A STATISTICAL EVALUATION OF SHIFT IN CROPPING PATTERN IN SELECTED AGRO-CLIMATIC ZONES OF KARNATAKA
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Date
2021-12-31, 2021-12-31
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University of Agricultural Sciences, Bangalore
University of Agricultural Sciences, Bangalore
University of Agricultural Sciences, Bangalore
Abstract
In this research, an effort was made to analyse the trends in area and production of major cereal crops (Paddy, Maize, Ragi and Jowar) in selected four agro-climatic zones of Karnataka state, using linear, quadratic, cubic, exponential and logistic model for the time period of 2000-2019. The best fit model was selected based on the minimum value RMSE. Linear and exponential models were found to be best fit for most of the crops in the study area. In this study an attempt was made to evaluate the shift in cropping pattern in selected four agro-climatic zones of Karnataka, using Herfindahl index (HI), Simpson index (SI)and Entropy index (EI). In all the three types of analysis conducted Central Dry zoneshowed highest diversification followed by Southern Dry zone, Southern transition zone and Eastern Dry zone for the time period 2000-2004, 2005-2009, 2010-2014 and 2015-2019 respectively. Further, an attempt was made to identify the suitable weather parameters influencing the production of selected major crops, considering production as dependent variable and using area, rainfall, maximum temperature, minimum temperature 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 area had
the significant positive influence on production for most of the crops and less significant influence was seen from the weather parameter for most of the crops
In this research, an effort was made to analyse the trends in area and production of major cereal crops (Paddy, Maize, Ragi and Jowar) in selected four agro-climatic zones of Karnataka state, using linear, quadratic, cubic, exponential and logistic model for the time period of 2000-2019. The best fit model was selected based on the minimum value RMSE. Linear and exponential models were found to be best fit for most of the crops in the study area. In this study an attempt was made to evaluate the shift in cropping pattern in selected four agro-climatic zones of Karnataka, using Herfindahl index (HI), Simpson index (SI)and Entropy index (EI). In all the three types of analysis conducted Central Dry zoneshowed highest diversification followed by Southern Dry zone, Southern transition zone and Eastern Dry zone for the time period 2000-2004, 2005-2009, 2010-2014 and 2015-2019 respectively. Further, an attempt was made to identify the suitable weather parameters influencing the production of selected major crops, considering production as dependent variable and using area, rainfall, maximum temperature, minimum temperature 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 area had the significant positive influence on production for most of the crops and less significant influence was seen from the weather parameter for most of the crops
In this research, an effort was made to analyse the trends in area and production of major cereal crops (Paddy, Maize, Ragi and Jowar) in selected four agro-climatic zones of Karnataka state, using linear, quadratic, cubic, exponential and logistic model for the time period of 2000-2019. The best fit model was selected based on the minimum value RMSE. Linear and exponential models were found to be best fit for most of the crops in the study area. In this study an attempt was made to evaluate the shift in cropping pattern in selected four agro-climatic zones of Karnataka, using Herfindahl index (HI), Simpson index (SI)and Entropy index (EI). In all the three types of analysis conducted Central Dry zoneshowed highest diversification followed by Southern Dry zone, Southern transition zone and Eastern Dry zone for the time period 2000-2004, 2005-2009, 2010-2014 and 2015-2019 respectively. Further, an attempt was made to identify the suitable weather parameters influencing the production of selected major crops, considering production as dependent variable and using area, rainfall, maximum temperature, minimum temperature 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 area had the significant positive influence on production for most of the crops and less significant influence was seen from the weather parameter for most of the crops