Abstract
A forecasting system was developed to predict risk levels of downy mildew of lettuce ( Bremia lactucae ). The criteria for the forecasting system were derived from the relationships of weather variables to sporulation, dissemination and infection processes of B. lactucae . In addition the presence of inoculumsource, or the disease, in the field was taken into consideration. User-friendly software (BREMCAST) for use within the Windows (Microsoft Corp.) operating system was developed to calculate sporulation, infection, disease severity and cumulative disease severity values. The system predicted the occurrence of downy mildew on 84 and 80% of the days, under commercial and field plot conditions, respectively. The potential of the system for use as an intelligent decision tool in managing downy mildew is discussed.
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