Test-day or 305-day milk yield for genetic evaluation of Gir cattle

Authors

  • Rodrigo Junqueira Pereira Universidade Federal de Mato Grosso, Instituto de Ciências Agrárias e Tecnológicas, Campus de Rondonópolis, Avenida dos Estudantes, no 5.055, Cidade Universitária, CEP 78735-901 Rondonópolis, MT.
  • Denise Rocha Ayres Universidade Federal de Mato Grosso, Instituto de Ciências Agrárias e Tecnológicas, Campus de Rondonópolis, Avenida dos Estudantes, no 5.055, Cidade Universitária, CEP 78735-901 Rondonópolis, MT.
  • Mário Luiz Santana Júnior Universidade Federal de Mato Grosso, Instituto de Ciências Agrárias e Tecnológicas, Campus de Rondonópolis, Avenida dos Estudantes, no 5.055, Cidade Universitária, CEP 78735-901 Rondonópolis, MT.
  • Lenira El Faro Agência Paulista de Tecnologia dos Agronegócios, Instituto de Zootecnia, Centro Avançado de Pesquisa Tecnológica do Agronegócio de Bovino de Corte, Rodovia Carlos Tonanni, Km 94, Caixa Postal 63, CEP 14160-900 Sertãozinho, SP.
  • Aníbal Eugênio Vercesi Filho Agência Paulista de Tecnologia dos Agronegócios, Instituto de Zootecnia, Avenida Heitor Penteado, no 56, CEP 13460-000 Nova Odessa, SP.
  • Lucia Galvão de Albuquerque Universidade Estadual Paulista Júlio de Mesquita Filho, Faculdade de Ciências Agrárias e Veterinárias, Campus de Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane, s/no, CEP 14884‐900 Jaboticabal, SP.

DOI:

https://doi.org/10.1590/S1678-3921.pab2019.v54.26488

Keywords:

accuracy, persistency, random regression, rank correlation

Abstract

The objective of this work was to compare genetic evaluations of milk yield in the Gir breed, in terms of breeding values and their accuracy, using a random regression model applied to test-day records or the traditional model (TM) applied to estimates of 305-day milk yield, as well as to predict genetic trends for parameters of interest. A total of 10,576 first lactations, corresponding to 81,135 test-day (TD) records, were used. Rank correlations between the breeding values (EBVs) predicted with the two models were 0.96. The percentage of animals selected in common was 67 or 82%, respectively, when 1 or 5% of bulls were chosen, according to EBVs from random regression model (RRM) or TM genetic evaluations. Average gains in accuracy of 2.7, 3.0, and 2.6% were observed for all animals, cows with yield record, and bulls (sires of cows with yield record), respectively, when the RRM was used. The mean annual genetic gain for 305-day milk yield was 56 kg after 1993. However, lower increases in the average EBVs were observed for the second regression coefficient, related to persistency. The RRM applied to TD records is efficient for the genetic evaluation of milk yield in the Gir dairy breed.

Downloads

Published

2019-05-09

How to Cite

Pereira, R. J., Ayres, D. R., Santana Júnior, M. L., El Faro, L., Vercesi Filho, A. E., & Albuquerque, L. G. de. (2019). Test-day or 305-day milk yield for genetic evaluation of Gir cattle. Pesquisa Agropecuaria Brasileira, 54(X), e00325. https://doi.org/10.1590/S1678-3921.pab2019.v54.26488

Issue

V.54, Jan./Dec., 2019 :Continuos publication

Section

ANIMAL SCIENCE