Comparative analysis of altered weather parameters on Phoma leaf blight (Phoma sojicola) of soybean (Glycine max)

Development of a plant disease like Phoma blight (Phoma sojicola) soybean ]Glycine max (L.) Merr.] in time and space is variable, largely depending on environmental factors temperature, precipitation humidity. Considering importance this disease, understanding its dynamics via mathematical statistical models will help forecasting prevention yield losses. To serve objective, present study epidemiology leaf was carried out under natural epiphytotic conditions 2 cultivars (Shalimar 1 Kashmir local) at research farm Sher-e-Kashmir University Agricultural Sciences Technology Jammu, Jammu during rainy (kharif) season 2019 2020. Weather significantly influenced development irrespective crop cultivar as revealed by correlation matrix between weekly score weather preceding one three weeks. Disease intensity found positively correlated with RH rains while the temperature negative. It followed similar trend all sets parameter week that 3rd weeks have contributed to extent 57, 50 51%, respectively. The further reveals optimum for events pathogenesis besides inoculum dispersal case lies below 25oC relative humidity must be above 90% made possible when it least once summer.