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Protocols for Robust Herbicide Resistance Testing in Different Weed Species
Published on: July 2, 2015
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Patterns of herbicide resistance in Raphanus raphanistrum revealed by comprehensive testing and statistical analysis
Roberto Busi1, Ken Flower1, Danica Goggin1
1Australian Herbicide Resistance Initiative, School of Agriculture and Environment, University of Western Australia, Perth, WA, Australia.
Pest Management Science
|September 4, 2024
Summary
Herbicide resistance in Raphanus raphanistrum causes significant crop losses. Mixtures of herbicides with multiple modes of action effectively control resistant populations, offering a viable management strategy.
Area of Science:
- Agricultural Science
- Plant Science
- Weed Science
Background:
- Raphanus raphanistrum poses a significant economic threat, causing an estimated $40 million in annual revenue losses in Western Australia.
- This weed species exhibits a documented history of evolving resistance to multiple herbicide modes of action.
- Understanding the extent and patterns of herbicide resistance in R. raphanistrum is crucial for effective crop management.
Purpose of the Study:
- To assess the level of herbicide resistance in 376 field-sampled populations of Raphanus raphanistrum.
- To evaluate the efficacy of 21 individual herbicides and eight herbicide mixtures with multiple modes of action against R. raphanistrum.
- To identify effective herbicide strategies for managing herbicide-resistant R. raphanistrum.
Main Methods:
- Screened approximately 104,000 individual seeds and seedlings across 7,199 resistance tests over four years.
- Tested resistance to 21 herbicides applied at recommended label rates.
- Evaluated the impact of herbicide mixtures containing two, three, or four modes of action on weed survival.
Main Results:
- Mean individual survival in populations treated with standalone herbicides was 9%, significantly reduced to 3.5% with herbicide mixtures.
- High frequencies of resistance (>50%) were observed for triasulfuron (Group 2), 2,4-D (Group 4), and diflufenican (Group 12).
- Negligible resistance was found for glyphosate (Group 9), protoporphyrinogen oxidase (PPO) inhibitors (Group 14), and pre-emergence herbicides (Groups 5 and 27).
- Binary, ternary, and quaternary mixtures of specific herbicide groups reduced resistant population frequency to 7.1%, 3.8%, and 0%, respectively.
Conclusions:
- Effective control of herbicide-resistant Raphanus raphanistrum remains challenging.
- Management strategies should leverage herbicides with modes of action not yet compromised by resistance, including pre-emergence herbicides and glyphosate.
- Integrating effective herbicide mixtures (two to four modes of action) with non-chemical control methods is essential for sustainable weed management and constraining resistance evolution.
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