Prediction of First Lactation 305-Day Milk Yield by Test Day Simple and Multiple Regression Models in Holstein Friesian Crossbred Cattle

Rohit Gupta; Saroj Kumar Sahoo; Simarjeet Kaur; Shakti Kant Dash; Puneet Malhotra

doi:10.5455/ijlr.20201225093301

Authors

Rohit Gupta M.V.Sc. Scholar, Department of Animal Genetics and Breeding, GADVASU, Ludhiana, Punjab, INDIA
Saroj Kumar Sahoo Assistant Animal Geneticist, Department of Animal Genetics and Breeding, GADVASU, Ludhiana, Punjab, INDIA https://orcid.org/0000-0002-3966-2496
Simarjeet Kaur Animal Geneticist, Department of Animal Genetics and Breeding, GADVASU, Ludhiana, Punjab,
Shakti Kant Dash Assistant Professor, Department of Animal Genetics and Breeding, GADVASU, Ludhiana, Punjab, INDIA
Puneet Malhotra Associate Professor, Department of Animal Genetics and Breeding, GADVASU, Ludhiana, Punjab, INDIA

DOI:

https://doi.org/10.5455/ijlr.20201225093301%20%20%20%20%20%20%20

Keywords:

Crossbred Cattle, FL305DMY, R2, RMSE, Test Day Milk Yield

Abstract

The present study was carried out for prediction of first lactation 305-day milk yield (FL305DMY) using monthly test-day milk yield records of 466 crossbred cattle calved from 2000 - 2018 maintained at Directorate of Livestock Farms, GADVASU, Ludhiana were utilized. The best single, two, three and four test day combinations were selected for prediction of FL305DMY based on adjusted R2 and RMSE values. The equation: Y = 827.38+ 49.58*36D+ 66.49*96D+ 112.51*186D was identified as best (R2=74.91%) for predicting the 305-day milk yield based on monthly test day milk (early test days were selected without compromising much on accuracy). It was concluded that the combination of 2nd, 4th and 7th monthly test days can aid in making culling decisions and used for early genetic evaluation of HF crossbred sires based on progeny performances.

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