An analysis of the temperature trends of two geographically and climatologically distinct grape growing locations of India viz. Solapur and Ludhiana, shows that there is a perceptible increase in temperature, especially the minimum (Tmin) temperatures. This increase may have created conditions favourable for C. gloeosporioides, which can grow at comparatively higher temperatures, to replace E. ampelina as the dominant pathogen of anthracnose. Regression analysis of weather and disease data also indicated that Tmin was significantly contributing to disease development. Further the number of occasions on which the temperature remained above 350C showed increasing trend at both Ludhiana and Solapur which could have affected survival of E. ampelina during non-active summer season.
disease was rainfall with minimum temperature between 22.33 to 23.12ºC, maximum temperature between 30.12 to 31.88ºC, RH1 more than 67% and RH2 more than 51%. The forecasting model was tested for prediction of disease by feeding recorded weather data for the years 2012-2014 as input parameters. The correlation coefficient (r) between the predicted disease severity and the observed PDI was 87.2 (p < 0.01). Thus the developed model can be used for prediction of the anthracnose disease in field under given environmental conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.