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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
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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.
Total Authors: 11
Document type: Journal article
Source: JOURNAL OF ANIMAL BREEDING AND GENETICS; v. 133, n. 5, p. 384-395, OCT 2016.
Web of Science Citations: 8
Abstract

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)

FAPESP's process: 12/15948-7 - Inclusion of genomic information in the development of economic index for dairy cattle selection
Grantee:Juliana Petrini
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 10/12929-6 - Quantitative-molecular genetic analysis for production traits, fatty acid profile and milk quality
Grantee:Gerson Barreto Mourão
Support type: Regular Research Grants