Epidemiology and weather-based forecasting model for anthracnose of grape under the semi-arid tropical region of Maharashtra

Correlation analysis with the three years pooled data showed significant negative correlation of Tmin and Tmax with PDI, while RH1, RH2 and CRF showed significant positive correlation with PDI. [...]it is clear that temperature, relative humidity, and rainfall, all play an important role in anthracnose disease progression. The correlation coefficient (r) between the predicted disease severity and the observed PDI was 87.2 (p < 0.01). [...]the developed model can be used for prediction of the anthracnose disease in field under given environmental conditions.