Data/hora: 11/06/2024 02:26:06

Biblioteca(s): 	Embrapa Agricultura Digital; Embrapa Pecuária Sudeste.	
Data corrente: 	26/05/2017	
Data da última atualização: 	14/06/2019	
Autoria: 	SOMAVILLA, A. L.; REGITANO, L. C. de A.; ROSA, G. J. M.; MOKRY, F. B.; MUDADU, M. de A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; SOUZA, M. M. de; COUTINHO, L. L.; MUNARI, D. P.	
Afiliação: 	Adriana Luiza Somavilla, Unesp; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Guilherme Jordão Magalhães Rosa, University of Wisconsin; Fabiana Barichello Mokry, UFSCar; MAURICIO DE ALVARENGA MUDADU, CNPTIA; Polyana Cristine Tizioto, UFSCar; Priscila Silva Neubern de Oliveira, UFSCar; Marcela Maria de Souza, UFSCar; Luiz Lehmann Coutinho, USP; Danísio Prado Munari, Unesp.	
Título: 	Genome-enabled prediction of breeding values for feedlot average daily weight gain in nelore cattle.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	G3: Genes, Genomes, Genetics, v. 7, p. 1-17, 2017.	
DOI: 	https://doi.org/10.1534/g3.117.041442	
Idioma: 	Inglês	
Conteúdo: 	Nelore is the most economically important cattle breed in Brazil, and the use of genetically improved animals has contributed to increase 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 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 for average daily gain in 718 feedlot-finished Nelore steers. Analyses of three Bayesian model specifications (Bayesian GBLUP, BayesA, and BayesC&#960;) were performed with four genotype panels (Illumina BovineHD BeadChip, TagSNPs, GeneSeek High and Low-density indicus). Estimates of Pearson correlations, regression coefficients, and mean squared errors were used to assess accuracy and bias of predictions. Overall, the BayesC&#960; 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 genomic selection at lower costs.	
Palavras-Chave: 	Bayesian model; Bos taurus indicus; Feedlot performance; Genomic selection; Growth; Modelos de regressão; Polimorfismo de nucleotídeo único; Regression models.	
Thesagro: 	Gado nelore.	
Thesaurus Nal: 	Feedlots; Marker-assisted selection; Models; Single nucleotide polymorphism.	
Categoria do assunto: 	L Ciência Animal e Produtos de Origem Animal
X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/160256/1/g3.117.041442.full.pdf	
Registro original: 	Embrapa Pecuária Sudeste (CPPSE)	
Exemplares: 	CPPSE - (24052-1) - UPC - AP - DD - PROCI-2017.00010 - SOM - 2017.00128 - DIS
CNPTIA - (19606-1) - UPC - AP - DD -  -  -  - DIS