Agricultural Science Digest

  • Chief EditorArvind kumar

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Agricultural Science Digest, volume 42 issue 6 (december 2022) : 785-789

​Multiple Linear Regression Analysis for Factors Influencing Net Return Per Animal in Male Buffalo Calves Farming

V. Senthil Kumar
1Department of Animal Husbandry Economics, Veterinary College and Research Institute, Namakkal-637 002, Tamil Nadu, India.
Cite article:- Kumar Senthil V. (2022). ​Multiple Linear Regression Analysis for Factors Influencing Net Return Per Animal in Male Buffalo Calves Farming. Agricultural Science Digest. 42(6): 785-789. doi: 10.18805/ag.D-5255.
Background: An integrated crop with male buffalo calves farming system consists of a range of resource-saving practices that aim to achieve high acceptable profits and sustained production levels, while minimizing the negative effects of farming. The farmers earn good income by rearing these calves up to a suitable age and then sell them to meat industry, utilize the dung and urine as manure and fodder wastages used as feeding for male buffalo calves. 
Methods: Coimbatore, Theni and Kanyakumari districts of Tamil Nadu State were purposively selected for the present study. From each of the selected districts, 20 male buffalo calves rearer were selected randomly, covering a total of 60 male buffalo calves farmers. The collected data were analyzed, by using multiple linear regression function and study the relationship between net return per animal. 
Result: The five variables viz., sale price of animal, total variable cost, herd size, deworming practices and purchase age of animals were found to be significantly associated with net return per animal in male buffalo calves farming. The coefficient of this variable shows that for every one per cent increase in herd size, there will be 88.611 per cent increase in net return.

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