2015
DOI: 10.54386/jam.v17i2.1024
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Epidemiology and weather-based forecasting model for anthracnose of grape under the semi-arid tropical region of Maharashtra

Abstract: 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 enviro… Show more

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