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dc.contributor.authorMokry, Fabiana Barichello-
dc.contributor.authorHiga, Roberto Hiroshi-
dc.contributor.authorde Alvarenga Mudadu, Maurício-
dc.contributor.authorOliveira de Lima, Andressa-
dc.contributor.authorMeirelles, Sarah Laguna Conceição-
dc.contributor.authorBarbosa da Silva, Marcos Vinicius Gualberto-
dc.contributor.authorCardoso, Fernando Flores-
dc.contributor.authorMorgado de Oliveira, Maurício-
dc.contributor.authorUrbinati, Ismael-
dc.contributor.authorMéo Niciura, Simone Cristina-
dc.contributor.authorTullio, Rymer Ramiz-
dc.contributor.authorMello de Alencar, Maurício-
dc.contributor.authorCorreia de Almeida Regitano, Luciana-
dc.identifier.citationBMC Genetics, v. 14.-
dc.description.abstractBackground: Meat quality involves many traits, such as marbling, tenderness, juiciness, and backfat thickness, all of which require attention from livestock producers. Backfat thickness improvement by means of traditional selection techniques in Canchim beef cattle has been challenging due to its low heritability, and it is measured late in an animal's life. Therefore, the implementation of new methodologies for identification of single nucleotide polymorphisms (SNPs) linked to backfat thickness are an important strategy for genetic improvement of carcass and meat quality.Results: The set of SNPs identified by the random forest approach explained as much as 50% of the deregressed estimated breeding value (dEBV) variance associated with backfat thickness, and a small set of 5 SNPs were able to explain 34% of the dEBV for backfat thickness. Several quantitative trait loci (QTL) for fat-related traits were found in the surrounding areas of the SNPs, as well as many genes with roles in lipid metabolism.Conclusions: These results provided a better understanding of the backfat deposition and regulation pathways, and can be considered a starting point for future implementation of a genomic selection program for backfat thickness in Canchim beef cattle. © 2013 Mokry et al.; licensee BioMed Central Ltd.en
dc.subjectLipid metabolism-
dc.subjectMachine learning-
dc.subjectSingle nucleotide polymorphism (SNP)-
dc.subjectSubcutaneous fat-
dc.subjectTropical composite cattle-
dc.subjectanimal experiment-
dc.subjectbackfat thickness-
dc.subjectbeef cattle-
dc.subjectcontrolled study-
dc.subjectderegressed estimated breeding value-
dc.subjectfat mass-
dc.subjectfood quality-
dc.subjectgenetic analysis-
dc.subjectgenetic association-
dc.subjectlipid metabolism-
dc.subjectquantitative trait locus-
dc.subjectrandom forest-
dc.subjectsingle nucleotide polymorphism-
dc.subjectsubcutaneous fat-
dc.titleGenome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approachen
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)-
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)-
dc.contributor.institutionFederal University of Lavras-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDepartment of Genetics and Evolution Federal University of São Carlos, Rodovia Washington Luiz, km 235, Po Box 676, 13565-905 São Carlos-
dc.description.affiliationEmbrapa Agricultural Informatics, Avenida André Tosello, 209, Po Box 6041, 13083-886 Campinas-
dc.description.affiliationEmbrapa Southeast Livestock, Rodovia Washington Luiz, km 234 PO BOX 339, 13560-970 São Carlos-
dc.description.affiliationDepartment of Animal Science Federal University of Lavras, Po Box 3037, 37200-00 Lavras-
dc.description.affiliationEmbrapa Dairy Cattle, Rua Eugênio do Nascimento, 610, 36038-330 Juiz de Fora-
dc.description.affiliationEmbrapa Southern Region Animal Husbandry, BR 153, km 603, PO BOX 242, 96401-970 Bagé-
dc.description.affiliationDepartment of Exact Science São Paulo State University, Po Box 53453, 14884-900 Jaboticabal-
dc.description.affiliationUnespDepartment of Exact Science São Paulo State University, Po Box 53453, 14884-900 Jaboticabal-
dc.rights.accessRightsAcesso aberto-
dc.relation.ispartofBMC Genetics-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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