Data/hora: 12/06/2024 05:50:57

Biblioteca(s): 	Embrapa Unidades Centrais.	
Data corrente: 	24/08/2018	
Data da última atualização: 	25/02/2019	
Autoria: 	FARAH, M. M.; FORTES, M. R. S.; KELLY, M.; POTO-NETO, L. R.; MEIRA, C. T.; CARREÑO, L. O. D.; FONSECA, R. da; MOORE, S. S.	
Afiliação: 	Michel Marques Farah, Universidade Estadual Paulista - Unesp/Faculdade de Ciências Agrárias e Veterinárias; Marina Rufino Salinas Fortes, The University of Queensland/School of Chemistry and Molecular Biosciences; Matthew Kelly, Australian Agricultural Company, Corporate Office; Laercio Ribeiro Porto-Neto, Commonwealth Scientific and Industrial Research Organisation/Queensland Bioscience Precinct; Camila Tangari Meira, Universidade Estadual Paulista - Unesp/Faculdade de Ciências Agrárias e Veterinárias; Luis Orlando Duitama Carreño, Universidade Estadual Paulista - Unesp/Faculdade de Ciências Agrárias e Veterinárias; Ricardo da Fonseca, Universidade Estadual Paulista - Unesp/Faculdade de Ciências Agrárias e Tecnológicas; Stephen Stewart Moore, The University of Queensland, Queensland Alliance for Agriculture and Food Innovation/Centre for Animal Science/Queensland Bioscience Precint.	
Título: 	Accuracy of genomic selection predictions for hip height in Brahman cattle using different relationship matrices.	
Ano de publicação: 	2018	
Fonte/Imprenta: 	Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 6, p. 717-726, June, 2018.	
Idioma: 	Inglês	
Notas: 	Título em português: Acurácia da predição genômica para altura do quadril em bovinos Brahman com uso de diferentes matrizes de parentesco.	
Conteúdo: 	The objective of this work was to evaluate the effects of genomic information on the genetic evaluation of hip height in Brahman cattle using different matrices built from genomic and pedigree data. Hip height measurements from 1,695 animals, genotyped with high-density SNP chip or imputed from 50 K high-density SNP chip, were used. The numerator relationship matrix (NRM) was compared with the H matrix, which incorporated the NRM and genomic relationship (G) matrix simultaneously. The genotypes were used to estimate three versions of G: observed allele frequency (HGOF), average minor allele frequency (HGMF), and frequency of 0.5 for all markers (HG50). For matrix comparisons, animal data were either used in full or divided into calibration (80% older animals) and validation (20% younger animals) datasets. The accuracy values for the NRM, HGOF, and HG50 were 0.776, 0.813, and 0.594, respectively. The NRM and HGOF showed similar minor variances for diagonal and off-diagonal elements, as well as for estimated breeding values. The use of genomic information resulted in relationship estimates similar to those obtained based on pedigree; however, HGOF is the best option for estimating the genomic relationship matrix and results in a higher prediction accuracy. The ranking of the top 20% animals was very similar for all matrices, but the ranking within them varies depending on the method used.	
Palavras-Chave: 	Alelo raro; Genômica.	
Thesagro: 	Bos Indicus; Gado de Corte.	
Thesaurus Nal: 	Beef cattle; Genomics; Zebu.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/181931/1/Accuracy-of-genomic-selection-predictions-for-hip.pdf	
Registro original: 	Embrapa Unidades Centrais (AI-SEDE)	
Exemplares: 	AI-SEDE - (62937-1) - UPE - AP - DD -  -  -  - DIS