Forecasting method of persimmon fruit moth, Stathmopoda masinissa using the effective accumulated temperature calculation simulation of the JPP-NET

Abstract

Stathmopoda masinissa Meyrick is serious pest in persimmon. For control of this pest, forecasting adults occurrence is important, because the optimum period for prevention is short. Forecasting results of the first occurrence day in first generation adults, calculated suing the effective accumulated temperature matched weel with actual occurrence. The optimum period of second generation larvae could be predicted using this forecasting method.