International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Issue 6, Part B

A statistical analysis of major oilseeds area, production and productivity in Gujarat state


Author(s): Rahul K Joshi, KP Thakar, Rajdeepsinh Jadeja and Soumya C

Abstract:
The study was carried out on growth rates area, production and productivity of major oilseeds crop in Gujarat state for the period 1988-89 to 2020-21. Four major crops of state viz. Castor, Rapeseed-Mustard, Groundnut and Sesame were selected for the study on the basis of their diversified cropping pattern in different regions depending upon agro-climatic conditions. Three districts were selected purposively for the study viz., Rajkot district for Groundnut, Banaskantha district for Rapeseed-Mustard and Castor and Kutch district for Sesame crop based on highest triennium average area occupied as per the year from 2016-17 to 2018-19. For further study compared different models viz., linear, quadratic, cubic, exponential, compound, logarithmic, inverse, power, S-curve and growth models for estimating the growth in area, production, and productivity and found the best fit using the statistical methods such as highest R2 and adjusted R2. Overall study revealed that cubic function model was best fitted model for the future estimation.


Pages: 165-171 | Views: 64 | Downloads: 9

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Rahul K Joshi, KP Thakar, Rajdeepsinh Jadeja, Soumya C. A statistical analysis of major oilseeds area, production and productivity in Gujarat state. Int J Stat Appl Math 2023;8(6):165-171.

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