Email:
muthu@tamu.edu
Address:
Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas, USA 77843
Herbicide resistance, Simulation modeling, Population dynamics, Selection pressure, resistance best management practices
Simulation models have been instrumental in understanding the evolutionary dynamics of herbicide resistance in weeds and making informed management decisions for preventing/delaying resistance. Continued improvements in model development and analysis will be critical to address the complex interactions involved in herbicide resistance evolution Here we review current knowledge on the development of herbicide resistance simulation models using published examples and also discuss future directions.