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dc.contributor.authorMUDADU, M. de A.
dc.contributor.authorPORTO NETO, L. R.
dc.contributor.authorMOKRY, F. B.
dc.contributor.authorTIZIOTO, P. C.
dc.contributor.authorOLIVEIRA, P. S. N. de
dc.contributor.authorTULLIO, R. R.
dc.contributor.authorNASSU, R. T.
dc.contributor.authorNICIURA, S. C. M.
dc.contributor.authorTHOLON, P.
dc.contributor.authorALENCAR, M. M. de
dc.contributor.authorHIGA, R. H.
dc.contributor.authorROSA, A. do N.
dc.contributor.authorFEIJO, G. L. D.
dc.contributor.authorFERRAZ, A. L. J.
dc.contributor.authorSILVA, L. O. C. da
dc.contributor.authorMEDEIROS, S. R. de
dc.contributor.authorLANNA, D. P. D.
dc.contributor.authorNASCIMENTO, M. L. do
dc.contributor.authorCHAVES, A. S.
dc.contributor.authorSOUZA, A. R. D. L.
dc.contributor.authorPACKER, I. U.
dc.contributor.authorTORRES JUNIOR, R. A. de A.
dc.contributor.authorSIQUEIRA, F.
dc.contributor.authorMOURAO, G. B.
dc.contributor.authorCOUTINHO, L. L.
dc.contributor.authorREVERTER, A.
dc.contributor.authorREGITANO, L. C. de A.
dc.contributor.otherMAURICIO DE ALVARENGA MUDADU, CNPTIA; Laercio Ribeiro Porto Neto, Commonwealth Scientific and Industrial Research Organization - Agriculture; Fabiana Barichello Mokry, UFSCar; Polyana Cristine Tizioto, UFSCar; Priscila Silva Neubern de Oliveira, UFSCar; RYMER RAMIZ TULLIO, CPPSE; RENATA TIEKO NASSU, CPPSE; SIMONE CRISTINA MEO NICIURA, CPPSE; PATRICIA THOLON, CPPSE; MAURICIO MELLO DE ALENCAR, CPPSE; ROBERTO HIROSHI HIGA, CNPTIA; ANTONIO DO NASCIMENTO FERREIRA ROSA, CNPGC; GELSON LUIS DIAS FEIJO, CNPGC; André Luiz Julien Ferraz, UEMS; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC; SERGIO RAPOSO DE MEDEIROS, CNPGC; Dante Pazzanese Duarte Lanna, USP; Michele Lopes do Nascimento, USP; Amália Saturnino Chaves, USP; Andréa Roberto Duarte Lopes Souza, USP; Irineu Umberto Packer, USP; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; FABIANE SIQUEIRA, CNPGC; Gerson Barreto Mourão, USP; Luiz Lehmann Coutinho, USP; Antonio Reverter, Commonwealth Scientific and Industrial Research Organization - Agriculture; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE.
dc.descriptionNelore is the major beef cattle breed in Brazil with more than 130 million heads. Genome-wide association studies (GWAS) are often used to associate markers and genomic regions to growth and meat quality traits that can be used to assist selection programs. An alternative methodology to traditional GWAS that involves the construction of gene network interactions, derived from results of several GWAS is the AWM (Association Weight Matrices)/PCIT (Partial Correlation and Information Theory). With the aim of evaluating the genetic architecture of Brazilian Nelore cattle, we used high-density SNP genotyping data (~770,000 SNP) from 780 Nelore animals comprising 34 half-sibling families derived from highly disseminated and unrelated sires from across Brazil. The AWM/PCIT methodology was employed to evaluate the genes that participate in a series of eight phenotypes related to growth and meat quality obtained from this Nelore sample.
dc.publisherBMC Genomics, v. 17, n. 235, p. 1-16, 2016.
dc.relation.ispartofEmbrapa Pecuária Sudeste - Artigo em periódico indexado (ALICE)
dc.titleGenomic structure and marker-derived gene networks for growth and meat quality traits of brazilian nelore beef cattle.
dc.typeArtigo em periódico indexado (ALICE)
Appears in Collections:Artigo em periódico indexado (CPPSE)

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