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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2020, Volume : 8, Issue : 4
First page : (416) Last page : (426)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8140

Analysis of Poultry Egg Production Growth of Karnataka State Using Statistical Models

Manjula R.¹, Amaresh^2* and Manjunath V.^3
1Department of Agricultural Statistics, University of Agricultural Sciences, GKVK, Bengaluru-560 065.
²Assistant Professor, Discipline of Agricultural Statistics, College of Agriculture,
Bheemarayanagudi, University of Agricultural Sciences, Raichur-584 104
³Associate Professor, Department of Agricultural Statistics,
University of Agricultural Sciences, GKVK, Bengaluru-560 065
*Corresponding Author E-mail: amaresh.as13@gmail.com
Received: 2.05.2020  |  Revised: 8.06.2020   |  Accepted: 13.06.2020 

 ABSTRACT

The study is aimed at analysing the growth of egg production using different statistical models. The secondary data on egg production of Karnataka state for the period of thirty years (1985 to 2014) and district wise data for the period of seventeen years (1998 to 2014) were used to analyse the growth in egg production. Poultry egg production in Karnataka has shown an increasing trend over the period with varied growth rates among the districts. This growth is not uniform across all the districts of the state. Hence a modest attempt has been made to construct statistical models separately by grouping the districts on their production as high, medium and low egg producing districts as well as based on administrative divisions for obtaining the appropriate growth models. Various polynomial and exponential regression models were fitted and the best fitted model was selected based on Coefficient of determination (R2) and Root Mean Square Error (RMSE) criterion. Kalaburagi division had the highest egg production followed by Mysuru, Belagavi and Bengaluru divisions. The quadratic model was best fitted model for low and medium egg producing districts and linear model was best suitable for high egg producing districts. It was found that linear model was the appropriate model for the districts or division with higher egg production growth rates.

Keywords: Poultry Egg production, Regression, Coefficient of determination and RMSE

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Manjula, R., Amaresh, & Manjunath, V. (2020). Analysis of Poultry Egg Production Growth of Karnataka State Using Statistical Models, Ind. J. Pure App. Biosci. 8(4), 416-426. doi: http://dx.doi.org/10.18782/2582-2845.8140