Vol. 5 No. 1
Epidemiological studies of stem rot of betelvine caused by Phytophthora parasitica under closed conservatory condition in West Bengal.
Author(s): P. DATTA, B. DASGUPTA, C.SENGUPTA AND D. K. SENGUPTA
Abstract: Relationship between five meteorological parameters like maximum temperature, minimum temperature, maximum relative humidity, minimum relative humidity and rainfall with disease severity of stem rot of betelvine caused by Phytophthora parasitica showed similar type of reactions in different cultivars of betelvine with regards to rate of progress of disease. Multiple regression analysis of meteorological parameters with disease severity showed that except minimum relative humidity all other meteorological factors were negatively correlated with disease severity. These observations were observed in all the tested 3 varieties. Step wise multiple regression analysis of original PDI is highly accurate and viable for disease prediction and it is confirmed by high Co-efficient determination (R2) value, Adjusted R2 value and low Residual sum of square and Standard error of estimate. Among the two transformed models Gompertz fit better for disease prediction in stem rot of betelvine..
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