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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.)

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

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Autor(es):
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.
Número total de Autores: 10
Tipo de documento: Artigo Científico
Fonte: G3-GENES, GENOMES, GENETICS; v. 7, n. 6, p. 1855-1859, JUN 2017.
Citações Web of Science: 1
Resumo

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)

Processo FAPESP: 13/21644-3 - Métodos bayesianos aplicados à predição de valores genômicos para ganho de peso médio diário em bovinos Nelore
Beneficiário:Adriana Luiza Somavilla
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
Processo FAPESP: 12/23638-8 - Bases moleculares da qualidade da carne em bovinos da raça Nelore
Beneficiário:Luciana Correia de Almeida Regitano
Linha de fomento: Auxílio à Pesquisa - Temático
Processo FAPESP: 12/23702-8 - Predição de valores genéticos genômicos e estudo de associação ampla do genoma para ganho de peso médio diário de bovinos Nelore em confinamento
Beneficiário:Adriana Luiza Somavilla
Linha de fomento: Bolsas no Brasil - Doutorado