INTERDEPENDENCE OF LACTATION MILK YIELD AND LATATION LENGTH IN NILI-RAVI BUFFALOES OF PAKISTAN

Abdul Waheed; Asim Faraz; Nasir Ali Tauqir; Hafiz Muhammad Ishaq

doi:10.56825/bufbu.2026.4514467

Authors

Abdul Waheed Department of Livestock and Poultry Production, Faculty of Veterinary Sciences, Bahauddin Zakariya University, Multan, Pakistan
Asim Faraz Department of Livestock and Poultry Production, Faculty of Veterinary Sciences, Bahauddin Zakariya University, Multan, Pakistan
Nasir Ali Tauqir Department of Animal Nutrition, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
Hafiz Muhammad Ishaq Department of Livestock and Poultry Production, Faculty of Veterinary Sciences, Bahauddin Zakariya University, Multan, Pakistan

DOI:

https://doi.org/10.56825/bufbu.2026.4514467

Keywords:

Bubalus bubalis, buffaloes, Nili-Ravi buffalo, lactation milk yield, regression lines, lactation period

Abstract

Nili-Ravi buffaloes are precious black gold of Pakistan yield lot of milk with pleasant attributes (Mirza et al., 2023). The period of milk production has strong ties to milk yield in the whole lactation (Bashir et al., 2025). The present study on four buffalo herds underlined interdependence of the two traits. The Least Square Linear Regression of total milk yield per lactation (LMY) with lactation length (LL) exhibited significant (P<0.001) interrelationship between LMY and LL where LL predicted LMY through 124.56+0.7402×LL. The regression lines for four herds presented similar prediction equations of LL for LMY (1119.04+0.9423×LL, 1375.08+0.0258×LL 1252.67+1.2790×LL, and 2665.35-0.0755×LL, respectively). Regression lines for buffaloes in various parities appeared to have variable regression coefficients and intercepts being typical and atypical in nature. Bartlett’s test for equality of variances showed differences of significant nature. In overall, it was profound to know the behavior of these two variables was nearly the same in different situations with slight differentiation. It would suggest that linear relationship can be applied in fitting regression lines for prediction purposes without considering the homogeneity in this animal genetic resource.

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References

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