Comparing disease progress models of guava anthracnose in relation to weather

Guava anthracnose intensity data (2015–2017) were recorded during the peak period of guava anthracnose incidence (first week of July to first week of September) on cultivar Hisar Safeda. Guava anthracnose intensity values were transformed using Logistic and Gompertz models for development of weather based prediction models. Transformed values of disease intensity were correlated with corresponding weather parameters (2015–2017) and correlation coefficient indicated that minimum temperature (26–28°C, r =-0.79) and morning relative humidity (86–90%, r = 0.36) and rainy days (3, r=-0.79) were the most significant weather parameters in disease progression. Minimum temperature and rainy days collectively explained maximum variability in disease progression. The Gompertz model was found to be the best fit over the years for describing guava anthracnose in a natural inoculum population of Colletotrichum gloeosporioides on guava.