National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Cotton is an important principal commercial fibre crop. It is also known as ‘White gold’ or the “King of Fibres” due to its importance in agricultural as well as industrial economy throughout the world.Cotton is one of the most leading and important cash crops in Indian economy.In the present study an attempt was made using secondary data for forty six years (from 1970 to 2016) to understand the trends in area, production and productivity of cotton crop in selected districts of Karnataka viz.,Dharwad, Ballari and Raichur. It was observed that among different polynomial models fitted for area, production and productivity of cotton crop, quadratic model was found to be the best fit for area with an adj R2 and RMSE values of 0.780, and 36.354 respectively. For production, cubic model was found to be the best with adj R2 and RMSE of 0.685 and 29.909 respectively. Similarly, for productivity, linear model was best fitted with an adj R2 of 0.714 and an RMSE of 39.243.For Ballari district, we observe that quartic model was found to be the best fit for area under cotton with an adjR2 value of 0.813 and RMSE of 12.848. On the other hand, for production quartic model was the best fit with an adjR2value of 0.869 and RMSE of 18.653. While for productivity, cubic model was the best fit with an RMSE of 50.548 and adj R2value of 0.781.It was observed that quadratic model with negative trend was found to be the best fit for area under cotton with an adjR2 value of 0.856 and RMSE of 36.686. However, for production, quadratic model with an increasing trend was the best fit with an adjR2value of 0.801and RMSE of 28.628.While, for productivity, cubic model with an increasing trend was the best fit with an adj R2value of 0.742 and RMSE of 60.037.
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