability to produce
good quality rootstocks suitable for grafting, to very strong toxicity after applying some active
substances contained in herbicides, causing plant death. The effect of applying some soil
herbicides in yellow plum seedling rootstocks was studied (Porterfield et al., 1993; Wazbinska,
1997; Kaufman & Libek, 2000 a; Kaufman & Libek, 2000 b; Rankova, 2004), in peach seedling
rootstocks (Arenstein, 1980; Kuhns L., 1981; Lange, 1987; Lourens et al., 1989; Jankovic, et al.,
1995; Abdul et al., 1998; Rankova, 2002; Rankova, 2004), in wild cherry seedling rootstocks
(Crisp et al., 1984;Clay, 1984; Porterfield et al., 1993),in mahaleb (Rankova, 2006); in apricot
seedling rootstocks (Arenstein, 1980; Mitchell & Abernethy, 1989).
The present work provides summarized data from studies carried out in the period 20012009 at the Fruit-Growing Institute – Plovdiv and it has set the aim of presenting the
incidence of phytotoxicity and selectivity in some major seedling rootstocks after application
of soil herbicides. The effect of a number of soil herbicides (napropamide, pendimethalin,
metolachlor, oxyfluorofen, terbacil, linuron, oxadiargyl, etc.) on weed infestation, growth
habits and physiological status of different seedling rootstocks for fruit species (yellow plum
(Prunus cerasifera, Ehrh., Myrobolan), peach seedling rootstock (Prunus persica L., Batsch),
wild cherry (Prunus avium L.), Mahaleb (Prunus mahaleb L.), apricot seedling rootstock
(Prunus armeniaca L.), walnut (Juglans regia L.) was studied under the conditions of model
pot experiments and field studies. Those seedling rootstocks have been widely used as
rootstocks for plum, peach, sweet cherry, apricot, nectarine and walnut fruit cultivars,
thanks to their good adaptability to the soil and climatic conditions and their excellent
affinity to the range of cultivars grown in Bulgaria.
Probably, the use of the active substance terbacil in the studies will make an impression. After
the accession of Bulgaria to the EU, its application was prohibited, despite the results of its
excellent herbicide efficiency against a large number of annual grassy and broad-leaved weeds
and its use in fruit-bearing orchards and in some nurseries (in rootstocks for apple cultivars
and forest species). Although treatment with that soil herbicide is prohibited at present, the
results of the carried out investigations showed that it could be applied in fruit tree nurseries
for some fruit species (yellow plum, peach), because a depressing effect on the growth of the
rootstocks was not reported. The other herbicides included in the study also have a
comparatively broad spectrum of herbicide efficiency and persistence in soil for 2-3 months
after the date of treatment. Their selection was made with the aim of providing herbicide
efficiency during the first months after emergence of the seedlings, when the competition and
the suppressing effect of the weed vegetation are most strongly expressed. Only preliminary
stratified seeds (stones) were used during the implementation of the experiments for the
reliable reporting of the soil herbicide effect on the process of plant emergency.
2. Model (pot experiments) for studying the effect of the soil herbicides on
the vegetative habits of seedling rootstocks
2.1 Material and methods
Stratified seeds (stones) of yellow plum, peach, wild cherry, walnut of Kuklenski cultivar
and apricot were planted (by 5 seeds) in pots of volume 1 kg sand and alluvial-meadow soil
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
497
(Fluvisol), pH 7,2 and content of mobile phosphorus P2O5 – 21,6 mg/100g of soil. Treatment
with soil herbicides was applied immediately after seeding. Ten variants in five replications
were set.
Variants: 1. Control (untreated); 2. Napropamide – Devrinol 4 F – 4,0 l/ha; 3. Pendimethalin
– Stomp 33 ЕC – 4,0 l/ha; 4. Terbacil – Sinbar 80 WP – 1,0 kg/ha; 5. Oxadiargyl – Raft 800
WDG – 250 g/ha; 6. Metolachlor – Dual Gold 960 ЕC – 1,0 l/ha; 7. Isoxaflutole – Merlin 750
WG – 50 g/ha; 8. Linuron – Afalon 45 SC – 3,0 l/ha; 9. Acetochlor- Trophy- 3,0 l/ha; 10.
Oxyfluorofen – Galigan 240 ЕC – 1,5 l/ha;.
The herbicide treatment rates were calculated according to the area of the cultivation vessel.
The experimental plants were grown for 60 days under controlled conditions (temperature
of 20-250С and relative air humidity 65-70%) in a glass-and-steel green house. During that
period observations were made on seedling emergence, development and external
symptoms of phytotoxicity. At the end of the period the following biometric indices were
reported: stem height (сm) and above-ground mass (stem + leaves) – in average per plant
(g). The results obtained were statistically processed following the standard methods.
2.2 Results and discussion
2.2.1 Effect of soil herbicides on the vegetative habits of yellow plum seedlings
The applied soil herbicides had a different effect on the emergence and development of
yellow plum seedlings. No differences in the rate of seedling emergence were observed after
treatment with napropamide (Devrinol 4 F – 4,0 l/ha) and terbacil (Sinbar 80 WP – 1,0
kg/ha). When treated with oxadiargyl (Raft 800 WG – 250 g/ha), the plants emerged at the
same time with those of the control, however shortly after that symptoms of necrosis
appeared on the cotyledons and the plants died about 10 days after emergence. Only single
plants survived but white chlorosis developed on their leaves – the tissues around the
central vein, and slight necrosis appeared at the leaf margins. Plant growth was suppressed.
The last to emerge (up to the 20th day after the emergence of the control seeds) were the
plants treated with pendimethalin (Stomp 33 EC – 4,0 l/ha), (Var. 3). Their development
was delayed and they had much shorter stems (rosettes) and smaller leaves (Fig. 1).
Fig. 1. Inhibiting effect of pendimethalin in yellow plum seedlings under sand culture
conditions.
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Herbicides, Theory and Applications
External symptoms of toxicity and growth suppression were not reported for the seedlings
of the variants treated with napropamide and terbacil.
The plants treated with isoxaflutole (Merlin 750 WG – 50 g/ha) emerged at the same time
with those of the control. Later their development was delayed, strongly expressed chlorosis
appeared, the tissues about the central vein whitened (white chlorosis), a large number of
the plants withered (Fig. 2). Again only single plants continued to develop in that variant.
Fig. 2. White chlorosis on the leaves of yellow plum after treatment with isoxaflutole (Merlin
750 WG).
The seedlings treated with metolachlor, linuron, acetochlor and oxyfluorofen emerged at
the same time with the control plants but later their development was delayed and until the
20th day after emergence withering and dying of the plants was observed.
The least depressing effect on growth was exerted by the active substances napropamide
and terbacil – Variants 2 and 4 (Fig. 3 and 4). After treatment of the seedlings with
oxadiargyl – Raft 800 WG – 250 g/ha (Var. 5) a suppression of stem development was
observed. The lowest values of both biometric characteristics were established after
treatment with pendimethalin – Stomp 33 EC – 4,0 l/ha (Var. 3). The differences to the
controlled variant were statistically highly significant.
30
stem height (h-cm)
25
20
15
10
5
0
1
2
3
4
5
6
7
8
9
10
variants
LSD 5%-0.87, 1%-1.27, 0.1%-1.90
Fig. 3. Stem height of yellow plum seedlings after treatment with soil herbicides (h-cm).
499
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
0,6
0,5
0,4
above-ground
0,3
mass(g)
0,2
0,1
0
1
2
3
4
5
6
7
8
9
10
variants
LSD 5%-0.13, 1%-1.20, 0.1%-1.29
Fig. 4. Effect of soil herbicides on the above-ground mass of yellow plum seedlings (g).
The strong inhibiting effect of pendimethalin under sand culture conditions could be
explained by the physical basis of the herbicide selectivity and the possibility to induce
phytotoxicity on light soils (sand) and in direct contact with the germinating seeds (stones).
The results obtained about the effect of the studied soil-applied herbicides on the vegetative
habits of yellow plum seedlings under sand culture conditions gave the grounds to draw the
following conclusions: 1. After treatment with napropamide and terbacil, toxicity was not
observed and the growth habits of the plants were close to the untreated control; 2. Strongly
suppressing effect was established after treatment with pendimethalin under sand culture
conditions; 3. Strong phytotoxicity expressed in dying of the plants was reported after
treatment with metolachlor, linuron, acetochlor and oxyfluorofen.
2.2.2 Effect of soil herbicides on the vegetative habits of peach seedlings
The obtained results showed that the applied herbicide active substances had a different
effect on seedling development compared to sand culture. The plants of the variants treated
with napropamide (Var. 2), pendimethalin (Var. 3), terbacil (Var. 4), oxadiargyl (Var. 8) and
isoxaflutole (Var. 9) emerged at the same time as those of the control. They grew well
without external symptoms of phytotoxicity. Later, in Variant 7 (Merlin 750 WG – 5 g/da)
white chlorosis emerged along the leaf vein. The plants of the variants treated with
metolachlor (Dual Gold 960 EC 1,0 l/ha), linuron (Afalon 50 WP – 3,0 l/ha), acetochlor
(Trophy – 3,0 l/ha) and oxyfluorofen (Galigan 240 ЕC – 3,0 l/ha) emerged later than those of
the control. When applying metolachlor (Var. 6) only single plants emerged and their
growth was suppressed. Leaf withering and plant dying was observed until the 20th day
after emergence. Analogous habits were established in the seedlings of Variant 8 (linuron –
Afalon 50 WP – 3,0 l/ha), Variant 9 (acetochlor – Trophy – 3,0 l/ha) and Variant 10
(oxyfluorofen – Galigan 240 ЕC – 3,0 l/ha).
Single seeds emerged in the variants treated with linuron and acetochlor and their growth
was strongly suppressed. Withering from the leaf tip was observed and the plants died until
the 20th day after emergence. Phytotoxicity was also established in the plants treated with
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Herbicides, Theory and Applications
oxyfluorofen (Var. 10). The seedlings emerged later than those of the control. Later their
growth was delayed, chlorosis appeared at the leaf margins, turning into necrosis and
causing plant death in 20 – 25 days after emergence.
The slightest effect on the experimental plants was exerted by the active substances terbacil
and pendimethalin (Fig. 5). Out of all the reported biometric characteristics, values closest to
the control plants were established in the plants of Variant 4 – terbacil – Sinbar 80 WP – 1,0
kg/ha, followed by Variant 3 – pendimethalin – Stomp 33 EC – 3,0 l/ha.
40
stem height (h-cm)
35
30
25
20
15
10
5
0
1
2
3
4
5
6
7
8
9
variants
LSD 5%-1,98, 1%-2,65, 0.1%-3,58
Fig. 5. Effect of soil herbicides on stem height of peach seedlings (h-cm)
above-ground mass (g)
3,5
3
2,5
2
1,5
1
0,5
0
1
2
3
4
5
6
7
8
9
10
variants
LSD 5%-0,22, 1%-0,30, 0.1%-0,40
Fig. 6. Effect of soil herbicides on the above-ground mass of peach seedlings (g).
10
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
501
After application of napropamide (Var. 2), the strongest expression of the stem growth
reduction in the seedlings was reported in comparison with the control. The differences
were of high statistical significance.
There are data in literature about the response of some fruit species to soil herbicides when
applying the sand culture method (Clay, 1984; Lourens, et al., 1989). Analogous results
about the habits of peach seedlings after treatment with soil herbicides under sand culture
conditions were obtained by Lourens, (1989). A slight phytotoxic effect was established after
treatment of the experimental plants with pendimethalin, napropamide, oryzalin. The
authors reported that even stronger phytotoxicity was observed after treatment with
oxadiazon, alachlor, simazine.
The results obtained about the effect of the studied soil-applied herbicides on the vegetative
habits of peach seedlings under sand culture conditions gave the grounds to draw the
following conclusions: 1. Growth habits closest to those in the control, were established in
the plants treated with terbacil (Var. 4) and pendimethalin (Var. 3);
2. Strong phytotoxic effect on peach seedlings expressed in dying of the plants, was exerted
by linuron, metolachlor, acetochlor and oxyfluorofen.
2.2.3 Effect of soil-applied herbicides on the vegetative habits of wild cherry
seedlings
Strong phytotoxicity under sand culture conditions was established after treatment with all
the tested herbicides, expressed in blocking of seed germination or dying of the emerged
plants. That was the reason to conclude that wild cherry as a species is strongly susceptible
to the effect of soil-applied herbicides under sand culture conditions.
In the model pot experiment on alluvial-meadow soil (Fluvisol), the plants of the variants
tested with napropamide (Var. 2), pendimethalin (Var. 3) and isoxaflutole (Var. 7) emerged
at the same time with those of the control. External symptoms of phytotoxicity were not
observed in the seedlings treated with napropamide and pendimethalin.
7
Fig. 7. White chlorosis in wild cherry seedlings after treatment with isoxaflutole (Var. 7)
After treatment with isoxaflutole (Var. 9), white chlorosis appeared in the leaves of the
plants both along the leaf vein and between the leaf nerves. In those areas the chlorosis
developed as white spots. Later (about a month) necrosis appeared in the white spots.
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Herbicides, Theory and Applications
At a later stage (about 40 days after plant emergence), those symptoms were not observed in
the newly formed leaves. The leaves were fresh, green, without obvious suppression of
plant growth. That was the reason to accept that the phytotoxicity of isoxaflutole in wild
cherry seedlings was overcome in 40-60 days after emergence.
The seeds of the other variants treated with herbicides (Var. 4, 5, 6, 7 and 8) did not emerge
or only single plants developed. Withering of the plant tip was observed, followed by dying
of the plants in about 20 days after emergence. Consequently, the active substances terbacil,
metolachlor, linuron, oxyfluorofen and oxadiargyl have a strong phytotoxic effect on wild
cherry seedlings, causing the plant death.
6
Fig. 8. Wild cherry seedlings with suppressed growth after treatment with terbacil (Var. 4)
and metolachlor (Var. 6)
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Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
The results of the biometric analysis showed different effects of the soil herbicides on the
vegetative habits of the plants. The least inhibiting effect on stem growth in height was
observed in the variants treated with napropamide (Var. 2) and isoxaflutole (Var. 9), (Fig. 9).
The lowest height was reported for the plants treated with pendimethalin (Var. 3). The
differences to the control were statistically significant. After the application of isoxaflutole
(Var. 7) the values of plant height were close to those in the control.
The results about the effect of the applied herbicides on the above-ground mass of the plants
were analogous with those of plant height (Fig. 10). The results obtained after treatment of
the seedlings with napropamide and isoxaflutole again showed values close to the control.
Again a depressing effect on that characteristic was reported in the variant with application
of pendimethalin (Var. 3). The differences were statistically significant.
The results obtained about the effect of the soil-applied herbicides on the vegetative habits
of wild cherry seedlings gave the grounds to draw the following conclusions:
1. Strong phytotoxicity expressed in blocking the seed germination and dying of the
emerged plants was exhibited after applying the soil herbicides napropamide,
pendimethalin, terbacil, metolachlor, linuron, acetochlor, oxyfluorofen, oxadiargyl and
isoxaflutole at the tested rates under sand culture conditions.
2. Under the conditions of alluvial-meadow soil (Fluvisol), external symptoms of
phytotoxicity and growth depression was not observed in seedlings after treatment
with napropamide (Devrinol 4 F – 400 ml/da).
3. Application of isoxaflutole led to incidence of white chlorosis in the plant leaves,
however phytotoxicity was overcome in about 40 days after treatment with the
herbicide and no suppression of the vegetative habits were observed.
12
stem height (cm )
10
8
6
4
2
0
1
2
3
4
5
6
variants
LSD 5%=1.87, 1%=2.72, 0,1 %=4.07
Fig. 9. Effect of soil herbicides on stem height (сm)
7
8
9
10
504
Herbicides, Theory and Applications
1,4
1,2
above-ground mass (g)
1
0,8
0,6
0,4
0,2
0
1
2
3
4
5
6
7
8
9
10
variants
LSD 5%=0,36, 1%=0,53, 0,1 %=0,80
Fig. 10. Effect of soil herbicides on the above-ground plant mass (g)
4.
5.
Depressing effect on growth of wild cherry seedlings was established after treatment
with pendimethalin – Stomp 33 ЕC – 4,0 l/ha.
Under the conditions of a model pot experiment on alluvial-meadow soil (Fluvisol) the
active substances terbacil, metolachlor, linuron, acetochlor, oxyfluorofen and oxadiargyl
had a strong phytotoxic effect on the seedlings, leading to plant death.
2.3 Effect of the soil-applied herbicides on the vegetative habits of walnut seedlings
2.3.1 Under sand culture conditions
The seeds treated with napropamide (Var. 2), pendimethalin (Var. 3) and terbacil (Var. 4)
emerged at the same time with those of the control. External symptoms of phytotoxicity
were not observed. Later, delayed development of the seedlings was reported for the plants
of the Variants 2 and 3.
Delayed emergence compared to the control was established for the plants treated with
metolachlor (Var. 6), linuron (Var. 8) and oxyfluorofen (Var. 10). In Variant 6 only single
plants emerged. An incidence of necrosis in their leaves was reported. The seedlings of the
variants treated with metolachlor and oxyfluorofen died until the 20th day after emergence.
Similar symptoms of phytotoxicity were observed in the plants of Variant 8 – only single
plants emerged and they had a seriously delayed development with necrosis at the margins
of the apical leaves.
In the variants with application of oxadiargyl (Var. 10) and isoxaflutole (Var. 7) the seeds
emerged at the same time as those of the control variant. External symptoms of
phytotoxicity – chlorosis, necrosis, white chlorosis – typical of the species susceptible to
isoxaflutole, were not observed.
505
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
The results of the biometric analysis showed that the soil-applied herbicides had an effect
expressed in different ways on growth and development of walnut seedlings. The plants of
the variants treated with oxadiargyl and isoxaflutole (Var. 5 and 7) had a bigger stem height
compared to the control (Fig. 11).
That was the reason to conclude that those two active substances do not exert a depressing
effect on seedling growth. Values of the stem height, close to those in the control, were
established in the plants treated with terbacil, napropamide and linuron (Var. 4, 2 and 8).
Strong inhibiting effect under sand culture conditions was established in the plants treated
with pendimethalin (Var. 3). The differences to the control were of high statistical significance.
A similar effect of the soil-applied herbicides was observed on the other studied
characteristic – the above-ground mass (Fig. 12). The plants treated with isoxaflutole (Var. 7)
had a larger above-ground mass than those of the control variant. Consequently, the active
substance isoxaflutole – Merlin 750 WG at the rate 50 g/ha did not suppress walnut seedling
growth under sand culture conditions. A slighter depressing effect on that characteristic was
established also in the plants treated with terbacil and linuron (Var. 4 and 8). The least
above-ground mass was reported in the plants treated with pendimethalin (Var. 3) and
napropamide (Var. 2). The differences to the control were again of high statistical
significance.
Application of pendimethalin had a depressing effect on walnut seedling development
under sand culture conditions. A similar result was observed in the other analogous studies
about the effect of the soil-applied herbicides on the habits of peach and yellow plum
seedling rootstocks.
The depressing effect of pendimethalin under sand culture conditions could be explained by
the physical basis of the herbicide selectivity and the possibility to exhibit its phytotoxic effect
on light soils (sand in the present case) and in a direct contact with the germinating seeds.
14
12
stem height (h-cm)
10
8
6
4
2
0
1
2
3
4
5
6
variants
LSD 5%-0,99, 1%-1,36, 0,1%-1,85
Fig. 11. Effect of soil herbicides on plant height (h- сm).
7
8
9
10
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Herbicides, Theory and Applications
3
above-ground mass (g)
2,5
2
1,5
1
0,5
0
1
2
3
4
5
6
7
8
9
10
variants
LSD 5%-0,32, 1%-0,43, 0,1%-0,59
Fig. 12. Effect of soil herbicides on the above-ground mass (g).
2.3.2 Under the conditions of a model pot experiment with alluvial-meadow soil
(Fluvisol)
Differences in the rate of emergence of the seedlings in the variants treated with herbicides
and those in the control were not observed. External symptoms of toxicity (chlorosis,
necrosis, withering of the stem or leaves) did not appear. Later a delayed development of
the plants in the variants treated with pendimethalin (Var. 3), metolachlor (Var. 6) and
oxyfluorofen (Var. 10) was established.
The results of the biometric analyses showed that the applied soil herbicides had a different
effect on growth and development of the walnut seedlings. Plants of the variants treated
with napropamide, terbacil, linuron and isoxaflutole (Var. 2, 4, 8 and 7) had a closer to stem
height compared to the control (Fig. 13). The differences were not statistically significant.
A lower stem height was reported for the plants of the variants with applied pendimethalin,
metolachlor, acetochlor and oxyfluorofen (Var. 3, 6, 9 and 10). That gave the grounds to
accept that the application of those soil herbicides suppressed the stem growth of walnut
seedlings.
Lower above-ground mass was reported in the plants of all the variants treated with
herbicides (Fig. 14). The values of the plants in the variants treated with terbacil and
isoxaflutole (Var. 4 and Var. 7) were the closest to the control.
The results about the depressing effect of the soil herbicides pendimethalin, metolachlor,
and oxyfluorofen on that characteristic were analogous.
Therefore, it could be admitted that those soil herbicides had a depressing effect on the
growth of walnut seedlings.
507
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
16
14
stem height (h-cm)
12
10
8
6
4
2
0
1
2
3
4
5
6
7
8
9
10
9
10
variants
LSD 5%=4,44, 1%=6,08, 0,1 %=8,28
Fig. 13. Effect of soil herbicides on stem height of walnut seedlings (h – сm).
8
7
above-ground mass (g)
6
5
4
3
2
1
0
1
2
3
4
5
6
7
variants
LSD 5%=1,51, 1%=2,07, 0,1 %=2,81
Fig. 14. Effect of soil herbicides on the above-ground plant mass (g)
8
508
Herbicides, Theory and Applications
The following conclusions could be drawn from the results about the effect of the herbicides
on the habits of walnut seedlings:
1. A depressing effect on walnut seedling growth, expressed in growth suppression and a
significant decrease of the above-ground plant mass, was exerted after treatment with
pendimethalin, metolachlor and oxyfluorofen.
2. After treatment with napropamide, terbacil, linuron and isoxaflutole no phytotoxic
effect expressed in suppression of the vegetative habits of walnut seedlings was
established.
2.4 Effect of soil herbicides on the vegetative habits of apricot seedlings
Plant habits under both conditions of the model experiment – under sand culture conditions
and on alluvial-meadow soil (Fluvisol) were analogous at the initial stages of plant
emergence and development.
The plants of the variants treated with herbicides (Var. 2, 3 and 4) emerged at the same time
with those of the control. External symptoms of phytotoxicity – chlorosis, necrosis, as well as
obvious disturbance of plant development, were not observed. Strong phytotoxicity
expressed in an inability of the seeds to germinate or withering and drying of the emerged
plants was established after treatment with the other herbicides included in the study (Var.
5-10).
The results of the biometric analysis showed that after treatment with terbacil (Sinbar 80 WP
– 1,0 kg/ha) the plants had a stem height close or bigger than those in the control variant.
The differences to the control were statistically insignificant. Consequently, that active
substance did not exert a depressing effect on stem growth (Fig. 15).
An inhibiting effect on growth was established after applying napropamide and
pendimethalin under sand culture conditions. That could be explained by the mechanism of
action of the active substances. It is known that napropamide stops the growth of the
susceptible plants and pendimethalin inhibits cell division and elongation in the
meristematic tissues of the stem (Tonev, 2000). Under sand culture conditions, when the
effect of soil as a factor is eliminated, those characteristics of phytotoxicity in result of the
herbicide application were much more obviously expressed. Under the conditions of
alluvial-meadow soil, stem growth suppression was much weaker after applying those
active substances. In that case the differences were insignificant.
The results obtained about the effect of the applied herbicides on stem weight were
analogous (Fig. 16). A strong suppressing effect on that characteristic under sand culture
conditions was established again after treatment with pendimethalin (Var. 3) and
napropamide (Var. 2). That result could be explained by the effect of the active substances
on seedling growth under the different conditions tested in the study. Under sand culture
conditions the differences to the control were highly significant. Under the conditions of
alluvial-meadow soil growth suppression of plant development was also reported after
treatment with napropamide (Var. 2), however, in that case the inhibiting effect was much
weaker.
The plants treated with terbacil under both experimental conditions had stem weight values
close to that in the control. The differences to the control variant were statistically
insignificant. That confirmed the results about the lack of phytotoxicity in the plants after
applying Sinbar 80 WP – 1,0 kg/ha.
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
25
sand culture
alluvial meadow soil
stem height (h-cm)
20
15
10
5
0
1
2
3
4
variants
sand culture- LSD 5 %=4,72
1%=6,87
0,1%=10,31
alluvial meadow soil-n.s.
Fig. 15. Effect of soil herbicides on stem height (cm).
3
sand culture
alluvial meadow soil
above-ground mass (g)
2,5
2
1,5
1
0,5
0
1
2
3
4
variants
sand culture- LSD 5 %=0.53
1%=0.78
0,1%=1.16
alluvial meadow soil-n.s.
Fig. 16. Effect of soil herbicides on above-ground mass (g).
509
510
Herbicides, Theory and Applications
The results obtained gave the grounds to conclude that the application of terbacil, and
pendimethalin under the conditions of alluvial-meadow soil did not cause phytotoxicity on
apricot seedlings resulting in plant growth suppression. A negative effect on growth was
established after treatment with napropamide. Similar results of phytotoxicity caused by
napropamide under sand culture conditions were established in analogous studies with
peach seedlings.
Under the conditions of alluvial-meadow soil, the effect of the herbicides was significantly
weaker due to factors such as mechanical soil content, humus, pH, argillaceous (loamy)
fraction, etc. The conclusion could be drawn that when the stones are planted shallow in
soils of a light mechanical composition and there is a direct contact between the active
substance napropamide and the germinating seeds, then the incidence of phytotoxicity
expressed in growth suppression is quite probable.
2.5 Conclusions
1. External symptoms of phytotoxicity were not established in apricot seedlings after
treatment with napropamide, pendimethalin and terbacil.
2. Application of terbacil (Sinbar 80 WP – 1,0 kg/ha) did not cause suppression of growth
habits in the seedlings.
3. Suppression of plant growth and development was established after treatment with
napropamide – Devrinol 4 F – 4,0 l/ha under sand culture conditions.
The results obtained in the model studies showed that the sand culture method could be
applied as a rapid model system for testing the habits of fruit species in response to the soilapplied herbicides. Under sand culture conditions the soil type (mechanical composition,
humus) is eliminated as a factor affecting the plant habits and the soil herbicides and it is
possible to obtain information about the response of the cultural fruit species to the different
active substances.
3. Field experiments for establishing the effect of some soil-applied
herbicides on the vegetative habits of seedling rootstocks of yellow plum,
peach and Mahaleb.
3.1 Material and methods
The field studies were carried out on the experimental site on the territory of the FruitGrowing Institute – Plovdiv. The soil in the experimental plot was alluvial-meadow
(Fluvisol), pH 7,4, with a good supply of phosphorus and potassium (Rankova, 2004,).
Stratified seeds (stones) of yellow plum, peach and Mahaleb were planted in the period 15 –
25 March on an experimental plot of a size 1 m2 for each variant (10 seeds per 1 m2) at 3-5 cm
depth and 5-7 cm distance within the row. Immediately after planting the seeds, treatment
with soil-applied herbicides was carried out. Four active substances of soil herbicides were
used – napropamide, pendimethalin, terbacil and metolachlor, each of them used at three
rates. The following variants were set: 1. Control (untreated); 2. Napropamide – Devrinol 4 F
– 3,0 l/ha; 3. Napropamide – Devrinol 4 F – 4,0 l/ha; 4. Napropamide - Devrinol 4 F – 5,0
l/ha; 5. Pendimethalin – Stomp 33 EC – 3,0 l/ha; 6. Pendimethalin – Stomp 33 EC – 4,0 l/ha;
7. Pendimethalin – Stomp 33 EC – 5,0 l/ha; 8. Terbacil – Sinbar 80 WP – 750 g/ha; 9. Terbacil
– Sinbar 80 WP – 1,0 kg/ha; 10. Terbacil – Sinbar 80 WP – 1,25 kg/ha; 11. Metolachlor – Dual
Gold 960 EC – 1,125 l/ha; 12. Metolachlor – Dual Gold 960 EC – 1,5 l/ha; 13. Metolachlor –
Dual Gold 960 EC – 1,875 l/ha.
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
511
The experiment was set by the standard chess-board method in 4 replications, the reporting
area being 4 m2. The control was maintained free of weeds by three weedings out by hand
by 30-day intervals. During vegetation the rootstocks were grown following the standard
technology.
Observations were made on plant growth and development during vegetation – emergence,
external symptoms of phytotoxicity (chlorosis, necrosis, deformations of the plantlets).
In August (15-20 August) the rootstocks were qualified and the biometric characteristics
stem height (h-cm) and thickness at the place of grafting (mm), were reported. Plant
qualifying at that period coincided with the time of grafting, determined as the most
suitable for grafting in Bulgarian fruit-growing practice.
3.2 Results and discussion
3.2.1 Effect of soil-applied herbicides on the vegetative habits of yellow plum seedling
rootstocks
The plants of all the variants treated with herbicides emerged at the same time as those of
the control. External symptoms of phytotoxicity (chlorosis, necrosis, deformations of the
plantlets) were not observed. Later a slight delay of growth was reported in all the three
variants treated with different rates of metolachlor /Dual Gold 960 EC/. Growth depression
was more obviously expressed in the variants of the medium and the high rates of
metolachlor – Dual Gold 960 EC – 1,5 l/ha and 1,875 l/ha (Var. 12 and Var. 13).
The measured biometric characteristics – thickness at the place of grafting and plant height
during vegetation showed the different effect of the herbicides applied to soil at the
respective rates on growth and development of the yellow plum seedling rootstocks. The
results obtained in the different years showed the same tendency and they were discussed
as averaged values.
The results obtained about the thickness at the place of grafting showed that the plants
treated with the herbicides napropamide, pendimethalin and terbacil applied at the three
studied rates, had a larger thickness compared to the rootstocks in the control variant (Fig.
17). That could be explained by the efficient control on weed vegetation exerted by the
applied rates of herbicides during the first three months of seedling vegetation and the
eliminated competition of weeds for moisture, nutrient substances and light. It created
suitable conditions for the successful emergence, growth and maturing of the rootstocks.
Thus they reached the thickness at the place of grafting permitting their inoculation in the
same year of their planting.
After treatment with the mentioned herbicides, values closest to the control were reported in
the variant with the low rate of napropamide – Devrinol 4 F – 3,0 l/ha (Var. 2) in all the
three years of the study, which could be explained by the lower herbicide activity and
efficiency against the weed vegetation. The differences were statistically insignificant –
LSD 5% = 0,19 (2001); 0,39 (2002); 0,32 (2003).
During the three study years the largest thickness at the place of grafting was reported in
the rootstocks of Variant 9 (terbacil – Sinbar 80 WP – 1,0 kg/ha) – 7,3 mm, of Variant 6
(pendimethalin – Stomp 33 EC – 4,0 l/ha) – 7,3 mm and of Variant 3 (napropamide –
Devrinol 4 F – 4,0 l/ha) – 7,2 mm, versus 5,1 mm – the average thickness at the grafting zone
in the control plants. Therefore, it could be admitted that the active substances
napropamide, pendimethalin and terbacil applied at the tested rates, did not have a
suppressing effect on growth and development of the seedlings.
512
Herbicides, Theory and Applications
9
width in the grafting zone (mm)
8
7
6
5
4
3
2
1
0
1
2
3
4
5
6
7
8
9
10 11 12 13
variants
2001
2002
2003
in average for the period
LDD5 % (2001) = 0,19 ; LSD 1 % = 0,25 ; LSD 0,1% = 0,32
LSD5 %(2002) = 0,39 ; LSD 1 % = 0,52 ; LSD 0,1% = 0,68
LSD5 % (2003) =0,32 ; LSD 1 % = 0,42 ; LSD 0,1% = 0,55
Fig. 17. Thickness at the place of grafting (mm) of the yellow plum seedling rootstocks in
August
90
80
stem height (cm)
70
60
50
40
30
20
10
0
1
2
3
4
5
6
7
8
9
10
11
variants
2001
2002
2003
in average for the period
LSD5 % (2001г.) = 0,70 ; LSD 1 % = 0,93 ; LSD 0,1% = 1,21
LSD5 % (2002 г.) = 3,83 ; LSD 1 % = 5,10 ; LSD 0,1% = 6,63
LSD5 % (2003г.)= 3,60 ; LSD 1 % = 4,78 ; LSD 0,1% = 6,22
Fig. 18. Plant height (cm) of the yellow plum seedling rootstocks
12
13
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
513
With the increase of metolachlor rate, a tendency to a decrease of the thickness was
observed (Var. 12-13).
That was also quite obviously expressed by the results about the effect of metolachlor on
plant height, although the depressing effect of metolachlor on that characteristic was more
weakly expressed. The obtained values were higher or close to those in the control (Fig. 18).
In the three experimental years the highest values were obtained after applying the medium
rate of: terbacil – Sinbar 80 WP – 1,0 kg/ha – 52,5 cm (Var. 9); pendimethalin – Stomp 33 EC
– 4,0 l/ha – 46,5 cm (Var. 6) and the medium and the high rates of napropamide – Devrinol 4
F – 4,0 and 5,0 l/ha – 40,0 cm and 40,3 cm (Var. 3 and Var. 4), the plant height in the control
being 34,5 cm.
In the experimental 2003, a variant with an unweeded and untreated control (К0) was
included in the study. Only single plants emerged in that variant, which were characterized
by rather delayed development in result of the suppressing effect of the weed vegetation.
When assessing their quality by reporting the stem height and thickness at the place of
grafting, the advantages of the plants treated with herbicides were obvious – both
concerning the quality of rootstocks and the number of the emerged seedlings (Fig. 19).
5,3
variants
2
3,2
1
0
1
2
3
4
5
6
w idth in the gr afting zone ( m m )
1-К 0 ,2- К
a)
28,2
variants
2
25,5
26,5
1
26
26,5
27
27,5
28
28,5
stem heigth ( cm)
1 - К0, 2 - К
b)
Fig. 19. Yellow plum seedling rootstocks – comparison between unweeded (К0) and weeded
control (К) in August: а/thickness at the place of grafting (mm); b/ plant height (cm)
514
Herbicides, Theory and Applications
a)
b)
Fig. 20. Yellow plum seedling rootstocks treated with: a) napropamid- Devrinol 4F-4.0 l/ha
and b) pendimethalin – Stomp 33 EC – 4,0 l/ha
It is clear that a good quality planting material without agrotechnical practices for control of
the weed vegetation (weeding by hand) or chemical substances (herbicides) would not be
possible to be produced. However, comparing plants grown under the conditions of strong
natural weed infestation to those treated with herbicides, makes it possible to evaluate the
advantages of the chemical means of weed control. It is quite obviously expressed when
comparing the qualitative characteristics of the plants grown under the conditions of
different weed infestation background – unweeded control, weeded control and variants
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
515
with application of various rates of the respective soil herbicides . The measured thickness at
the place of grafting in the rootstocks of the unweeded control (К0) in August was small –
3,2 mm. It is obvious that planting material with such parameters of thickness at the place of
grafting could not be inoculated in the year of seeding. Concerning the other characteristic –
plant height, the depressing effect of weed infestation was less expressed. That was
probably due to the attempts of the seedlings to overcome the weed competition for light.
Significant changes in the content of leaf pigments (chlorophyll a, b and a+b) and mineral
elements in the leaves of the yellow plum seedling rootstocks were not established after
treatment with the soil herbicides included in the study. There was a tendency to an
increased content in the plants having higher values of the biometric characteristics
(Rankova , 2004).
The following conclusions could be drawn from the results obtained about the effect of the
soil-applied herbicides on the vegetative habits of yellow plum seedling rootstocks:
1. The following herbicides are recommended for realizing an efficient weed control in the
production of planting material from yellow plum seeds: napropamide – Devrinol 4 F –
4,0 l/ha, pendimethalin – Stomp 33 EC – 4,0 ml/ha and terbacil – Sinbar 80 WP – 1,0
kg/ha.
2. After treatment of the seedling rootstocks with metolachlor – Dual Gold 960 EC, plant
growth is suppressed. Consequently, the application of the active substance
metolachlor should not be recommended in the integrated system of weed control in
the production of yellow plum seedling rootstocks.
3.2.2 Effect of the soil-applied herbicides on the vegetative habits of peach seedlings
The plants of all the variants emerged simultaneously. External symptoms of phytotoxicity
were not observed. Later a certain delay in plant growth and development was reported in
the three variants treated with metolachlor – Dual Gold 960 ЕC (Var. 11 – 13). Growth
suppression was very strong in the variant with the high rate of metolachlor – Dual Gold
960 EC – 1,875 l/ha (Var. 13), causing even the death of some plants.
The measured biometric characteristics in the middle of August showed the same tendency
throughout the years of the study and they were discussed as averaged values. The data
showed different effects of the soil-applied herbicides on rootstock development.
After treatment with the medium rates of napropamide – Devrinol 4 F – 4,0 l/ha (Var. 3),
pendimethalin – Stomp 33 EC – 4,0 l/ha (Var. 6) and terbacil – Sinbar 80 WP – 1,0 kg/ha
(Var. 9) the plants reached the highest values of thickness at the grafting zone – 7,0 mm, 7,2
mm and 7,2 mm, respectively (Fig. 21).
In all the three study years a lower value of thickness at the place of grafting was reported in
the plants treated with metolachlor at the three applied rates (Var. 11 – 12) compared to that
in the control. That was probably due to the depressing effect of metolachlor on plant
development. It was most strongly expressed after applying the high rate of Dual Gold 960
EC – 1,875 l/ha (Var. 13). Taking into consideration that rootstocks having a stem thickness
of 4,0 – 4,2 mm are not suitable for inoculation, it can be concluded that the herbicide
metolachlor has a depressing effect on the growth of peach seedlings.
The results about the effect of the soil herbicides on plant height showed that the values
were lower in the plants treated with the low rate of napropamide – Devrinol 4 F – 3,0 l/ha
(Fig. 21).
That was observed in all the three years of the study and it was probably due to the weaker
herbicide effect of the low rate of napropamide and the incidence of competition between
516
Herbicides, Theory and Applications
9
2001
2001
2003
in average for the period
8
width in the grafting zone (mm)
7
6
5
4
3
2
1
0
1
2
3
4
5
6
7
8
9
10 11 12 13
variants
LSD5 % (2001г.) = 0,15; LSD 1 % = 0,20 ; LSD 0,1% = 0,26
LSD5 % (2002 г.) = 0,38;LSD 1 % = 0,50 ; LSD 0,1% = 0,75
LSD5 % (2003г.)= 0,33; LSD 1 % = 0,45 ; LSD 0,1% = 0,58
Fig. 21. Thickness at the place of grafting (mm) of peach seedling rootstocks
2001
60
2002
2003
in average for the peroid
stem height (cm)
50
40
30
20
10
0
1
2
3
4
5
6
7
8
variants
LSD5 % (2001г.) = 1,07 ; LSD 1 % = 1,43 ; LSD 0,1% = 1,87
LSD5 % (2002 г.) = 3,38 ; LSD 1 % = 5,10 ; LSD 0,1% = 6,68
LSD5 % (2003г.)= 3,34 ; LSD 1 % = 4,46 ; LSD 0,1% = 5,84
Fig. 22. Stem height (cm) of peach seedling rootstocks.
9 10 11 12 13
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
517
the seedlings and the developing weed vegetation for moisture and nutrient substances.
However, the differences were statistically insignificant. Lower plant height was also
reported for the plants of the variants treated with metolachlor at the three rates of Dual
Gold 960 EC (Var. 11-13).
In average for the experimental period, it was most obviously expressed in the variant of the
high rate of Dual Gold 960 EC – 1,875 l/ha (Var. 13) – 33,5 cm, the plant height in the control
being 45,7 cm. Those differences were significant or highly significant by years.
However, when discussing the average values of plant height for the whole period of study,
the medium rates of the soil-applied herbicides proved to be optimal. The highest values of
plant height were reported in the variants treated with pendimethalin – Stomp 33 EC – 4,0
l/ha (Var. 6) – 52,2 cm, terbacil – Sinbar 80 WP – 1,0 kg/ha (Var. 9) – 51,7 cm and
napropamide – Devrinol 4 F – 4,0 l/ha (Var. 3) – 47,0 cm, the plant height of the control
being – 45,7 cm (Fig. 32).
On the basis of the obtained results about the effect of the soil herbicides on the biometric
characteristics established at the moment of grafting, it could be concluded that the active
substances napropamide, pendimethalin and terbacil at the three applied rates did not exert
a negative influence on growth and development of peach seedlings. Eliminating weed –
rootstock competition for moisture, nutrient substances and light in the first three months of
seedling vegetation (the post-effect period of the applied herbicides) enables the production
of plants suitable for grafting.
Significant changes in the content of chlorophyll and mineral elements in the leaves of the
peach seedling rootstocks were not established after treatment with the soil herbicides
included in the experiment. A tendency was established, similar to that in the yellow plum
seedling rootstocks, that the content of chlorophyll and mineral elements increased in the
plants having higher values of the biometric characteristics (Rankova, 2004).
In the experimental 2003, a variant with an unweeded and untreated control (К0) was
included in the study for establishing the effect of the soil-applied herbicides on growth
habits of peach seedlings. In that variant only single plants emerged. They were
characterized by a delayed growth and strongly suppressed development in result of the
high competition of the weed vegetation for moisture, light and nutrients.
In August the rootstocks of that variant had 3,8 mm thickness at the place of grafting. Those
rootstocks could not be grafted at that time (Fig. 23). The depressing effect of weed
infestation had an obvious impact on the other characteristic – stem height (Fig. 23).
When comparing the qualitative characteristics of the rootstocks in that variant with the
plants in the control weeded out by hand and the variants treated with herbicides, the
results obtained in yellow plum rootstocks were confirmed. A good quality planting
material suitable for grafting in the same year of seeding could not be produced without
mechanical (weeding out by hand) or chemical methods of weed control. That shows the
advantages of the chemical control of weeds in the production of peach seedling rootstocks.
1. The application of the following herbicides is recommended for the production of peach
seedling rootstocks: pendimethalin – Stomp 33 EC – 4,0 l/ha, terbacil – Sinbar 80 WP –
1,0 g/da and napropamide – Devrinol 4 F – 4,0 l/ha.
2. Treatment with metolachlor showed an inhibiting effect on the growth habits of peach
seedlings. The active substance metolachlor should not be applied for weed control in
the production of peach seedling rootstocks.
518
Herbicides, Theory and Applications
5,8
3,8
variants
2
1
0
2
4
6
8
width in the grafting zone(m m )
1-К 0,2-К
a)
49,9
32,8
variants
2
1
0
10
20
30
40
50
60
stem height ( h-cm )
1-К0,2-К
b)
Fig. 23. Peach seedling rootstocks – a comparison between unweeded control (K0) and weeded
out control (К) in August: а/ thickness at the grafting zone (mm); b/plant height (cm)
3.2.3 Effect of soil-applied herbicides on the vegetative habits of Mahaleb seedlings
Observations on the habits of Mahaleb seedlings treated with the soil-applied herbicides
included in the study showed that they were highly susceptible to soil herbicides. Visual
symptoms of phytotoxicity in the plants treated with napropamide, pendimethalin and
metolachlor were not established. The seeds treated with those herbicides emerged at the
same time as those in the control. Later, a certain delay in plant development was observed
in the variant treated with the highest rate of metolachlor Dual Gold 960 EC – 1,875 l/ha
(Var. 13).
In the three study years the plants treated with terbacil (Var. 8, 9, 10) responded in the same
way – only single plants emerged and they had a very delayed development. Later chlorosis
was detected, followed by withering and plant dying.
Consequently, it could be admitted that the soil herbicide terbacil was toxic for Mahaleb
seedlings at all the three applied rates.
Data of the biometric analysis showed the same tendency throughout the years of the study
and they were discussed as average values.
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
519
a)
b)
c)
Fig. 24. Peach seedling rootstocks treated with herbicides:
a) Var. 3 - napropamide – Devrinol 4 F – 4,0 l/ha; b) Var. 6 - pendimethalin – Stomp 33 EC –
4,0 l/ha; c) Var. 9- terbacil – Sinbar 80 WP – 1,0 kg/ha.
520
Herbicides, Theory and Applications
The biggest value of stem thickness at the place of grafting was reported in the plants
treated with pendimethalin – Stomp 33 EC – 4,0 l/ha (Var. 4 and 5) and metolachlor – Dual
Gold 960 EC – 1,5 l/ha (Var. 12), (Fig. 25). The differences to the control were of high
statistical significance.
12
2001
2002
2003
in average for the perid
width in the grafting zone (mm)
10
8
6
4
2
0
1
2
3
4
5
6
7
8
9
10
11
12
13
variants
LSD5 % (2001г.) = 0,45 ; LSD 1 % = 0,60 ; LSD 0,1% = 0,80
LSD5 % (2002 г.) = 0,31 ; LSD 1 % = 0,42 ; LSD 0,1% = 0,55
LSD5 % (2003г.)= 0,55 ; LSD 1 % = 0,73 ; LSD 0,1% = 0,98
Fig. 25. Effect of soil-applied herbicides on thickness at the place of grafting (mm) in
Mahaleb seedling rootstocks
Similar to the results in yellow plum and peach seedling rootstocks, values of thickness
close to the control were also established in the plants of the variant treated with the low
rate of napropamide (Var. 2). However, the differences were statistically insignificant. That
could be explained by the poorer efficiency of the lower herbicide rate and the existing
weed-rootstock competition for moisture, nutrients and light. Probably, due to the same
reasons, a smaller thickness was established in the plants treated with the low rate of
metolachlor (Var. 11).
Values of that biometric characteristic were also lower in the plants of the variant treated
with the highest rate of metolachlor – Dual Gold 960 EC – 1,875 l/ha (Var. 13). That was
probably due to the depressing effect of the high rate of metolachlor on rootstock
development.
The results about the effect of the soil-applied herbicides on plant height were analogous
(Fig. 26).
The plants of the variants with applied napropamide (Var. 2 – 4), pendimethalin (Var. 5 – 7)
and metolachlor (Var. 11 and 12) had a bigger height compared to those in the control. The
differences were statistically significant. Values close to or lower than the control variant
521
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
were established again in the plants of variants 2 and 13. Probably that was due to the
already mentioned poorer herbicide efficiency of the low rate of napropamide and the
existing competition with the weeds (Var. 2) and the exerted depressing effect of the high
rate of metolachlor (Var. 13).
80
2001
2002
2003
in average for the period
70
stem height (cm)
60
50
40
30
20
10
0
1
2
3
4
5
6
7
8
9
10
11
12
13
variants
LSD5 % (2001г.) = 13,50 ; LSD 1 % = 18,11 ; LSD 0,1% = 23,91
LSD5 % (2002 г.) = 2,86 ; LSD 1 % = 3,83 ; LSD 0,1% = 5,06
LSD5 % (2003г.)= 1,09 ; LSD 1 % = 1,46 ; LSD 0,1% = 1,93
Fig. 26. Effect of soil herbicides on the height of Mahaleb seedling rootstocks (cm)
When including the variant with an unweeded control (K0), all Mahaleb seedlings in that
variant died in result of the strong competition with the weed vegetation.
Similar to the results obtained in the experiments with yellow plum and peach, significant
changes in the content of chlorophyll and mineral elements in the leaves of Mahaleb
seedling rootstocks were not established after treatment with the soil-applied herbicides
included in the study. There was a tendency to an increase of their content in the plants
having higher values of the biometric characteristics (Rankova, 2007).
3.3 Conclusions
1. The application of napropamide – Devrinol 4 F – 4,0-5,0 l/ha, pendimethalin – Stomp 33
EC – 4,0 l/ha and metolachlor – Dual Gold 960 EC – 1,5 l/ha is recommended in the
production of Mahaleb seedling rootstocks.
2. The soil-applied herbicide terbacil (Sinbar 80 WP) had a strong toxic effect on Mahaleb
seedling development and caused plant death.
3. The inhibiting effect of the soil herbicide metolachlor was exerted after treatment with
the highest rate of Dual Gold 960 EC – 1,875 l/ha.
522
Herbicides, Theory and Applications
a)
b)
c)
Fig. 27. Mahaleb seedling rootstocks treated with: a) napropamide (Var. 5);
b) pendimethalin (Var. 6) and c) metolachlor (Var. 13)
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
523
4. Discussion
The results obtained from the pot and field experiments confirmed the initial assumption
that the stone fruit species are susceptible to the application of soil herbicides. In the
production of seedling rootstocks risky for causing phytotoxicity proved to be the probable
direct contact between the germ of the emerging plant and the soil herbicide. In parallel
with those studies, model experiments under in vitro conditions were carried out for
phytotoxicity caused by soil herbicides. Using the ebryoculture method, the different effect
of the soil-applied herbicide pendimethalin on the development of the embryo root of
yellow plum embryos was established, depending on its initial length at the time of
treatment (Gercheva, et al., 2001). Phytotoxicity (inhibition of root meristem growth and
browning of cotyledons) was established in the treatment of embryos with embryonic
roots< 5mm in length. The embryos whose embryonic roots at the moment of herbicide
application were longer than 5 mm did not show any symptoms of phytotoxicity (Fig.28).
That allowed admitting that the selectivity of the active substance pendimethalin was of a
physical character (a direct contact with the germinating seeds when they had been sown at
a shallower depth) and of a physiological character (the type and the physiological stage of
the plant development). Analogous results or results close to the model experiments with
sand culture were obtained about the inhibiting effect or the lack of visual phytotoxicity of
the soil herbicides napropamide, pendimethalin and terbacil under in vitro conditions in
some vegetative rootstocks – GF-677, ММ 106 and Wangenheims (Prunus domestica),
(Rankova, et al., 2004; Rankova, et al., 2006a; Rankova, et al. , 2006b; Rankova, et al., 2009).
Fig. 28. Yellow plum embryos treated with pendimethalin
The results obtained from the field experiments allowed to accept the medium rates of
napropamide – Devrinol 4 F – 4,0 l/ha, pendimethalin – Stomp 33 EC – 4,0 l/ha and terbacil
– Sinbar 80 WP – 1,0 kg/ha as suitable rates for applying in fruit nurseries in yellow plum
and peach seedling rootstocks, on the one hand, and, napropamide – Devrinol 4 F – 4,0-5,0
l/ha, pendimethalin – Stomp 33 EC – 4,0 l/ha and metolachlor – Dual Gold 960 EC – 1,5
l/ha – in Mahaleb seedlings. The highest values of biometric characteristics (thickness at the
place of grafting and stem height) were reported in the plants of those variants. The major
characteristic determining the planting material quality and its suitability for grafting is the
thickness at the place of grafting. After treatment with herbicides applied at the rates
mentioned, the highest values of the thickness at the place of grafting were obtained. That
contributed to the production of high quality rootstocks suitable for inoculation in the year
of seeding. The medium herbicide rates proved to be efficient against weed vegetation and
they created good conditions for the development of the seedlings. It is known that
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Herbicides, Theory and Applications
eliminating the weed competition during the first three months of seedling vegetation (the
period of seed emergence and the beginning of plant development) is a very important
precondition for the normal growth and development of the plants. The results about the
effect on the characteristics stem height and above-ground vegetative mass confirmed the
incidence or the lack of a depressing effect on plant growth.
It is obvious that the low rates of the mentioned herbicides were less efficient against weed
infestation. That was well expressed in the years of study under the conditions of higher
weed density. The presence of weed plants in the plots of the variants treated with low rates
created competition with the seedlings for moisture, light and nutrients. As a result of that
lower values of the biometric characteristics were reported. Due to that only single cultural
plants emerged with seriously delayed development in the variant of unweeded and
untreated control.
In the variants with the high rates of napropamide (Var. 4), pendimethalin (Var. 7) and
terbacil (Var. 10) the herbicide efficiency was also very well expressed. The differences in the
values of the rootstock biometric characteristics in those variants compared to the values in
the variants with the medium rates were small and statistically insignificant in most cases.
External symptoms of phytotoxicity were not observed.
Metolachlor applied at the three rates had a suppressing effect on the growth habits of both
the yellow plum and peach seedling rootstocks. That was quite obviously expressed when
applying the high rate.
The results reported about the effect of the studied herbicides on growth habits of seedling
rootstocks confirmed the results about the effect of some active substances obtained by other
authors- (Hogue, 1983) established that napropamide (4 kg/ha) and the herbicide mixture
napropamide + terbacil (4 + 2 kg/ha) were not toxic and did not cause disturbances in the
development of peach seedlings. After treatment with trifluralin (1 kg/ha) referring to the
group of nitroanilines, to which pendimethalin also belongs, no toxic effect on peach
seedlings was established, as well. Strong toxicity of peach seedlings was observed after
treatment with metolachlor (1,7 – 6,8 kg/ha) – suppression in seed emergence and growth
disturbances were reported.
When comparing the responses of the seedling rootstocks of the three species, it could be
concluded that the herbicide effect was weaker when treating yellow plum seeds (stones).
Probably the good germination capacity of the yellow plum seeds and their easier
adaptability to the soil and climatic conditions contributed to their much easier overcoming
of the herbicide stress effect.
Comparing the bahaviour of Mahaleb seedlings to that of the seedling rootstocks of other fruit
species allowed concluding that Prunus mahaleb L. species is more susceptible to the applied soil
herbicides compared to yellow plum and peach. Similar habits were obtained after applying
napropamide and pendimethalin at the studied rates, showing a lack of phytotoxicity in the
rootstocks. A depressing effect of the active substance metolachlor in Mahaleb plants was
established only after treatment with the highest rate of Dual Gold 960 EC (Var. 13).
The economic analysis of the chemical control of weeds in fruit nurseries showed that the
application of herbicides in the production of yellow plum and peach seedling rootstocks led
to 16 – 36 times higher return on investment and the efficiency coefficient was from 14 to 43
times higher compared to hand weeding out. Data about the economic effect of applying
herbicides in the production of Mahaleb seedling rootstocks were similar – from 12 to 27 times
higher return on investment and from 14 to 30 times higher efficiency coefficient in comparison
with hand weeding out (Manolova & Rankova, 2005; Manolova & Rankova, 2007).
Possibilities of Applying Soil Herbicides in Fruit Nurseries – Phytotoxicity and Selectivity
525
The recommended soil herbicides (with an exception of terbacil, which is prohibited for use
nowadays) have about a three-month period of persistency, weak water solubility and they
do not carry the risk of soil and ground water pollution with residues (Tonev, 2000). Due to
the fact that usually soils of a light mechanical composition are used for establishing fruit
nurseries – alluvial, alluvial-meadow, characterized by their weak absorption capacity – the
risk of polluting such soils with residual amounts of herbicides was minimal (Bakalivanov, 1980).
There are data that the herbicides recommended for application in fruit nurseries do not
have an inhibiting effect on soil microflora (Bakalivanov, 1980). Consequently, their
application does not have a negative effect on the biological activity of soil.
In conclusion, it should be mentioned that weed control in fruit nurseries should be carried
out on the basis of a sound knowledge about the response of the separate rootstock species
to the applied soil herbicides, looking for the point of intersection of the herbicide rate, so
that it is efficient enough against the weeds and selective to the cultural plant. Thus, a good
quality planting material for establishing new fruit orchards will be produced.
5. References
Abdul, B., Mohammad, K. & Tasleem, J. (1998): The effect of chemical weed control in peach
nursery on germination and seedling growth. Sarhad Journal of Agriculture, 14, 1, pp.
43-47.
Arenstein ,Z. (1980). The control of annual weeds in young and matute orchards by means
by terbutryne and terbutryne/simazine mixture. British crop protection conference of
weeds, Nottingam, Proceedings, 1, pp. 159 – 163.
Bakalivanov, D.(1980). Soil- microbiological aspects on herbicide contamination. Institute of
soil science”Nikola Poushkarov’-Sofia, pp. 254
Clay, D. V.( 1984). Evaluation of the tolerance of cheery and plum trees to root application
of herbicide using a sand culture method. Aspects of applied biology. Assoc of
applied biologist, 8 , pp. 75 – 86.
Hogue E. (1983). Weed control in peach seedlings. Exp. Committee on weeds. Western Canada
Section, Res. Rep., 3, pp. 145 – 146.
Jankovic, R., Stanojevic, V.& Rakicevic M. (1995): Herbicides in nursery tree production.
Jugoslovensko Vocarstvo, 29, 1-2, pp. 93-101.
Gercheva, P., Rankova, Z. & Ivanova, K. (2002). In vitro Test System for Herbicide
Phytotoxicity on Mature Embryos of Fruit Species, Acta Horticulturae, 577, ISSN
0567-7572, pp. 333- 336.
Kaufman, E.& Libek, A. (2000a). The application of herbicides in a fruit – tree nursery.
Proceedings of the International Conference Fruit Production and Fruit Breeding, Tartu,
Estonia,: 61-64.
Kaufman, E.& Libek, A. (2000b). Damages to cherry plum seedlings (Prunus cerasifera var.
Daviricata Bailey ) caused by herbicides. Proceedings of the International Conference
Fruit Production and Fruit Breeding, Tartu, Estonia, pp. 132-137.
Lange, A.H.(1987). Comparative phytotoxicity studies in trees and vines. Proceedings 39 th
annual California weed conference,pp. 210 – 212.
Lourens ,A.F.; Lange, A. & Calitz, F. (1989). Phytotoxicity of pre- emergence herbicides to
peach seedlings (Prunus persica ). South African Journal of plant and soil, 6 , 2 , pp. 97
– 102.
Manolova, V. & Rankova,Z. (2005). Economic results of using herbicides in the production
of some seedling rootstoks, Bulgarian Journal of Agricultural Science, 2, pp. 159-163
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Herbicides, Theory and Applications
Manolova, V. & Rankova, Z (2007). Comparative economic evaluation of herbicide use in the
production of Prunus mahaleb seedling rootstocks. Agricultural Economics and
Managements, 52, 2, pp. 56-58
Milusheva, Sn.& Rankova.Z. (2002). Plum pox poty virus Detection in Weed Species under
Field Conditions. Acta Horticulturae, 577, ISSN 0567-7572, pp. 283 – 287.
Milusheva, Sn. & Rankova.Z. (2006). Serological Identification of Plum Pox Virus in some
economic important weeds. Agricultural Science , ISSN 1313-3534, 4, 38-41
Mitchell, R.B.& Abernethy, R.J. (1989). The effect of weed removal on the growth of young
apricot trees. Proc.40 th New Zealand Weed and Pest control conf. Nelson , Aug.11-13,
Palmerston North, pp. 209 -212.
Oosten, Van H.J. (1971). Futher information about herbaceous host range of sharka /Plum
pox/. Ann. Phytopathologie, pp. 195 -201.
Porterfield J.D., Odell J.D. & G.R. Huffman (1993). Effects of DCPA/ napropamide
herbicide tank mix on germinants of seven hardwood species in tree nursery beds.
Tree Planters Notes, 44, 4, pp. 149-153.
Rankova, Z. & Milusheva, Sn.(2001). Problems with the weed plants in the epidemiology of
Plum Pox Virus. Fifth Scientific Practical conference ”Ecological problems of
Agriculture” AGROEKO 2001,Agricultural University-Plovdiv, Scientific Works,
vol. XLVI, book1,pp. 381-384
Rankova, Z. (2002). Effect of some soil herbicides on growth habits of peach seedlings
(Persica vulgaris L.) under the conditions of sand culture. Proceedings of Papers from
the Fourth Scientific and Technical Conference with International Participation
“ECOLOGY AND HEALTH 2002”, pp. 75-80.
Rankova, Z. (2004). Study on the effect of some soil herbicides on the vegetative habits of yellow
plum and peach seedling rootstocks, PhD Thesis.,fruit growing Institute- Plovdiv, pp.156
Rankova, Z. , Gercheva, P. & Ivanova K. (2004). Screening of soil herbicides under in vitro
conditions, Acta Agriculturae Serbica, vol. IX, 17,pp. 11-17
Rankova, Z(.2006). Effect of some soil herbicides on the vegetative habits of mahaleb cherry
(Prunus machaleb L.) seedling rootstocks, Bulgarian Journal of Agricultural Science,
12,pp. 429-433
Rankova, Z., Nacheva L., Zapryanova K., Gercheva P. & Bozkova, V.(2006a). Effect of soil
herbicides napropamid and pendimethalin on rooting and growth of the vegetative
plum rootstock Pr. domestica Wangenheims under in vitro conditions. Journal of
mountain agriculture on the Balkans, 9(3), pp. 349-359.
Rankova, Z., Nacheva L., Gercheva P, & Bozkova V.,(2006b). Vegetative habits of plum
rootstock Wangenheims after treatment with terbacil under in vitro conditions. VI
National Conference “Ecology and helth” Plovdiv, May 2006 pp. 339-344.
Rankova, Z (2007). Мineral composition and chlorophyll content in the leaf mass of mahaleb
seedling rootstocks (Prunus mahaleb L.) after the application of some soil herbicides.
International scientific Conference-Plant Genetic Stoks-The basis of Agriculture of today. 1314 June 2007, Sadovo, ISBN 978-954-517-083-6, 2 ,pp. 599-601
Rankova, Z., Nacheva, L. & Gercheva P. (2009). Growth Habits of the Vegetative Apple
Rootstock MM 106 After Treatment With Some Soil Herbicides Under In Vitro
Conditions, Acta Horticulturae 825, ISSN 0567-7572, pp. 49-54
Тоnev, Т. (2000). Handbook of integrated weed control and culture of farming, Book 2,
Higher Institute of Agriculture, Plovdiv, pp.275, pp 126-127
Wazbinska, J. (1997). Technological improvement of generative cherry plum rootstocks, oneyear Wegierka Lowicka plum trees and apple seedlings. Acta. Academiae
Agriculturae ac Technicae, Olstenensis Agricultura, 64 c, pp. 107.
24
Herbicide Sulcotrione
Nanxiang Wu
Department of Environmental Health, Institute of hygiene
Zhejiang Academy of medical Sciences
P.R.China
1. Introduction
Sulcotrione is a new kind of triketone-type herbicide, which inhibits the activity of plant 4hydroxyphenylpyruvate dioxygenase (HPPD) [1]. It has been widely applied to control and
prevent wild grass and weeds for crops such as barley, wheat and maize in Europe, the USA
and many other countries, including China, since 2000 [2]. HPPD also exists in mammals for
the catabolism of tyrosine. Although sulcotrione shows low toxicity in subchronic and
chronic toxicity testing, it can also, through the food chain, be continuously transferred to
and accumulate in the human body when it is widely used and applied and when part of its
residue in the soil is absorbed by and aggregated in plants. Another part of its residue
pollutes the water table through surface runoff and the underground permeable layer.
Therefore, sulcotrione, as an HPPD inhibitor, has potential risks to human health, and its
possible role as an environmental pollutant must raise attention and vigilance.
The residual level of sulcotrione in the soil directly affects its accumulation in agricultural
products and is closely related to the level of human exposure. Currently, there is a standard
for sulcotrione residue in the soil. Therefore, the investigation of the sulcotrione soil residual
levels can provide scientific evidence for the rational application of sulcotrione and the
establishment of pesticide residue standards. In addition, this investigation also can supply
more data for soil pesticide monitoring databases and provide an informative source for
scientific research.
HPPD, a target molecule of sulcotrione, exists universally in prokaryotes and eukaryotes.
The catabolism of tyrosine is repressed when HPPD is inhibited by sulcotrione. Epinephrine
is derived from tyrosine. The detection of tyrosine and epinephrine levels in the blood of
rats exposed to sulcotrione can reflect the inhibiting effect of HPPD on epinephrine levels.
The regulatory mechanisms for blood glucose are complicated. There are many possible
pathways for sulcotrione to interfere with blood glucose levels. The rats were exposed to
different doses of sulcotrione for different times to get blood glucose levels, enzyme activity,
hormone levels, etc. The correlations between blood glucose levels and different parameters
were analyzed in the rats exposed to sulcotrione to establish or exclude the possible
interference of sulcotrione with blood glucose regulation.
In vitro experiments have already shown that sulcotrione can specifically, effectively and
reversibly inhibit hepatic HPPD activity. However, there are few in vivo reports on this
question. In this study, we investigate, the effects of sulcotrione on hepatic enzyme activity,
tyrosinemia and cornea damage through subacute and chronic toxicity tests in rats.
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Herbicides, Theory and Applications
2. Materials and methods
2.1 The investigation of sulcotrione soil residual levels
2.1.1 Soil sample collection
The soil samples were collected following the sampling rules of national farmland and the
environmental standards for safety, high quality and pollution-free agricultural products
GB/T18047.1-2001 from September 2007 to September 2008 within eight regions in the
Zhejiang Province, P.R. China. The soil sampling depth was 0 to 20 cm. A single soil sample
was a mixture of multiple (5) spots. A total of 200 soil samples were collected. At the same
time, a total of 10 samples (from a mixture of 10 different regions) of cultured plants (corn)
were collected in Quzhou and Dongyang in the Zhejiang Province.
2.1.2 Sample preparation
One gram samples (air-dried and passed through a 100 mesh sieve) were dissolved in 1 mL
of methanol by mixing for 30 seconds. After incubation for 30 minutes, the sample was
treated with ultrasound for 10 minutes. Then the sample was centrifuged for 5 minutes at
29000 g and the supernatant was collected and filtered through a membrane for detection.
2.2 Sulcotrione analysis
2.2.1 HPLC chromatographic conditions [3-4]
The mobile phase consisted of methanol:0.1M sodium dihydrogen phosphate triethylamine
= 40:60 (v/v). The flow rate was 0.8 mL/min (A pump: 0.1M sodium dihydrogen phosphate
triethylamine buffer 0.48 mL/min, B pumb: methanol 0.32 mL/min). The detection
wavelength was 254 nm. The column temperature was room temperature. The sensitivity:
was 0.001 AUFS. The injection volume was 10 μl.
2.2.2 Sulcotrione standard curve
2.2.2.1 Preparation of the standard buffer
A 0.0100 g (accuracy to 0.0001 g) sulcotrione standard sample was accurately weighed. It
was dissolved in a small volume of methanol which was poured into a 100 mL volumetric
flask. It was diluted in methanol to the final scale. It was the standard stock sulcotrione
solution. Before use, the stock solution was diluted in methanol to 10 mg/L as the working
solution. The sulcotrione standard HPLC profile was made according to the above
mentioned chromatographic conditions. The sulcotrione standard analysis sample was
provided by Sigma and had a purity of more than 98% (the number is 46318, which is valid
until March 2013).
2.2.2.2 Calculating the results
The sample analytic results were extrapolated based on the area external standard method.
The concentration calculation was: X = solution volume x C/sample weight, where X is the
sulcotrione concentration (mg/kg) and C is the concentration calculated from the standard
curve.
2.2.3 Statistical analysis
SPSS 15.0 version was used for the statistical analysis. The results are presented as mean ±
SD. SD is the standard deviation.
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Herbicide Sulcotrione
2.3 Investigation of tyrosine levels in a population who might have had exposure to
sulcotrione.
2.3.1 Determining the population
The population consisted of forty males and forty females (80 totals) who work in the
sulcotrione industry and another forty males and forty females who do not work in the
sulcotrione industry; ten laboratory staff who have had contact with sulcotrione and 10 staff
who do not have had contact were also included.
2.3.2 Blood collection.
The blood was centrifuged at 3000 g for 15 minutes. Then the supernatant was collected and
cryopreserved at -18oC. The blood sample was prepared for sulcotrione detection as follows:
The frozen serum was thawed at room temperature. A certain volume of the serum sample
was transferred and mixed with the same volume of methanol. After this, it was treated
with ultrasound for 10 minutes. And then the sample was placed on table for 10 minutes.
After centrifuging at 29000 g for 5 minutes, the supernatant was passed through the
membrane for detection. The blood sample was prepared for tyrosine detection as follows: a
certain volume of sample was dissolved in the same volume of 0.59M HClO4. It was mixed
for 30 seconds and centrifuged at 29000 g for 5 minutes. The supernatant was collected and
passed through the membrane for detection.
2.3.3 Detection methods [5-7]
2.3.3.1 Standard materials
The analytical standard sulcotrione was purchased from Sigma as described as 2.2.2.1. The
analytical standard tyrosine was provided by Dikma and had purity≥ 99.5% (the case No. is
0-110, which is valid until August of 2013).
The chromatographic conditions for tyrosine detection were: a mobile phase of
acetonitrile:water = 5:95 (v/v); a 250 mm x 4.6 mm C18 column with particle size 5 μm; a flow
rate of 0.8 mL/min; and a detection wavelength of 210 nm. The chromatographic conditions
for sulcotrione detection were: a mobile phase of methanol:0.1 M sodium dihydrogen
phosphate and triethylamine buffer = 40 : 60 (v/v); a 250 mm × 4.6 mm C18 column with
particle size 5 μm; a flow rate of 0.8 mL/min; and a detection wavelength of 254 nm. Tyrosine
and sulcotrione were quantified using the extrapolation method. Under the chromatographic
conditions suitable for instrument characteristics, tyrosine and sulcotrione were obtained in a
linear correlation curve. The linear regression equation for sulcotrione was y = 20742.17x
+655.12, with a correlation coefficient of 0.9993. The linear regression equation for tyrosine was
y = 207412.2x-0.1092, with a correlation coefficient of 0.9985.
2.3.3.2 The precision, accuracy and detection limit
The detection precision, accuracy and detection limit for the sulcotrione and tyrosine
detection methods were:
parameters
Precision (RSD, %)
Sulcotrione
Tyrosine
4.83-6.79
1.70-8.70
RSD: relative standard deviation.
Accuracy
(recovery, %)
94.65-109.23
89.63-108.22
Detection limit
0.044 mg.L-1
0.13 umol.L-1
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Herbicides, Theory and Applications
According to the requirements of the testing methodology, the relative standard deviation
(RSD) is less than 10% and the recovery rate is between 90-110%. The results show that
HPLC method for sulcotrione and tyrosine detection meets the above requirement to ensure
that the experimental data is accurate and reliable.
2.3.4 Statistical analysis
The statistical software SPSS15.0 was used for the one-way ANOVA analysis, least
significant difference method (LSD) analysis and Dunnett's T test. The Pearson method is
used for linear correlation analysis. The data are presented as mean ± SD.
2.4.The test of rats exposed to sulcotrione for 28 days to determine the time and
response relationship between blood sulcotrione and tyrosine and main toxic
response.
2.4.1 dose group [8-9]
The original sulcotrione (purity > 95%) was provided by a domestic corporation. The
acceptable daily intake (ADI) of 0.005 mg/kg, extrapolated from the results of a sulcotrione
rat chronic toxicity test for no observed adverse effect level (NOAEL), was designated as the
low-dose group; the medium-dose group was 0.05 mg/kg and the high-dose group was 0.5
mg/kg. A group without sulcotrione exposure was the control group. There were 28 rats in
each group (equal numbers of males and females).
2.4.2 Route of exposure, time and test indicators
The rats were fed with sulcotrione dissolved in cooking oil once a day for 28 continuous
days. The control group was fed cooking oil only. Blood was collected from the tail vein at
days 0, 7, 14, 21, and 28 after sulcotrione exposure. The rats were not fed on the days of
blood collection. At day 28, half the male and female rats were sacrificed and the sulcotrione
feeding was discontinued for the remaining rats. At days 35 and 42, blood was collected
from the tail vein. During the feeding, the body weight, diet, hair and activity of the rats
were routinely checked and recorded. After they were sacrificed, the liver, kidneys, adrenal
glands and other organs were collected for pathologic study. The organ and body weight
ratio was calculated.
2.4.3 The time of administration, sampling and sample preparation.
Sulcotrione was given to rats at the same time each day (around 16:00). The rats were fasted
from 21:00 the day before blood collections. The blood was collected at 8:00 the next day.
The blood was centrifuged at 3000 g for 15 minutes. The serum was collected and stored at 18oC for cryopreservation. The blood sample was prepared for sulcotrione detection as
follows. The serum was thawed at room temperature. An aliquot of serum was added to the
same volume of methanol and mixed for 30 seconds. The mixture was treated with
ultrasound for 10 minutes and placed on table for another 10 minutes. Then the sample was
centrifuged at 29000 g for 5 minutes. The supernatant was collected and filtered through the
membrane for detection. The blood sample was prepared for tyrosine detection as follows.
The serum was thawed at room temperature. An aliquot of serum was added to the same
volume of 0.59 M HClO4 and mixed for 30 seconds. The sample was centrifuged at 29000g
for 5 minutes. The supernatant was collected and filtered through the membrane for
detection. Blood glucose was directly measured from tail vein blood sampling.
Herbicide Sulcotrione
531
2.4.4 The analysis method and quality control of detection indicators
The rat blood tyrosine and sulcotrione HPLC detection indicators were established. The
accuracy, precision and detection limit for the detection method was under quality control
(2.3.1). The blood glucose was detected by the Johnson & Johnson Rapid Blood Glucose
Detector (USA). The instrument was calibrated with standard reference liquid before blood
glucose detection. The original sulcotrione has more than 98.9% active component. The peak
area extrapolation method was used for quantitative analysis of tyrosine and sulcotrione.
2.4.5 Statistical analysis
The statistical software SPSS15.0 was used for one way ANOVA analysis, least significant
difference method (LSD) analysis and Dunnett's T test. The Pearson method was used for
linear correlation analysis. The data are presented as mean ± SD.
2.5. Effects of sulcotrione on hepatic enzymes involved in tyrosine catabolism,
tyrosinemia, and blood glucose in rat.
2.5.1 Animals and treatments
Sulcotrione with a purity of > 95.5% w/w, was supplied by Jia Hua Import & Export Co.,
Ltd (Zhejiang, China). male Alpk:APfSD (Wistar-derived) rats, aged from 5 to 6 weeks and
obtained from Zhejiang Experimental Animal Center [SCXK (zhe) 2008-0033], were housed
in stainless steel, wire bottom cages under standard housing conditions (controlled
atmosphere with 12:12 h light/dark cycles, 55 ± 5% humidity and an ambient temperature of
22 ± 3ºC). The rats were fed on a commercial powdered diet (GB 14924-2001) and given
filtered water ad libitum. Rats were acclimatized for 3 days prior to the experiment. Groups
of 8 sulcotrione-treated rats and 8 control rats were dosed with either corn oil alone or
sulcotrione in corn oil at 5 ml/kg body weight at 0.1, 0.5, and 5 mg/kg/day for 90 days.
Throughout the study, clinical signs were observed, body weight was recorded weekly, and
food consumption was monitored twice weekly. Animal care and monitoring were carried
out in accordance with strict guidelines issued by the P.R. China legislation. All animal
procedures and treatments were performed according to our Institute Animal Care and Use
Committee (Certificate No. IACUC-03-001) and animals were terminated when deemed to
be under moderate stress or discomfort.
2.5.2 Hepatic enzymes involved in tyrosine catabolism assay
The rats were sacrificed after the 90 days test by inhalation of an overdose of halothane as
previously described. Livers were removed and then homogenized with 10 up-down
strokes in 30 ml of ice-cold 0.32 M sucrose, and then diluted to give a 20% (w/v)
homogenate. The homogenate was then centrifuged at 105,000 g for 60 min at 4˚C to remove
particulate material. The supernatant (cytosol fraction) was stored in aliquots at -70˚C prior
to the assay of activities of TAT, HPPD and HGO. The protein content in the supernatant
was measured using bovine plasma albumin (BSA) as the internal standard. TAT was
assayed in liver cytosol by the method of Schepartz, 1969. HPPD and HGO were measured
in liver cytosol by monitoring oxygen consumption after addition of the relevant substrate
by the methods described by Ellis et al., 1995, respectively.
2.5.3 Serum epinephrine and tyrosine analysis
After oral glucose tolerance test, femoral artery blood was adopted and then separated the
serum. Serum epinephrine and tyrosine were measured by rat epinephrine ELISA kit
532
Herbicides, Theory and Applications
(Uscnlife Science & Technology Company, USA) and High Performance Liquid
Chromatography (HPLC, SHIMADZU, LC-20AD), respectively.
2.5.4 Fasting blood glucose test and Oral glucose tolerance test
During treatment fasting blood glucose of tail vein in rat were measured in 0, 30, 60, 90 day
(Fasting time: from 08:00 to 14:00) using fast blood glucose meter (Johnson & Johnson
Services Inc. USA). After final dosing, all rats were fasting for overnight (about 12 hours),
and then oral glucose tolerance test was adopted. We first measured blood glucose of tail
vein in rat in 0 min, after that immediately giving glucose water solution (2 g/kg b.w ) , then
blood glucose were measured in 30, 60, 120 min respectively.
2.5.5 Statistical analysis
The differences between sulcotrione-treated animals and controls were analyzed using SPSS
Version 13.0 for Windows (SPSS Inc., Chicago, IL, USA). Changes in the concentration of
tissue tyrosine or the enzymes involved in tyrosine catabolism in the time following
sulcotrione treatment were analyzed using an analysis of variance followed by the Dunnett t
test. A p-value below 0.05 was considered to be statistically significant between
experimental groups
3.Results
3.1 Sulcotrione levels in the environment
3.1.1 Sulcotrione soil residual levels
Sulcotrione soil residual levels in the area where the sulcotrione was used in Zhejiang
Province are summarized in table1-1 and figure1-1. The mean sulcotrione soil residue was
between 0.19-0.47 mg/kg.
area
Quzhou Wenzhou Jiande
N
37
20
24
Mean ±
0.35±
0.30±0.18 0.28±0.15
sd
0.19
Dongyang Haining Ninghai Longyou Jinhua
Total
34
10
10
28
37
200
0.19±
0.33±0.19
0.33±0.18 0.41±0.19 0.47±0.17 0.35±0.19
0.08
Table 1.1. Sulcotrione soil residual levels from the sampling area in Zhejiang province
(mg/kg)
Figure 1-2 shows a plot of the distribution of the sulcotrione residual levels in the 200 soil
samples against the expected normal probability distribution. The scatter graph follows an
approximately straight line. So the test data follows a normal distribution. The arithmetic
average of the sulcotrione soil residual levels in Zhejiang Province was 0.35 ± 0.19 mg/kg.
3.1.2 Sulcotrione corn residual levels
The sulcotrione residual levels in the 10 corn samples from the Quzhou and Dongyang areas
are shown in Table 1-2. The detected values are between 0.02 to 0.10 mg/kg.
533
Herbicide Sulcotrione
Fig. 1-1. The distribution of sulcotrione soil residual levels in Zhejiang Province (mg/kg, n:
sample number)
1. 0
Expect ed Cum Pr ob
0. 8
0. 6
0. 4
0. 2
0. 0
0. 0
0. 2
0. 4
0. 6
0. 8
1. 0
Obser ved Cum Pr ob
Fig. 1-2. The normal distribution P-P plot for sulcotrione soil residue.
534
Sample
number
Average
Herbicides, Theory and Applications
1
2
3
4
5
6
7
8
9
10
0.03
0.06
0.05
0.04
0.02
0.08
0.07
0.10
0.05
0.07
Table 1-2. Sulcotrione corn residual levels (mg/kg)
1. 0
Expect ed Cum Pr ob
0. 8
0. 6
0. 4
0. 2
0. 0
0. 0
0. 2
0. 4
0. 6
0. 8
1. 0
Obser ved Cum Pr ob
Fig. 1-3. The normal distribution P-P plot of sulcotrione coin residue.
Figure 1-3 shows a plot of the distribution of the sulcotrione residual levels in the 10 corn
samples against the expected normal probability distribution. The scatter graph shows an
approximately straight line. So the test data follows a normal distribution. The arithmetic
average of the sulcotrione soil residual levels in Quzhou and Dongyang was 0.06 ± 0.02
mg/kg.
3.2 Human serum tyrosine level
We had 145 valid blood samples collected from the sulcotrione exposed population and the
control population. The serum tyrosine concentration in the sulcotrione exposed population
was 94.14 ± 19.67 nmol/ml for males (N = 37) and 98.85 ± 21.66 nmol/ml for females (N =
31). In the control population, the serum tyrosine concentration was 97.60 ± 16.27 nmol/ml
for males (N = 35) and 100.2 ± 18.40 nmol/ml for females (N = 35). In laboratory staff who
had contact sulcotrione, the serum tyrosine concentration was 82.02 ± 23.26 nmol/ml (male
and female, N = 7), compared to 90.36 ± 19.27 nmol/ml (male and female, N = 10) for
laboratory staff who did not have contact with sulcotrione.
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Herbicide Sulcotrione
3.3 The test of rats
exposed to sulcotrione for 28 days to determine the time and response relationship between
blood sulcotrione and tyrosine and main toxic response.
3.3.1 The general situation of experimental rats
During the experiment, the body weight, diet, hair, activity in each dose group showed no
significant difference from the control group.
3.3.2 The exposed rat liver, kidneys, adrenal glands and body weight ratio and
pathological observations.
3.3.2.1 The exposed rat liver, kidney and adrenal gland and body weight ratios.
sex
female
male
group
Liver/body
Kidneys/body
Adrenal
glands/body
control
2.98
0.69
0.03
Low-dose
2.97
0.68
0.03
Medium-dose
2.90
0.66
0.03
High-dose
2.98
0.67
0.03
control
3.14
0.70
0.01
Low dose
2.98
0.68
0.01
Medium dose
3.00
0.71
0.02
High dose
3.08
0.71
0.02
All have p>0.05 in the comparison with the control group.
Table 2-1. The exposed rat liver, kidney and adrenal gland and body weight ratios.
Table 2-1 indicates that in both male and female rats, the liver, kidneys and adrenal glands
and the body ratio are not significantly different than those of the controls.
3.3.2.2 Pathological observations on the liver, kidney and adrenal gland in each dose
group.
Although there were a few rats in each dose group that showed inflammatory lesions in the
liver and kidneys, there was no significant difference in comparison with the control group.
3.3.3 The serum tyrosine level changes in the male and female rats in each dose
group after different exposure times.
At different sulcotrione exposure times, the rat serum tyrosine levels in the medium- and
high-dose groups were significantly higher than those in the low-dose and control groups.
The serum tyrosine levels in the high-dose group were significantly higher than those in the
medium-dose group. The serum tyrosine concentrations[figure3-1] in the medium- and
high-dose groups increased with prolonged exposure before day 21 (the absorption phase).
Then they remained relatively stable (the stable phase). After day 28, when exposure ceased,
they began to decrease until day 42 (14 days of no exposure). However, they were still
higher than the levels of the control at day 42. There were no significant differences in serum
tyrosine levels between male and female rats.
536
Tyrosine(umol/L)
Herbicides, Theory and Applications
Control
1400
1200
1000
800
600
400
200
0
♀0
7
14 21
0.005mg/kg
0.05mg/kg
28 35 42
♂0 7
Time (days)
14
0.5mg/kg
21 28 35
42
Sulcotrione(mg/L)
Fig. 3-1. The serum tyrosine level changes in the male and female rats in each dose group
after different exposure times.
2.0
Control
0.005mg/kg
0.05mg/kg
0.5mg/kg
1.5
1.0
0.5
0.0
♀0
7
14 21 28 35 42
♂0
7
14 21 28 35 42
Time(days)
Fig. 3-2. The serum sulcotrione level changes in the male and female rats in each dose group
after different exposure times.
The serum sulcotrione in the low-dose group was similar to that in the control group. The
serum sulcotrione levels in the males and females were both below the detection limit. The
serum sulcotrione was detected in the medium- and high-dose groups, and its level
increased with increasing exposure over time and had a statistically significant difference
from control. The serum sulcotrione concentration in the medium- and high-dose groups
increased with prolonged exposure[figure3-2], but decreased significantly after no exposure.
There were no significant differences between male and female rats.
Although there existed individual statistical differences in blood glucose levels between the
dose groups and the controls, the values of the changes were all within the normal range
[figure3-3]. There were no significant differences in blood glucose changes between male
and female rats.
537
Glucose(mmol/L)
Herbicide Sulcotrione
8.0
Control
0.05mg/kg
0.005mg/kg
0.5mg/kg
6.0
4.0
2.0
0.0
♀0
14
28
42
♂0
14
28
42
Time(days)
Fig. 3-3. The blood glucose level changes in the male and female rats in each dose group
after different exposure times.
Tyrosine (umol/L)
3.3.4 The relationship between serum sulcotrione and tyrosine
The scatter plots show that between day 7 and 28 of exposure, the serum tyrosine levels
increased with the increasing serum sulcotrione in the medium- and high-dose groups. They
show a dose-response relationship. There was a positive correlation [figure3-4,figure35]between serum sulcotrione and tyrosine that was statistically significant (P<0.01). This
correlation is stronger in the female rats than in the males.
1600
1400
1200
1000
800
600
400
200
0
0.0
1.0
2.0
3.0
Sulcotrione (mg/L)
Fig. 3-4. The correlation between serum sulcotrione and tyrosine in female rats from the
medium- and high-dose groups.
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Herbicides, Theory and Applications
Tyrosine (umol/L)
1600
1400
1200
1000
800
600
400
200
0
0.0
0.5
1.0
1.5
2.0
Sulcotrione (mg/L)
2.5
Fig. 3-5. The correlation between serum sulcotrione and tyrosine in male rats from the
medium- and high-dose groups.
3.4. Effects of sulcotrione on hepatic enzymes involved in tyrosine catabolism,
tyrosinemia, and blood glucose in rat.
3.4.1 Physical observation and mass gain
No sign of toxicity was observed in sulcotrione-treated animals until end of experiment and
there were no changes in mass gain between controls and sulcotrione-treated animals (date
not shown).
3.4.2 Effects of sulcotrione on hepatic enzymes involved in tyrosine catabolism
The activities of the hepatic enzymes TAT, HPPD and HGO examined after 90 days were
shown at table 4-1. The activity of HPPD was dramatically reduced in liver cytosol by 90%,
92% and 95% at doses of 0.1, 0.5 and 5 mg/kg/day when compared with controls.
Significantly higher activity of hepatic TAT (43%, 50%, 94%), the rate limiting enzyme in
tyrosine catabolism, was evident in sulcotrione-treated rats at each dose as compared to
controls. In contrast, the activity of hepatic HGO at 5 mg/kg/day was significantly
decreased by 40% when compared to that of controls, and was not altered at 0.1 and 0.5
mg/kg/day.
3.4.3 Effects of sulcotrione on Serum epinephrine and tyrosine
Administration of sulcotrione to rats at each dose level for 90 days induced tyrosinemia
in rats. There were approximately 717%, 817%, and 930% increases in serum tyrosine levels
at 0.1, 0.5 and 5 mg/kg/day when compared to those of controls (Figure 4-2) and had no
effect on their serum epinephrine concentration when compared to the control group
(Figure 4-3).
539
Herbicide Sulcotrione
Enzyme activitya
Dose
Tyrosine aminotransferase (TAT)
(mg/kg)
(nmol 4-hydroxyphenylpyruvate
formed/min/mg protein)
0
0.1
0.5
5
a
b
4-Hydroxyphenylpyruvate
dioxygenase (HPPD)
Homogentisic acid
oxidase (HGO)
(µl O2 consumed/min/mg
protein)
(µl O2
consumed/min/mg
protein)
15.15 ± 1.22
1.55 ± 0 .07
1.14 ± 0.06
0.44b
0.02b
1.20 ± 0.05
0.96 ± 0.03
0.68 ± 0.05b
19.69 ±
24.53 ± 0.73b
30.49 ± 0.61b
0.16 ±
0.12 ± 0.05b
0.08 ± 0.03b
Values are mean ± SE with at least six animals at each dose level.
P < 0.001 compared to controls.
Tyrosione(nmol/ml)
Table 4-1. Effects of sulcotrione on hepatic enzymes involved in tyrosine catabolism
2000
***
1500
***
1000
***
500
0
0
0.1
0.5
5
Dose of sulcotrione(mg/kg/day)
Values are mean ± SE with at least six animals at each dose level, *** P < 0.001 compared to controls.
Fig. 4-2. Effects of sulcotrione on Serum tyrosine
epinephrine(ng/ml)
15
10
5
0
0
0.1
0.5
Dose of sulcotrione(mg/kg/day)
Values are mean ± SE with at least six animals at each dose level.
Fig. 4-3. Effects of sulcotrione on Serum epinephrine
5
540
Herbicides, Theory and Applications
3.4.4 Effects of sulcotrione on Fasting blood glucose and Oral glucose tolerance
Fasting blood glucose concentration and oral glucose tolerance concentration at each dose in
the time as shown at Figure 4-5, and there were not significantly different between controls
and sulcotrione-treated animals.
Fasting blood glucose
(mmol/ml)
12
control
0.5mg/kg/day
0.1mg/kg/day
5mg/kg/day
6
0
0
30
60
Time(day)
90
Values are mean ± SE with at least six animals at each dose level.
Blood glucose(mmol/L)
Fig. 4-4. Effects of sulcotrione on Fasting blood glucose
12
control
0.5mg/kg/day
0.1mg/kg/day
5mg/kg/day
8
4
0
0
30
60
Time(min)
Values are mean ± SE with at least six animals at each dose level.
Fig. 4-5. Effects of sulcotrione on Oral glucose tolerance
120
Herbicide Sulcotrione
541
3.4.5 Effects of sulcotrione on Serum tyrosine
Corneal lesions were observed in a few rats given sulcotrione at 5 mg/kg/day
administration of sulcotrione for 90 days. The sulcotrione-treated rats showed corneal
lesions that varied in severity from partial or hazy opacity to complete opacity, with edema
and neovascularization evident in the more extensive lesions [Fig.4-6].
Fig. 4-6. Digital and slit lamp microscope photographs of normal and diseased rat eyes (5
mg/kg/day) after oral administration of sulcotrione for 90 days. a and d normal control rat
cornea shows a uniformly bright surface and the pupil is clearly visible. b and e opacities
over nearly the entire corneal surface and with neovascularization. c and f opacity of the
corneal surface giving it a roughened appearance and edema of the stroma are maximal at
the center and less so.
4. Discussion
The half-life of soil sulcotrione is up to 122 days [11-14]. The factors that affect the
degradation of soil sulcotrione include soil pH, temperature, humidity and soil type.
Sulcotrione has a relative shorter residence time in alkaline soil due to the very weak
adsorption capacity of alkaline soil for sulcotrione [11]. The degradation rate is very slow in
soil with low pH. Red to yellow soil is the main soil type and soil source in Zhejiang
Province, located in the western Zhejiang Jinhua and Quzhou area. Cinnamonic soil is
mainly located in the northern Zhejiang Jiaxing area. Red to yellow soil belongs to acidic
soil, while cinnamonic soil belongs to neutral to slightly alkaline soil. Sulcotrione will be
542
Herbicides, Theory and Applications
degraded quickly in soil in which microorganisms grow well. In low temperature and high
humidity conditions, the soil adsorption of sulcotrione will increase and the degradation
will decrease [15]. The soil adsorption capacity is correlated with soil particle size and
organic matter content. Soil containing more organic content has greater herbicide
adsorption capacity. Wilson and Foy indicated that the adsorption of sulcotrione was
correlated with the organic content in the soil [16]. Sandy loam and clay has the strongest
adsorption capacity for sulcotrione, followed by sandy clay and sandy soil. After adsorption
by soil, sulcotrione is gradually released and does not disappear easily [17].
The sulcotrione soil residual level is affected by many factors. This investigation of the
current status of sulcotrione soil residual levels aims to provide basic data for use in
effective methods of mitigating the environmental damage caused by residual herbicide in
the soil during the wide used of the new herbicide.
HPPD is the target molecule of sulcotrione. Its activity can directly reflect the inhibition
strength of sulcotrione. At present, the enzymatic activity of HPPD is indirectly and
quantitatively measured by the tissue oxygen consumption method, which is somewhat
unstable. In this study, the detection of the serum tyrosine level can indirectly reflect the
inhibitive activity of sulcotrione on HPPD. Lock, et al. [9] reported that the rat serum
tyrosine concentration could be as much as 10 times the normal value after 24 hours when
rats were given the sulcotrione analogue 2-nitro-4-trifluoromethylbenzoyl)-1,3cyclohexanedione (NTBC) in a single dose of 0.5 mg/kg. It also caused cornea damage. In
this study, corneal opacity in individual rats was also found, which might be related to the
accumulation of excessive tyrosine in the anterior chamber of eye. There are three metabolic
pathways for tyrosine in mammals: 1) Tyrosine is transferred into 4-hydroxyphenylpyruvic
acid (HPPA), catabolized by tyrosine transaminase. It becomes homogentisate after
decarboxylation, which is then broken down into acetyl acetate coenzyme A and fumaric
acid for the TCA cycle. 2) Tyrosine, catabolized by tyrosine hydroxylase, is transferred into
3,4-dihydroxy phenylalanine (L-DOPA), which is then catabolized by DOPA decarboxylase
and converted into dopamine. Dopamine forms norepinephrine after hydroxylation of a
carbon atom by dopamine β hydroxylase. Finally, epinephrine is formed after methylation
of norepinephrine. 3) Tyrosine, catabolized by tyrosine hydroxylase, is transferred into LDOPA, which is then converted into dopaquinone by tyrosinase. The dopaquinone then
spontaneously forms melanin. HPPD can transform HPPA into homogentisate by adding
oxygen. The transformation from HPPA into homogentisate is inhibited by sulcotrione
because it represses the activity of HPPD. Thus, sulcotrione inhibits the first metabolic
pathway of tyrosine and induces the accumulation of serum tyrosine in the body, which
constitutes the toxicity pathway of sulcotrione. Within the dosages used in this study, the
tyrosine level is not high enough to affect blood glucose metabolism through the secondary
pathway; or perhaps, even if all tyrosine is metabolized through the secondary pathway, it
may still not be enough to affect glucose metabolism.
The results suggest that the metabolism of sulcotrione, although very fast, still has a
sustainable impact on tyrosine. With the decreasing sulcotrione burden in the body, the
repressed HPPD may be reactivated and the tyrosine metabolic pathway gradually becomes
normal. This hypothesis is consistent with the results reported by Ellis et al. [18], who found
that NTBC was a potentially reversible inhibitor of HPPD.
Herbicide Sulcotrione
543
5. References
[1] Shaoquan Su, HPPD - New Target for Herbicide Development[J]. PESTICIDES, 2000,
39(5): 4-7
[2] Sehng Guo, Fuming Yang, Lin Zhang, The synthesis of herbicide sulcotrione [J].
PESTICIDES, 2001, 40(7): 20-22
[3] Zhizhong Sun, Wenyi Chu, Yanjun Hou, HPLC determination of sulcotrione[J].
JOURNAL OF NATURAL SCIENCE OF HEILONGJIANG UNIVERSITY, 2004, 21:
108-109
[4] JIN F, wu NX. Determination of sulcotrione in serum by HPLC[J]. Occup Health, 2008,
24(9): 843—844.
[5] Tang AG. Rapid high performance liquid ehromatography for determination of
phenylalanine and tyrosine in serum[J]. Bull Hunan Med Univ, 2000, 25(2): 209—
212.
[6] Mo XM, Tang AG. Determination of phenylalanine and tyrosine in finger blood by highperformance liquid chromatography with ultraviolet detection[J]. Chin J Birth
Health Heredity, 2005, 13(3): 29—30.
[7] Zhang D, Chen H. RP—HPLC determination of glycyl-L-tyrosine and its related
substance[J]. Chin J Pharm Anal, 2006, 26(5): 664—666.
[8] Hall MG, Wilks MF, Provan WM, Eksborg S, Lumholtz B. Pharmaeokineties and
pharmacodynamics
of
NTBC(2-(2-nitro-4-fluoromethylbenzoy1)-1,3cyclohexanedione) and mesotrione, inhibitors of 4-hydroxyphenyl pyruvate
dioxygenase(HPPD)following a single dose to health male volunteers[J]. J Clin
Pharmacol, 2001, 52(2): 169—177.
[9] Lock EA, Gaskin P, Ellis MK, Provan WM, Robinson M, Smith LL, et a1. Tissue
distribution of 2-(2-nitro-4-trifluoromethylbenzoy1)cyclohexane-1-3-dione(NTBC):
effect on enzymes involved in tyrosine catabolism andrelevance to ocular toxicity
in the rat[J]. Toxieol Appl Pharmacol, 1996, 141(2): 439—447.
[10] Walker A, Brown PA. The relative persistence in soil of five acetanilide herbicides [J].
Bull Environ Contam Toxicol, 1985, 34: 143–149
[11] Allen R, Walker A. The influence of soil properties on the rates of degradation of
metamitron, metazachlor and metribuzin[J]. Pestic Sci, 1987, 18: 95–111
[12] Rouchaud J, Neus O, Callens D et al. soil persistence and mobility in summer maize and
winter wheat crops [J]. Weed Res, 1998, 38:361–371
[13] Baer U, Calvet R. Fate of soil applied herbicides: experimental data and prediction of
dissipation kinetics [J]. J Environ Qual, 1999, 28: 1765–1777
[14] Beulke S, Malkomes HP. Effects of the herbicides metazachlor and dinoterb on the soil
microflora and the degradation and sorption of metazachl or under different
environmental conditions[J]. Biol Fertil Soils, 2001, 33:467–471
[15] Laure Mamy, Enrique Barriuso, Benoıt Gabrielle. Environmental fate of herbicides
trifluralin, metazachlor, metamitron and sulcotrione compared with that of
glyphosate, a substitutebroad spectrum herbicide for different
glyphosateresistant crops [J]. Pest Manag Sci, 2005, 61: 905–916
[16] Wilson S, Foy C. Influence of various soil properties on the absorption anddesorption of
ICIA-0051 in five soils [J]. Weed Technol, 1992, 6: 583–586.
[17] Moshier LJ, Penner D. Factors influencing microbial degradation of 14C-glyphosate to
14CO2 in soil [J]. Weed Sci, 1978, 26: 686–691
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Herbicides, Theory and Applications
[18] Ellis MK, Whitfield AC, Gowans LA, Auton TR, Pmvan WM, et al. Inhibition of 4hydroxyphenylpyruvate
dioxygenase
by
2-(2-nitro-4trifluommethylbenzoy1)cyclohexanel, 3-dione and 2-(2-nitro-4一methanesulphonyl
benzoy1)-cy-elohexanel, 3-dione[J]. Toxicol appl Pharmacol, 1995, 133(1): 12一l9.
25
The Hemodynamic Effects of the Formulation of
Glyphosate-Surfactant Herbicides
Hsin-Ling Lee and How-Ran Guo
National Cheng Kung University
Taiwan
1. Introduction
1.1 Epidemiology of Glyphosate poisoning in Taiwan and other countries
Glyphosate ([N-(phosphonomethyl) glycine], CAS Number 1017-83-6) is the active
ingredient of Roundup®, a common nonselective weed control agent. A variety of
glyphosate-based formulations are registered in many countries under different brand
names. The glyphosate–surfactant herbicide (GlySH) is usually a formulated commercial
product containing glyphosate salts, such as isopropylamine, diammonium, potassium,
trimesium, or sesquisodium salt. A GlySH commonly used in Taiwan contains 41%
glyphosate as the isopropylamine salt (CAS Number 38641-94-0), water, and a variable
amount of surfactant. The main surfactant used in GlySH products worldwide is
polyoxyethyleneamine (CAS Number 61791-26-2). GlySH, an alternative to paraquat, has
been used in suicide attempts in Taiwan and many countries in the Asia-Pacific region
(Sawada et al., 1988; Menkes et al., 1991; Tominack et al., 1991; Talbot et al., 1991; Hung et
al., 1997; Lee et al., 2000; Stella and Ryan, 2004; van der and Konradsen, 2006; Lee et al.,
2008; Roberts et al., 2010). The case fatality rates were around 1.9 to 16 % (Sawada et al.,
1988; Tominack et al., 1991; Talbot et al., 1991; Hung et al., 1997; Lee, et al., 2000; Suh et al.,
2007), and a large study by the Poison Control Center (PCC) of Taiwan, which included 2186
cases of GlySH poisoning from 1986-2007, reported a case fatality rate of 7.2% (Chen et al.,
2009). However, a much higher fatality rate up to 29.3% has been found in a recent study
(Lee et al., 2008). Obviously, it continues to be a public health problem that calls for
concerns.
1.2 Metabolism of glyphosate
Glyphosate is a nonselective herbicide that inhibits plant growth through interference with
the production of essential aromatic amino acids by inhibition of the enzyme
enolpyruvylshikimate phosphate synthase, which is responsible for the biosynthesis of
chorismate, an intermediate in phenylalanine, tyrosine, and tryptophan biosynthesis
(Williams et al., 2000). The absence of this biosynthetic pathway in mammals may explain
the relatively low systemic toxicity of glyphosate (oral median lethal dose [LD50] for rats
4,320 mg/kg, rabbits 3,800 mg/kg) (Smith and Oehme, 1992). In the terrestrial environment,
glyphosate is mainly biodegraded to aminomethylphosphonic acid (AMPA) when
metabolized by bacterial in soils (Rueppel et al., 1977). According to the animal study in
Sprague-Dawley rats, approximately 35-40% of the administered dose was absorbed from
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Herbicides, Theory and Applications
the gastrointestinal tract, and urine and feces were equally important routes of elimination
after one oral dose (10 mg/kg) (Brewster et al., 1991). The animal study indicated that
virtually no toxic metabolites of glyphosate were produced when it was administrated
orally and that there was little evidence of metabolism (Müller et al., 1981). Essentially 100%
of the body burden was the parent compound (Müller et al., 1981).
1.3 Systemic toxic syndrome of GlySH poisoning
Although GlySH is considered to be only slightly toxic to rats, ingestion of a substantial
volume of GlySH has been reported to be associated with toxic effects, including
gastrointestinal injury, laryngeal injury, pulmonary toxicity, impaired renal and liver
functions, leukocytosis, impaired neurological function, dermatitis, metabolic acidosis,
arrhythmias, myocardial depression, shock, and even death in humans (Sawada et al., 1988;
Talbot et al., 1991; Tominack et al., 1991; Hung et al., 1997; Lin et al., 1999; Lee et al., 2000;
Lee et al., 2008; Roberts et al., 2010). Although symptoms and signs of various organ systems
could be seen clinically, the definite mechanism of systemic toxic syndrome in acute GlySH
poisoning is still unclear. Aspiration pneumonitis and upper respiratory tract irritation are
commonly reported findings (Tominack et al., 1991; Talbot et al., 1991; Hung et al., 1997).
Hung et al. (1997) strongly suspected that severe laryngeal injury is the primary mechanism
of respiratory aspiration and the leading cause of morbidity and mortality following GlySH
intoxication. Previous animal studies in rats showed that intratracheal administration of
GlySH produced more severe lung damages than oral administration (Martinez and Brown,
1991; Adam et al., 1997). They implied that at least some of the clinical manifestations are
related to an aspiration complication. However, pulmonary hemorrhage and other systemic
insults could also be seen in animals with oral administration of various components of
GlySH (Martinez et al., 1990). Other mechanisms should be considered in explaining the
impacts of GlySH on pulmonary and other systems.
1.4 The toxic mechanism of glyphosate and GlySH on mitochondria
Uncoupling of mitochondrial oxidative phosphorylation on rat liver mitochondria has been
proposed as a lesion in glyphosate poisoning (Bababunmi et al., 1979; Olorunsogo et al.,
1979a). These animal studies showed that the respiratory control ratios of liver mitochondria
and state 3 respiration were significantly reduced. Enzyme inhibition of the Kreb’s cycle and
the uncoupling effect were also shown in the study of plant’s mitochondria (Olorunsogo et
al., 1979b; Olorunsogo et al., 1980). A study also showed that glyphosate enhanced
mitochondrial ATPase with dose-dependent response (Olorunsogo et al., 1979b). The
evidences suggested that glyphosate is an uncoupler of electron transport chain. In the
study by Olorunsogo (1990), glyphosate significantly increased the permeability of the
mitochondrial membrane to protons and to Ca2+ in liver mitochondria, and the author
suggested that glyphosate may be able to act both as a chelator and a mild protonophore.
The author also found that glyphosate had an inhibitive effect on energy-dependent
transhydrogenase reaction in isolated rat liver mitochondria (Olorunsogo, 1982). In rats
given glyphosate intragastrically for 2 weeks, glyphosate decreased the hepatic level of
cytochrome P450 and monooxygenase activities, as well as the intestinal activity of aryl
hydrocarbon hydroxylase (Hietanen et al., 1983). Even though most of the above studies
claimed that glyphosate was tested, but actually used the isopropylamine salt of glyphosate
(IPAG) (Bababunmi et al., 1979; Olorunsogo et al., 1979b; Olorunsogo, 1982; Hietanen et al.,
The Hemodynamic Effects of the Formulation of Glyphosate-Surfactant Herbicides
547
1983), those studies still implied that mitochondria may be a critical target in the toxic
mechanisms of GlySH. However, the clinical significance of the relationship between these
biochemical abnormalities and the systemic toxic syndrome is unclear. Further investigation
should be conducted to clarify the possible toxic mechanisms in animal and human GlySH
intoxication.
2. Studies for GlySH poisoning
It is within the context of the above background information that the two studies were
undertaken. We first conducted a retrospective case-control study in a medical center to
identify predictors of GlySH poisoning related fatality. On the basis of our data, among the
clinical symptoms that GlySH intoxicated patients may present, the toxic symptoms on the
cardiovascular system interested us. We then established an animal model to study the
cardiovascular effects induced by each component of GlySH formulation, clarifying which
one is responsible for the toxic symptoms.
3. Clinical outcomes and predictors of GlySH poisoning related fatality
In this section, we describe a retrospective case-control study accessing clinical outcomes
and identifying the predictors of GlySH poisoning related fatality.
3.1 Study design
This was a retrospective study of patients with GlySH poisoning presenting to the
emergency department (ED) of a referral center in a large agricultural area with
approximately 2 million residents in southern Taiwan over a seven-year period. The ED’s
annual patient visits census is about 51,000. All the medical records of patients with GlySH
poisoning following oral ingestion who presented to the ED of the referral center from June
1988 to December 1995 were reviewed.
3.2 Study protocol
We collected data on the date of admission, age, sex, estimated amount of GlySH ingested,
co-ingestants of other agrochemicals, ethanol, or pharmaceuticals, suicide attempts, out-of
hospital interval, initial clinical presentation, initial laboratory data in the ED, and clinical
course. Laboratory variables that were reviewed included arterial blood gas (ABG), blood
urea nitrogen (BUN), creatinine, alanine aminotransferase (ALT), aspartate
aminotransferase (AST), bilirubin, sodium, potassium, calcium, phosphate, white blood cell
(WBC) count, hematocrit, platelet, urine analysis, chest x-ray (CXR), and electrocardiogram
(ECG). Only the laboratory studies done immediately upon the patients’ arrival were taken
into consideration. There were some patients who had received first aid and were then
transferred from other EDs. For these patients, we used the primary data from those EDs.
For clinical and statistical consideration, patients whose serum pH values < 7.35 on the ABG
were considered to be ‘‘acidotic.’’ Of note, the clinical practice at this hospital was to
routinely obtain toxicological screens of other pesticides, such as paraquat and
organophosphates, and screens of benzodiazepines.
We also performed specific tests according to the history offered by patients themselves,
friends, or family members. The amount ingested was usually given in descriptive terms
such as ‘‘a mouthful,’’ ‘‘a small cup,’’ or ‘‘half a bottle.’’ For statistical purposes, we assigned
548
Herbicides, Theory and Applications
a volumetric value to each description: 5 mL for “a little” or “a spoon,” 25 mL for “a
mouthful,” and 100 mL for “a small cup.” If the patient said “a bottle,” the size was
identified as being 150 mL, 300 mL, 500 mL, or 1 liter, according to the brand, empty bottles
carried by family members or friends, or the description by family members or friends.
3.3 Data analysis
All analysis was performed using SPSS statistical software Version 6.03 (SPSS Inc., Chicago,
IL). For univariate analysis, we used the Student t and Wilcoxon tests for continuous
variables and the chi-square and Fisher’s exact tests for categorical variables. We also
calculated the odds ratio (OR) and associated 95% confidence interval (C.I.) for each
variable. A p-value of less than 0.05 was considered statistically significant. Variables with
ORs more than 5 were considered to be major prognostic predictors. All major prognostic
variables were further evaluated by multiple logistic regression analyses with the stepwise
approach. A patient’s probability of survival (Ps) could then predicted using the logistic
regression model Ps = 1/(1 + e-b ) where b = b0 + b1 × risk factor I + b2 × risk factor II + b3 ×
risk factor III … + bN × risk factor N.
3.4 Results
From June 1988 to December 1995, 131 patients presented to the hospital with GlySH
ingestion, including 69 men and 62 women. There were 11 fatalities, yielding a fatality rate
of 8.4%. The most common presentations included sore throat, nausea (with or without
vomiting), and fever (Table 1).
Table 2 shows the initial laboratory data of patients. The most common laboratory
abnormalities included leukocytosis (WBC count > 104/uL; 85/125, 68%), lowered
bicarbonate (HCO-3 < 22 mEq/L; 39/81, 48.1%), acidosis (serum pH < 7.35, 29/81, 35.8%),
elevated AST (> 40 U/L; 32/108, 33.6%), hypoxemia (PO2 < 60 torr while breathing room
air; 23/81, 28.4%), and elevated BUN (> 21 mg/dL; 21/123, 17.1%).
Of the 81 patients who had 12-lead electrocardiograms, 15 showed abnormal findings. The
most frequent abnormalities were sinus tachycardia and nonspecific ST-T changes. Of 29 the
patients who had serum pH < 7.35, 13 had metabolic acidosis, 1 had respiratory acidosis,
and 15 had mixed-type acidosis. Of the 105 patients who had CXR, 22 revealed abnormal
infiltrates or patches. Three patients had renal failure that necessitated hemodialysis, and all
resulted in fatalities. Seven patients had co-ingestants, including sedative drugs (2),
hypnotics (3), wine (3), and paraquat (1). The average survival time of the fatality cases was
2.8 ± 0.8 days.
Comparisons of clinical variables and laboratory data on arrival between survivors and
fatalities are presented in Tables 1 and 2. The mean ± standard errors of the means (SEM)
age of the survivors was 47 ± 2 years, while that of the fatalities was 60 ± 4 years (p = 0.02).
No difference was found in the distributions of genders. The estimated amount of GlySH
ingested averaged 122 ± 12 mL among the survivors and 330 ± 42 mL among the fatalities (p
< 0.001). The mean out-of-hospital time among the survivors was longer than that in
fatalities (Table 1), but the difference was not statistically significant.
Of the 17 variables identified as major prognostic predictors (Table 3), respiratory distress
necessitating intubation, respiratory distress, renal dysfunction necessitating hemodialysis,
abnormal CXR, shock, larger amount of ingestion (> 200 mL), altered consciousness,
hyperkalemia, and pulmonary edema were associated with the largest ORs. Only the cases
549
The Hemodynamic Effects of the Formulation of Glyphosate-Surfactant Herbicides
Survivors
(n=120) (%)
Fatalities
(n=11) (%)
Total
(n=131) (%)
pb
Age (year)a
47 ± 2
Gender (male/female)
62 / 58
60 ± 4
48 ± 2
0.02*
7/4
69 / 62
0.47
Out-of-hospital interval (hr)a
4.0 ± 0.5
2.2 ± 0.4
3.8 ± 0.4
0.57
Estimated Ingested Amount
(mL)a
122 ± 12
330 ± 42
138 ± 12
< 0.001*
Fever
48/120 (40.0)
6/11 (54.5)
54/131 (41.2)
0.36
Nausea and/or vomiting
88/118 (74.6)
5/8 (62.5)
93/126 (73.8)
0.43
Sore throat
96/118 (81.4)
5/9 (55.6)
101/127 (79.5)
0.08
Diarrhea
25/120 (21.0)
1/10 (9.1)
26/131 (19.1)
0.69
Respiratory distress
19/120 (15.8)
11/11 (100.0)
30/131 (22.9)
< 0.001*
Altered consciousness
19/120 (15.8)
10/11 (90.9)
29/131 (21.3)
< 0.001*
Respiratory distress
necessitating intubation
7/120 (5.8)
11/11 (100.0)
18/131 (13.7)
< 0.001*
Pulmonary edema
2/119 (4.2)
4/11 (36.4)
6/130 (4.6)
< 0.001*
Abnormal CXR
15/98 (15.3)
7/7 (100)
22/105 (21.0)
< 0.001*
Shock
5/119 (4.2)
8/11 (72.7)
13/130 (10.0)
< 0.001*
Dysrrhythmia
9/71 (12.7)
6/10 (75.0)
15/81 (18.5)
< 0.001*
Renal dysfunction
necessitating hemodialysis
0/120 (0.0)
3/11 (27.0)
3/131 (27.0)
< 0.001*
116/131 (88.5)
0.36
Variable
Suicide attempt
105/120 (17.5) 11/11 (100.0)
Data are expressed as mean ± standard errors of the means.
P values are for comparisons between survivors and fatalities.
*p < 0.05 is significant.
Data from Lee et al, 2000.
a
b
Table 1. Clinical variables on arrival at the emergency department among patients.
with complete data were used for the multiple logistic regression analysis, and we identified
three significant independent predictors of survival, which could be applied to construct a
logistic regression model as follows:
Ps = 1/(1+ e-b)
(1)
b= -216.93 - 5.10 × [acute pulmonary edema] - 1.80 × [K] + 31.26 ×[pH]
(2)
Using Ps = 0.25 as the cutoff for predicting fatalities, we obtained a sensitivity of 100% and a
specificity of 95.7%. Because pulmonary edema is a binary response, the above formula can
be simplified as the following:
1. When pulmonary edema is absent, 31.26 × [pH] - 1.80 × [K] < 215.83 predicts fatality.
2. When pulmonary edema is present, 31.26 × [pH] - 1.80 × [K] < 220.93 predicts fatality.
550
Herbicides, Theory and Applications
Survivors
(n=120)
Fatalities
(n=11)
p
WBC (10 /uL)
13.4 ± 0.5
18.5 ± 2.5
< 0.01*
Hematocrit (%)
42.0 ± 0.5
45.3 ± 1.5
0.07
265 ± 9
239 ± 30
0.39
Variables
Complete blood count
4
Platelet count
(103/cmm3)
Biochemical data
Urea nitrogen (mg/dL)
Creatinine (mg/dL)
16 ± 1
19 ± 3
0.26
1.0 ± 0.1
1.4 ± 0.2
< 0.01*
Sodium (mmol/L)
141 ± 1
141 ± 2
0.87
Potassium (mmol/L)
3.8 ± 0.1
4.7 ± 0.4
0.06
Chloride (mmol/L)
105 ± 1
103 ± 4
0.74
Total calcium (mg/dL)
9.1 ± 0.1
9.0 ± 0.2
0.79
Phosphate (mg/dL)
3.4 ± 0.1
3.9 ± 0.9
0.56
Total bilirubin (mg/dL)
1.0 ± 0.1
1.2 ± 0.4
0.99
ALT (U/L)
35 ± 3
64 ± 21
0.20
AST (U/L)
37 ± 3
110 ± 44
0.13
pH
7.39 ± 0.01
7.17 ± 0.05
< 0.001*
PO2 (mmHg)
75.3 ± 2.6
48.2 ± 7.2
< 0.001*
PCO2 (mmHg)
36.8 ± 0.8
41.8 ± 4.5
0.65
22 ± 1
15 ± 2
< 0.001*
Arterial blood gases
HCO3- (mEq/L)
Data are expressed as means ± SEM, and *p < 0.05 is significant. WBC = white blood cell; ALT = alanine
aminotransferase, AST = aspartate aminotransferase.
Data from Lee et al, 2000.
Table 2. Initial laboratory data of the patients.
3.5 Conclusion and discussion
3.5.1 Clinical presentations of GlySH poisoning
Clinical presentations of GlySH poisoning varied across studies (Sawada and Nagai, 1987;
Kawamura et al., 1987; Sawada et al.,, 1988; Talbot et al., 1991; Tominack et al., 1991; Menkes
et al. 1991). An analysis of three retrospective reviews of 246 cases (Sawada et al., 1988;
Talbot et al., 1991; Tominack et al., 1991) revealed that patients most frequently presented
with nausea and/or vomiting (40%), abdominal pain, and diarrhea (12%) initially, followed
by sore throat (41–43%), fever (7%), gastrointestinal mucosal damage (7–43%), transient
renal (10–14%) and hepatic (19–40%) dysfunction, metabolic acidosis, pulmonary edema (5–
13%), shock (9%), and death (10.5–16.7%). In our study, nausea with or without vomiting
(73.8%), sore throat (79.5%), and fever (41.2%) were the most common initial manifestations.
We found leukocytosis (68.0%), low bicarbonate (48.1%), acidosis (35.8%), hepatic
551
The Hemodynamic Effects of the Formulation of Glyphosate-Surfactant Herbicides
Fatalities
(n = 11)
Survivors
(n = 120)
Total
(n = 131)
Odds Ratio
(95% C.I.)
Respiratory distress necessitating
intubation
11/11
7/120
18/131
(13.7%)
348.1
(98.8- ∞ )*
Respiratory distress
11/11
19/120
30/131
(22.9%)
119.7 (29.6484.6)*
Renal failure necessitating
hemodialysis
3/11
0/120
3/131
(2.3%)
99.2 (26.4372.4)*
Abnormal CXR
7/7
15/98
22/105
(21.0%)
80.8 (18.2359.0)*
Shock (SBP < 90 mmHg)
8/11
5/119
13/130
(10.0%)
60.8 (10.1435.8)†
Larger amount of ingestion (> 200
ml)
9/10
17/101
26/128
(20.3%)
53.5 (13.6210.9)†
Altered consciousness
10/11
19/120
29/131
(22.1%)
53.2 (13.6207.5)*
Hyperkalemia ([K] > 5.5 mmol/L)
4/10
2/118
6/128
(4.7%)
38.7 (4.6398.6)†
Pulmonary edema
4/11
2/119
6/130
(4.6%)
33.4 (4.1330.7)†
Elevated creatinine (> 1.5 mg/dL)
4/11
4/116
8/127
(6.3%)
16.0 (2.6103.3)†
Lowered bicarbonate (HCO3– < 22
meq/L)
10/11
29/70
39/81
(48.1%)
14.1 (1.7311.2)†
Acidosis (pH < 7.35)
9/11
20/70
29/81
(35.8%)
11.3 (1.9883.3)†
Dysrrhythmia
6/10
9/71
15/81
(18.5%)
10.3 (2.0-56.5)†
Hyperphosphatemia ([P] > 5.0
mg/dL)
2/10
3/95
5/105
(4.8%)
7.7 (6.8-71.4)†
Elevated AST (> 40 U/L)
8/11
32/108
40/119
(33.6%)
6.3 (1.4-32.5)†
Hypoxemia (PO2 < 60 mmHg)
7/11
16/70
23/81
(28.4%)
5.9 (1.3-28.2)†
Leukocytosis (WBC > 104/uL)
10/11
75/114
85/125
(68%)
5.2 (0.6-112.5)†
Predictors
*Test-based 95% confidence interval for odds ratios.
†Cornfield’s 95% confidence interval for odds ratios.
Data from Lee et al, 2000.
Table 3. Major predictors associated with poor patient outcome (odds ratio > 5).
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Herbicides, Theory and Applications
dysfunction (33.6%), hypercapnea (30.9%), hypoxemia (28.4%), and renal insufficiency
(17.1%) were the most common laboratory abnormalities. These findings were similar to
previous reports of severe intoxications, except that our patients showed a higher
prevalence of sore throat, nausea and/or vomiting, fever, acidosis, and diarrhea.
In this study, shock (8/11, 72.7%), respiratory distress necessitating intubation (11/11,
100%), pulmonary edema (4/11, 36.4 %), dysrrhythmia (6/10, 75%), altered consciousness
(10/11, 90.9%), and renal dysfunction necessitating hemodialysis (3/11, 27.0%) were major
predictors of fatality. Recent studies involving larger numbers of cases also showed that
shock, respiratory failure, altered consciousness, and oligouria were more common in the
fatal GlySH exposures (Roberts et al., 2010; Chen et al., 2009).
3.5.2 Predictors of GlySH poisoning
In this study, we identified acute pulmonary edema, hyperkalemia, and acidosis as major
predictors of poor outcome, which are compatible with most of glyphosate studies in
Taiwan. The risk factors of fatality or severity of GlySH exposure have been studied and
discussed over the years, including the amount of exposure, hypovolemic shock, intractable
shock, Acute Physiology and Chronic Health Evaluation II score, age, male gender,
laryngeal injury with aspiration, abnormal chest X-ray, calendar time, reason for exposure,
atropine therapy, elapsed time, delayed presentation, number of involved organs, metabolic
acidosis, tachycardia, elevated serum creatinine, and high plasma glyphosate concentrations
on admission (> 734 ug/mL) (Sawada et al., 1988; Tominack et al., 1991; Talbot et al., 1991;
Hung et al., 1997; Lee et al., 2000; Lee et al., 2008; Chen et al., 2009; Roberts et al., 2010).
Prognostic predictors can help emergency staff in identifying patients who are expected to
deteriorate or die. We recommend that all the patients who are reported to have ingested
large amounts of GlySH be carefully observed, especially for those who present with severe
respiratory distress, unstable hemodynamics, requiring hemodialysis, pulmonary edema,
and old age. The risk of immediate death is much less likely if the patient has no such risk
factors on presentation.
4. Cardiovascular toxicity of GlySH poisoning
4.1 Presentation of cardiovascular toxicity in GlySH poisoning
Cardiovascular involvement in GlySH intoxicated patients may include ECG abnormalities
such as sinus tachycardia, sinus bradycardia, first degree AV block, as well as shock
(Sawada et al., 1988; Talbot et al., 1991; Tominack et al., 1991). Shock is one of poor
prognostic signs in severely intoxicated patients (Tominack et al., 1991; Sawada et al., 1988).
Sawada and Nagai (1987) reported that shock might be due to intravascular hypovolemia,
which responds to fluid resuscitation and vasopressor agents. However, the study by Talbot
et al. (1991) did not support the hypovolemic shock because they found shock developed
after rehydration. Lin et al. (1999) reported one patient who presented with cardiogenic
shock with left-ventricular hypokinesis after drinking about 150 mL of GlySH. Ventricular
tachycardia was observed during resuscitation, and the blood pressure responded to neither
vasopressor agents nor fluid resuscitation. The patient gradually recovered in the following
16 h, with the restoration of his left-ventricular function. In a beagle dog study, cardiac
depression was observed by Roundup and surfactant injection (Tai et al., 1990). These data
suggest that the suppression of the cardiac conduction system and contractility, rather than
intravascular hypovolemia, plays an important role in the shock induced by acute GlySH
The Hemodynamic Effects of the Formulation of Glyphosate-Surfactant Herbicides
553
poisoning in humans. However, the detailed mechanism of this cardiac involvement has not
been demonstrated, not to mention the components responsible for these symptoms.
4.2 The hemodynamic effects of the formulation of GlySH
Because the acid form of glyphosate has low solubility in water (~12 g/L), commercial
compositions of glyphosate generally contain glyphosate salts such as isopropylamine (IPA)
(CAS Number 75-31-0), diammonium, potassium, trimesium, or sesquisodium salt, in which
the acidic glyphosate is neutralized with a base to form the salt and becomes more watersoluble than the glyphosate acid. IPA is a colorless, flammable liquid with a tangy,
ammonia-like odor (NFPA, 1997) and is usually used in the synthesis of dyes,
pharmaceuticals, insecticides, rubber chemicals, textile-processing agents and other surface
active agents (Harbison, 1998). Its oral LD50 for rats is 820 mg/kg (Bingham E et al., 2001). In
a study of mongrel dogs, an IPA injection showed positive dose-dependent inotropic and
chronotropic responses, with increasing myocardial contraction, arterial pressure, and pulse
pressure, as well as significantly reduced vascular resistance in the hind leg (Ishizaki et al.,
1974). Another study showed that infusion of IPA (2.5 mg/kg per min) produced an initial
increase in arterial pressure and heart rate (HR), followed by prolonged hypotension and
bradycardia, but lower doses produced only a hypotensive response (Privitera et al., 1982).
The surfactants commonly used in herbicide products serve several purposes, including
acting as wetting agents, promoting uniform spread of the herbicide on the leaf surface, and
assisting the penetration of glyphosate into the leaf (Bradberry et al., 2004).
Polyoxyethyleneamine (POEA) is the surfactant commonly used in GlySH and has an oral
LD50 of about 1200 mg/kg in rats (Williams et al., 2000), which is considerably more toxic
than that of glyphosate itself (EPA, 1993). In human and animal studies, this nonionic
polyoxyethylene alkyl group of surfactants is usually considered to be mainly or partly
responsible for the toxic effects of various pesticides, inducing gastrointestinal tract,
pulmonary, and depressive cardiac effects (Tai et al., 1990; Martinez and Brown, 1991;
Koyama et al., 1994; Sawada et al., 1988; Adam et al., 1997). The clinical effects of other
components used in GlySH, such as IPA or IPAG have rarely been studied and reported.
Therefore, a study was conducted to characterize the major components leading to the
cardiovascular failure in cases with GlySH poisoning.
5. The comparative effects of the formulation of GlySH on hemodynamics
In this section, we describe an animal experiment used for exploring the hemodynamic
effects induced by the infusion of different components of GlySH formulation.
5.1 Animal model
We used male Landrace piglets (aged 6–8 weeks, body weight 8–15 kg) as the model for the
study. The piglets were fasted for one day before surgery. Each piglet was initially sedated
with an intramuscular injection of ketamine (20–30 mg/kg; Ketalar® 50 mg/mL, UBI Asia,
Hsinchu, Taiwan) and atropine (0.05 mg/kg) and then placed in a supine position on a
thermally controlled blanket on an operating table. A percutaneous venous cannula (24G)
was placed into the piglet’s marginal vein of the pinna, followed by an induction dose of
propofol (0.5 mL/kg of 10 mg/mL; Propoful 1%, Fresenius Kabi, Austria) and pancuronium
bromide (0.1 mg/kg; Pavulon® 4 mg/2 mL, Organon International, Oss, Netherlands). The
554
Herbicides, Theory and Applications
piglet was then intubated with an appropriately sized endotracheal tube (4.5–5.0;
Mallinckrodt® endotracheal tubes, Nellcor, Boulder, CO). Mechanical ventilation was
initiated with an infant ventilator (North American Drager Narcomed 2A; DRE Inc.,
Louisville, KY) with oxygen gas (50% FiO2) at a peak inspiratory pressure of 15 cmH2O,
inspiratory time of 0.75 s, a positive-end-expiratory-pressure of 5 cmH2O, and a respiratory
rate of 12 breaths per min. We measured the ABG intermittently and adjusted the peak
pressure to maintain normocapnia (PaCO2 35–45 mmHg) during the baseline period. Endtidal CO2 from the endotracheal humidity cuff was continuously monitored. Following
intubation, the piglet was regularly paralyzed with intravenous pancuronium (100 μg/kg),
and anesthesia was maintained with 2%–3% isoflurane (250 mL; Forane, Abbott
Laboratories Ltd., Queenborough, Kent, UK). (Figure 1)
Fig. 1. Anesthesia and ventilator setting for experimental animals.
5.2 Monitoring physiological variables
We indwelled a rectal temperature probe for body temperature measurements and
maintained the rectal temperature at 39.5–40.0 °C till the piglet was extubated. The left
external jugular vein was aseptically exposed and cannulated with a 7F single-lumen central
venous catheter (Arrow International Inc.) for chemical infusions. Normal saline with 5%
glucose was given intravenously via the line in the piglet’s marginal vein of the pinna by
dripping at an hourly rate of 5 mL/kg. The right common femoral artery was exposed and
cannulated with a 7F two-lumen central venous catheter (Arrow International, Inc.), and the
catheter tip was advanced to lie in the proximal abdominal aorta for blood pressure
measurements and blood sampling. We used a multiparameter physiological monitor
(Hewlett Packard, 78399A) to monitor blood pressure, heart beats, and electrocardiography
continuously. In addition, we inserted a 7.5F Swan–Ganz continuous cardiac output, mixed
venous oxygen saturation monitoring (CCO/SvO2) catheter (Edwards Lifesciences, 744H)
via the right common femoral vein into the pulmonary artery and used a Vigilance monitor
(Edwards Lifesciences) to monitor the pulmonary artery pressure (PAP), pulmonary
capillary wedge pressure (PCWP), and central venous pressure (CVP) (Figure 2). The
cardiac output (CO) was continuously measured using the thermodilution principle. The
body surface area, cardiac index (CI), systemic vascular resistance index (SVRI), pulmonary
vascular resistance index (PVRI), left-ventricular stroke work index (LVSWI), and rightventricular stroke work index (RVSWI) were calculated for comparison.
The Hemodynamic Effects of the Formulation of Glyphosate-Surfactant Herbicides
555
Fig. 2. Implantation of Swan–Ganz catheters during experiment.
5.3 Protocol for chemical infusion and data collection
After a stabilization period of approximately 20 min, we sampled blood for ABG, complete
blood cell counts (CBC), and biochemistry, and recorded the mean arterial blood pressure
(MABP), HR, CVP, MPAP, PCWP, and CO as baseline values. We separated piglets into five
experimental groups: (1) control, receiving normal saline (NS), (2) G, receiving glyphosate
([N-(phosphonomethyl) glycine], Sigma-Aldrich, St. Louis, USA) 360 mg/mL in sodium
hydroxide (NaOH) (~2.13 M, ~pH 5.7), (3) IPA, receiving IPA (CAS Number 75-31-0, Merck
Schuchardt OHG, Hohenbrunn, Germany) 126 mg/mL in water (~2.13 M, ~pH 12.9), (4)
IPAG group, receiving N-(phosphonomethyl) glycine, monoisopropylamine salt solution
(Sigma-Aldrich) , 40 wt% (~2.13 M, ~pH 5.0), and (5) POEA group, receiving alkoxylated
fatty amine (Kudos SL-101C, CAS Number 61791-26-2, Zhang Jia Gang Kudos Chemical Co.
Ltd.) 15% in water, final ~pH 11.6. The concentration chosen for G, IPA, IPAG, and POEA
were based on 40 wt % IPAG solution and 15% POEA.
In our preliminary study, we performed cardiographic examinations on piglets receiving
different rates of IPAG infusions. We found that an infusion rate of 10 mL/h IPAG (~2.13
M) could result in slow reduction in blood pressure, and sudden death with ventricular
arrhythmia or reversible depression of left-ventricular function may occur after
discontinuing infusion right after the MABP decreased to 50% of the initial value. At an
infusion rate higher than 10 mL/h, most piglets died soon after the IPAG infusion. For other
chemicals, no obvious reduction in MABP values was noted within one hour of infusion at
the rate of 10 ml/h. Therefore, we infused IPAG at 10 ml/hr and selected a 50% reduction in
the MABP of the initial value (50% MABP) as the endpoint. The surviving piglets were then
observed for up to 2 h from the beginning of the IPAG infusion. The NS, G, IPA, and POEA
were infused at a rate of 10 mL/h for 1 h and then for another hour of observation.
Temperature, HR, MABP, MPAP, CVP, PCWP, and CO values were recorded every 5 min.
After the two hours of the experiments, the daily activities and urine amounts in the
surviving piglets were observed and recorded for two days. Blood was sampled for ABG,
CBC, biochemistry and serum glyphosate during the experiment and at 24 and 48 h after the
chemical infusion began.
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Herbicides, Theory and Applications
5.4 Serum levels of glyphosate analyzed by high-performance liquid chromatography
(HPLC)
To explore the concentration change of glyphosate during infusion, serum concentrations of
glyphosate were analyzed in the G and IPAG groups. We adopted HPLC method to
measure serum levels of glyphosate, using a PerkinElmer LC 295 with a variable
wavelength ultraviolet detector operated at a wavelength of 195 nm, and an anion-exchange
column (4.6 mm × 250 mm, Partisil 10 μM SAX). Blood samples were centrifuged and the
supernatants were then diluted and filtered through 0.2 μm nylon membranes before the
analysis. The samples were dissolved in a mobile phase consisting of 0.05 M potassium
dihydrogen phosphate (KH2PO4) in 60:40 KH2PO4: water, adjusted to pH 1.9 with
phosphoric acid (H3PO4). The flow rate of the mobile phase was 1.0 ml/min. A sample of 20
μL was used for each injection. The detection limit is 1 ppm and the coefficient of variation
was < 10%.
5.5 Statistical analysis
All numerical values are presented as means ± SEM. We used the general linear model
(GLM) for repeated measures in comparing hemodynamic data, paired t test in comparing
ABG data, and analysis of variance in comparing other data. One-compartment model
intravenous infusion equations (Brewster et al., 1991; Bauer LA, 2006) were used for
calculating the elimination rate constant (Ke), the half-life (t1/2), and the volume distribution
(V), which are:
t1 =
2
Ke = −
V=
0.693
Ke
(1)
ln C 1 − ln C 2
t1 − t 2
(2)
′
K 0 (1 − e −K e t )
′
K e [C max − (C predose e −K e t )]
(3)
Where t1 /C1 is the first time/concentration pair, t2/C2 is the second time/concentration pair,
K0 is the infusion rate, t′ = infusion time, Cmax is the maximum concentration at the end of
infusion, and Cpredose is the predose concentration. All statistical tests were performed at the
two-tailed significance level of 0.05.
5.6 Results
Table 4 shows the average infused dose of IPAG, G, IPA, and POEA in each group was
159.80 ± 15.79 mg/kg (piglet weight), 238.47 ± 17.49 mg/kg, 75.24 ± 4.51 mg/kg, and 0.0944
± 0.00546 ml/kg. Both POEA and IPAG finally caused a fatality rate of 66.7% (4/6).
At the beginning of the experiment, we compared the MABP among all the groups. IPAG
infusion reduced MABP from 89.17 ± 4.10 to 47.50 ± 6.02 mmHg, which reached 50% MABP
at around 30.50 ± 1.67 min after the infusion began, and 50% (3/6) piglets died soon after
that time point with the presentation of ventricular arrhythmia. After discontinuation, the
MABP increased to the initial level in the piglets surviving after infusion. The IPA
557
The Hemodynamic Effects of the Formulation of Glyphosate-Surfactant Herbicides
Parameters
Control
(N = 3)
Glyphosatea
(N = 6)
Isopropylam Isopropylaminea Polyoxyethyleneinea
salt of glyphosate -aminea (POEA)
(N = 6)
(N = 6)
(N = 6)
Body weight (kg)
Mean ± SEM
15.57 ± 1.96 15.47 ± 1.02 17.08 ± 1.14
16.43 ± 1.43
16.17 ± 0.96
82.03 ± 4.08 81.07 ± 1.59 82.17 ± 0.40
79.40 ± 1.64
80.92 ± 1.18
Body height (cm)
Mean ± SEM
Body surface
area (m2)
Mean ± SEM
0.563 ±
0.052
0.558 ±
0.023
0.585 ± 0.018
0.565 ± 0.028
0.567 ± 0.021
238.47 ±
17.49
mg/kg
75.24 ± 4.51
mg/kg
159.80 ± 15.79
mg/kg
0.09 ± 0.01
ml/kg
6/6
(100.00%)
6/6
(100.00%)
6/6
(100.00%)
2/6 (33.33%)*
2/6 (33.33%)*
550.00 ±
180.28
345.00 ±
91.60
363.33 ±
40.79
140.00 ± 89.14b
191.67 ± 121.39 b
533.33 ±
169.15
545.00 ±
64.43
451.67 ±
32.09
160.00 ± 101.32b 208.33 ± 135.66 b
Administered
doses (mg/kg or
mL/kg piglet
weight)
Survival rate (%)
No.
surviving/total
[no. (%)]
Urine amount on
postoperative
day 1 (mL)
Mean ± SEM
Urine amount on
postoperative
day 2 (mL)
Mean ± SEM
SEM, standard error of the mean.
aThe administered concentration for glyphosate, isopropylamine, IPAG, and polyoxyethyleneamine
were calculated based on 40 wt % IPAG solution and 15% polyoxyethyleneamine, equal to 0.296 g/g
(isopropylamine salt of solution), 0.104 g/g, 0.40 g/g, and 0.15 mL/mL ethoxylated tallowamine in
water.
bOnly two surviving piglets were counted.
*p < 0.01 by Pearson’s χ2 test.
Data from Lee et al, 2009.
Table 4. Values of body weight, body height, body surface area, survival rate, average
survival time, and urine amount at postoperative days 1 and 2 in the five groups.
558
Herbicides, Theory and Applications
infusion led a marked increase in MABP. In all the other experimental groups, no significant
changes in the MABP during the chemical infusion were observed. The average infused
dose of IPAG, G, IPA, and POEA was 159.80 ± 15.79 mg/kg (piglet weight), 238.47 ± 17.49
mg/kg, 75.24 ± 4.51 mg/kg, and 0.0944 ± 0.00546 ml/kg. Although HR decreased gradually
in the IPAG and POEA groups (10–30 min in the IPAG group and 35–100 min in the POEA
group, p < 0.05), there was no significant difference in HR between these groups.
Compared to NS and G, IPAG and POEA had markedly decreased the CI after the initiation
of infusion. Contrarily, the PCWP increased markedly in the IPAG and POEA groups.
No significant changes in the CI or PCWP were noted in the G or IPA group. IPAG
also increased the CVP and MPAP, but only a temporary increase in MPAP was
noted.
The LVSWI, RVSWI, SVRI, PVRI calculated from MAP, PCWP, the stroke volume index
(SVI), PAP, and CVP, were compared among the groups. IPAG infusion significantly
reduced the LVSWI values, which subsequently stabilized after the discontinuation of the
treatment. POEA also gradually reduced LVSWI during and after its infusion. These two
chemicals also increased the values of PVRI, which were significantly different from those in
the G group (p < 0.05). Whereas IPAG had no effect on the RVSWI, it increased the SVRI
values after the discontinuation of infusion. POEA had no effect on the RVSWI or SVRI.
Although IPA only transiently increased the RVSWI values during the infusion period (15–
60 min), it significantly increased the PVRI values, which were higher than those of the G
group. In contrast, G had no effect on the LVSWI, RVSWI, SVRI, or PVRI.
Table 5 shows the analysis of blood gas during the experiment. The initial mean pH was
7.45–7.51 in all experimental groups. The inhalation of oxygen during anesthesia caused
elevated arterial blood PO2 initially, ranging from 186.50 to 210.17 mmHg, and the PCO2 were
maintained around 35.83–41.33 mmHg. The initial lactate and base excess (BE)
concentrations were similar across the groups. No significant changes in the arterial blood
pH, PO2, PCO2, lactate, or BE occurred in the control group. POEA caused a reduction in the
pH at the end of experiment (p < 0.01), accompanied by a gradual increase in lactate (p <
0.01) and a reduction in BE, which is compatible with the process of metabolic acidosis.
Similar results were observed in the IPAG group, which also had an increase in lactate and a
reduction in BE during and after infusion (p < 0.01), with a slight reduction in the PCO2 value
during infusion. The G group had a reduction in pH and BE, with no changes in the other
parameters during or after infusion. Unlike POEA, G, and IPAG, IPA caused a gradual
increase in the BE.
A glyphosate standard and serum glyphosate concentrations were analyzed by HPLC as
described in the Methods. Under the conditions employed in our study, glyphosate had a
retention time of 10-11 min. The blood samples at different time points had retention time
similar to parent glyphosate. The dose used in the G group produced an average glyphosate
concentration of 166.54 ± 63.96, 236.47 ± 83.15, and 180.27 ± 33.19 ppm at 30, 45, and 60 min
after its administration, and the chemical was barely detectable after nearly 48 h; while in
the IPAG group, an average glyphosate concentration of 731.28 ± 151.38 ppm was detected
at 50% MABP (around 30.5 min, averagely), and it could be detected with an average of
148.74 ± 73.36 ppm after nearly 48 h. The glyphosate concentration detected in IPAG
infusion was four times higher than that in G infusion at ~30 min. We observe no plateau
The Hemodynamic Effects of the Formulation of Glyphosate-Surfactant Herbicides
Chemicals
559
pH
PO2
(mmHg)
PCO2
(mmHg)
Lactate
BE
(mEq/L)
7.47 ±
0.01
7.47 ±
0.02
7.46 ±
0.02
205.33 ±
1.21
198.67 ±
7.86
227.00 ±
35.64
41.33 ±
3.71
41.33 ±
4.71
40.67 ±
3.93
1.47 ±
0.37
1.43 ±
0.09
1.23 ±
0.07
6.27 ±
1.69
6.47 ±
2.32
5.27 ±
1.68
7.51 ±
0.02
7.45 ±
0.02**
7.47 ±
0.02*
210.17 ±
6.96
193.83 ±
6.46
193.83 ±
9.89
35.83 ±
2.86
37.83 ±
3.43
37.10 ±
2.58
1.37 ±
0.12
1.55 ±
0.17
1.63 ±
0.25
5.55 ±
1.43
2.03±
1.00**
3.37 ±
1.59*
7.45 ±
0.02
7.46 ±
0.03
7.48 ±
0.03
193.00 ±
11.72
179.83 ±
8.75
201.17 ±
25.9
39.67 ±
2.35
43.33 ±
2.32
43.17 ±
2.27
1.83 ±
0.39
1.81 ±
0.55
1.43 ±
0.16
4.17 ±
2.24
7.43 ±
2.46*
8.82 ±
2.24**
7.48 ±
0.03
7.46 ±
0.04
7.23 ±
0.06**
196.67 ±
10.55
196.17 ±
12.86
167.83 ±
25.09
38.83 ±
3.99
31.17 ±
3.64*
38.83 ±
3.82
1.67 ±
0.26
3.97 ±
0.62**
7.58 ±
1.04**
4.72 ±
1.00
–1.42 ±
1.45*
–9.41 ±
2.62**
7.49 ±
0.01
7.50 ±
0.02
7.42 ±
0.05
186.50 ±
12.03
189.67 ±
10.50
124.50 ±
30.68
40.67 ±
1.96
30.83 ±
2.06**
34.01 ±
5.51
1.33 ±
0.12
2.12 ±
0.20**
3.78 ±
0.67**
7.65 ±
1.76
0.90 ±
1.08**
–3.01 ±
2.59**
Control (normal
saline)
Initial (mean ± SEM)
60 min (mean ± SEM)
Final (mean ± SEM)
Glyphosate (NaOH
base)
Initial (mean ± SEM)
60 min (mean ± SEM)
Final (mean ± SEM)
Isopropylamine
Initial (mean ± SEM)
60 min (mean ± SEM)
Final (mean ± SEM)
Polyoxyethyleneamine
Initial (mean ± SEM)
60 min (mean ± SEM)
Final (mean ± SEM)
Isopropylamine salt of
glyphosate
Initial (mean ± SEM)
50% of MABP (mean ±
SEM)
Final (mean ± SEM)
SEM, standard error of the mean.
*p< 0.05 vs. Initial; **p< 0.01 vs. Initial.
Data from Lee et al., 2009.
Table 5. Arterial blood gas analysis at 60 min after control (normal saline), glyphosate,
isopropylamine, or polyoxyethyleneamine injection and at 50% of the mean arterial blood
pressure (MABP) after treatment with isopropylamine salt of glyphosate.
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Herbicides, Theory and Applications
concentration for each piglet and therefore used the average concentrations for calculating
pharmacokinetic parameters. For G infusion, the t1/2 of glyphosate was 1.52 h, the Ke was
0.46 h-1, and the V was 16.05 liter (L); for IPAG infusion, they were 1.46 h, 0.47 h-1, and 3.92
L, respectively.
5.7 Conclusion and discussion
5.7.1 Infusion of IPA
In our study, the persistent elevated MABP and PVRI and the reversible RVSWI during IPA
infusion suggest an inotropic effect of IPA. The lower dose used in our study (1.2–1.4 mg/kg
per min vs. 2.5 mg/kg per min) may account for the differences observed between our and
the other study (Privitera et al., 1982).
5.7.2 Infusion of IPAG
In contrast to G and IPA, POEA and IPAG infusions introduced high death rates. IPAG
infusion lowered cardiac contractility and the MABP, accompanied by increases in the
MPAP and vascular resistance, which caused heart failure. A 66.7% fatality rate and blood
lactate formation with lowered BE values were noted following its infusion with ~50% of
the dose in the concentration similar to other chemicals. No pulmonary rales were detected
by auscultation during the experiments, and no hypoxemia, severe acidosis or alkalosis, or
obvious pH changes that could result in changes in pulmonary vascular resistance or
cardiac dysfunction were noted during the experiments. Uncoupling mitochondrial
oxidative phosphorylation and reduced the respiratory control ratios of mitochondria have
been reported as the possible toxic mechanism of glyphosate, IPAG or GlySH (Bababunmi et
al., 1979; Olorunsogo et al., 1979a; Peixoto, 2005), which may be one of the reasons used for
the explanation of lactate formation and acidosis; nevertheless, back to the level of more
complex organisms with effective buffering capacities, we could not see severe acidosis with
huge pH changes that could sufficiently lead to hemodynamic dysfunction. Therefore, the
changes in the cardiovascular parameters in our study imply direct depressive
cardiovascular and vasoactive effects exerted by IPAG.
5.7.3 Infusion of POEA
In our study, although POEA did not significantly affect MABP during the infusion period,
it progressively depressed left-side ventricular function (decreased the CI and LVSWI and
increased the PCWP and CVP), and increased pulmonary vasoconstriction effects (increased
the MPAP and PVRI) during and after its infusion, leading to metabolic acidosis with the
accumulation of lactate noted at 60 min and at the end of the experiment. In the POEA
group, 66.7% (4/6) of the piglets died between 1 and 3 h after the discontinuation of this
chemical. In a dog study, Tai et al. (1990) found that surfactant infusion decreased the
MABP, CO, and LVSWI, and Koyama et al. (1994) reported similar effects in rats, when the
surfactant polyoxyethylene alkylether produced negative chronotropic and inotropic
responses. Reviewing the experimental records, we found that the increases in anal
temperatures in the five groups, under the control of warm blanket, was no more than 1.4
ºC, and the blood glucose levels, under the support of intravenous glucose/saline fluids,
were kept around 100-200 mg/dL. The biochemistry data checked during one hour of
The Hemodynamic Effects of the Formulation of Glyphosate-Surfactant Herbicides
561
chemical infusions showed no evidence of acute change in renal or liver function. The mild
increase of lactate in the IPAG group might be induced by circulatory collapse or uncoupled
oxidative phosphorylation. Because we found no report of uncoupled oxidative
phosphorylation effects, the increase in lactate in the POEA group was most likely due to
circulatory collapse which could worsen acidosis and lead to death. It is commonly assumed
that acute acidosis could have adverse effects on hemodynamics. Therefore, it can be
speculated that the deaths of our experimental animals from uncorrected metabolic acidosis
was attributable to the infusion of POEA.
5.7.4 Infusion of glyphosate in NaOH base
The infusion of glyphosate in NaOH base had a reduction in pH and BE, with no significant
hemodynamic changes during or after infusion.
5.7.5 Serum concentration of glyphosate during the infusion of glyphosate in NaOH
and IPA base
According to the metabolic and pharmacokinetic studies, the vast majority of the body
burden after the administration of glyphosate is unchanged parent glyphosate and no toxic
metabolites are produced (Williams et al., 2000; Brewster et al., 1991). Human data on the
kinetics of glyphosate are rare. The analysis of plasma concentration-time profiles in a
prospective study of acute GlySH self-poisoning in adults suggested that the elimination of
glyphosate is the first-order elimination and the best-fit apparent elimination t1/2 of
glyphosate is 3.1 h with a fairly narrow 95% C.I. of 2.7–3.6 h (Roberts et al., 2010). However,
another study in rat showed after single 100 mg kg−1 intravenous (i.v.) and 400 mg kg−1 oral
doses administration, plasma concentration–time curves were best described by a twocompartment open model; the elimination t1/2 of α and β phase (distribution and
elimination terminal phase) for glyphosate from plasma were 0.345 h and 9.99 h after i.v.
and 4.17 h and 14.38 h after oral administration (Anadón et al., 2009). In our study, at the
same infused concentration and infusion rate, the calculated t1/2 and Ke values for
glyphoaste in the G and IPAG infusion groups were relatively close (for G infusion, t1/2 1.52
h, Ke 0.46 h-1; for IPAG infusion, 1.46 h, 0.47 h-1, respectively). Distribution, elimination, and
metabolism data are very important for being extrapolated from experimental animals to
humans; however, they may vary across different study design in different experimental
animals. In our piglet study, the elimination of glyphosate in intravenous infusion is
described by a one-compartment model with the first-order elimination, which is similar to
the report of Robert et al. in GlySH poisoning in humans.
In addition, a higher concentration of glyphosate was detected in the IPAG group than in
the G group at the approximate time point (731 ppm vs. 167 ppm). This phenomenon could
be explained by the different dissociation ability of IPA and NaOH salts. Since IPA is a weak
base and NaOH is a strong base, in the environment of ~ pH 7.4 (blood), IPA salt would
more easily dissociate than NaOH salt; thus, higher concentration of glyphosate in serum
could be detected in the IPAG group. This might be one of the reasons that glyphosate in
NaOH base with a pH of 5.7 had no obvious impact on hemodynamics during infusion,
except for mild reductions in pH and BE values which were still within normal ranges. In
562
Herbicides, Theory and Applications
contrast, glyphosate in the form of IPA salt produced more severe hemodynamic insults in
our study.
6. Summary
GlySH has been commonly used in suicide attempt in Taiwan and other Asia countries.
Case fatality rate ranged from 1.9 to 29.3% in Taiwan (Chen et al., 2009). The risk factors of
fatality or severity of GlySH exposure identified are amount of exposure, hypovolemic
shock, intractable shock, acute pulmonary edema, Acute Physiology and Chronic Health
Evaluation II score, age, male gender, laryngeal injury with aspiration, abnormal chest Xray, calendar time, reason for exposure, atropine therapy, elapsed time, delayed
presentation, number of involved organs, hyperkalemia, metabolic acidosis, tachycardia,
elevated serum creatinine, and high plasma glyphosate concentrations on admission (> 734
ug/mL) (Sawada et al., 1988; Tominack et al., 1991; Talbot et al., 1991; Hung et al., 1997; Lee
et al., 2000; Lee et al., 2008; Chen et al., 2009; Roberts et al., 2010). All the patients who are
reported to have ingested large amounts of GlySH should be carefully observed, especially
for those who present with respiratory distress, unstable hemodynamics, and old age. In
managing patients who have larger amount of GlySH ingestion, airway protection, early
detection of pulmonary edema, and prevention of further pulmonary damage and renal
damage appear to be of critical importance.
GlySH poisoning may induce severe cardiovascular symptoms in humans (Talbot et al.,
1991; Lin et al., 1999). Animal and cell studies have also shown that GlySH are more toxic
than POEA or glyphosate itself (Tai et al., 1990; Martinez and Brown, 1991; Richard et al.,
2005; Peixoto, 2005; Marc et al., 2002), and therefore synergistic effects between the
components of GlySH have been proposed (Peixoto, 2005; Marc et al., 2002). In the second
study, we demonstrated that the negative cardiovascular effects seen in GlySH poisoning
could be attributable to the surfactant POEA, IPAG, or both. Glyphosate in NaOH base or
IPA alone had no similar cardiovascular effects. Here, we first demonstrated that IPAG has
effects similar to POEA and provide further insight into the cardiovascular effects of
different salts of glyphosate and the adjuvants used in GlySH on experimental animals
under the circumstance of chemical infusion. Further studies that clarify more precisely the
mechanisms of the synergistic effect of glyphosate and IPA are required.
In the evaluation of the toxicity of pesticides, the current practice is to evaluate the active
ingredients. The current study shows that the adjuvant can be toxic. Therefore, the toxicity
pattern related to the combination of active ingredients with adjuvants should be taken into
consideration when evaluating the toxicity threshold of mixtures of pesticides. Furthermore,
efforts should be taken to search for the safest formula in the development of commercially
available pesticide products.
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26
Herbicides and Protozoan Parasite
Growth Control: Implications for
New Drug Development
Ricardo B. Leite1, Ricardo Afonso1,2 and M. Leonor Cancela1,2
2Department
1CCMAR – Centre of Marine Sciences and
of Biomedical Sciences and Medicine, University of Algarve, 8005-139 Faro,
Portugal
1. Introduction
Modern chromalveolates were originated through a series of events of endosymbiosis of
microalgae by an eukaryote, leading to the retention of its plastid by this new host. These
complex events, which took place multiple times during the course of evolution, originated
new organisms that either lost or retained parts of the metabolisms present in their ancestral
microalgae symbionts, achieved by transferring some of their genes into the nucleus of the
host cell or even maintaining a relic organelle, a plastid circular DNA. The presence of this
relic DNA was discovered in some apicomplexas, and thus named apicomplast. It was later
found that a large number of parasites belonging to Alveolata also contained a relic nonphotosynthetic plastid, homologous to the chloroplast of plants and algae, thus expanding the
apicomplast concept outside the apicomplexas. During the 90’s, some important metabolic
pathways just known to occur in plants, algae, fungus and some bacteria were also identified
in a series of important human parasites like Plasmodium falciparum and Toxoplasma gondii, the
agents of malaria and toxoplasmosis respectively, opening a new era in drug
prevention/control. Some of those protozoan parasites are responsible for millions of disease
cases worldwide and hence a major concern for human health. The growing understanding of
the biology and biochemistry of protozoan parasites, which has considerably increased over
the past two decades, has paved the way to the discovery of many potential targets for new
parasite drugs. The decrypted genomes of several species and the new post-genomic tools
considerably improved our ability to identify and study the different metabolic pathways at
the molecular level, and consequently contribute to validate potential drug targets.
In 1998 the journal Nature published the discovery of a group of protozoan parasites that
shared a metabolic pathway (shikimate pathway) essential for their survival with many
plants, fungi and bacteria, but not found in mammals. Furthermore, researchers
demonstrated that the herbicide glyphosate, known to interfere with this pathway in plants,
could be used successfully to inhibit the in vitro growth of these parasites, opening the
possibility of using available herbicides as a start point to develop new drugs to control
parasite growth.
Various studies have since then highlighted the importance of plastid or algae-like
pathways for other parasite metabolisms such as fatty-acid FAS II, heme and isoprenoid
568
Herbicides, Theory and Applications
biosynthesis pathway, and since they are both essential for parasite survival and not present
in their hosts, they have attracted considerable attention as targets for therapeutics.
Furthermore, since they are already known as targets of existing herbicides, this should
significantly reduce the time and cost of specific drug development.
Herbicides are a class of compounds known to produce a wide range of toxic side effects,
thus posing a threat to several organisms including humans. However, and despite this
toxicity, which represents the negative side of their use, we have to acknowledge that the
development and use of pesticides and herbicides over the past decades has played an
important role in increasing agricultural productivity and in controlling potential carriers of
human diseases (Table 1). In the near future, the same herbicides may become the
precursors of new drugs against protozoan parasite diseases.
2. Metabolic pathways as drug targets
Parasite cells as well as their corresponding hosts have hundreds of metabolic pathways that
are vital for their normal function. Therefore, there is always a need to study host pathways
and compare them with those of the parasite. Each pathway has a number of enzyme reactions
that catalyze its different steps. Enzyme activity at every step is regulated to ensure that the
final product of the pathway provides for the needs of the cell. With the recent completion of
many genome projects, it became possible to provide provisional maps of the proteome of
several parasites. A large portion of predicted or confirmed open reading frames result in
unique proteins not found in the corresponding hosts, and these are good news when it comes
to drug development since compounds that inhibit whatever function of these proteins are
potentially less likely to cause severe side-effects to the host. The challenge resides in showing
that a particular protein or pathway is essential for the survival of the parasite and thus if that
protein can be a potential drug target. To find an answer to this question we either have highthroughput methods or can use a more traditional approach, based on some prior knowledge
of candidate metabolic pathways or cellular processes.
2.1 Shikimate pathway
Biosynthesis of aromatic amino acids in plants, in many bacteria, and in microbes relies on
the enzyme 5-enolpyruvylshikimate 3-phosphate (EPSP) synthase, a good target for several
drugs including herbicides. Because the shikimate is absent in more complex organisms,
EPSP synthase is an attractive target for the development of new antimicrobial agents
effective against bacterial, parasitical, and fungal pathogens. A valuable lead compound and
an exemple in the search for new drugs and herbicides is glyphosate. Glyphosate is a
successfully used herbicide, being the active ingredient of the widely used weed control
agent Roundup, and was shown to inhibit the growth of the parasites P. falciparum, T. gondii,
C. parvum (Roberts et al. 1998) and P. olseni (Elandalloussi et al. 2008), among others.
2.2 Isoprenoid biosynthesis pathway
Isopentenyl diphosphate (IPP) is the central intermediate in the biosynthesis of isoprenoids,
the most ancient and diverse class of natural products. Two distinct routes of IPP
biosynthesis occur in nature, the mevalonate pathway and the recently discovered
deoxyxylulose 5-phosphate (DOXP) pathway. The evolutionary history of the enzymes
involved in both routes and the phylogenetic distribution of their genes across genomes
suggests that the mevalonate pathway is unique to archaebacteria, as the DOXP is for
Herbicides and Protozoan Parasite Growth Control: Implications for New Drug Development
Herbicides
Norflurazon, fluridone
Diclofop, sethoxydim,
tralkoxydim, alloxydim,
clethodim and cycloxydim
Fosmidomycin
Trifluralin, oryzalin and
amiprophos-methyl
Ethalfluralin, oryzalin and
trifluralin
Organism
Plasmodium
falciparum
Plasmodium
falciparum
Plasmodium
falciparum
Plasmodium
falciparum
Target
Carotenoid synthesis
Fatty acid synthesis
Isoprenoids pathway
Microtubule inhibitor
Toxoplasma Gondii Microtubule inhibitor
569
References
US Patent
5859028
US Patent
5877186
(Lichtenthaler
2000)
(Fennell et al.
2006)
(Stokkermans
et al. 1996)
(Traub-Cseko
et al. 2001)
(Arrowood et
al. 1996)
Dinitroaniline herbicides
Trypanosoma cruzi Microtubule inhibitor
Dinitroaniline herbicides
Cryptosporidium
parvum
Microtubule inhibitor
Dinitroaniline and
phosphorothioamidate
herbicides
Plasmodium
falciparum
Microtubule inhibitor
(Fennell et al.
2006)
Trifluralin, pendimethalin,
oryzalin, and
benfluralin (dinitroaniline
herbicides)
Plasmodium
berghei
Microtubule inhibitor
(Dow et al.
2002)
Entamoeba
histolytica
2,4,5 trichlorophenoxy acetic Tetrahymena
pyriformis
acid
Dinitroaniline herbicides
Aryloxyphenoxypropionate
herbicides
Microtubule inhibitor
Mitochondria
Plastid acetyl-CoA
Toxoplasma Gondii carboxylase
Clodinafop-propargyl
Babesia equi and B. Plastid acetyl-CoA
caballi
carboxylase
Flufenacet
Perkinsus marinus PUFA pathway
Glyphosate
Plasmodium
falciparum
Shikimate pathway
Glyphosate
Perkinsus olseni
Shikimate pathway
(Makioka et al.
2000)
(Silberstein and
Hooper 1977)
(Zuther et al.
1999)
(Bork et al.
2003)
(VenegasCaleron et al.
2007)
(Roberts et al.
1998)
(Elandalloussi
et al. 2008)
Table 1. Herbicide derivatives used to control parasite proliferation, their metabolic targets
and corresponding references
eubacteria, and that eukaryotes have inherited their genes for IPP biosynthesis from
prokaryotes. The occurrence of genes specific to the DXP pathway is restricted to plastid-
570
Herbicides, Theory and Applications
bearing eukaryotes, indicating that these genes were acquired from the cyanobacteria
ancestor of plastids (Lim and McFadden 2010). The non-mevalonate isoprenoid biosynthesis
pathway is essential for many protozoan parasites survival, since DOXP inhibitors like
herbicide fosmidomycin strongly inhibit their in vitro proliferation (Lichtenthaler 2000;
Wiesner et al. 2002), and thus is effective in managing the clinical symptoms of malaria that
are associated with the intra-erythrocytic phase of the parasite cell cycle (Jomaa et al. 1999).
Hence, all herbicides which are inhibitors of this pathway in plants are also potential drugs
against all parasites bearing the same pathway.
2.3 Fatty acid biosynthesis
It was previously thought that apicomplexan parasites were incompetent for de novo fatty
acid synthesis (Holz 1977; Matesanz et al. 1999), but recent work showed the presence of
nuclear-encoded apicomplast-targeted genes for all enzymes of the fatty acid biosynthesis
pathway in several apicomplexa parasites and this finding provided strong arguments in
favor of the presence of a de novo fatty acid biosynthesis in this organelle (Surolia et al. 2004).
The presence of highly conserved proteins known as Type II fatty acid synthase explains the
susceptibility of T. gondii and P. falciparum to herbicides targeting plastidic Acetyl-CoA
carboxylase, like the aryloxyphenoxypropionates. This pathway is seen as a promising drug
target, mostly because it is structurally and functionally distinct from its equivalent pathway
present in the vertebrate hosts (Goodman and McFadden 2008).
3. Perkinsus, a protozoa parasite of interest for pharmaceutical testing
Protozoa represents one of the earliest branches of eukaryotic organisms and the key to
understand early global evolution. Inside protozoa, alveolata represents one of the classes
better studied due to the presence, within this class, of the apicomplexa, which include
parasites like the agents of malaria and toxoplasmosis (leading opportunistic infections
often associated, among others, with AIDS and with congenital neurological birth defects),
responsible for the infection of man and cattle, thus making this phylum particularly
important for medical and veterinary reasons. Most of these organisms are a major cause of
disease worldwide, but many of them have received little attention from pharmaceutical
industry. This scenery is now changing due to the completeness of genome sequence of
some of the most important protozoan parasites within this phylum. Comparative genomics
using growing information provided by multiple genome sequencing efforts can now be
used to help identify parasite-specific targets for drug development. However, and despite
the increasing variety of genomes already sequenced, many possible applications resulting
from their analysis are most likely not yet unveiled since, very often, knowledge of the
genome alone is not sufficient to provide answers to many of the existing questions, and the
unveiling of both transcriptome and/or proteome are also required.
3.1 The genus Perkinsus
The microorganisms of the genus Perkinsus are protist parasites responsible for important
mortalities in different mollusc species. It was first described in 1946 as a spherical
unknown organism found in moribund Crassostrea virginica oysters but not in healthy ones
in Louisiana (USA) (Mackin et al. 1950). For the past two decades a severe mortality is
affecting bivalve molluscs particularly in Portugal and Spain (Leite et al. 2004). This
mortality was first associated with the parasite Perkinsus (P.) atlanticus in 1989 (Azevedo
Herbicides and Protozoan Parasite Growth Control: Implications for New Drug Development
571
1989). Recently, phylogenetic studies and the use of molecular data have shown that P.
atlanticus and P. olseni are, in fact, the same organism (Murrell et al. 2002). On the other side
of the Atlantic, oyster’s mortalities are related with a parasite from the same genus, P.
marinus. This parasite was first classified as a fungus, then as an Apicomplexa and now, a
new taxonomic class (Perkinsea) was created inside Alveolata to place all Perkinsus.
Some authors suggest that Perkinsus represents an early branch between dinoflagellates and
apicomplexa. These two groups of organisms are quite different, each containing unique
characteristics, like the absence of histones and presence of photosynthesis in dinoflagellates
and the presence of a circular DNA within a plastid in some apicomplexa like P. falciparum
(Gardner et al. 1991) and T. gondii. Furthermore, it was recently suggested that Perkinsus
also possesses both a non-photosynthetic plastid reminiscent of the apicomplexan relic
plastid organelle, the apicomplast, (Teles-Grilo et al. 2007) and additional specific cell
compartments (Fernández-Robledo et al. 2008) raising questions about the nature and origin
of putative relic plastid/compartments in Perkinsus species.
Although the analysis of Perkinsus genes has only started very recently, some notorious
findings are being made, in terms of characterization of metabolic pathways susceptible to
play a critical role for drug targeting. Approaches to begin unveil Perkinsus transcriptome
were already made by our group like the usage of Suppression Substractive Hybridization
(SSH) to identify genes differentially expressed by P. olseni when exposed to hemolymph
from Ruditapes decussatus (Ascenso et al. 2007) or the use of differential transcriptomic
analysis to unveil Perkinsus transcripts resulting from gene transcription under differential
conditions (Leite el al., unpublish data). But at present, as more and more genome sequence
information for Perkinsus becomes available, the use of more high throughput
techniques/tools such as microarrays is possible. There is currently ongoing a project
conducting P. marinus genome (almost complete) sequencing by The Institute for Genomic
Research (TIGR)/Center for Marine Biotechnology (COMB) (http://www.tigr.org/tdb
/e2k1/pmg/). The strategy chosen for sequencing P. marinus was whole genome shotgun
sequencing (8x coverage).
3.2 In vitro parasite cultures as tools for drug screening
In vitro cultures have been extensively used for screening chemotherapeutic agents. This
technique is less costly than animal screening but depends on the ease of establishing
laboratory cultures. The relationship between the parasite and the host is very intricate and
in most cases disruptions of the host-parasite relationship in vitro leads to gradual death of
the parasite. A frequent difficulty to establish continuous parasite cultures is their usually
complex life cycle, in addition to some of them having intermediate hosts. An attempt to
provide the parasite with a specific culture medium which is the most similar to its in vivo
environment has been conducted for each parasite that can be cultured in vitro (Allen et al.
2005).
Various in vitro cultures of the protozoan parasite of genus Perkinsus (Figure 1) have already
been developed (Gauthier et al. 1995; Robledo et al. 2002; Casas et al. 2008), and have the
advantage of not requiring the presence of a host enhancing the capability of assessing the
effects of drugs on parasite growth (Gauthier and Vasta 1994; Elandalloussi et al. 2005; Leite
et al. 2008). The effects of a given drug can thus be determined by analyzing the survival of
the parasites as a function of time in culture in the presence or absence of the drug to be
tested (Figure 2) and analyzing the data using specific software (Figure 3).
572
Herbicides, Theory and Applications
Fig. 1. Perkinsus olseni cells under culture
3.3 Perkinsus proliferation can also be affected by herbicides derivatives
To demonstrate the advantages of the usage of Perkinsus as an alternative for the screening
for new drug targets affecting viability/proliferation of the parasite and thus identification
of possible drug precursors among known herbicides, a test using the most common
herbicides was developed. Ten herbicides were chosen between the most frequently used
worldwide (see Table 3). Other aspect taken into consideration was the choice of a non
dinitroaniline, phosphorothioamidate or aryloxyphenoxypropionate herbicide because their
mode of action is already known for several protists. The only exception to this criteria was
the presence of Pendimethalin, which was used as positive control. A brief description of the
main usages of the selected herbicides is presented below:
•
2,4-Dichlorophenoxyacetic acid (2,4-D), a broadleaf herbicide have been commercially
available for over 50 years and are a widely used family of phenoxy herbicides
worldwide, being a case study on agricultural chemicals. Now mainly used in a blend
with other herbicides, it is the most widely used herbicide in the world, third most
commonly used in the United States. It is an example of synthetic auxin (plant
hormone) (Kennepohl et al. 2001).
•
Atrazine, a triazine based herbicide is used in corn and. The low cost/good
performance on a broad spectrum of weeds common in the U.S. is explains the widely
usage of this pesticide. It is also commonly used with other herbicides to lower
potential groundwater contamination. It is a photosystem II inhibitor (Lim et al. 2009).
•
Dicamba another example of a synthetic auxin is a benzoic acid herbicide that acts by
mimicking the effects of auxins (i.e., natural plant growth hormones), causing enhanced
but uncontrolled growth rates, alterations in plant function homeostasis, and death.
Dicamba is often combined with one or several other herbicidal agents including 2,4-D,
2,4-DP, atrazine, glyphosate, imazethapyr, ioxynil, and mecoprop. It is used to control a
wide spectrum of annual and perennial broadleaf weeds and is effective in both preand post-emergence applications. A primary agricultural use is weed reduction in
grain/cereal cropsand maintenance of pastures, forest lands, fence rows, and
transportation and utility rights-of-way. (Harp et al. 2001).
Herbicides and Protozoan Parasite Growth Control: Implications for New Drug Development
573
Fig. 2. Method to screen the effect of compounds in the proliferation of Perkinsus olseni using
in vitro cultures (Elandalloussi et al. 2005; Leite et al. 2008).
574
Herbicides, Theory and Applications
Fig. 3. Data analysis of Perkinsus olseni antiparasitic compounds screening
•
•
Glufosinate ammonium, a broad-spectrum contact herbicide and is used to control
weeds after the crop emerges or for total vegetation control on land not used for
cultivation. It is a structural analogue of glutamate and acts in plants by inhibiting
glutamine synthetase, thereby blocking synthesis of glutamine from glutamate and thus
assimilation of NH4 (Manderscheid and Wild 1986; Hack et al. 1994).
Fluroxypyr, a systemic, selective herbicide is used for the control of broad-leaved weeds
in small grain cereals, maize, pastures, range land and turf. It is a synthetic auxin. In
cereal growing, fluroxypyr's key importance is in the control of cleavers, Galium
aparine. Other key broad-leaved weeds are also controlled (Wu et al. 2009).
575
Herbicides and Protozoan Parasite Growth Control: Implications for New Drug Development
•
Imazapyr is a non-selective herbicide used for the control of a broad range of weeds
including terrestrial annual and perennial grasses and broadleaved herbs, woody
species, and riparian and emergent aquatic species (Hess et al. 2010).
•
Linuron is a non-selective herbicide used in the control of grasses and broadleaf weeds.
It works by inhibiting photosynthesis (Snel et al. 1998).
•
Metolachlor is a pre-emergent herbicide widely used to control annual grasses in corn
and sorghum; it has partially replaced atrazine in these uses (Heydens et al. 2010).
•
Pendimethalin, is a pre-emergent herbicide widely used to control annual grasses and
some broadleaf weeds in a very wide range of crops, including corn, soybeans, wheat,
cotton, many tree and vine crops, and many turfgrass species (Heydens et al. 2010).
•
Picloram, is a pyridine herbicide mainly used to control unwanted trees in pastures and
edges of fields. It is another synthetic auxin (Grossmann 2010).
All the herbicides were ordered from Sigma and the methodology followed was identical to
that described in Figures 1 and 2. In order to test the range of concentrations to be used, a
preliminary assay using all these herbicides in three different concentrations (1, 100 and
500µM) was conducted (table 2). Preliminary resulted suggested that only four herbicides
demonstrated some effect on Perkinsus proliferation (Fig. 4) and thus a more extended test
was performed using only these selected ones.
Coumpound
2,4-D
Atrazine
Dicamba
Fluroxypyr
Glufosinateammonium
Imazapyr
Linuron
Metolachlor
Pendimethalin
Picloram
Glyphosate
Fosmidomycin
Chemical
Formula
C8H6Cl2O3
C8H14ClN5
C8H6Cl2O3
C7H5Cl2FN2O3
phenoxy herbicides
chlorotriazine
benzoic acid
pyridine
Observed inhibition
(Perkinsus)
Yes
No
No
No
C5H15N2O4P
organophosphorus
No
-
C13H15N3O3
C9H10Cl2N2O2
C15H22ClNO2
C13H19N3O4
C6H3Cl3N2O2
C3H8NO5P
C4H10NO5P
imidazolinone
phenylurea
chloroacetanilide
dinitroaniline
pyridine
organophosphorus
-
No
Yes
Yes
Yes
No
Yes
No
391,3
193,2
396,6
3400
-
Group (herbicides)
IC50 (µM)
ND
-
Table 2. Compound names and corresponding chemical formulas of herbicides derivatives
shown to affect Perkinsus proliferation.
From the panel of herbicides tested, four of them had some effect on Perkinsus olseni
proliferation, namely 2,4-D, Linuron, Metolachlor and Pendimethalin (Figure 4).
The effect of Pendimethalin on Perkinsus proliferation was expected since an effect was
already observed for trypanosomatids and Plasmodium falciparum (Chan and Fong
1994; Dow et al. 2002). It works by inhibiting microtubule disruption during parasite
development.
Metolachlor belongs to the class of chloroacetanilides herbicides responsible for
inhibition of very-long-chain fatty acids (VLCFA) biosynthesis in plant and algal cells
576
Herbicides, Theory and Applications
(Böger et al. 2000; Trenkamp et al. 2004). It is already described in the literature that
Perkinsus marinus possess some genes related with VLCFA like FAE-1. P. marinus FAE1like elongating activity is also sensitive to the herbicide flufenacet, in accordance to
some higher plant 3-ketoacyl-CoA synthases (Venegas-Caleron et al. 2007) and explain
the results abtained with Metolachlor.
The primary effect of linuron is the inhibition of photosystem II electron flow (Snel et al.
1998), resulting in damage and plant weakness. This result can be surprise but due to
the lack of photosystem II in Perkinsus, but it can be related to the inhibition of electron
flow in other systems.
2,4-D also revealed some effect but even at higher concentrations (500 µM) it inhibit less
that 20% of the proliferation. Together with the pattern of the proliferation graphic, the
results suggest that this herbicide has some cytotoxic effect on Perkinsus may be due to
contaminations present in 2,4-D formulation.
Cell Viability (%)
-
150
150
125
125
Cell Viability (%)
-
100
75
50
75
50
25
25
0
Control
100
0.5
1.3
2.1
0
Control
2.9
1.3
2.9
(b)
150
150
125
125
Cell Viability (%)
Cell Viability (%)
(a)
100
75
50
25
0
Control
2.1
Log10 Linuron (μM)
Log10 2,4 D (μM)
100
75
50
25
0.5
1.3
2.1
Log10 Metolachlor (μM)
(c)
2.9
0
Control
0.5
1.3
2.1
2.9
Log10 Pendimethalin (μM)
(d)
Fig. 4. Proliferation of P. olseni after 72 h of exposure upon different treatments.
Vertical axis stands for cell viability in percentage and horizontal axis for log10 concentration in
µM (A) 2,4-Dichlorophenoxyacetic acid, (B) Linuron,(C) Metolachlor and (D) Pendimethalin.
Percentage of proliferation is relative to normal (non-treated) conditions (100%).
Herbicides and Protozoan Parasite Growth Control: Implications for New Drug Development
577
4. Advantages of Perkinsus as model organism for new drug development
against protozoa
Altogether, the available data suggest that Perkinsus can be a good alternative for herbicide
screenings to detect potential drug precursors affecting parasite metabolic pathways not
present in their hosts. Most of our currently used antiparasitic drugs have been identified as
a result of random screening of a series of chemicals that are related to compounds with
recognized therapeutic value. This is referred to as the empirical approach to drug discovery
and remains a valid approach to the discovery of novel antiparasitic molecules. Despite not
being comparable with true high-throughput screening, significant screening can be
conducted against the parasite in vitro using direct approaches since all antiparasitic drugs
must be tested against the parasite before advance to in vivo models (Woods and Knauer
2010).
Advantages of Perkinsus can be related to the fact that (i) it shares specific characteristics
with algae, fungus and plants, in particular the presence of metabolic pathways that are not
present in parasite hosts, (ii) these characteristic pathways are also present in several disease
agents like plasmodium and toxoplasma and thus the response to specific drugs affecting
these pathogenic parasites can first be tested in Perkinsus, (iii) it is harmless for mammals,
(iv) it can be grown easily in vitro, (v) clonal cultures of the parasite have been developed
and are available and (vi) it shares many similarities with highly pathogenic parasites, thus
having the potential to became very useful for both the study of protozoan diseases and in
pharmaceutical drug discovery and/or testing.
In addition, and because Perkinsus is an aquatic parasite and circulates and differentiates
between the water column and the host, it can be an excellent biomarker of the degree of
contamination by chemicals accumulated in the water or upon the host body and thus be
very useful to detect effects of newly introduced chemicals and to be used to perform
preliminary tests on aquatic bioaccumulation as quickly as possible, to avoid possible
disasters.
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dismutase 2 (PmSOD2) localizes to single-membrane subcellular compartments.
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J.M.Wilson, R. (1991). Organisation and expression of small subunit ribosomal
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Gauthier, J. D., Feig, B. and Vasta, G. R. (1995). Effect of fetal bovine serum glycoproteins on
the in vitro proliferation of the oyster parasite Perkinsus marinus: development of a
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perkinsus marinus by the natural iron chelators transferrin,lactoferrin, and
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901-916
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Harp, P., Robert, I. K. and William, C. K. (2001). Dicamba. Handbook of Pesticide Toxicology
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Hess, F. G., Harris, J. E., Pendino, K., Ponnock, K. and Robert, K. (2010). Imidazolinones.
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Antimalarial Drugs. Science 285(5433): 1573-1576.
Kennepohl, E., Munro, I. C., Robert, I. K. and William, C. K. (2001). Phenoxy Herbicides (2,4D). Handbook of Pesticide Toxicology (Second Edition). San Diego, Academic Press:
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Makioka, A., Kumagai, M., Ohtomo, H., Kobayashi, S. and Takeuchi, T. (2000). Effect of
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Roberts, F., Roberts, C. W., Johnson, J. J., Kyle, D. E., Krell, T., Coggins, J. R., Coombs, G. H.,
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27
Synthesis and Evaluation of Pyrazine
Derivatives with Herbicidal Activity
Martin Doležal1 and Katarína Kráľová2
1Faculty
of Pharmacy in Hradec Králové, Charles University in Prague
of Natural Sciences, Comenius University in Bratislava
1Czech Republic
2Slovak Republic
2Faculty
1. Introduction
The pyrazine ring is a part of many polycyclic compounds of biological and/or industrial
significance; examples are quinoxalines, phenazines, and bio-luminescent natural products
pteridines, flavins and their derivatives. All these compounds are characterized by a low
lying unoccupied π-molecular orbital and by the ability to act as bridging ligand. Due to
these two properties 1,4-diazines, and especially their parent compound pyrazine, possess a
characteristic reactivity. Pyrazine is a weak diacid base (pK1 = 0.57; pK2 = -5.51), weaker
than pyridine, due to the induction effect of the second nitrogen (Bird, 1992). Its inherent
bifunctionality and the low lying unoccupied molecular orbital permit pyrazine to form
coordination polymers having unusual electrical and magnetic properties (Brown & Knaust,
2009). 1,4-Diazines may be employed to study inter- and intramolecular electron transfer in
organic, inorganic and biochemical reactions. Autocondenzation of α-aminocarbonyle
compounds to the dihydropyrazine derivative, which is followed by oxidation on the final
substituted pyrazine, or the condenzation of α,β-dicarbonyle and α,β-diamino compounds
forming during the fermentation of saccharides and peptides are the main routes of
pyrazine ring building. Pyrazines are found mainly in processed food, where they are
formed during dry heating processes via Maillard reactions (Maillard, 1912). They are also
found naturally in many vegetables, insects, terrestrial vertebrates, and marine organisms,
and they are produced by microorganisms during their primary or secondary metabolism
(Adams et al., 2002; Beck et al., 2003; Wagner et al., 1999; Woolfson & Rothschild, 1990). The
widespread occurrence of simple pyrazine molecules in nature, especially in the flavours of
many food systems, their effectiveness at very low concentrations as well as the still
increasing applications of synthetic pyrazines in the flavour and fragrance industry are
responsible for the high interest in these compounds (Maga, 1992). Certain pyrazines,
especially dihydropyrazines, are essential for all forms of life due their DNA strandbreakage activity and/or by their influencing of apoptosis (Yamaguchi, 2007). Synthetic
pyrazine derivatives are also useful as drugs (antiviral, anticancer, antimycobacterial, etc.),
fungicides, and herbicides (Doležal, 2006a). Furthermore, a simple pyrazine compound, 3amino-6-chloro-pyrazine-6-carboxylic acid, has shown anti-auxin behaviour (Camper &
McDonald, 1989). The importance of the pyrazine (1,4-diazine) ring for the biological
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Herbicides, Theory and Applications
activity can be evaluated primarily according to the size of the studied molecules. In
relatively small compounds, the pyrazine ring is necessary for biological action due to its
resemblance (bioisosterism) to the naturally occurring compounds (e.g. nicotinamide, or
pyrimidine nucleic bases). In bulky compounds the introduction of the pyrazine ring brings
specific chemical and physicochemical properties for the molecule as a whole, such as basic
and slightly aromatic character (Doležal, 2006a). A fully comprehensive study of the
pyrazines including reactivity and synthesis is beyond the scope of this work but can be
found in the literature (Brown, 2002; Joule & Mills, 2010).
Herbicides are generally considered as growth inhibitors, thus their different inhibitory
responses have been studied in various culture systems. Plant tissue and cell cultures
provide model systems for the study of various molecular, physiological, organism and
genetic problems. These systems have been used in the study of herbicides and other
xenobiotics (Linsmaier & Skoog, 1965).
2. Pyrazine herbicides
The most successful pyrazine derivative was diquat-dibromide (see Fig. 1, the structure I).
This non-selective, contact herbicide has been used to control many submerged and floating
aquatic macrophytes which interferes with the photosynthetic process, releasing strong
oxidizers that rapidly disrupt and inactivate cells and cellular functions (at present banned
in many EU countries). Severe oral diquat intoxication has been associated with cerebral
haemorrhages and severe acute renal failure (Peiró et al., 2007). Also quinoxaline herbicides
(containing the pyrazine fragment) are very useful herbicides. Among them propaquizafop
(Fig. 1, II) and quizalofop-ethyl (Fig. 1, III) are the most important derivatives (Frater et al.,
1987; Sakata et al., 1983).
CH3
O
Cl
N
O
O
N
O
N
N
2 Br-
N
O
N
O
CH3
CH 3
I
II
CH3
O
Cl
N
O
III
CH3
O
Fig. 1. Structures of diquat-dibromide (I), propaquizafop (II) and quizalofop-ethyl (III).
2.1 Diquat
Diquat-dibromide (6,7-dihydrodipyrido[1,2-a:2',1'-c]pyrazinediium-dibromide; for the
structure see Fig. 1, I) is a quaternary ammonium salt used as a non-selective contact
herbicide and desiccant, absorbed by the foliage with some translocation in the xylem. It is
used for preharvest desiccation of many crops, as a defoliant on hops, for general weed
control on non crop land etc. (Ritter et al., 2000; Ivany, 2005). It is applied as an aquatic
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
583
herbicide in many countries since the late 1950s for control of emergent and submerged
aquatic weeds (Ritter et al., 2000). According to Massachusetts Department of Agricultural
Resources (2010) following weeds are controlled by diquat: i) submersed aquatics:
Ultricularia, Ceratophyllum demersum, Elodea spp., Najas spp., Myriophyllum spp., Hydrilla
verticillata, Potamogeton spp.; ii) floating aquatics: Salvinia spp., Eichhornia crassipes, Pistia
Stratiotes, Lemna spp., Hydrocotyle spp.; iii) marginal weeds: Typha spp. ; iv) algae: Pithophora
spp. , Spyrogyra spp. (filamentous algae). Diquat is stable in neutral and acidic solutions but
unstable in alkaline medium. It breaks down by the UV radiation and the degradation
increases with pH > 9 (Diaz et al., 2002). It is also biodegraded in water by microorganisms
that uses this herbicide as a source of carbon or nitrogen (Petit et al., 1995).
Trade names for diquat-dibromide formulations included Desiquat®, Midstream®,
Reglone®, and Reglex®. Mixtures of diquat with another quaternary herbicide paraquat (1,1'dimethyl-4,4'-bipyridinium-dichloride) were sold under trade names including Actor®,
Dukatalon®, Opal®, Pathclear® (also includes simazine and aminotriazole), Preeglox®,
Preglone®, Seccatutto®, Spray Seed®, and Weedol® (Lock & Wilks, 2001).
Fig. 2. Scheme of the photosynthetic electron transport in photosystem I (PS I). (Figure taken
from http://www.bio.ic.ac.uk/research/barber/psIIimages/PSI.jpg with permission of
Prof. Barber, Imperial College London).
The first paper dealing with the mode of action of diquat was published in 1960 by Mees
who indicated that oxygen and light were essential for its herbicidal effect. Later Zweig et al.
(1965) found that diquat caused a deviation of electron flow from photosystem (PS) I what
resulted in an inhibition of NADP+ reduction and the production of a reduced diquat
radical. In Fig. 2 is shown scheme of the photosynthetic electron transport (PET) in PS I.
In plants, the PS I complex catalyzes the oxidation of plastocyanin and the reduction of
ferredoxin (Fd). From the primary donor, P700, electrons are transferred to the primary
584
Herbicides, Theory and Applications
acceptor, A0 and then to phylloquinone (A1) operating as a single electron acceptor. From A1
electrons are transferred to a 4Fe-4S cluster (FX) and subsequently to two 4Fe-4S clusters, FA
and FB, located on the stromal side of the reaction center close to FX. PS I produces a strong
reductant that transfers electrons to Fd. Ferredoxin, one of the strongest soluble reductants
found in cells, operates in the stromal aqueous phase of the chloroplast, transferring
electrons from PS I to ferredoxin-NADP+ oxidoreductase. The final electron acceptor in the
photosynthetic electron transport chain is NADP+, which is fully reduced by two electrons
(and one proton) to form NADPH, a strong reductant which serves as a mobile electron
carrier in the stromal aqueous phase of the chloroplast (Whitmarsch, 1998).
Due to deviation of electron flow from Fd, an inhibition of NADP+ reduction occurs and a
reduced diquat radical is formed. Davenport (1963) found that in the presence of oxygen the
reduced diquat free radical was reoxidized with the production of hydrogen peroxide. Thus,
an one-electron reduction of diquat results in a cation free radical that reacts rapidly with
molecular oxygen and generates reactive oxygen species such as the superoxide anion
radical (Mason, 1990). Reactive oxygen species cause oxidative stress in the cell with
consecutive damage of biological membranes. In herbicide classification diquat, similarly to
paraquat, is classified as HRAC Group D herbicide causing PS I electron diversion (HRAC
2005). Injury to diquat–treated crop plants occurs in the form of spots of dead leaf tissue
wherever spray droplets contact the leaves indicating that this herbicide belongs to
membrane disruptors. The use of diquat for the control of aquatic weeds is widespread in
the US (US Environmental Protection Agency, 1995) whereas it is forbidden in the EU
(European Commission, 2001, 2002).
As mentioned above, diquat toxicity to both aquatic plants and animals originates from the
formation of reactive oxygen species in both chloroplasts and mitochondria (Cedergreen et
al., 2006; Sanchez et al., 2006). The field effects of diquat to natural strands of aquatic
vegetation were studied by Peterson et al. (1997) and Campbell at al. (2000). The filamentous
cyanobacteria were slightly less tolerant than the unicellular cyanobacteria and the most
sensitive was genus Anabena (Peterson et al., 1997). Gorzerino et al. (2009) showed that
diquat, used as the commercial preparation Reglone 2®, inhibited the growth of Lemna minor
in indoor microcosms. According to findings of Campbell et al. (2000) diquat has a minimal
ecological impact to benthic invertebrates and fish; on the other hand, aquatic plants in the
vicinity of application to surface waters appear to be at risk (nevertheless this is expected, as
diquat-dibromide kills aquatic plants). Howewer, Koschnick et al. (2006) observed that the
accession of Landoltia from Lake County (Florida) had developed resistance to diquat and
the resistance mechanism was independent of photosynthetic electron transport.
2.2 Patented pyrazine herbicides
The control of unwanted vegetation by means of chemical agents, i.e. herbicides, is an
important aspect of modern agriculture and land management’s. While many chemicals that
are useful for the control of unwanted vegetation are known, new compounds that are more
effective generally, are more effective for specific plant species, are less damaging to
desirable vegetation, are safer to man or the environment, are less expensive to use or have
other advantageous attributes, are desirable (Benko, 1997). Many structural variations of
pyrazine compounds with herbicidal properties can be found in the patent literature.
Several thiazolopyrazines exhibited pre-emergent herbicidal activity when applied as
aqueous drenches to soil planted with seeds of certain plants. For example, application of
4000 ppm of compound IV (Fig. 3) resulted in emergence inhibition of crabgrass (50% of the
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
585
control) and barnyard grass (Echinochloa crus-galli (L.) P. Beauv.) (45% of the control). Due
to the treatment with a dose of 2 lb per acre of compound V (Fig. 3), the emergence of cotton
reached only 30% of the control (Tong, 1978).
Böhner & Meyer (1989a, 1989b, 1990) prepared a set of aminopyrazinones (Fig. 3, VI) and
aminotriazinones and tested these compounds for their herbicidal action before emergence
of the plants. It was found that application of 70.8 ppm of some compounds on the substrate
vermiculite resulted in very potent inhibition of seed germination of Nasturtium officinalis,
Agrostis tenuis, Stellaria media and Digitaria sanguinalis. Due to the treatment with compound
where R1 = CH3, R2 = OCH3, R3 = H, R7 = H, R8 = COOCH3, X = O plants have not
germinated and completely died. After spraying of 21 days old spring barley (Hordeum
vulgare) and spring rye (Secale) plants shoots with an active substance VI (up to 100 g per
hectare) new additional growth of plants reached only 60-90% of the control. For grasses
Lolium perenne, Poa pratensis, Festuca ovina, Dactylis glomerate and Cynodon dactylon sprayed
with the same dose of an active substance (Fig. 3, VII) reduction in new additional growth in
comparison with the untreated control (10-30% of control) was observed, too (Böhner &
Meyer, 1989a, 1989b, 1990).
Benko et al. (1997) patented a series of N-aryl[1,2,4]triazolo[1,5-a]pyrazine-2-sulfonamides as
good pre- and post-emergence selective herbicides with good growth regulating properties.
Excellent pre-emergence activity against pigweed and morning glory and very good postemergence herbicidal activity against morning glory and velvet leaf (Abutilon theophrasti)
have been exhibited by the title compounds.
Dietsche (1977) patented as herbicides a group of substituted 6,7-dichloro-3,4-dihydro-2Hpyrazino(2,3-b)(1,4)oxazines showing hundred-percent inhibitory effectiveness when
applied as pre- as well as post-emergence herbicides (4000 ppm) for pigweeds.
Shuto et al. (2000) patented as useful active ingredients of herbicides a series of pyrazin-2one derivatives (Fig. 3, VIII, IX) where R1 is hydrogen or alkyl, R2 is haloalkyl, R3 is
optionally substituted alkyl, alkenyl or alkynyl and Q is optionally substituted phenyl. Some
compounds showed superb effectiveness against Abtutilon theophrasti and Ipomoea hederacea
when applied as foliar or soil surface treatment on upland fields (2000 g/ha).
Griffin et al. (1990) patented alkylpyrazine compounds (Fig. 3, X) with plant growth regulating
activity, where R1 is C1-C4 alkyl optionally substituted with halogen or cyclopropyl, optionally
substituted with C1-C4 alkyl; R2 is C1-C8 alkyl, C2-C8 alkenyl, or C2-C8 alkynyl optionally
substituted with halogen; C3-C6 cycloalkyl, C3-C6 cycloalkenyl. C3-C6 cycloalkylalkyl, C3-C6
cycloalkenylalkyl, phenylalkenyl or phenylalkynyl each optionally substituted on the ring
group; R3 is hydrogen or C1-C4 alkyl; R4 is hydrogen, C1-C4 alkyl, halogen, alkylamino, cyano,
or alkoxy; n is 0 or 1; and salts, ethers, acylates and metal complexes therof. The treatment of
plants with these compounds can lead to the leaves developing a darker green colour. In
dicotyledonous plants such as soybean and cotton, there may be promotion of side shooting.
The compounds may be useful in rendering plants resistant to stress since they can delay the
emergence of plants grown from seeds, shorten stem height and delay flowering. Engel et al.
(1999) patented herbicidal pyrazine derivatives (Fig. 3, XI) which are suitable very effectively
control weeds and grass weeds mainly in crops such as wheat, rice, corn, soybean and cotton,
without significantly damaging the crops. It could be stressed that this effect occurs in
particular at low application rates. In addition, these compounds can also be used in crops
which have been made substantially resistant to the action of herbicides by breeding and/or
by the use of genetic engineering methods.
N-pyrazinyl-haloacetamides (Fig. 3, XII) where R is hydrogen, hydrocarbonyl, halogen,
epoxy, hydroxy, alkoxy, mercapto, alkylsulfanyl, nitro, cyano or amino, R´ is hydrogen or
586
Herbicides, Theory and Applications
hydrocarbonyl, X is halogen, m is integer from 1 to 4 and n is 0, 1 or 2 showed herbicidal
activity. For example, spraying of the 2,2,2-trichloro-N-pyrazinyl acetamide on the soil
resulted in 100% growth inhibition of wild oats (dosage 1.12 g m-2) and yellow foxtail or
cultured rice (dosage 1.12 g m-2) (Fischer, 1988).
Novel pyrazine-sulfonylcarbamates and thiocarbamates (Fig. 3, XIII) (where Z is oxygen or
sulfur and R is C1-C4 alkyl, phenyl or benzyl; whereas the pyrazine ring may be variously
further substituted) have been found to be good selective herbicides and therefore they are
suitable for use in crops of cultivated plants. Moreover, these compounds can damage
problem weeds which till then have only been controlled with total herbicides (Böhner et al.,
1987). By means of surface treatment it is possible to damage perennial weeds to their roots.
Moreover, the compounds are effective when used in very low rates of application and they
are able to potentiate the phytotoxic action of other herbicides against certain noxious plants
and to reduce the toxicity of such herbicides to some cultivated plants. These compounds
can be used also as plant growth regulators causing inhibition of vegetative plant growth
what results in substantial increase of the yield of plants. Böhner et al. (1987) synthesized
and patented also a set of novel pyrazinyl sulfonamides of the formula Q-SO2-NH2 where Q
is substituted pyrazine group which could be useful in controlling weeds and are suitable
for selectively influencing plant growth. The compounds can be used as pre- and postemergence herbicides and as plant growth regulators for growth inhibition of cereals (e.g.
Hordeum vulgare or summer rye (Secale)) and grasses (e.g. Lolium perenne, Poa partensis,
Festuca ovina, Cynodon dactylon). Selective inhibition of the vegetative growth of many
cultivated plants permits more plants to be grown per unit of crop area, resulting in
significant increase in yield with the same fruit setting and in the same crop area.
Zondler et al. (1989) prepared a set of 2-arylmethyliminopyrazines (Fig. 3, XIV) and tested
them for their pre-emergent and post-emergent herbicidal action, as well as for their plant
growth regulating activity. Compounds with R5 = 4-Cl, R6 = 2-Cl, R7 = H and R1 =
SCH3H7(n) or SCH2CH=CH2 showed excellent pre-emergent effect (dose 4 kg/ha) against
Echinochloa crus-galli and Monocharia vag. The last compound was active already at
application rate of 500 g/ha. The 2-arylmethylimino-pyrazines were found to be also
effective post-emergence herbicides and can be used for growth inhibition of tropical
leguminous cover crops (e.g. Centrosema plumieri and Centrosema pubescens), growth
regulation in soybeans and growth inhibition of cereals, too.
Cyanatothiomethylthiopyrazines have been found to be active as pesticides and find
particular usage as fungicides, bactericides, nematocides and herbicides (Mixan et al., 1978).
Arylsulfanylpyrazine-2,3-dicarbonitriles have high herbicidal activity (Takematsu et al.,
1984; Portnoy, 1978). Takematsu et al. (1981) patented 2,3-dicyanopyrazines (Fig. 3, XV) as
compounds with high herbicidal activity as well as useful active ingredients of herbicides.
The compounds have ability to inhibit the germination of weeds and/or wither their stems
and leaves, and therefore exhibit an outstanding herbicidal effect as an active ingredient of
pre-emergence and/or post-emergence herbicides in submerged soil treatment, foliar
treatment of weeds, upland soil treatment, etc.
Compounds where A represents a phenyl group which may have 1 or 2 substituents
selected from the class consisting of halogen atoms and lower alkyl groups containing 1 to 3
carbon atoms and B represents an ethylamino, n-propylamino, n- or iso-butylamino, 1carboxyethylamino, 1-carboxy-n-propylamino, 1-carboxy-iso-butylamino, 1-carboxy-npentylamino or allylamino group have the property of selectively blanching (causing
587
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
chlorosis, i.e. inhibiting the formation of chlorophyll and/or the acceleration of its
decomposition) of weeds without chlorosis of useful crops. Hence, these compounds are
most suitable as high selective herbicides of chlorosis type.
R
O
O
N
Cl
N
S
Cl
N
CH3
Cl
N
N
E
CF3
N
Cl
O
R2
S
R3
N
R8
N
N
V
IV
O
R2
N
N
N
R3
N
R2
Y
R2
Q
N
IX
VIII
R2
OH
N
(CHR3 )n
C
R3
O
B
R3
O
VII
R4
R1
X
N
Q
N
E
R7
VI
R1
R1
S
O
R1
N
R1
N
R3
X
(CH2)n
R2
N
N
X
O
R(4-m)
Z
(NR'-C-CHnX(3-n)m
N
XII
XI
R7
O
N
H
S
N
C
N
R5
Z
N
OR
N
A
C
N
B
C
R6
R1
O
N
C
N
N
N
XIV
XIII
XV
N
R1
R5
R1
N
R2
N
N
R4
CF3
R2
N
N
N
N
O
PhCH 2O
N
O
R3
R3
XVI
XVII
XVIII
Fig. 3. Structures of patented thiazolopyrazines (IV,V), aminopyrazinones (VI,VII),
substituted pyrazin-2-ones (VIII,IX), arylalkylpyrazines (X, XI), N-pyrazinyl-haloacetamides
(XII), pyrazine-sulfonylcarbamates and thiocarbamates (XIII), 2-arylmethyliminopyrazines
(XIV), substituted 2,3-dicyanopyrazines (XV), pyridopyrazines (XVI), aryloxopyrazines
(XVII) and pyrimidinopyrazines (XVIII).
Takematsu et al. (1984) also patented a set of 2,3-dicyano-6-phenylpyrazine herbicides with
outstanding herbicidal activities on paddy weeds in submerged soil treatment. Because they
588
Herbicides, Theory and Applications
are not phytotoxic to rice, they can effectively control weeds in paddies. The compounds
exhibited herbicidal activity against important upland weeds such are Digitaria adscendens,
Polygonum persicaria, Galinsoga ciliata, Amaranthus viridis, Chenopodium album, Chenopodium
ficifolium, Echinochloa crus-galli (without damaging upland crops) as well as against a very
broad range of other upland weeds including Galium aparin, Rumex japonicus, Erigeron
philadelphicus, Erigeron annuus, and Capsella bursapastoria.
Cordingley et al. (2008) prepared herbicidal effective pyridopyrazines (Fig. 3, XVI) with
R1,R2 independently = H, alkyl, halo, CN, aryl, etc.; R3 = H, (halo)alkyl, alkenyl, etc.; R4 =
(un)substituted heteroaryl; and R5 = OH or group metabolizable to OH) or a salt or N-oxide
thereof. XVI applied post-emergence at 1000 g/ha completely controlled Solanum nigrum
and Amaranthus retroflexus. Also substituted aryloxopyrazines (Fig. 3, XVII) possess
interesting herbicidal effect (Niederman & Munro, 1994). For example, in tests against 8
plants, title compound XVII at 5 kg/ha (foliar spray) gave complete kill of Echinochloa crusgalli with no damage to rice. Test data include foliar, pre-emergence, and soil drench
applications against the 8 plants for most compounds. Sato et al. (1993) patented
pyrimidinopyrazines (Fig. 3, XVIII) (R1 = H, halo, alkoxy, alkylamino, alkyl, haloalkyl; R2 =
Ph, substituted Ph, benzyl, pyridyl, thienyl, furyl; R3 = SR4, OR5, NR6R7; R4,R5,R6,R7 = H,
alkyl, alkenyl, alkynyl; NR6R7 may form 3-7 membered ring), useful as herbicides, were
prepared and showed herbicidal activity against Stellaria neglecta at 0.63 kg/ha.
2.2.1 Structure-activity relationships in series of herbicidal 2,3-dicyanopyrazines
Nakamura et al. (1983) synthesized sixty six 2,3-dicyano-5-substituted pyrazines and
measured their herbicidal activities against barnyard grass in pot tests to clarify the
relationship between chemical structure and activity. The activity of 59 derivatives showed
parabolic dependence on the hydrophobic substituent parameter at the 5-position of the
pyrazine ring, indicating that the compounds should pass through a number of lipoidalaqueous interfaces to reach a critical site for biological activity. It was found that the moiety
of 2,3-dicyanopyrazine is essential for herbicidal activity, and the 5-substituent on the
pyrazine ring plays an important role in determining the potency of this activity and that
para-substituted phenyl derivatives show undesirable effects on the potency of the activity at
the ultimate site of herbicidal action.
Nakamura et al. (1983a) also synthesized sixty eight 6-substituted 5-ethylamino and 5propylamino-2,3-dicyanopyrazines and tested their herbicidal activities against barnyard
grass using pot tests. In general, these compounds induced chlorosis against young shoots
of barnyard grass and inhibited their growth. The most active compound was 2,3-dicyano-5propylamino-6-(m-chlorophenyl)-pyrazine. The results indicated that the structure of the 5ethylamino and 5-propylamino-2,3-dicyanopyrazine moieties is an important function for
the herbicidal activity and that the potency of activity of these two series of compounds is
determined by the hydrophobic and steric parameters of substituents at the 6-position of the
pyrazine ring.
3. Design, synthesis and evaluation of the pyrazinecarboxamides with
herbicidal activity
The structural diversity of organic herbicides continues to increase; therefore classification
of herbicides should be based on their chemical structure. The chlorinated aryloxy acids
dominated for long period, later were replaced by chemicals of many distinct chemical
589
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
classes, including triazines, amides (haloacetanilides), benzonitriles, carbamates,
thiocarbamates, dinitroanilines, ureas, phenoxy acids, diphenyl ethers, pyridazinones,
bipyridinium compounds, ureas and uracils, sulfonylureas, imidazolinones, halogenated
carboxylic acids, and many other compounds. Carboxamide or anilide moieties are present
in many used herbicides, i.e. alachlor, acetochlor, benoxacor, butachlor, diflufenican,
dimethenamid, diphenamid, isoxaben, karsil, napropamide, pretilachlor, propyzamide,
dicryl, diflufenican, flufenacet, mefenacet, mefluidide, metolachlor, naphtalan, picolinafen,
propachlor, propanil, propham, solan (The Merck Index, 2006). Carboxamide or anilide
herbicides are nonionic and moderately retained by soils. The sorption of several
carboxamide herbicides has been investigated (Weber & Peter, 1982). The N-substituted
phenyl heterocyclic carboxamides are an important class of herbicides as
protoporphyrinogen-IX oxidase inhibitors with advantages such as high resistance to soil
leaching, low toxicity to birds, fish, and mammals, and slow development of weed
resistance (Hirai, 1999).
We have designed and prepared a series of 113 carboxamide herbicides derived from
pyrazinecarboxylic acid and various substituted anilines. The final compounds XIX were
prepared by the anilinolysis of substituted pyrazinoylchlorides (Doležal, 1999, 2000, 2002,
2006b, 2007, 2008a, 2008b). Their chemical structure, hydrophobic parameters (log P
calculated by ACD/logP ver. 1.0, 1996), and photosynthesis-inhibiting activity, structureactivity relationship (SAR) were studied. We synthesized in preference: i) the compounds
with the lipophilic and/or electron-withdrawing substituents on the benzene moiety (R3), ii)
the compounds with the hydrophilic and/or electron-donating groups on the benzene part
of molecule (R3), and finally iii) the compounds with the lipophilic alkyl (R2), i.e. methyl (CH3) or tert-butyl (-C(CH3)3) and/or halogen (chlorine) substitution (R1) on the pyrazine
nucleus, for their synthesis and structure see Fig. 4 and Table 1.
H2 N
O
R1
O
N
OH
R2
N
R1
O
R3
N
SOCl 2
R1
Cl
N
N
H
R3
-HCl
R2
N
R2
N
XIX
Fig. 4. Synthesis and structure of substituted N-phenylpyrazine-2-carboxamides (XIX).
3.1 Inhibition of photosynthetic electron transport by substituted N-phenylpyrazine-2carboxamides
3.1.1 Photosynthetic electron transport in photosystem II
Photosystem II uses light energy to drive two chemical reactions: the oxidation of water and
the reduction of plastoquinone. Five of redox components of PS II are known to be involved
in transferring electrons from H2O to the plastoquinone pool: the water oxidizing
manganese cluster (Mn)4, the amino acid tyrosine (Yz), the reaction center chlorophyll
(P680), pheophytin, and two plastoquinone molecules, QA and QB (Fig. 5). Tyrosine, P680,
pheophytin (Pheo), QA, and QB are bound to two key polypeptides (D1 and D2) that form the
reaction center core of PS II and also provide ligands for the (Mn)4 cluster (Whitmarsh,
590
Herbicides, Theory and Applications
1998). After primary charge separation between P680 (chlorophyll a) and pheophytin (Pheo),
P680+/Pheo- is formed. Then electron is subsequently transferred from pheophytin to a
plastoquinone molecule QA (permanently bound to PS II) acting as a one-electron acceptor.
Fig. 5. Scheme of the photosynthetic electron transport in photosystem II (PS II). (Taken
from Photosystem II in http://www.bio.ic.ac.uk/research/barber/psIIimages/PSII.jpg
with permission of Prof. Barber, Imperial College London).
From QA- the electron is transferred to another plastoquinone molecule QB (acting as a twoelectron acceptor); two photochemical turnovers of the reaction centre are necessary for the
full reduction and protonation of QB. Because QB is loosely bound at the QB-site, reduced
plastoquinone then unbinds from the reaction centre and diffuses in the hydrophobic core of
the membrane and QB-binding site will be occupied by an oxidized plastoquinone molecule
(Whitmarsh, 1998). Several commercial herbicides inhibit Photosynthetic elektron transport
(PET) by binding at or near the QB-site, preventing access to plastoquinone (e.g. Oettmeier,
1992). Photosystem II is the only known protein complex that can oxidize water, which
results in the release of O2 into the atmosphere. Oxidation of water is driven by the oxidized
primary electron donor, P680+ which oxidizes a tyrosine on the D1 protein (Yz) and four Mn
ions present in the water oxidizing complex undergo light-induced oxidation, too. Water
oxidation requires two molecules of water and involves four sequential turnovers of the
reaction centre whereby each photochemical reaction creates an oxidant that removes one
electron. The net reaction results in the release of one O2 molecule, the deposition of four
protons into the inner water phase, and the transfer of four electrons to the QB-site
(producing two reduced plastoquinone molecules) (Whitmarsh & Govindjee, 1999).
PET in chloroplasts can be estimated by electrochemical measurements of oxygen
concentration using Clark electrode (PET through the whole photosynthetic apparatus is
registered) or by spectrophotometric methods enabling the monitoring of PET through
individual parts of photosynthetic apparatus. The site of action of PET inhibitors can be
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
591
more closely specified by the use of chlorophyll fluorescence (e.g. Joshi & Mohanty, 2004) or
by electron paramagnetic resonance (EPR) (e.g. Doležal et al., 2001a).
3.1.2 Hill reaction activity of N-phenylpyrazine-2-carboxamides
The Hill reaction is formerly defined as the photoreduction of an electron acceptor by the
hydrogens of water, with the evolution of oxygen. In vivo, or in the organism, the final
electron acceptor is NADP+, in isolated chloroplasts an artificial electron acceptor that
changes colour as it is reduced, is applied. We tested a large series of pyrazinecarboxamides
(XIX) for their activity related to oxygen evolution rate (OER) using spinach chloroplasts
and 2,6-dichlorophenol-indophenol (DCPIP) as an electron acceptor what intercepts the
electrons before they transfer to cytochrome bf complex. Because the site of DCPIP action is
plastoquinone pool (PQ) on the acceptor side of PS II (Izawa, 1980) this method is suitable
for PET monitoring through PS II. The PET-inhibiting activities of the studied compounds
XIX (expressed as IC50 values) are summarized in Table 1.
No.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
R1
Cl
H
Cl
Cl
H
Cl
Cl
H
Cl
Cl
H
Cl
Cl
H
Cl
Cl
H
Cl
Cl
Cl
Cl
Cl
H
H
H
H
Cl
Cl
R2
H
tBu
tBu
H
tBu
tBu
H
tBu
tBu
H
tBu
tBu
H
tBu
tBu
H
tBu
tBu
H
H
H
H
tBu
tBu
tBu
tBu
tBu
tBu
R3
2-Br
2-Br
2-Br
3,5-Br-4-OH
3,5-Br-4-OH
3,5-Br-4-OH
3-OCH3
3-OCH3
3-OCH3
3,5-OCH3
3,5-OCH3
3,5-OCH3
5-Br-2-OH
5-Br-2-OH
5-Br-2-OH
3,4-Cl
3,4-Cl
3,4-Cl
3-F
2,4-F
4-Cl
4-CH(CH3)2
3-F
2,4-F
4-Cl
4-CH(CH3)2
3-F
2,4-F
IC50 Ref.
334
a
171
a
315
a
995
a
404
a
590
a
500
a
800
a
644
a
533
a
317
a
435
a
146
a
80
a
42
a
105
a
1525
a
130
a
565 d
539 d
486 d
118 d
313 d
371 d
1502 d
110 d
129 d
106 d
No.
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
R1
Cl
H
H
Cl
Cl
H
H
H
H
H
Cl
H
Cl
Cl
H
H
Cl
H
Cl
Cl
H
Cl
H
Cl
Cl
H
Cl
Cl
R2
R3
IC50 Ref.
tBu
2-Cl,5-OH
652
i
CH3
3-Br
648 b
668 b
CH3
3-C≡CH
tBu
385 b
3-C≡CH
tBu
375 b
3-C≡N
CH3
3-Cl
174 b
CH3
3-NO2
402 b
550 b
CH3 2-C≡N-4-NO2
CH3
3-I-4-CH3
317 b
CH3
2-COOH
75 b
tBu
3-F
262
c
tBu
3-OH-4-Cl
105
c
tBu
3-OH-4-Cl
44
c
tBu
2-Cl
43
c
tBu
2-Cl
371
c
H
2-Cl
47
c
H
2-CH3 1072
e
tBu
2-CH3
440
e
tBu
2-CH3
244
e
H
3-CH3
486
e
tBu
3-CH3
148
e
tBu
3-CH3
118
e
tBu
2-OCH3
286
e
tBu
2-OCH3
97
e
H
3-Br
313
e
tBu
3-Br
81
e
tBu
3-Br
107
e
H
3,5-CF3
26
e
592
No.
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
Herbicides, Theory and Applications
R1
Cl
Cl
Cl
Cl
Cl
Cl
H
H
H
H
Cl
Cl
Cl
Cl
Cl
Cl
H
Cl
Cl
H
Cl
H
Cl
H
Cl
H
H
H
Cl
R2
tBu
tBu
H
H
H
H
tBu
tBu
tBu
tBu
tBu
tBu
tBu
tBu
H
H
tBu
tBu
tBu
H
H
tBu
tBu
H
H
tBu
tBu
H
H
R3
4-Cl
4-CH(CH3)2
2-OH
3-OH
4-OH
2-OH-5-Cl
2-OH
3-OH
4-OH
2-OH-5-Cl
2-OH
3-OH
4-OH
2-OH-5-Cl
4-Cl-3-CH3
3-I-4-CH3
4-Cl-3-CH3
2-F
4-CF3
4-F
4-F
4-F
4-F
3-Cl
3-Cl
3-Cl
3-Cl
2-Cl-5-OH
2-Cl-5-OH
IC50 Ref.
43 d
52 d
66
f
2288
f
3322
f
8
f
205
f
431
f
314
f
465
f
435
f
262
f
43
f
105
f
595 h
51 h
190 h
69 h
184 h
480
i
384
i
524
i
103
i
290
i
262
i
47
i
103
i
722
i
624
i
No.
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
-
R1
H
Cl
Cl
H
Cl
H
H
H
H
H
Cl
Cl
Cl
Cl
Cl
H
H
H
H
Cl
Cl
Cl
Cl
Cl
Cl
H
Cl
H
-
R2
tBu
tBu
H
tBu
tBu
H
H
H
H
H
H
H
H
H
H
tBu
tBu
tBu
tBu
tBu
tBu
tBu
tBu
tBu
H
tBu
tBu
tBu
-
R3
IC50 Ref.
3,5-CF3
114
e
3,5-CF3
241
e
2,6-CH3
649
e
2,6-CH3
229
e
2,6-CH3
242
e
2-Cl-5-OH
722 g
4-F
480 g
2-CF3
376 g
3-CF3
130 g
4-CH3 1475 g
2-Cl-5-OH
624 g
4-F
384 g
2-CF3
557 g
3-CF3
229 g
4-CH3 1524 g
4-F
524 g
2-CF3
55 g
3-CF3
283 g
4-CH3
164 g
2-Cl-5-OH
625 g
4-F
103 g
2-CF3
205 g
3-CF3
173 g
4-CH3
73 g
2,4,6-CH3
495
j
2,4,6-CH3
434
j
2,4,6-CH3
195
j
4-COCH3
664
j
-
Table 1. IC50 values (in μmol dm-3) related to PET inhibition in spinach chloroplasts by
substituted pyrazinecarboxamides XIX (Ref. Doležal et al., 2006b(a), 2008a(b), 2001b(c), 2000(d),
2002(e), 1999(f), 2008b(g), 2007(h), 2004(i), 2001a(j)).
The compounds 1-18 inhibited PET in spinach chloroplasts; however the inhibitory activity
of the majority of these compounds was relatively low. The IC50 values varied in the range
from 42 to 1589 μmol dm-3, the most efficient inhibitors was 5-tert-butyl-6–chloro-N-(5bromo-2-hydroxyphenyl)-pyrazine-2-carboxamide (15, Table 1). The dependence of PETinhibiting activity of compounds 1-18 on the lipophilicity of the compounds (log P) is shown
in Fig. 6, A. Markedly lowered solubility of 4-6 as well as 17 due to insertion of two halogen
atoms (Br or Cl) in R3 substituent resulted in decreased inhibitory activity of these
compounds. Based on the dependence of PET-inhibiting activity on log P of the rest
compounds, these can be divided into two groups. In both groups increase of compound
activity with increasing lipophilicity can be observed. Thus, with the exception of
compounds 14 and 15 (R2 = 5-Br-2-OH) it can be assumed, that the introduction of lipophilic
593
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
R1 (Cl) and R2 (tert-butyl, tBu) substituents, respectively, can result in partial decrease of the
aqueous solubility and so in reduced inhibitory activity.
In other set of studied compounds 19-30, compound 25 exhibited very low activity due to its
low aqueous solubility (Table 1). As shown (Fig. 6, B), the PET-inhibiting activity of other
compounds from the set expressed as log (1/IC50) increased linearly with increasing
compound lipophilicity (log P). The most active compounds from the set were 5-tert-butyl6–chloro-N-(4-chlorophenyl)-pyrazine-2-carboxamide (29, IC50 = 43 μmol dm-3) and 5-tertbutyl-6–chloro-N-(4-isopropylphenyl)-pyrazine-2-carboxamide (30, IC50 = 52 μmol dm-3).
The inhibitory activity of the compounds 31-42 (Table 1) was affected not only by the
lipophilicity of the compounds but also by the value of Hammett’s constants of R3
substituents. Very low activity of compounds 32 and 33 was connected with their low
aqueous solubility. The most active compounds from this set were 6–chloro-N-(5-chloro-2hydroxyphenyl)-pyrazine-2-carboxamide (34, IC50 = 8 μmol dm-3) and 5-tert-butyl-6–chloroN-(4-hydroxyphenyl)-pyrazine-2-carboxamide (41, IC50 = 43 μmol dm-3), the activity of rest
compounds from the set varied between 66 (31) and 465 μmol dm-3 (38).
4.50
4.50
4.25
14
18
13
3.75
2
3.50
11
1
3.25
10
3.00
7
B
29
4.00
26
22
5
6
8
24
20
21
19
3.00
4
2.75
3.25
27
23
3.50
9 12
30
28
3.75
3
16
-3
4.00
log (1/IC50) [mol dm ]
-3]
4.25
log (1/IC50) [μmol dm
15
A
17
2.75
2.50
2
3
4
log P
5
6
2.5
3.0
3.5
4.0
4.5
5.0
5.5
log P
Fig. 6. The dependence of PET-inhibiting activity of compounds 1-18 (A) and compounds
19-30 (B) on the lipophilicity of the compounds (log P).
It was found that from the aspect of inhibitory activity it is much more favourable when on the
phenyl ring (R3 substituent) halogen atom occurs in meta and methyl moiety in para position
(44, IC50 = 51 μmol dm-3) in comparison with compound 43 where R3 =4-Cl-3-CH3 (IC50 = 595
μmol dm-3). However, the inhibitory activity of the above mentioned compound 43 can be
increased by introduction of tert-butyl substituent instead of H in R2 (45, IC50 =190 μmol dm-3).
The IC50 values related to PET-inhibiting activity of compounds 48-58 varied in the range
from 47.0 (54) to 722 μmol dm-3 (56). The inhibitory activity of majority of these compounds
was relatively low, the most efficient inhibitors were 5-tert-butyl-6–chloro-N-(4fluorophenyl)-pyrazine-2-carboxamide (51), N-(2-chloro-5-hydroxyphenyl)-pyrazine-2carboxamide (55, both IC50 = 103.0 µmol dm-3), and especially 5-tert-butyl-6–chloro-N-(3chlorophenyl)-pyrazine-2-carboxamide (54, IC50 = 47.0 µmol dm-3). Their log P values
calculated ranged between 3.28 and 4.18.
In the set of compounds 59-67 the PET-inhibiting activity of compounds 61, 62, 63, 66 and 67
(Fig. 7, A) expressed as log (1/IC50) showed a linear decrease with increasing values of
lipophilicity parameter (log P). On the other hand, the biological activity of compounds 59,
594
Herbicides, Theory and Applications
60, 64 and 65 was significantly lower and linear decrease of PET-inhibiting activity with
increasing log P values was less sharp indicating that the biological activity of compounds
59-67 depended both on the compound lipophilicity as well as on Hammett’s constants σ of
the substituent R2. The most active PET inhibitor from this set was found to be 2-(5-methylpyrazine-2-carboxamido)-benzoic acid (67, IC50 = 75.0 μmol dm-3) (Doležal et al., 2008a).
From the set of compounds 68-73 the most active inhibitors with comparable inhibitory
activity were compounds 5-tert-butyl-6–chloro-N-(3-chloro-4-hydroxyphenyl)-pyrazine-2carboxamide (70, IC50 = 44 μmol dm-3), 5-tert-butyl-6–chloro-N-(2-chlorophenyl)-pyrazine-2carboxamide (71, IC50 = 43 μmol dm-3) and N-(2-chlorophenyl)-pyrazine-2-carboxamide (73,
IC50 = 47 μmol dm-3).
5.0
A
-3
log (1/IC50) [mol dm ]
67
-3
4.2
4.0
3.8
63
66
3.6
61
64
3.4
3.2
65
60
3.0
log (1/IC50) [mol dm ]
4.4
62
59
85
B
4.5
81 83
4.0
78
80
79
84
82
3.5
75
77
89
3.0
86
76 90
87
88
74
2.5
2.0
2.8
0
1
2
log P
3
4
2
3
4
5
6
7
log P
Fig. 7. The dependence of PET-inhibiting activity of compounds 59-67 (A) and compounds
74-90 (B) on the lipophilicity of the compounds (log P).
In the set of compounds 74-90 the IC50 values related to PET inhibition varied in the range
from 26 (85) to 1072 μmol dm-3 (74), see Table 1. In general, the inhibitory activity of these
compounds depended on their lipophilicity showing a quasi-parabolic trend (Fig. 7, B).
However, the studied compounds could be divided into two groups. The compounds with
2-CH3 substituents on the phenyl ring (74, 75, 76, 88, 89 and 90, squares in Fig. 7, B) had
lower biological activity than the other investigated compounds with comparable log P
values. Consequently, it can be assumed that the methyl substituent in ortho position of the
benzene ring is disadvantageous from the viewpoint of interactions with the photosynthetic
apparatus. On the other hand, compound 85 (6–chloro-N-(3,5-trifluoro-methylphenyl)pyrazine-2-carboxamide) exhibited higher inhibitory activity than expected.
The majority of compounds 91-109 inhibited PET in spinach chloroplasts; however their
inhibitory activity was rather low. From the obtained results it can be concluded that the
activity depended on the lipophilicity and also on the electron accepting or withdrawing
power of R3 substituent(s). The most effective inhibitor was compound 102 (5-tert-butyl-N(2-trifluoromethylphenyl)-pyrazine-2-carboxamide, IC50 = 55 μmol dm-3). Among the three
most active compounds 102, 109 and 106 the optimal values of lipophilicity ranges from log
P = 4.02-4.41. On the other hand, for the group of compounds 105, 108 and 107 with the
highest lipophilicity, the PET-inhibiting activity showed a decrease with increasing
compound lipophilicity. The most effective inhibitor from the compounds with R3= 2,4,6-
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
595
CH3 was 5-tert-butyl-6–chloro-N-(2,4,6-methylphenyl)-pyrazine-2-carboxamide (112, IC50 =
195 μmol dm-3) (Doležal et al., 2001a).
3.1.3 Determination of the site of inhibitory action of N-phenylpyrazine-2carboxamides in the photosynthetic electron transport chain by electron
paramagnetic resonance spectroscopy and chlorophyll a fluorescence measurements
The site of inhibitory action of some N-phenylpyrazine-2-carboxamides XIX in the
photosynthetic electron transport chain was investigated using spinach (Spinacia oleracea L.)
chloroplasts. For this purpose electron paramagnetic resonance spectroscopy (EPR) and
measurement of chlorophyll a fluorescence were used.
Intact chloroplasts of algae and vascular plants exhibit EPR signals in the region of free
radicals (g = 2.00), which are stable during several hours (Hoff, 1979) and could be
registered at laboratory temperature by conventional continual wave EPR apparatus. These
signals were denoted as signal I (g = 2.0026, ΔBpp = 0.8 mT) and signal II (g = 2.0046, ΔBpp = 2
mT) indicating their connection with photosystem (PS) I and PS II, respectively (Weaver,
1968). Signal II consists from two components, namely signal IIslow which is observable in
the dark and signal IIvery fast which occurs at irradiation of chloroplasts by visible light and
represents intensity increase of signal II at irradiation of chloroplasts by the visible light. It
was found that signal IIslow belongs to the intermediate D• and signal IIvery fast belongs to the
intermediate Z•. Intermediates Z• and D• are tyrosine radicals which are situated at 161st
position in D1 and D2 proteins which are located on the donor side of PS II (Svensson et al.,
1991). The EPR signal I is associated with cation radical of chlorophyll a dimmer situated in
the core of PS I (Hoff, 1979).
Using EPR spectroscopy it has been found that the studied compounds XIX affect
predominantly the intensity of EPR signal II, mainly the intensity of its constituent signal
IIslow. As mentioned above, the signal IIslow is well observable in the dark (see Fig. 8, full line)
and it belongs to the D• intermediate, i.e. tyrosine (TyrD or YD) radical which is located on
the donor side of PS II in the 161st position in D2 protein (Svensson et al., 1991; see Fig 5).
From Fig. 8 it is evident that the intensity of signal IIslow has been decreased by the studied
compounds (see Fig. 8, B and C, full lines). That means that in the suspension of spinach
chloroplasts the 5-tert-butyl-6–chloro-N-(3-fluorophenyl)-pyrazine-2-carboxamide (68) and
5-tert-butyl-N-(3-hydroxy-4-chlorophenyl)-pyrazine-2-carboxamide (69) interact with the D•
intermediate. Due to this interaction of the studied anilides with this part of PS II, the
photosynthetic electron transport from the oxygen evolving complex to the reaction centre
of PS II is impaired. Consequently, the electron transport between PS II and PS I is inhibited
as well and a pronounced increase of signal I intensity in the light can be observed (see Fig.
8, B and C, dashed lines). The signal I (g = 2.0026, ΔBpp = 0.8 mT) belongs to the cation
radical of chlorophyll a dimmer in the reaction centre of PS I (Hoff, 1979).
Similar site of action in the photosynthetic apparatus of spinach chloroplasts was confirmed
for 2-alkylsulfanylpyridine-4-carbothioamides (Kráľová et al., 1997) and substituted
benzanilides and thiobenzanilides (Kráľová et al., 1999). From Fig. 8 it is evident that the
decrease of signal IIslow is greater in the presence of compound 69 (Fig. 8, B) than in presence
of compound 68 (Fig. 8, C). These results are in agreement with those obtained for OER
inhibition in spinach chloroplasts (Table 1, IC50 = 105 μmol dm-3 for 69 and 262 μmol dm-3
for 68).
596
Herbicides, Theory and Applications
1,5-Diphenylcarbazide (DPC) is an artificial electron donor acting in Z•/D• intermediate
(Jegerschöld & Styring, 1991). By addition of DPC to chloroplasts inhibited by PET inhibitors
the supply of electrons to P680 is secured. However, the complete restoration of the electron
transport to PS I occurs only in the case that photosynthetic electron transport chain
between Z•/D• and plastoquinone is not damaged. After addition of DPC to chloroplasts
inhibited by the studied anilides up to 70-80%, the OER in the suspension of spinach
chloroplasts was not completely restored. It was restored only up to 55-75% of the untreated
control sample what indicated that also some member of the photosynthetic electron
transport chain between Z•/D• intermediate and plastoquninone is partially damaged by
the studied compounds in the light (dashed lines).
Fig. 8. EPR spectra of the untreated spinach chloroplasts (A) and in the presence of 0.05 mol
dm-3 of 5-tert-butyl-N-(3-hydroxy-4-chlorophenyl)-pyrazine-2-carboxamide (69, B) and 5tert-butyl-6–chloro-N-(3-fluorophenyl)-pyrazine-2-carboxamide (68, C) registered in the
dark (full lines) and in the light (dashed lines). (Ref. Doležal et al., 2001a; reprinted with
permission of editor).
The effects of N-phenylpyrazine-2-carboxamides XIX on the photosynthetic centres of
spinach chloroplasts were investigated by studying chlorophyll a fluorescence. Fluorescence
emission spectra of spinach chloroplasts were recorded on fluorescence spectrophotometer
F-2000 (Hitachi, Japan) using excitation wavelength λex = 436 nm for monitoring
fluorescence of chlorophyll a and the samples were kept in the dark 10 min before
measuring (Doležal et al., 2001a). When chloroplasts were irradiated with the light of λex =
436 nm, an emission band with the maximum at λ = 686 nm was observed. This band
belongs to the pigment-protein complexes present mainly in photosystem II (Govindjee,
1995). It was found that chloroplasts treated with the studied compounds exhibited
quenching of the emission of Chl a molecules. Fig. 9 presents the dependence of F/Fcontr in
the suspension of spinach chloroplasts (Fcontr – fluorescence intensity at λ = 686 nm in the
control, F – fluorescence intensity at λ = 686 nm in the presence of the studied compound)
597
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
on the concentration of 5-tert-butyl-N-(3-hydroxy-4-chlorophenyl)-pyrazine-2-carboxamide
(69), 5-tert-butyl-6–chloro-N-(3-hydroxy-4-chlorophenyl)-pyrazine-2-carboxamide (70), 5tert-butyl-6–chloro-N-(2-chlorophenyl)-pyrazine-2-carboxamide (71), and 5-tert-butyl-(2chlorophenyl)-pyrazine-2-carboxamide (72). The greater is the fluorescence quenching, the
more efficient is the interaction of the inhibitor with pigment-protein complexes in
photosystem II. For the investigated compounds the intensity of this interaction showed a
decrease in the following order: 70 > 69 > 72 > 71 (Fig. 9).
1,10
1,05
1,00
F/Fcontr
0,95
0,90
0,85
0,80
0,75
0,70
0
20
40
60
80
100
c [μmol dm-3]
Fig. 9. Dependence of the fluorescence quenching on the concentration of 5-tert-butyl-6–
chloro-N-(3-hydroxy-4-chlorophenyl)-pyrazine-2-carboxamide (70, squares), 5-tert-butyl-N(3-hydroxy-4-chlorophenyl)-pyrazine-2-carboxamide (69, circles), 5-tert-butyl-(2chlorophenyl)-pyrazine-2-carboxamide (72, down triangles) and 5-tert-butyl-6–chloro-N-(2chlorophenyl)-pyrazine-2-carboxamide (71, up triangles) (Fcontr. = fluorescence of the
untreated suspension of spinach chloroplasts; F = fluorescence of anilide treated suspension
of spinach chloroplasts; λ = 686 nm). (Ref. Doležal et al., 2001a; reprinted with permission of
editor).
The most effective compounds (70 and 71) contained two Cl substituents in their molecules.
The results of fluorescence study obtained for compounds 70, 69 and 72 are in agreement
with those obtained for OER evolution in spinach chloroplasts (Table 1; IC50 = 44 (70), 105
(69) and 371 μmol dm-3 (72)). However, the fluorescence of the chloroplast suspension was
not affected by 5-tert-butyl-6–chloro-N-(2-chlorophenyl)-pyrazine-2-carboxamide (71) which
can be considered as relatively effective inhibitor of OER (IC50 = 43 μmol dm-3). This can be
explained with the decreased aqueous solubility of this compound. Whereas in the OER
experiments the investigated compounds were dissolved in dimethyl sulfoxide, in
fluorescence experiments ethanolic solutions were used and after evaporation of the solvent
the compound was dissolved directly in the aqueous chloroplast suspension. Consequently,
it can be assumed that the fluorescence was not affected due to insolubility of compound 71
598
Herbicides, Theory and Applications
in this suspension. The quenching of the fluorescence intensity at λ = 686 nm produced by
the studied compounds suggested PS II as the site of action of the studied compounds.
3.1.4 Inhibition of oxygen evolution rate in suspensions of Chlorella vulgaris by Nphenylpyrazine-2-carboxamides
The inhibition of oxygen evolution rate (OER) in the suspension of Chlorella vulgaris was
investigated with two model inhibitors (compounds 69 and 72). The dependences of OER
(expressed as the percentage of the untreated control sample) on the concentrations of
compounds 5-tert-butyl-N-(3-hydroxy-4-chlorophenyl)-pyrazine-2-carboxamide (69) and 5tert-butyl-N-(2-chlorophenyl)-pyrazine-2-carboxamide (72) are shown in Fig. 10. It is evident
that both investigated compounds inhibited OER in the suspension of Chlorella vulgaris
algae. Compound 69 was more effective inhibitor than compound 72 what is reflected in the
corresponding IC50 values (99 μmol dm-3 for 69 and 329 μmol dm-3 for 72). These results are
in good agreement with those obtained for inhibition of OER in spinach chloroplasts (Table
1). The introduction of hydroxyl moiety in compound 69 enhanced its photosynthesisinhibiting activity with respect to that of compound 72 approximately threefold.
140
% of control
120
100
80
60
40
20
0
3,5
4,0
4,5
5,0
- log c [mol dm-3]
5,5
Fig. 10. Dependence of OER in the suspension of Chlorella vulgaris (expressed as the
percentage of the control) on the concentration of 5-tert-butyl-N-(2-chlorophenyl)-pyrazine2-carboxamide (72, triangles) and 5-tert-butyl-N-(3-hydroxy-4-chlorophenyl)-pyrazine-2carboxamide (69, circles). (Ref. Doležal et al., 2001a; reprinted with permission of editor).
3.1.5 Reduction of chlorophyll content in Chlorella vulgaris by N-phenylpyrazine-2carboxamides
Toxic effects of environmental pollutants on algae which are essential components of
aquatic ecosystems can directly affect the structure and function of ecosystem (Campanella
et al., 2000). Herbicides can alter species composition of an algal community what could
result in modified structure and function of aquatic communities. Ma et al. (2000) examined
the effects of 40 herbicides (belonging to 18 different chemical classes with nine different
modes of action) on the green alga Raphidocelis subcapitata (formerly named Selenastrum
capricornutum) and found that the highest acute toxicity exhibited herbicides acting as
photosynthesis inhibitors. Photosynthetic pigments have often been used as biomarkers of
exposure to different classes of herbicides in autotrophic plants including algae (Blaise, 1993;
599
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
Sandmann, 1993). The inhibitory effectiveness of some substituted pyrazinecarboxamides
related to reduction of chlorophyll content in Chlorella vulgaris expressed by IC50 values is
summarized in Table 2. The dependence of log (1/IC50) on the compound lipophilicity (log
P) showed a quasi-parabolic course (Fig. 11).
No.
43
44
45
79
84
85
86
87
88
95
97
100
102
R2
H
H
tBu
tBu
tBu
H
tBu
tBu
H
H
H
H
tBu
R1
Cl
Cl
H
Cl
Cl
Cl
H
Cl
Cl
H
Cl
Cl
H
R3
4-Cl-3-CH3
3-I-4-CH3
4-Cl-3-CH3
3-CH3
3-Br
3,5-CF3
3,5-CF3
3,5-CF3
2,6-CH3
4-CH3
4-F
4-CH3
2-CF3
IC50
80
44
89
63
67
125
208
356
79
71
32
37
33
Ref.
h
h
h
e
e
e
e
e
e
b
b
b
b
Table 2. IC50 values (in μmol dm-3) related to reduction of chlorophyll content in Chlorella
vulgaris of some substituted pyrazinecarboxamides XIX. Cultivation conditions: 7 days;
photoperiod 16 h light/8 h dark; photosynthetic active radiation 80 μmol m-2 s-1; pH = 7.2;
Chl content in the suspensions at the beginning of the cultivation was 0.01 mg dm-3. (Ref.
Doležal et al., 2007(h), 2002(e), 2008a(b)).
-3
log (1/IC50) [mol dm ]
5.00
4.75
97
100
4.50
95
4.25
102
44
79
84
4.00
43
88
45
85
3.75
86
3.50
87
3.25
3.00
1
2
3
4
5
6
7
log P
Fig. 11. The dependence of antialgal activity expressed as log (1/IC50) on the lipophilicity
(log P) of some substituted pyrazinecarboxamides XIX.
However, differences in IC50 values of compounds with comparable lipophilicity indicate
that the biological activity is affected beside of lipophilicity also by the electronic properties
600
Herbicides, Theory and Applications
of R3 substituent(s). Because of too low aqueous solubility of many compounds from the
tested set of pyrazinecarboxamides XIX the compounds fall out during experiment (7 days)
and the corresponding IC50 values could be determined only for limited number of
compounds.
4. Photosynthesis-inhibiting pyrazine analogues of chalcones
Chalcones and related compounds "chalconoids" are aromatic ketones containing two
aromatic rings linked with three carbon chain. The presence of an unsaturated double
bound is typical for chalcones. Hence, chalcones are 1,3-diarylprop-2-ones. They show
antibacterial, antifungal, antitumor and anti-inflammatory properties (Dimmock et al.,
1999). The aim of our project was the isosteric replacement of a phenyl moiety in chalcones
with the pyrazine ring to form some pyrazine analogues of chalcones (“diazachalcones”).
Several series (thirty two compounds) of ring substituted (E)-3-phenyl-1-(pyrazin-2-yl)prop-2-en-1-ones XX (Fig. 12) were prepared in our laboratories by means of modified
Claisen–Schmidt condensation of acetylpyrazines with aromatic aldehydes (Opletalová et
al., 2002, Opletalová et al., 2006, Chlupáčová et al., 2005).
O
N
R2
R1
N
XX
Fig. 12. Pyrazine analogues of chalcones XX (R1 = H, alkyl; R2 = OH, NO2, Cl).
Ring substituted (E)-3-phenyl-1-(pyrazin-2-yl)-prop-2-en-1-ones XX were tested for their
activity related to OER inhibition in spinach chloroplasts and Chlorella vulgaris as well as
reduction of chlorophyll content in statically cultured suspensions of freshwater alga
Chlorella vulgaris. The corresponding IC50 values are summarized in Tables 3 and 4.
No.
R1
R2
114
115
116
117
118
119
120
121
tBu
isoBu
nBu
nPro
tBu
isoBu
nBu
nPro
2-OH
2-OH
2-OH
2-OH
4-OH
4-OH
4-OH
4-OH
OER inhibition/IC50
S. oleracea
C. vulgaris
167
78
144
63
184
147
187
100
315
279
235
232
306
265
399
514
Table 3. IC50 values (in μmol dm-3) related to OER inhibition in spinach chloroplasts and
Chlorella vulgaris by diazachalcones XX. (Ref. Opletalová et al., 2002).
601
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
The inhibition of OER in spinach chloroplasts by substituted diazachalcones XX (114-121)
(Fig. 12) has been investigated spectrophotometrically, using DCPIP as an electron acceptor
(Kráľová et al., 1992). For the study of OER inhibition in the algal suspensions a Clark type
electrode has been used. The IC50 values of compounds 114-121 related to OER inhibition
varied in the range of 144-399 μmol dm-3 for spinach chloroplasts) and 63-514 μmol dm-3 for
algal suspension of Chlorella vulgaris (Table 3). 2-Hydroxy substituted derivatives were
found to be more effective inhibitors of photosynthesis than the 4-hydroxy substituted ones.
The inhibitory activity of 2-hydroxy substituted derivatives was affected also by the
branching of R1 substituent: OER inhibition in photosynthesizing organisms by the isomers
with branched alkyl chain (tert-butyl, isobutyl) was more pronounced than by the isomer
with unbranched alkyl substituent (n-butyl) (Opletalová et al., 2002).
No.
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
R1
H
tBu
isoBu
nBu
nPro
H
tBu
isoBu
nBu
nPro
H
tBu
isoBu
nBu
nPro
H
tBu
isoBu
nBu
nPro
H
tBu
isoBu
nBu
R2
2-NO2
2-NO2
2-NO2
2-NO2
2-NO2
3-NO2
3-NO2
3-NO2
3-NO2
3-NO2
4-NO2
4-NO2
4-NO2
4-NO2
4-NO2
3-OH
3-OH
3-OH
3-OH
3-OH
4-Cl
4-Cl
4-Cl
4-Cl
PET
inhibition
S. oleracea
ND
325.0
ND
393.0
ND
658.0
461.0
340.0
236.0
ND
ND
ND
ND
706.0
ND
877.0
105.0
256.0
ND
ND
ND
181.0
246.0
374.0
IC50
Chl. content
reduction
C. vulgaris
70.6
ND
118.0
585.0
123.0
19.6
ND
62.8
ND
18.6
44.9
ND
ND
ND
238.3
32.5
238.3
65.5
95.9
69.9
24.5
ND
ND
ND
Ref.
k
k
k
k
k
k
k
k
k
k
k
k
k
k
k
l
l
l
l
l
l
l
l
l
Table 4. IC50 values (in μmol dm-3) related to PET inhibition in spinach chloroplasts and IC50
values (in μmol dm-3) related to reduction of chlorophyll content in statically cultivated
Chlorella vulgaris determined for diazachalcones XX. (Ref. Opletalová et al., 2006(k),
Chlupáčová et al., 2005(l)), ND – not determined.
602
Herbicides, Theory and Applications
The effects of substituted diazachalcones XX (114-121) on the photosynthetic centres of
chloroplasts were investigated by studying chlorophyll a fluorescence. The decreased
intensity of the emission band at 686 nm, belonging to the pigment-protein complexes in
photosystem (PS) II, suggested PS II as the site of action of the studied compounds (Kráľová
et al., 1998).
Using EPR spectroscopy it has been found that in spinach chloroplasts the intensity of EPR
signal II, mainly the intensity of its constituent signal IIslow, showed a decrease by the
studied compounds 114-121. Consequently it can be concluded that the studied compounds,
similarly to N-phenylpyrazine-2-carboxamides (Doležal et al., 2001a), interact with D•
intermediate, i.e. with the tyrosine radical in 161st position (TyrD; YD) which is located in D2
protein on the donor side of PS II (Fig. 5). Due to interaction of the studied compounds with
D• intermediate PET from the oxygen evolving complex to the core of PS II is impaired. A
pronounced increase of EPR signal I intensity in the light belonging to the cation-radical of
chlorophyll a dimmer in the core of PS I indicated that the electron transport between PS II and
PS I is inhibited as well. However, addition of DPC to chloroplasts inhibited by the studied
compounds completely restored the reduction of DCPIP indicating that the core of PS II (P680)
and a part of the electron transport chain - at least up to plastoquinone - remained intact. These
results are in accordance with those obtained with 2-alkylsulfanylpyridine-4-carbothioamides
(Kráľová et al., 1997). Similar study with anilides of 2-alkylpyridine-4-carboxylic acids has
shown that also the core of PS II was partially impaired by these inhibitors of photosynthetic
electron transport (Kráľová et al., 1998a). On the other hand, after addition of DPC to
chloroplasts inhibited by the studied N-phenylpyrazine-2-carboxamides 68 and 69 up to 7080%, the OER in the suspension of spinach chloroplasts was restored only up to 55-75% of the
untreated control sample indicating that also some member of the photosynthetic electron
transport chain between Z•/D• and plastoquininone was partially damaged by the these
compounds (Doležal et al., 2001a).
In general, in the series of diazachalcones 122-145 the most effective reduction of chlorophyll
content in the suspensions of C. vulgaris showed compounds with R1 = H (Table 4): 127 (R2 =
3-NO2; IC50 = 19.6 μmol dm-3), 142 (R2 = 4-Cl; IC50 = 24.5 μmol dm-3), 137 (R2 = 3-OH; IC50 =
32.5 μmol dm-3), 132 (R2 = 4-NO2; IC50 = 44.9 μmol dm-3) and 122 (R2 = 2-NO2; IC50 = 70.6
μmol dm-3). However, the highest anti-algal activity from this series showed compound 131
(R1 = CH3CH2CH2, R2 = 3-NO2; IC50 = 18.6 μmol dm-3). On the other hand, the most effective
inhibitors of PET in spinach chloroplasts were found to be two compounds with R1 =
C(CH3)3, namely 138 (R2 = 3-OH; IC50 = 105 μmol dm-3) and 143 (R2 = 4-Cl; IC50 = 181 μmol
dm-3) whereby IC50 values for several compounds could not be determined due to too low
solubility of these compounds.
5. Conclusion
Pyrazines are a class of compounds that occur almost ubiquitously in nature. The
worldwide distribution of pyrazines in plants, insects, terrestrial vertebrates, marine
organisms, fungi and bacteria, their specific properties, including their using as drugs,
fungicides and herbicides invite reasonable attention. Our review brings the basic
information about some commercially produced pyrazine herbicides including their
mechanism of action as well as survey of patented herbicidal pyrazine derivatives. Special
attention was paid to the original compounds from series of 113 substituted N-
Synthesis and Evaluation of Pyrazine Derivatives with Herbicidal Activity
603
phenylpyrazine-2-carboxamides XIX and 32 diazachalcones XX prepared and evaluated in
our laboratories. In first series, pyrazinecarboxamides XIX connected via –CONH– bridge
with substituted anilines can form centrosymmetric dimer pairs with the peptidic
carboxamido group of some peptides, needed for binding to the receptor site, possibly by
formation of hydrogen bonds. All compounds were tested as potential inhibitors of the
photosynthetic electron transport in spinach chloroplasts. Based on the obtained results it
could be assumed that the biological activity of the studied substituted
pyrazinecarboxamides did not depend exclusively on the compound lipophilicity but it was
also affected by electron accepting or withdrawing power of the substituents on the
aromatic benzene ring. The site of action of some substituted N-phenylpyrazine-2carboxamides XIX in the photosynthetic apparatus of spinach chloroplasts was studied
using fluorescence and EPR spectroscopy. It was found that the studied compounds cause
quenching of the chlorophyll a fluorescence at 685 nm belonging mainly to the pigment—
protein complexes in photosystem (PS) II. The extent of the fluorescence quenching
correlated with the effectiveness of the compounds concerning inhibition of oxygen
evolution rate (OER) in spinach chloroplasts. Using EPR spectroscopy it was confirmed that
the title compounds interact with the intermediate D• (TyrD), i.e. with the tyrosine radical,
which is situated on the donor side of PS II at the 161th position of D2 protein. It was found
that the studied compounds inhibit OER not only in the suspension of spinach chloroplasts
but also in the suspensions of Chlorella vulgaris. Introducing of Cl substituents into aromatic
ring as well as pyrazine moiety of the studied molecules enhanced the effectiveness of
OER—inhibiting activity. Some N-phenylpyrazine-2-carboxamides XIX reduced chlorophyll
content in Chlorella vulgaris whereby their biological activity was affected beside of
lipophilicity also by the electronic properties of R3 substituent(s). The most effective
inhibitor from the series XIX was 6–chloro-N-(5-chloro-2-hydroxyphenyl)-pyrazine-2carboxamide (34, IC50 = 8 μmol dm-3; Doležal, 1999).
The studied pyrazine analogues of chalcones, diazachalcones XX also reduced the rate of
oxygen evolution in spinach chloroplasts and C. vulgaris, whereby the inhibitory activity of
ortho-hydroxyl substituted derivatives XX was greater than that of para-hydroxyl substituted
ones. The lowest IC50 values were found with compounds having a branched alkyl group on
the pyrazine ring. The photosynthesis-inhibiting activity of nitro derivatives was lower than
that of the corresponding hydroxylated analogs. In general, in the series of diazachalcones
with R2 = 2-NO2; 3-NO2; 4-NO2; 3-OH and 4-Cl, the most effective reduction of chlorophyll
content in the suspensions of C. vulgaris showed compounds with R1 = H. It was confirmed
that studied diazachalcones interact with D• intermediate, i.e. with the tyrosine radical in
161st position (TyrD) which is located in D2 protein on the donor side of PS II and that they
do not damage the core of PS II (P680) and a part of the electron transport chain - at least up
to plastoquinone.
6. Acknowledgments
We dedicate the present article to Assoc. Prof. Jiří Hartl, former leader of our research team.
Thanks to all our colleague and numerous graduate and undergraduate students who
participated on the synthesis of biologically active pyrazines. The work was partly
supported by the Ministry of Education of the Czech Republic (MSM002160822) and Sanofi
Aventis Pharma Slovakia.
604
Herbicides, Theory and Applications
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