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Braga Feitosa, Fabieli Loise ^[1] ; Cravo Pereira, Angelica Simone ^[2] ; Amorim, Sabrina Thaise ^[1] ; Peripolli, Elisa ^[1] ; de Oliveira Silva, Rafael Medeiros ^[3] ; Braz, Camila Urbano ^[1] ; Ferrinho, Adrielle Matias ^[2] ; Schenkel, Flavio Schramm ^[4] ; Brito, Luiz Fernando ^[4] ; Espigolan, Rafael ^[5] ; de Albuquerque, Lucia Galvao ^[1] ; Baldi, Fernando ^[1]

Afiliação do(s) autor(es)

^[1] Univ Estadual Paulista, Fac Ciencias Agr & Vet, Dept Zootecnia, BR-14884900 Jaboticabal - Brazil

^[2] Univ Sao Paulo, Fac Zootecnia & Engn Alimentos, Dept Nutr & Prod Anim, Pirassununga - Brazil

^[3] Zoetis, Kalamazoo, MI - USA

^[4] Purdue Univ, Dept Anim Sci, W Lafayette, IN 47907 - USA

^[5] Univ Sao Paulo, Fac Zootecnia & Engn Alimentos, Dept Med Vet, Pirassununga - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF ANIMAL BREEDING AND GENETICS; v. 137, n. 5, p. 468-476, SEP 2020.
• Citações Web of Science: 2

Resumo

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. (AU)

• Processo FAPESP: 09/16118-5 - Ferramentas genômicas no melhoramento genético de características de importância econômica direta em bovinos da raça Nelore
• Beneficiário: Lucia Galvão de Albuquerque
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 16/24085-3 - Seleção genômica e vias metabólicas associadas com o perfil de ácidos graxos da carne utilizando haplótipos em bovinos da raça Nelore
• Beneficiário: Fabieli Loise Braga Feitosa
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
• Processo FAPESP: 15/25304-8 - Associação e seleção genômica para perfil de ácidos graxos utilizando haplótipos como marcadores em bovinos nelore
• Beneficiário: Fabieli Loise Braga Feitosa
• Modalidade de apoio: Bolsas no Brasil - Doutorado