Title:	Genome-wide association study for backfat thickness in Canchim beef cattle using Random Forest approach.
Authors:	MOKRY, F. B. HIGA, R. H. MUDADU, M. de A. LIMA, A. O. de MEIRELLES, S. L. C. SILVA, M. V. G. B. CARDOSO, F. F. OLIVEIRA, M. M. de URBINATI, I. NICIURA, S. C. M. TULLIO, R. R. ALENCAR, M. M. de REGITANO, L. C. de A.
Affiliation:	FABIANA BARICHELLO MOKRY, UFSCAR; ROBERTO HIROSHI HIGA, CNPTIA; MAURICIO DE ALVARENGA MUDADU, CPPSE; ANDRESSA OLIVEIRA DE LIMA, UFSCAR; SARAH LAGUNA CONCEIÇÃO MEIRELLES, UFLA; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; FERNANDO FLORES CARDOSO, CPPSUL; MAURÍCIO MORGADO DE OLIVEIRA, Embrapa Southern Region Animal Husbandry; ISMAEL URBINATI, USP; SIMONE CRISTINA MEO NICIURA, CPPSE; RYMER RAMIZ TULLIO, CPPSE; MAURICIO MELLO DE ALENCAR, CPPSE; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE.
Date Issued:	2013
Citation:	BMC Genetics, London v. 14, n. 47, 2013.
Pages:	11 p.
Description:	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.
Thesagro:	Bovino
NAL Thesaurus:	lipid metabolism subcutaneous fat
Keywords:	Machine learning Tropical composition cattle
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CPPSE)