Winter rapeseed (Brassica napus L.) attracts numerous pest insects throughout its growing season. Infestation by pest insects can lead to significant yield loss, especially in combination with pathogens. Forecasting systems enable farmers to predict the date of pest immigration to crops for appropriate timing of insecticide applications.
The Luxembourg Institute of Science and Technology (LIST) has developed threshold-based models to predict the start of invasion of rapeseed by pest insects for the rape stem weevil (Ceutorhynchus napi Gyll.), the cabbage stem weevil (Ceutorhynchus pallidactylus Mrsh.) and the pollen beetle (Meligethes aeneus Fab.). These models are based on numerical algorithms linking meteorological variables to pest immigration based on long-term datasets from multi-site experimental locations in Germany and Luxembourg.
The models offer sufficiently accurate forecasts of pest migration for appropriate timing of insecticide application. The number of insecticide applications can be reduced, resulting in more sustainable use of resources.
For practical agriculture:
Senior Valorisation and Transfer OfficerSend an e-mail