A generalised individual-based algorithm for modelling the evolution of quantitative herbicide resistance in arable weed populations
Author:
Affiliation:
1. Herbicide Bioscience; Syngenta Bracknell Berks UK
2. School of Life Sciences; University of Warwick; Wellesbourne Warks UK
3. Herbicide Product Management; Syngenta Greensboro NC USA
4. Department of Agronomy; Iowa State University; Ames IA USA
Publisher
Wiley
Subject
Insect Science,Agronomy and Crop Science,General Medicine
Reference41 articles.
1. Global perspective of herbicide-resistant weeds;Heap;Pest Manag Sci,2014
2. Field weed population dynamics: a review of model approaches and applications
3. Herbicide resistance modelling: past, present and future
4. The paucity of plants evolving genetic resistance to herbicides: Possible reasons and implications
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