Linear disease prediction model in groundnut rust epidemics
Abstract
Field trials were conducted to study development of rust (Puccinia arachidis) of groundnut in relation to whether parameters during kharif, 2003 and rabi, 2003–2004. The main object was to develop environment-based linear prediction model to predict rust before the actual appearance using the stepwise multiple regression analysis. Maximum temperature, minimum temperature, maximum relative humidity, wind speed, sunshine hours, rainfall and crop age were the variables having high correlation with rust disease during kharif, 2003 while during rabi, 2003–2004, maximum temperature, minimum temperature, relative humidity, wind speed, rainfall, evaporation and crop age were highly correlating factors for rust development in groundnut.
Keywords
Arachis hypogaea, Linear prediction model, Puccina arachidis, Stepwise multiple regression