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Nonlinear regression techniques for analysis of onion (Allium cepa) production in India

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Relation http://oar.icrisat.org/7972/
http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/26253
 
Title Nonlinear regression techniques for analysis of onion (Allium cepa) production in India
 
Creator Panwar, S
Kumar, A
Singh, K N
Farooqi, S
Rathore, A
 
Subject Others
 
Description India occupies second position in the production of onion in the world. Keeping in view the importance of this crop, the present study has been undertaken to find out the growth in production of onion and discusses the application of nonlinear models, viz. Gompertz, Logistic, MMF, Richards and Weibull models, which measure the growth. Time series data on onion production in major growing states; viz. Andhra Pradesh, Gujarat, Karnataka, Maharashtra, Uttar Pradesh, and all India from 1990–91 to 2009–10 has been utilized for the present study. From a realistic point of view, the relationships among variables in agricultural and horticultural sciences are non-linear in nature. Non-linear models are very popularly used to estimate the trend in various fields such as population studies and animal growth where growth is not symmetrical about the point of inflection. The results showed that Logistic and Gompertz models faired marginally better than Weibull and MMF models
 
Publisher Indian Council of Agricultural Research
 
Date 2012
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/7972/1/IJAS_82_12_1051-1054_2012.pdf
Panwar, S and Kumar, A and Singh, K N and Farooqi, S and Rathore, A (2012) Nonlinear regression techniques for analysis of onion (Allium cepa) production in India. Indian Journal of Agricultural Sciences, 82 (12). pp. 1051-1054. ISSN 0019-5022