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Updated: Mar 2, 2026

Protocols for Robust Herbicide Resistance Testing in Different Weed Species
Published on: July 2, 2015
Relationship between weed dormancy and herbicide rotations: implications in resistance evolution.
Henri Darmency1, Nathalie Colbach1, Valérie Le Corre1
1Agroécologie, AgroSup Dijon, INRA, Univ. Bourgogne Franche-Comté, Dijon, France.
Herbicide resistance in crops may be linked to delayed seed germination. Rotating herbicide types might select for seeds with increased dormancy, impacting weed management strategies and resistance evolution.
Area of Science:
- Agricultural Science
- Plant Biology
- Ecology
Background:
- Herbicide resistance is a growing concern in agriculture.
- Seed dormancy and germination dynamics can influence weed population shifts.
- Management strategies like herbicide rotation aim to mitigate resistance evolution.
Purpose of the Study:
- To review existing literature on seed dormancy and germination in herbicide-resistant versus susceptible plants.
- To explore the potential link between herbicide resistance and modified seed dormancy.
- To discuss implications for weed management and resistance evolution.
Main Methods:
- Literature review of studies comparing seed dormancy and germination in herbicide-resistant and susceptible plant populations.
- Analysis of potential pleiotropic effects of resistance genes on dormancy.
- Inclusion of a model simulation demonstrating the impact of genetic diversity in dormancy on cropping systems.
Main Results:
- A potential association exists between selection for late-germinating seeds and herbicide resistance.
- Increased seed dormancy and delayed germination may be linked to resistance to ACCase inhibitors, but not other herbicide classes.
- Few comparative studies exist due to challenges in maintaining similar genetic backgrounds.
Conclusions:
- Modified seed dormancy can influence the effectiveness of herbicide rotation strategies.
- Further research is needed to understand the complex interactions between herbicide resistance, seed dormancy, and cropping systems.
- Accurate mechanistic modeling and long-term field validation are recommended for predicting and managing herbicide resistance.
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