To reduce reliance on fungicides for control of oilseed rape diseases, Decision Support Systems (DSS) are being developed to improve targeting of spray applications as part of an integrated disease management strategy. This paper reports on the development and use of an empirical risk prediction model and mechanistic disease progress models for light leaf spot and phoma stem canker. Delivery of the light leaf spot forecast is currently Internet-based, but a PC-based version is being developed as partof the PASSWORD project, which will produce a pest and disease module of the ArableDS system. Uptake of the Internet forecast by target end users (mainly growers and advisors) has been encouraging, with approximately 1000+ visitors and 2500 page visitsduring the past 2004/5 season, with 51% of these being made within two periods crucial to light leaf spot spray decisions.
展开▼
