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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Inclusion of genomic information in estimation of genetic parameters for body weights and visual scores in Nelore cattle

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Autor(es):
Watanabe, Rafael Nakamura [1] ; do Nascimento, Guilherme Batista [2] ; Bernardes, Priscila Arrigucci [3] ; da Costa, Rebeka Magalhaes [1] ; Lobo, Raysildo Barbosa [4] ; Baldi, Fernando [1] ; Munari, Danisio Prado [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Univ Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SP - Brazil
[2] Ctr Univ Adamantina, Adamantina, SP - Brazil
[3] Univ Fed Santa Catarina, Dept Zootecnia & Desenvolvimento Rural, Florianopolis, SC - Brazil
[4] Univ Sao Paulo, Fac Med Ribeirao Preto, Ribeirao Preto, SP - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE; v. 50, 2021.
Citações Web of Science: 0
Resumo

ABSTRACT The aim of this study was to evaluate genomic information inclusion in genetic parameter estimation of standardized body weight at birth and at 240, 365, and 450 days of age, and visual scores for body structure, precocity, and body muscularity, measured as yearlings in Nelore cattle. We compared genetic parameters, (co)variance components (estimated from Bayesian inference and Gibbs sampling), breeding value accuracies, genetic trends, and principal component analysis (PCA) obtained through traditional GBLUP and ssGBLUP methods. For all traits analyzed, part of the phenotypic variation was explained by the additive genetic effect, thus indicating the capacity of traits to respond to the selection process. Estimates of genetic correlation, in both methodologies, between body weights and visual scores were, in general, high and positive, showing that the selection for visual scores can lead to heavier animals. Genetic trends showed genetic progress, both when estimated breeding values and genomic estimated breeding values were used. The PCA, genetic trends, and accuracy estimates on breeding values showed that inclusion of single nucleotide polymorphism information contributed towards slightly better estimates of the genetic variability of evaluated traits. Genomic information did not bring greater gains in genetic estimates, due to redundancy of kinship information from the pedigree, which already had complete animal kinship data. (AU)

Processo FAPESP: 16/22940-3 - Imputação, desequilíbrio de ligação, blocos de haplótipos e endogamia em bovinos Nelore
Beneficiário:Priscila Arrigucci Bernardes
Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
Processo FAPESP: 15/25096-6 - Imputação, desequilíbrio de ligação, blocos de haplótipos e endogamia em bovinos Nelore
Beneficiário:Priscila Arrigucci Bernardes
Modalidade de apoio: Bolsas no Brasil - Doutorado