Data/hora: 11/06/2024 01:11:48

Provedor de dados: | 86
País: | Brazil
Título: | Test-day or 305-day milk yield for genetic evaluation of Gir cattle
Autores: | Pereira,Rodrigo Junqueira; Ayres,Denise Rocha; Santana Junior,Mário Luiz; Faro,Lenira El; Vercesi Filho,Aníbal Eugênio; Albuquerque,Lucia Galvão de.
Data: | 2019-01-01
Ano: | 2019
Palavras-chave: | Accuracy; Persistency; Random regression; Rank correlation.
Resumo: | 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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000104305

Editor:

Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira

Relação: | 10.1590/s1678-3921.pab2019.v54.00325
Formato: | text/html
Fonte: | Pesquisa Agropecuária Brasileira  v.54 2019
Fonte: | info:eu-repo/semantics/openAccess