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Genetic parameters for milk fatty acids, milk yield and quality traits of a Holstein cattle population reared under tropical conditions

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Autor(es):
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Petrini, J. ; Iung, L. H. S. ; Rodriguez, M. A. P. ; Salvian, M. ; Pertille, F. ; Rovadoscki, G. A. ; Cassoli, L. D. ; Coutinho, L. L. ; Machado, P. F. ; Wiggans, G. R. ; Mourao, G. B.
Número total de Autores: 11
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF ANIMAL BREEDING AND GENETICS; v. 133, n. 5, p. 384-395, OCT 2016.
Citações Web of Science: 8
Resumo

Information about genetic parameters is essential for selection decisions and genetic evaluation. These estimates are population specific; however, there are few studies with dairy cattle populations reared under tropical and sub-tropical conditions. Thus, the aim was to obtain estimates of heritability and genetic correlations for milk yield and quality traits using pedigree and genomic information from a Holstein population maintained in a tropical environment. Phenotypic records (n=36457) of 4203 cows as well as the genotypes for 57368 single nucleotide polymorphisms from 755 of these cows were used. Covariance components were estimated using the restricted maximum likelihood method under a mixed animal model, considering a pedigree-based relationship matrix or a combined pedigree-genomic matrix. High heritabilities (around 0.30) were estimated for lactose and protein content in milk whereas moderate values (between 0.19 and 0.26) were obtained for percentages of fat, saturated fatty acids and palmitic acid in milk. Genetic correlations ranging from -0.38 to -0.13 were determined between milk yield and composition traits. The smaller estimates compared to other similar studies can be due to poor environmental conditions, which may reduce genetic variability. These results highlight the importance in using genetic parameters estimated in the population under evaluation for selection decisions. (AU)

Processo FAPESP: 12/15948-7 - Incorporação de informações genômicas no desenvolvimento de índices econômicos para a seleção de bovinos leiteiros
Beneficiário:Juliana Petrini
Linha de fomento: Bolsas no Brasil - Doutorado
Processo FAPESP: 10/12929-6 - Análise genética quantitativo-molecular para características de produção, perfil de ácidos graxos e qualidade do leite
Beneficiário:Gerson Barreto Mourão
Linha de fomento: Auxílio à Pesquisa - Regular