2023, Vol. 8, Special Issue 4

The model for forewarning of the infection of Wilt disease in Sugarcane (Saccharum officinarum L.) was studied and observation were recorded for each year from 2008-09 to 2017-18 for the month of September and December. Data were collected from the Sugarcane Research Institute, DRPCAU, Pusa, Bihar. The maximum disease found due to rainfall and then second due to minimum temperature. Using the original data on the response variable i.e., infection of wilt, the simple linear regression model was fitted with yearly as explanatory variable and describe severity of the infection of wilt disease during the year. The value of coefficient determination (R-Square) for this disease was 96.90% and Adjusted R-Square is 0. 907. We also include meteorological factors i.e., maximum temperature (X₁), minimum temperature (X₂), RH at 7 hrs. (X₃), RH at 14 hrs. (X₄), rainfall (X₅) and sunshine (X₆). The model provides the severity of infection of the above-mentioned disease forewarning. Meteorological factors played an important role in seasonal infection, distribution and wilt disease build-up in Sugarcane. For management purposes this model will be useful to predict the incidence of wilt disease multiple regression model for wilt is as mentioned below:

Wilt disease incidence(Y) = -99.498 + 0.142X1+ 0.345X2+0.601X3- 0.05X4+0.46 X5+6.25 X6