Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/977539
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dc.contributor.authorMOKRY, F. B.pt_BR
dc.contributor.authorHIGA, R. H.pt_BR
dc.contributor.authorMUDADU, M. de A.pt_BR
dc.contributor.authorLIMA, A. O. dept_BR
dc.contributor.authorMEIRELLES, S. L. C.pt_BR
dc.contributor.authorSILVA, M. V. G. B. dapt_BR
dc.contributor.authorCARDOSO, F. F.pt_BR
dc.contributor.authorOLIVEIRA, M. M. dept_BR
dc.contributor.authorURBINATI, I.pt_BR
dc.contributor.authorNICIURA, S. C. M.pt_BR
dc.contributor.authorTULLIO, R. R.pt_BR
dc.contributor.authorALENCAR, M. M. dept_BR
dc.contributor.authorREGITANO, L. C. de A.pt_BR
dc.contributor.otherFABIANA BARICHELLO MOKRY, UFSCar; ROBERTO HIROSHI HIGA, CNPTIA; MAURÍCIO DE ALVARENGA MUDADU, CPPSE; ANDRESSA OLIVEIRA DE LIMA, UFSCar; SARAH LAGUNA CONCEIÇÃO MEIRELLES, UFV; MARCOS VINICIUS GUALBERTO BARBOSA DA SILVA, CNPGL; FERNANDO FLORES CARDOSO, CPPSUL; MAURÍCIO MORGADO DE OLIVEIRA, CPPSUL; ISMAEL URBINATI, Unesp; SIMONE CRISTINA MÉO NICIURA, CPPSE; RYMER RAMIZ TULLIO, CPPSE; MAURÍCIO MELLO DE ALENCAR, CPPSE; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE.pt_BR
dc.date.accessioned2014-01-27T11:11:11Zpt_BR
dc.date.available2014-01-27T11:11:11Zpt_BR
dc.date.created2014-01-27pt_BR
dc.date.issued2013pt_BR
dc.identifier.other17753pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/977539pt_BR
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.pt_BR
dc.description.uribitstream/item/95880/1/Mokry-et-al.-2013-BMC-Genetics-14-47.pdfpt_BR
dc.languageenpt_BR
dc.language.isoengeng
dc.publisherBMC Genetics, London v. 14, n. 47, 2013.pt_BR
dc.relation.ispartofEmbrapa Informática Agropecuária - Artigo em periódico indexado (ALICE)pt_BR
dc.subjectPolimorfismo de nucleotídeo únicopt_BR
dc.subjectMetabolismo lipídicopt_BR
dc.subjectAprendizado de máquinapt_BR
dc.subjectInteligência artificialpt_BR
dc.subjectMachine learningpt_BR
dc.subjectTecido adiposo subcutâneo.pt_BR
dc.titleGenome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach.pt_BR
dc.typeArtigo em periódico indexado (ALICE)pt_BR
dc.date.updated2014-01-27T11:11:11Zpt_BR
dc.subject.thesagroGado de Corte.pt_BR
dc.subject.nalthesaurusSingle nucleotide polymorphismpt_BR
dc.subject.nalthesaurusBeef cattlept_BR
dc.subject.nalthesaurusLipid metabolismpt_BR
dc.subject.nalthesaurusArtificial intelligencept_BR
dc.subject.nalthesaurusSubcutaneous fatpt_BR
dc.format.extent211 p.pt_BR
dc.ainfo.id977539pt_BR
dc.ainfo.lastupdate2014-01-27pt_BR
Appears in Collections:Artigo em periódico indexado (CNPTIA)

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