Genomic prediction for beef fatty acid profile in Nellore cattle
| Autor: | Rafael Medeiros de Oliveira Silva, Lenise Freitas Mueller, Mariana Piatto Berton, Rafael Lara Tonussi, Rafael Espigolan, Daniel Gustavo Mansan Gordo, Adrielle Matias Ferrinho, Bianca Ferreira Olivieri, F. L. B. Feitosa, Gerardo Alves Fernandes Júnior, Ana Fabrícia Braga Magalhães, Angélica Simone Cravo Pereira, Elisa Peripoli, Marcos Vinícius Antunes de Lemos, Humberto Tonhati, Joyce de Jesus Mangini Furlan, Fernando Baldi, Henrique Nunes de Oliveira, Lucia Galvão de Albuquerque, Carolyn Aboujaoude, Tiago Bresolin, Hermenegildo Lucas Justino Chiaia |
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| Přispěvatelé: | Universidade Estadual Paulista (Unesp), Universidade de São Paulo (USP) |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Longissimus thoracis muscle Male Meat Nellore cattle Muscle Proteins Bos indicus Context (language use) QUALIDADE DOS ALIMENTOS Biology Polymorphism Single Nucleotide Cross-validation Fatty Acids Monounsaturated 03 medical and health sciences Animal science Fatty Acids Omega-6 Fatty Acids Omega-3 SNP Animals Humans Meat quality Selection Genetic Muscle Skeletal chemistry.chemical_classification Genomic selection Models Genetic business.industry Fatty Acids 0402 animal and dairy science Fatty acid Bayes Theorem 04 agricultural and veterinary sciences Genomics 040201 dairy & animal science Biotechnology Lipid profile 030104 developmental biology chemistry Feedlot Feasibility Studies Cattle business Nutritive Value Brazil Polyunsaturated fatty acid Animals Inbred Strains Food Science |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| Popis: | Made available in DSpace on 2018-12-11T17:31:30Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-06-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) The objective of this study was to compare SNP-BLUP, BayesCπ, BayesC and Bayesian Lasso methodologies to predict the direct genomic value for saturated, monounsaturated, and polyunsaturated fatty acid profile, omega 3 and 6 in the Longissimus thoracis muscle of Nellore cattle finished in feedlot. A total of 963 Nellore bulls with phenotype for fatty acid profiles, were genotyped using the Illumina BovineHD BeadChip (Illumina, San Diego, CA) with 777,962 SNP. The predictive ability was evaluated using cross validation. To compare the methodologies, the correlation between DGV and pseudo-phenotypes was calculated. The accuracy varied from − 0.40 to 0.62. Our results indicate that none of the methods excelled in terms of accuracy, however, the SNP-BLUP method allows obtaining less biased genomic evaluations, thereby; this method is more feasible when taking into account the analyses' operating cost. Despite the lowest bias observed for EBV, the adjusted phenotype is the preferred pseudophenotype considering the genomic prediction accuracies regarding the context of the present study. Faculdade de Ciências Agrárias e Veterinárias UNESP Jaboticabal Faculdade de Medicina Veterinária e Zootecnia USP Pirassununga Faculdade de Zootecnia e Engenharia de Alimentos USP Pirassununga Faculdade de Ciências Agrárias e Veterinárias UNESP Jaboticabal FAPESP: #2009/16118-5 FAPESP: (#2011/2141-0 |
| Databáze: | OpenAIRE |
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