A.R.S.BhatK.M.Chikkeshkumar2016-11-092016-11-092010http://krishikosh.egranth.ac.in/handle/1/84750A statistical investigation was carried out on association between weather parameters and crop yield in selected districts of Karnataka for the period of 1980-2006. The statistical tools namely correlation analysis, regression analysis, cluster analysis and different non linear models were employed. The results revealed that there is a association between weather parameters and crop yield. Among selected weather variables rainfall is positively and maximum temperature is negatively correlated with crop yield. The models were built in order to predict yield with the help of individual weather parameter. Best models were selected based on the significance of the variable and R2, which explains the variation in dependent variable due to independent variables. Different non linear models were used for predicting yield using each weather parameter, among those power, compound, cubic, s- curve, logarithmic and quadratic models were found significant. The results revealed from cluster analysis, rainfall classified in to three clusters based on the departure of aridity index from the mean value. The first cluster included those years which are considered as slight drought prone year, second cluster consists of years which are moderate drought years. Similarly the third cluster consists of years which are severe drought prone years respectively. Among selected years maximum years were classified under slight drought year and only few were classified under severe drought year.Agricultural StatisticsThesis