Literature DB >> 26751723

Choosing the best cropping systems to target pleiotropic effects when managing single-gene herbicide resistance in grass weeds. A blackgrass simulation study.

Nathalie Colbach1, Bruno Chauvel1, Henri Darmency1, Christophe Délye1, Valérie Le Corre1.   

Abstract

BACKGROUND: Managing herbicide-resistant weeds is becoming increasingly difficult. Here we adapted the weed dynamics model AlomySys to account for experimentally measured fitness costs linked to mutants of target-site resistance to acetyl-coenzyme A carboxylase (ACCase)-inhibiting herbicides in Alopecurus myosuroides. We ran simulations to test how effectively cultural practices manage resistance.
RESULTS: Simulations of an oilseed rape/winter wheat/winter barley rotation showed that, when replacing one of the seven applied herbicides with an ACCase-inhibiting one, resistant mutants exceeded 1 plant m(-2) , with a probability of 40%, after an average of 18 years. This threshold was always exceeded when three or four ACCase-inhibiting herbicides were used, after an average of 8 and 6 years respectively. With reduced herbicide rates or suboptimal spraying conditions, resistance occurred 1-3 years earlier in 50% of simulations. Adding spring pea to the rotation or yearly mouldboard ploughing delayed resistance indefinitely in 90 and 60% of simulations respectively. Ploughing also modified the genetic composition of the resistant population by selecting a previously rare mutant that presented improved pre-emergent growth. The prevalence of the mutations was influenced more by their associated fitness cost or benefit than by the number of ACCase-inhibiting herbicides to which they conferred resistance.
CONCLUSION: Simulations allowed us to rank weed management practices and suggest that pleiotropic effects are extremely important for understanding the frequency of herbicide resistance in the population.
© 2016 Society of Chemical Industry. © 2016 Society of Chemical Industry.

Entities:  

Keywords:  Alopecurus myosuroides; cropping system; herbicide; model; selection pressure; target-site resistance; weed

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Year:  2016        PMID: 26751723     DOI: 10.1002/ps.4230

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  3 in total

1.  Simulating changes in cropping practices in conventional and glyphosate-resistant maize. II. Weed impacts on crop production and biodiversity.

Authors:  Nathalie Colbach; Henri Darmency; Alice Fernier; Sylvie Granger; Valérie Le Corre; Antoine Messéan
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-06       Impact factor: 4.223

2.  Alterations in Life-History Associated With Non-target-site Herbicide Resistance in Alopecurus myosuroides.

Authors:  David Comont; Craig Knight; Laura Crook; Richard Hull; Roland Beffa; Paul Neve
Journal:  Front Plant Sci       Date:  2019-06-26       Impact factor: 5.753

Review 3.  Fitness of Herbicide-Resistant Weeds: Current Knowledge and Implications for Management.

Authors:  Martin M Vila-Aiub
Journal:  Plants (Basel)       Date:  2019-11-01
  3 in total

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