Autor(es):
Feitosa, Fabieli Loise Braga [UNESP] ; Pereira, Angélica Simone Cravo ; Amorim, Sabrina Thaise [UNESP] ; Peripolli, Elisa [UNESP] ; Silva, Rafael Medeiros de Oliveira ; Braz, Camila Urbano [UNESP] ; Ferrinho, Adrielle Matias ; Schenkel, Flavio Schramm ; Brito, Luiz Fernando ; Espigolan, Rafael ; de Albuquerque, Lucia Galvão [UNESP] ; Baldi, Fernando [UNESP]
Data: 2020
Identificador Persistente: http://hdl.handle.net/11449/199851
Origem: Oasisbr
Assunto(s): Bos taurus indicus; genetic markers; heritability; meat quality; ssGBLUP; Bos taurus indicus; Bos taurus indicus; genetic markers; genetic markers; heritability; heritability; meat quality; meat quality; ssGBLUP; ssGBLUP
Descrição
Made available in DSpace on 2020-12-12T01:51:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-09-01
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
The aim of this study was to evaluate the genomic predictions using the single-step genomic best linear unbiased predictor (ssGBLUP) method based on SNPs and haplotype markers associated with beef fatty acids (FAs) profile in Nelore cattle. The data set contained records from 963 Nelore bulls finished in feedlot (±90 days) and slaughtered with approximately 24 months of age. Meat samples from the Longissimus dorsi muscle were taken for FAs profile measurement. FAs were quantified by gas chromatography using a SP-2560 capillary column. Animals were genotyped with the high-density SNP panel (BovineHD BeadChip assay) containing 777,962 markers. SNPs with a minor allele frequency and a call rate lower than 0.05 and 0.90, respectively, monomorphic, located on sex chromosomes, and with unknown position were removed from the data set. After genomic quality control, a total of 469,981 SNPs and 892 samples were available for subsequent analyses. Missing genotypes were imputed and phased using the FImpute software. Haplotype blocks were defined based on linkage disequilibrium using the Haploview software. The model to estimate variance components and genetic parameters and to predict the genomic values included the random genetic additive effects, fixed effects of the contemporary group and the age at slaughter as a linear covariate. Accuracies using the haplotype-based approach ranged from 0.07 to 0.31, and those SNP-based ranged from 0.06 to 0.33. Regression coefficients ranged from 0.07 to 0.74 and from 0.08 to 1.45 using the haplotype- and SNP-based approaches, respectively. Despite the low to moderate accuracies for the genomic values, it is possible to obtain genetic progress trough selection using genomic information based either on SNPs or haplotype markers. The SNP-based approach allows less biased genomic evaluations, and it is more feasible when taking into account the computational and operational cost underlying the haplotypes inference.
Faculdade de Ciências Agrárias e Veterinárias Departamento de Zootecnia Universidade Estadual Paulista Júlio de Mesquita Filho UNESP
Faculdade de Zootecnia e Engenharia de Alimentos Departamento de Nutrição e Produção Animal Universidade de São Paulo
Zoetis
Department of Animal Sciences Purdue University
Faculdade de Zootecnia e Engenharia de Alimentos Departamento de Medicina Veterinária Universidade de São Paulo
Faculdade de Ciências Agrárias e Veterinárias Departamento de Zootecnia Universidade Estadual Paulista Júlio de Mesquita Filho UNESP
FAPESP: 2009/16118-5
FAPESP: 2015/25304-8
FAPESP: 2016/24085-3
