STATISTICAL ANALYSIS OF PRODUCTION IN MAJOR OILSEEDS IN SELECTED DISTRICTS OF KARNATAKA
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Date
2022-12-20
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University of Agricultural Sciences, Bangalore
Abstract
An effort was made to analyse the trends in area and production of major oilseed crops (Groundnut, Soybean and Sunflower) in selected districts of Karnataka state, using linear, quadratic, cubic, exponential and log-logistic model for the time period of 1997- 2019. The best fit model was selected based on the minimum MAPE value and highest R2 value. Log-logistic model was the best fitted model for area under groundnut and for production log-logistic, exponential and cubic models were the best fitted in Tumkur, Chitradurga and Dharwad district respectively. For soybean, linear model was best fitted for area in Belagavi, log-logistic model was best fit for both Bidar and Dharwad. While, for production exponential worked best fit in Bidar and Belagavi, whereas cubic model worked best in Dharwad. For sunflower, the log-logistic model had the best area fit, while the log-logistic, cubic and quadratic models had the best production fit in the Vijayapura, Kalaburagi, and Raichur districts, respectively. Further, an attempt was made to identify the suitable weather parameters influencing the production of selected oilseed crops, considering production as dependent variable and using rainfall, maximum temperature, minimum temperature, wind speed and relative humidity as independent variables. Multicollinearity was not seen among the independent variables. Multiple linear regression (MLR) model and stepwise multilinear regression (SMLR) model, were tried to identify the weather parameters. It is observed that rainfall had the significant influence on production for most of the crops and less significant influence was seen from the otherweather parameters.