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Future Outlook for Herbicide-Resistance Research

Published online by Cambridge University Press:  12 June 2017

Mary Lynn Roush ,
Steven R. Radosevich  and
Bruce D. Maxwell
Mary Lynn Roush
Affiliation:
Dep. For. Sci., Oreg. State Univ., Corvallis, OR 97331-5705
Steven R. Radosevich
Affiliation:
Dep. For. Sci., Oreg. State Univ., Corvallis, OR 97331-5705
Bruce D. Maxwell
Affiliation:
Dep. For. Sci., Oreg. State Univ., Corvallis, OR 97331-5705
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Abstract

Management of herbicide resistance will require interdisciplinary research to understand the mechanisms and dynamics of resistance. We believe that models are valuable tools. Models propose hypotheses about biological processes that influence the evolution of resistance and management tools that may reduce resistance in weed populations. Hypotheses help to direct research. For example, our model proposes that fitness and gene flow dramatically influence the evolution of and recovery from resistance in weed populations. Therefore, our research agenda should include ecological investigations of the life-history traits involved in fitness and gene flow. The model suggests thresholds of susceptible weed abundance to reduce selection pressure and to delay resistance. These thresholds will be related closely to economic weed thresholds. While the resistance issue emphasizes the need for basic biological and ecological research, resistance is only a part of the broader research agenda, which calls for holistic and interdisciplinary approaches to understanding and managing crop systems.

Type
Symposium
Information
Weed Technology , Volume 4 , Issue 1 , March 1990 , pp. 208 - 214
Copyright
Copyright © 1990 Weed Science Society of America 

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References

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