The potential of decision support systems to improve risk assessment for pollen beetle management in winter oilseed rape.

ABSTRACT:

Background

The reliance on and extensive use of pyrethroid insecticides have led to pyrethroid resistance in pollen beetle (Meligethes aeneus). Widespread adoption of best practice in pollen beetle management is therefore needed. Decision support systems (DSSs) that identify the risk period(s) for pest migration can help to target monitoring and control efforts, but they must be accurate and labour efficient to gain the support of growers. Weather data and the phenology of pollen beetles in 44 winter oilseed rape crops across England over 4 years were used to compare the performance of two risk management tools: the DSS proPlant expert, which predicts migration risk according to a phenological model and local weather data, and 'rule-based advice', which depends on crop growth stage

SUBMITTER: Ferguson AW 

PROVIDER: S-EPMC5049606 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature