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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:2, February, 2019

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

Int.J.Curr.Microbiol.App.Sci.2019.8(2): 3489-3496
DOI: https://doi.org/10.20546/ijcmas.2019.802.409


Application of Regression Models for Area, Production and Productivity Growth Trends of Bt. Cotton in Odisha, India
Lakshmikant Das and Rajendra Kumar Rout*
College of Agriculture, Odisha University of Agriculture & Technology (OUAT), Bhawanipatna (Odisha), India
*Corresponding author
Abstract:

The study analyses the trends in area, production, and productivity of cotton in Odisha, using secondary time series data divided into two periods: before (1985–2002) and after (2002–2018) the introduction of Bt cotton. A semi-log growth model was used to calculate the Compound Annual Growth Rate (CAGR), while instability was assessed using the Cuddy-Della Valle Index (CDVI). Results show a notable rise in cotton area, production, and productivity after the adoption of Bt cotton in Odisha and in India and for its highest adjusted R2 on increasing future projection trends with respect to area, production and productivity of cotton in India. Despite these gains, farmers continue to face challenges such as poor seed quality, pest infestations, and limited awareness of modern technologies. The study emphasizes the need to strengthen agricultural extension services to address these constraints and enhance the benefits of Bt cotton adoption.


Keywords: Adjusted R2, Regression growth models, Della Valle Index, Productivity, Cotton, Coefficient of variation


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How to cite this article:

Lakshmikant Das and Rajendra Kumar Rout. 2019. Application of Regression Models for Area, Production and Productivity Growth Trends of Bt. Cotton in Odisha, India.Int.J.Curr.Microbiol.App.Sci. 8(2): 3489-3496. doi: https://doi.org/10.20546/ijcmas.2019.802.409
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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