Literature DB >> 34498809

Species prevalence and plant traits discriminate between herbicide resistant and susceptible weeds.

Philip E Hulme1, Wenting Liu1.   

Abstract

BACKGROUND: Herbicide resistant weeds pose one of the most significant global challenges to sustainable food and fiber production. Plant traits are assumed to play a significant role in determining whether a weed is likely to evolve herbicide resistance but there have been few quantitative assessments to date. There is therefore an urgent need to investigate both the demographic and evolutionary characteristics of weeds to predict which weed species are likely to evolve herbicide resistance. Here, the discriminatory power of multiple plant traits was examined by comparing herbicide resistant and herbicide susceptible weeds in the United States.
RESULTS: Despite the taxonomic and agronomic similarity of herbicide resistant and susceptible weeds in the United States, differences between these groups were captured by a relatively small set of explanatory variables. Herbicide resistant weeds were found across more states than susceptible species and this suggests widespread weeds also happen to be more problematic in crops and therefore specifically targeted for weed control. In terms of traits, herbicide resistant species were more likely to be outcrossing, have unisexual flowers and be wind pollinated as well as have larger chromosome numbers and seed size than herbicide susceptible weeds.
CONCLUSIONS: A trait-based approach to understanding herbicide resistance confirms many assumptions as to the genetic attributes that make a weed more likely to evolve herbicide resistance. Scope therefore exists to build better risk assessment tools to identify future herbicide resistance hazards by incorporating plant traits, environmental tolerances, and evidence of herbicide resistance elsewhere in the world.
© 2021 Society of Chemical Industry. © 2021 Society of Chemical Industry.

Entities:  

Keywords:  agriculture; biosecurity; boosted regression tree; breeding system; crop; invasive alien species

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Year:  2021        PMID: 34498809     DOI: 10.1002/ps.6636

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


  2 in total

1.  Hierarchical cluster analysis of herbicide modes of action reveals distinct classes of multiple resistance in weeds.

Authors:  Philip E Hulme
Journal:  Pest Manag Sci       Date:  2021-12-17       Impact factor: 4.462

2.  Global drivers of herbicide-resistant weed richness in major cereal crops worldwide.

Authors:  Philip E Hulme
Journal:  Pest Manag Sci       Date:  2022-02-02       Impact factor: 4.462

  2 in total

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