Lactation and test day random regression models for genetic evaluation of Murrah buffaloes

MOHD BAQIR; AKARTHIKEYAN AKARTHIKEYAN; AKANSHA SINGH; ARNAV MALHOTRA; A K S TOMAR; TRIVENI DUTT; AMIT KUMAR

doi:10.56093/ijans.v89i10.95005

Authors

MOHD BAQIR PhD Scholar, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh 234 122, India
AKARTHIKEYAN AKARTHIKEYAN PhD Scholar, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh 234 122, India
AKANSHA SINGH PhD Scholar, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh 234 122, India
ARNAV MALHOTRA PhD Scholar, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh 234 122, India
A K S TOMAR Principal Scientist, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh 234 122, India
TRIVENI DUTT Principal Scientist, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh 234 122, India
AMIT KUMAR Senior Scientist, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh 234 122, India

https://doi.org/10.56093/ijans.v89i10.95005

Keywords:

305 day or less milk yield, Lactation model, Murrah Buffalo, Random regression model, Test day milk yield

Abstract

In this study the variance components, genetic parameters and breeding values for 305 day or less milk yield were estimated using lactation model and random regression models for the first three lactations in Murrah buffaloes. Random regression model were taken both as random regression model with homogeneous residual variance (RRMHOM) and heterogeneous residual variance (RRM-HET). The estimates of additive genetic variance using RRM were higher than lactation model in all the three lactations. RRM-HET gave higher estimates of additive genetic variance than RRM-HOM in first lactation while RRM-HOM gave higher estimates in second and third lactation. From RRM, it was possible to account for permanent environmental variance arising due to individual milk yield variations during lactation. The heritability estimates were comparable in all the three models. However, in first lactation, the heritability estimates from lactation model RRM-HOM and RRM-HET were 0.319, 0.296 and 0.305, respectively. Likewise in second and third lactations these estimates were 0.004, 0.137, 0.135 and 0.520, 0.315, 0.264, respectively. The breeding value rank correlation was high in all the lactations. More sires were common for each model among the top 10 ranked sires in all three lactations. In conclusion, RRM can be an alternative to lactation model owing to high accuracy, early evaluation, high additive genetic variance, comparable heritability and high rank correlation for breeding values.

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