Effect of water deficit stress on benzoylprop-ethyl performance and physiological traits of winter wild oat (Avena sterilis subsp. ludoviciana)

Alizade, Saeid; Keshtkar, Eshagh; Mokhtasi-Bidgoli, Ali; Sasanfar, Hamidreza; Streibig, J. C.

doi:10.1016/j.cropro.2020.105292

Cited by 10 publications

(7 citation statements)

References 27 publications

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“…Even in the same greenhouse, the ED 50 of benzoylprop‐ethyl on A. sterilis subsp . ludoviciana differed when the experiments were carried out on plants at the same growth stage (one‐ to two‐tillering stage) with an interval between the two experiments of just 2 weeks 45 . Different statistical methods, including meta‐analysis and linear mixed‐effects models, have been used and suggested to obtain generalized estimates across these multiple experiments 5,46–48 .…”

Section: Averaging the Parameters Across Dose–response Curvesmentioning

confidence: 99%

“…ludoviciana differed when the experiments were carried out on plants at the same growth stage (one-to two-tillering stage) with an interval between the two experiments of just 2 weeks. 45 Different statistical methods, including meta-analysis and linear mixed-effects models, have been used and suggested to obtain generalized estimates across these multiple experiments. 5,[46][47][48] When the total number of dose-response experiments is two, it has been suggested that the linear mixed-effects model approach is used, while in case of more than two experiments a meta-analysis approach is preferred for averaging the parameters across the experiments.…”

Section: Averaging the Parameters Across Dose-response Curvesmentioning

confidence: 99%

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Perspective: common errors in dose–response analysis and how to avoid them

Keshtkar

Kudsk

Mesgaran

2021

Pest Management Science

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Dose–response experiments are conducted to determine the toxicity of chemicals on organisms. The relationship between dose and response is described by different statistical models. The four‐parameter log‐logistic model is widely used in pesticide sciences to derive biologically relevant parameters such as ED50 and resistance index (RI). However, there are some common errors associated with the calculation of ED50 and RI that can lead to erroneous conclusions. Here we discuss five common errors and propose guidance to avoid them. We suggest (i) all response curves must be fitted simultaneously to allow for proper comparison of parameters across curves, (ii) in the case of nonparallel curves absolute ED50 must be used instead of relative ED50, (iii) standard errors or confidence intervals of the parameters must be reported, (iv) the e parameter in asymmetrical models is not equal to ED50 and hence absolute ED50 must be estimated, and (v) when the four‐parameter log‐logistic model returns a negative value for the lower asymptote, which is biologically meaningless in most cases, the model should be reduced to its three‐parameter version or other types of model should be applied. The mixed‐effects model and the meta‐analytic approach are suggested as appropriate to average the parameters across repeated dose–response experiments. © 2021 Society of Chemical Industry

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Section: Averaging the Parameters Across Dose–response Curvesmentioning

confidence: 99%

Section: Averaging the Parameters Across Dose-response Curvesmentioning

confidence: 99%

Perspective: common errors in dose–response analysis and how to avoid them

Keshtkar

Kudsk

Mesgaran

2021

Pest Management Science

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“…One of more signifi cant consequences of global warming, affecting the performance of agricultural crops and effi ciency of the measures in protecting the fi elds from weeds, is the increase in the frequency and duration of droughts during the vegetation period (Roeckner E, 1992). It is well known that the phytotoxic action of many classes of herbicides, including ACCase inhibitors, decreases under drought (West LD et al, 1980;Dickson RL et al, 1990;Kells JJ et al, 1984;Boydston RA, 1991Rossi F et al, 1993;Collings LV et al, 2003;Shekoofa A et al, 2020;Alizade S et al, 2020). No signifi cant differences were found in accumulation, absorption, translocation, and metabolism of ACCase inhibitors in plants under drought and without the latter (Coupland D, 1989;Kells JJ et al, 1984;Kidder DW and Behrens R, 1988;Boydston RA, 1992).…”

Section: The Role Of Stress In Determining the Effect Of Environmenta...mentioning

confidence: 99%

“…However, while combining herbicides, the effi ciency of controlling weeds using herbicides may decrease due to both global climatic changes (Amare T, 2016;Varanasi A et al, 2016) and the stress response of plants (Radchenko MP et al, 2013a. The decrease in the phytotoxicity of herbicides under drought requires adjusting agrotechnologies and technologies of protecting fi elds from weeds (Varanasi А et al, 2016), for instance, using irrigation or changes in the periods of herbicidal treatment (Alizade S et al, 2020).…”

Section: The Protection From Oxidative Damages As a Component Of Non-...mentioning

confidence: 99%

Stress and use of herbicides in field crops

et al. 2021

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When herbicides are combined under natural conditions or applied in stress conditions (drought, for instance), the efficiency of their action may decrease which results in considerable yield losses. The reason thereto is that another herbicide or stressor can trigger the adaptation mechanism in weed plants, and they survive, resulting in weed infestation. In particular, it applies to such herbicides as acetyl-CoA-carboxylase inhibitors or so- called graminicides, which are effective only for grass weeds control. The efficiency of this groups of herbi- cides is heavily dependent on the environment and often decreases when combined with herbicides, efficient against dicotyledon weeds. It turns out that this occurs due to the fact their final phytotoxicity is not determined at the level of the site of action (herbicide target) but depends on the stage of herbicide-induced pathogenesis – processes, occurring due to the interaction between the herbicide and its site of action. The stress response of the weeds may make its contribution into herbicide-induced pathogenesis. Plants are known to respond to the action of various abiotic stressors in the form of non-specific stress response and depending on the intensity and duration of the stressor’s action, a plant either adapts or dies. At present there are sufficient data, demonstrating that programmed cell death (PCD) is involved in the herbicide-induced pathogenesis. Reactive oxygen species (ROS) induce PCD in specific classes of herbicides. The participation of ROS and PCD in herbicide-induced pathogenesis allows for targeted effects on the phytotoxic action of herbicides, for instance, via combined application of herbicides with possible PCD inducers and prooxidants. The confirmation of the role of non- specific response in the development of phytotoxic action of herbicides is found in the phenomena of cross- adaptation (activation of antioxidant defense) and cross-synergism (activation of oxidative stress) under the application of herbicides. Based on our own research and literature data, the importance of cross-adaptation and cross-synergism in applying herbicides in drought conditions and to determine the nature of the interac- tion in herbicide complexes is discussed. In particular, the review discusses the reduction of phytotoxicity of the ACCase herbicides due to the phenomenon of cross-adaptation in drought conditions and in combination with herbicides, which are acetolactate synthase inhibitors. The results of investigations were presented about the reduction of antagonism in the mixtures of herbicides, which are ACCase and ALS inhibitors, because of the use of substances with prooxidant properties, as well as the inhibitor of the antioxidant enzyme superoxide dismutase. On the other hand, we analyzed the possibility of increasing the phytotoxic effect of herbicides, ACCase inhibitors, in combination with herbicides with prooxidant properties – inhibitors of electron transport in Photosystem 2 (FS 2) chloroplasts and protoporphyrinogen oxidase (PROTOX) inhibitors. It became the foundation for the elaboration of efficient herbicide compositions for wheat and onion fields. While combining herbicides, the issue of synergism is becoming relevant due to the problem of the spread of target-site resis- tance, since, to prevent this type of resistance, it is necessary to combine herbicides with different mechanisms of phytotoxicity. The presented data demonstrate that the increased activity of antioxidant defense systems, which is the result of a long process of evolutionary adaptation of weeds to the action of abiotic stressors, is an element of non-target-site-based resistance to herbicides. Possible ways to prevent the negative impact of non-specific stress response on the efficiency of herbicides, as well as the prospects of the chemical method of weeds control are discussed.

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“…Water deficit and the consequent physiological changes, can reduce herbicide efficiency by changing the amount and composition of epicuticular waxes in leaves (Hatterman-Valentti et al 2011;Willick et al 2017;Trezzi et al 2020) and/or by reducing herbicide uptake and translocation (Alizade et al 2020;Santos et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Control of Ipomoea grandifolia and antioxidant enzyme activity with bentazon and glyphosate at times and soil water conditions

Salomão¹,

Trezzi²,

Pagnoncelli³

et al. 2021

Commun. Plant. Sci.

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Weed management with herbicides requires favorable environmental conditions, that maximize efficiency, such as soil humidity and timing of application. The aim of this study was to assess the effect of the application timing of bentazon and glyphosate herbicides on the control and activity of antioxidant enzymes in Ipomoea grandifolia, under different conditions of soil water availability. Two experiments, one for each herbicide (bentazon and glyphosate), were conducted in a factorial design with four replicates. The first factor was the two rates of each herbicide (504 and 720 g i.a. ha -1 of bentazon and 651 and 911.4 g i.a. ha -1 of glyphosate). The second factor was the six application times (1 am; 5 am; 9 am; 1 pm; 5 pm and 9 pm). The third factor, soil water content (100% and 50% of field capacity). Plus, two controls without herbicide application. At 21 days after application (DAA) of bentazon and 28 DAA of glyphosate, the fresh mass of the aboveground plants was measured. In addition, the activities of the enzymes superoxide dismutase (SOD), catalase (CAT) and peroxidase (POX) were determined. For plants under water restriction, an increase of approximately 20% in fresh mass was observed compared in plants without water restriction, indicating lower control efficiency under water stress condition. For bentazon, at 1 pm has been observed the lowest herbicide efficiency, the other times were the most efficient, and did not differ. For glyphosate, the application at 9 am was the most efficient, while at 1 am provided the worst control efficiency. Higher CAT and SOD activities after bentazon application were observed at 1 pm. Among the three enzymes evaluated, SOD presented the highest activity after glyphosate application. Generally, the times of the day with the highest peak of enzymatic activity were distinct between with and without water restriction. Highlighted Conclusions1. Water restriction reduces the efficiency of bentazon and glyphosate. 2. Better efficiency for bentazon was observed at 1 am, 5 am, 9 am, 5 pm and 9 pm. 3. Better efficiency for glyphosate was observed at 9 am.

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Effect of water deficit stress on benzoylprop-ethyl performance and physiological traits of winter wild oat (Avena sterilis subsp. ludoviciana)

Cited by 10 publications

References 27 publications

Perspective: common errors in dose–response analysis and how to avoid them

Perspective: common errors in dose–response analysis and how to avoid them

Stress and use of herbicides in field crops

Control of Ipomoea grandifolia and antioxidant enzyme activity with bentazon and glyphosate at times and soil water conditions

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