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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.)

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

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Author(s):
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]
Total Authors: 7
Affiliation:
[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
Total Affiliations: 4
Document type: Journal article
Source: REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE; v. 50, 2021.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 16/22940-3 - Imputation, linkage desequilibrium, haplotype blocks and inbreeding in Nelore cattle
Grantee:Priscila Arrigucci Bernardes
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 15/25096-6 - Imputation, linkage desequilibrium, haplotype blocks and inbreeding in Nelore cattle
Grantee:Priscila Arrigucci Bernardes
Support Opportunities: Scholarships in Brazil - Doctorate