Résumé
Damages caused by various pathogens, animal pests, and weeds in rice crops can result in important yield losses (Oerke, 2006). In order to limit these damages, farmers use large amounts of pesticides, especially in Cambodia (Flor et al., 2019). This leads to high health and ecological risks. Two major challenges must be completed to support farmers in the agroecological transition, and to limit the use of pesticides on rice crops: i) to link pest populations and pest injuries with the associated risks of crop losses (yield and/or quality) in a given production situation and for given cropping practices; ii) to understand which agroecological levers can prevent pest development and damages. We calibrated the Decision Support System DSSAT using the CERES-Rice model to simulate the impact of different cropping systems (e.g. number of cycles per year, cultivars, fertilization practices) representing various farming systems (e.g. conservation agriculture) on rice growth and yield in Cambodia. The simulated growth dynamics represent potential crop growths in the considered agroenvironmental conditions. The impacts of multiple pests are then integrated using coupling points and damage functions. This presentation introduces the structure, parameterization, model's goodness of fit, and potential use of the model to help adapt crop management strategies in different environments.