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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.)

Genome-Enabled Prediction of Breeding Values for Feedlot Average Daily Weight Gain in Nelore Cattle

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Author(s):
Somavilla, Adriana L. ; Regitano, Luciana C. A. ; Rosa, Guilherme J. M. ; Mokry, Fabiana B. ; Mudadu, Mauricio A. ; Tizioto, Polyana C. ; Oliveira, Priscila S. N. ; Souza, Marcela M. ; Coutinho, Luiz L. ; Munari, Danisio P.
Total Authors: 10
Document type: Journal article
Source: G3-GENES, GENOMES, GENETICS; v. 7, n. 6, p. 1855-1859, JUN 2017.
Web of Science Citations: 1
Abstract

Nelore is the most economically important cattle breed in Brazil, and the use of genetically improved animals has contributed to increased beef production efficiency. The Brazilian beef feedlot industry has grown considerably in the last decade, so the selection of animals with higher growth rates on feedlot has become quite important. Genomic selection (GS) could be used to reduce generation intervals and improve the rate of genetic gains. The aim of this study was to evaluate the prediction of genomic-estimated breeding values (GEBV) for average daily weight gain (ADG) in 718 feedlot-finished Nelore steers. Analyses of three Bayesian model specifications {[}Bayesian GBLUP (BGBLUP), BayesA, and BayesC pi] were performed with four genotype panels {[}Illumina BovineHD BeadChip, TagSNPs, and GeneSeek High-and Low-density indicus (HDi and LDi, respectively)]. Estimates of Pearson correlations, regression coefficients, and mean squared errors were used to assess accuracy and bias of predictions. Overall, the BayesC pi model resulted in less biased predictions. Accuracies ranged from 0.18 to 0.27, which are reasonable values given the heritability estimates (from 0.40 to 0.44) and sample size (568 animals in the training population). Furthermore, results from Bos taurus indicus panels were as informative as those from Illumina BovineHD, indicating that they could be used to implement GS at lower costs. (AU)

FAPESP's process: 13/21644-3 - Bayesian methods applied to genomic breeding value predictions for average daily weight gain in Nellore cattle
Grantee:Adriana Luiza Somavilla
Support type: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 12/23638-8 - Molecular basis of meat quality in Nelore beef cattle
Grantee:Luciana Correia de Almeida Regitano
Support type: Research Projects - Thematic Grants
FAPESP's process: 12/23702-8 - Prediction of genomic-enabled breeding values and Genome-Wide Association Study for feedlot average daily weight gain in Nelore cattle
Grantee:Adriana Luiza Somavilla
Support type: Scholarships in Brazil - Doctorate