Studies of weather effect on frog-eye spot disease in Bidi tobacco using logistics regression

Abstract

The frog-eye spot (FES) disease caused by Cercospor anicotianae Ell. and Eve. is a major problem in both nursery as well as in the main field of bidi tobacco growing environments. Eight years data (2008-2015) on occurrence of disease and weather parameters were used for logistics regression analysis. The results indicated that sunshine hours (BSS) and minimum temperature (Tmin) were positive and highly significant, whereas maximum temperature (Tmax) and rainfall (R) were found negative and highly significant.Further results of odd ratio indicated that every increase in 1 unit in BSS and Tmin, the risk of FES increases 1.7 and 1.4 times, respectively, whereas increase in 1 unit in Tmax and rainfall, the risk of FES decreases at rate of 0.6 and 1.0 times, respectively.

Keywords

• Bidi tobacco
• correlation
• logistic regression
• weather parameters