Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorMokry, Fabiana Barichello-
Autor(es): dc.creatorHiga, Roberto Hiroshi-
Autor(es): dc.creatorMudadu, Maurício de Alvarenga-
Autor(es): dc.creatorLima, Andressa Oliveira de-
Autor(es): dc.creatorMeirelles, Sarah Laguna Conceição-
Autor(es): dc.creatorSilva, Marcos Vinicius Gualberto Barbosa da-
Autor(es): dc.creatorCardoso, Fernando Flores-
Autor(es): dc.creatorOliveira, Maurício Morgado de-
Autor(es): dc.creatorUrbinati, Ismael-
Autor(es): dc.creatorNiciura, Simone Cristina Méo-
Autor(es): dc.creatorTullio, Rymer Ramiz-
Autor(es): dc.creatorAlencar, Maurício Mello de-
Autor(es): dc.creatorRegitano, Luciana Correia de Almeida-
Data de aceite: dc.date.accessioned2026-02-09T12:13:33Z-
Data de disponibilização: dc.date.available2026-02-09T12:13:33Z-
Data de envio: dc.date.issued2020-07-13-
Data de envio: dc.date.issued2020-07-13-
Data de envio: dc.date.issued2013-06-05-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br//handle/1/41906-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1156990-
Descrição: dc.descriptionBackground: 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.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherBioMed Central (BMC)-
Direitos: dc.rightsacesso aberto-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
???dc.source???: dc.sourceBMC Genetics-
Palavras-chave: dc.subjectBovine-
Palavras-chave: dc.subjectLipid metabolism-
Palavras-chave: dc.subjectMachine learning-
Palavras-chave: dc.subjectSingle nucleotide polymorphism (SNP)-
Palavras-chave: dc.subjectSubcutaneous fat-
Palavras-chave: dc.subjectTropical composite cattle-
Título: dc.titleGenome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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