Modeling lactation curve for genetic evaluation of Murrah buffaloes

DOI: 10.18805/ijar.B-3432    | Article Id: B-3432 | Page : 1675-1679
Citation :- Modeling lactation curve for genetic evaluation of Murrah buffaloes.Indian Journal Of Animal Research.2018.(52):1675-1679
Saroj Kumar Sahoo, Avtar Singh, Shakti Kant Dash and G.S. Ambhore sarojvet6804@gmail.com
Address : ICAR-National Dairy Research Institute, Karnal-132 001, Haryana, India.
Submitted Date : 5-05-2017
Accepted Date : 8-06-2017

Abstract

In this study, four lactation curve models viz. Gamma-type function (GF), Mixed log function (MLF), Exponential function (EF) and Polynomial regression function (PRF) were fitted to predict the weekly test-day milk yields pertaining to 961 Murrah buffaloes progeny of 101 sires spread over a period of 36 years (1977-2012) maintained at ICAR-NDRI, Karnal. The PRF was the best fit with highest R2 (99.3%) and lowest RMSE (0.3%) which was used subsequently to estimate the first lactation 305-day or less milk yield (FL305DMY) from weekly test-day milk yields. The sires were evaluated using four linear models viz. Least Squares(LSQ), Simple Regressed Least Squares (SRLS), Sire (BLUP-SM) and animal (BLUP-AM) models from actual as well as PRF predicted FL305DMYs. BLUP-AM was the most efficient, among the sire evaluation models, in predicting the breeding values. Sire evaluation on the basis of predicted data (using PRF) was similar to that on the basis of actual data indicating that the best fitted lactation curve function can be used as an alternative for early animal evaluation and reduction of generation interval.

Keywords

Lactation curve Murrah buffalo Sire evaluation Test-day milk yields.

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