Simulation modelling to understand the evolution and management of glyphosate resistance in weeds.

@article{Neve2008SimulationMT,
  title={Simulation modelling to understand the evolution and management of glyphosate resistance in weeds.},
  author={Paul Neve},
  journal={Pest management science},
  year={2008},
  volume={64 4},
  pages={
          392-401
        }
}
  • P. Neve
  • Published 1 April 2008
  • Biology, Medicine
  • Pest management science
BACKGROUND A simulation model is used to explore the influence of biological, ecological, genetic and operational (management) factors on the probability and rate of glyphosate resistance in model weed species. RESULTS Glyphosate use for weed control prior to crop emergence is associated with low risks of resistance. These low risks can be further reduced by applying glyphosate in sequence with other broad-spectrum herbicides prior to crop seeding. Post-emergence glyphosate use, associated… 
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