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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2024, Volume : 12, Issue : 3
First page : (33) Last page : (36)
Article doi: : http://dx.doi.org/10.18782/2582-2845.9086

Prediction of First Lactation Milk Yield on The Basis of Test Day Yield Using Multiple Linear Regression in Gir Cows

A.L. Ramani^1* , P.U. Gajbhiye², A.R. Ahlawat³, H.A Sharma⁴ and R.J. Raval^5
1Veterinary officer, Veterinary Dispensary, Jamkandhorna, Rajkot, 360001
²Fomer Research Scientist, Cattle Breeding farm Kamdhenu University, Junagadh, 362001
³Professor & Head, Department of Animal Genetics & Breeding, Kamdhenu University, Anand, 388001
⁴Veterinary officer, Veterinary Dispensary Nakatrana, Bhuj, 370615
⁵Assistant Professor, Polytechnic in Animal Husbandry, COVSAH Kamdhenu University, SK nagar, 385506
*Corresponding Author E-mail: dranshuahlawat@gmail.com
Received: 12.03.2024 | Revised: 24.05.2024 | Accepted: 3.06.2024 

 ABSTRACT

The test-day model is a method of choice for the study of milk yield traits, and this method is very important in countries like India, where herd size is generally smaller and lacks a well-established milk recording system. The present investigation was carried out on 365 records of Gir cows maintained at a cattle breeding farm from 1986 to 2014 with the objective of predicting the first lactation milk yield using monthly test day milk records. MLR was used with the backward elimination method. The optimum equation had total five variables (test days) viz. TD1, TD2, TD3, TD4 and TD5. This equation gave an accuracy of prediction of 77.71%. Therefore, it is concluded that first lactation 305 day milk yield could be predicted as early as 5th month of lactation with higher degree of accuracy.

Keywords: First lactation 305 day milk yield, MTDMY, MLR, Gir cow.

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

Cite this article: Ramani, A. L., Gajbhiye, P. U., Ahlawat, A. R., Sharma, H. A., & Raval, R. J. (2024). Prediction of First Lactation Milk Yield based on Test Day Yield Using Multiple Linear Regression in Gir Cows, Ind. J. Pure App. Biosci.12(3), 33-36. doi: http://dx.doi.org/10.18782/2582-2845.9086