Development of Food Grain Production Index in Karnataka
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Date
2017-07
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University of Agricultural Science, Dharwad
Abstract
The study was conducted during 2016 at Department of Agricultural Statistics, University of Agricultural Sciences, Dharwad. The study was based on secondary data for twenty five years from 1990-91 to 2014-15. The technique of descriptive, compound growth rate, co-efficient of variation, Markov chain analysis, composite index, correlation analysis, simple linear regression and non-linear regression were used.
Descriptive statistics pertaining to area, production and productivity of food grains in Karnataka state over a period of years indicates the average area was found to be higher in sorghum, average production and productivity was found to be higher in case of paddy. The highest positive CAGR was observed in maize, chickpea and pigeonpea in case of area, production and productivity among cereals and pulses. Paddy showed lowest coefficient of variation in area, production and productivity. Field bean showed higher coefficient of variation in production and productivity. Transitional probability matrix was used to study the shift in area of selected crops. Highest retention was found in sorghum (74.73 %) followed by paddy and maize (56.08 % and 49.03 %, respectively). Based on the composite indices of production indicator, Raichur district was ranked first in food grain production in the study period. In case of correlation analysis, the demand of pulses was significant and positively correlated with production of pulses. In case of simple linear regression, production of pulses was contributing significantly to the demand of pulses. For demand of pulses linear model, quadratic models, compound model, power model, growth model, exponential model and logistic model were found to be significant. Linear and quadratic models were found to best fit for production of pulses because of its highest R2 (36.8 %) and lowest standard error (0.141).