Modelling the development of herbicide resistance

Abstract

A population dynamic and genetic model was used to simulate the genetic evolution in an Apera spica-venti (L.) P. Beauv. population. The basis of the model is a life cycle of an annual weed population which is divided into five development stages. These are the seed bank, the seedlings, young plants, the seed producing plants and the produced seeds. The stages are linked through transition probabilities. The interaction between resistant and susceptible genotypes is mediated by a genetic submodel. The model supports the development of management strategies to prevent, reduce or at least retard the development of resistance. Through an embedment into a cellular automaton the dispersal of genetic information is simulated at field scale. Three simulations with different herbicide treatments are compared regarding the resistance evolution.

Keywords

• Apera spica-venti
• Evolution
• genetisches Modell
• Populationsdynamik
• Resistenzmanagement
• zellularer Automat
• cellular automaton
• evolution
• genetic model
• population dynamics
• resistance management