Data/hora: 23/06/2024 01:57:40

Biblioteca(s): | Embrapa Agricultura Digital; Embrapa Gado de Corte.
Data corrente: | 04/01/2017
Data da última atualização: | 17/01/2017
Autoria: | MUDADU, M. de A.; PORTO-NETO, L. R.; MOKRY, F. B.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; TULLIO, R. R.; NASSU, R. T.; NICIURA, S. C. M.; THOLON, P.; ALENCAR, M. M. de; HIGA, R. H.; ROSA, A. do N.; FEIJO, G. L. D.; FERRAZ, A. L. J.; SILVA, L. O. C. da; MEDEIROS, S. R. de; LANNA, D. P.; NASCIMENTO, M. L.; CHAVES, A. S.; SOUZA, A. R. D. L.; PACKER, I. U.; TORRES JUNIOR, R. A. de A.; SIQUEIRA, F.; MOURÃO, G. B.; COUTINHO, L. L.; REVERTER, A.; REGITANO, L. C. de A.
Afiliação: | MAURICIO DE ALVARENGA MUDADU, CNPTIA; LAERCIO R. PORTO-NETO, Commonwealth Scientific and Industrial Research Organization - Agriculture; FABIANA B. MOKRY, UFSCar; POLYANA C. TIZIOTO, UFSCar; PRISCILA S. N. 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 L. J. FERRAZ, UEMS; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC; SERGIO RAPOSO DE MEDEIROS, CNPGC; DANTE P. LANNA, USP; MICHELE L. NASCIMENTO, USP; AMÁLIA S. CHAVES, USP; ANDREA R. D. L. SOUZA, UFMS; IRINEU U. PACKER, USP; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; FABIANE SIQUEIRA, CNPGC; GERSON B. MOURÃO, USP; LUIZ L. COUTINHO, USP; ANTONIO REVERTER, Commonwealth Scientific and Industrial Research Organization - Agriculture; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE.
Título: | Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle.
Ano de publicação: | 2016
Fonte/Imprenta: | BMC Genomics, London, v. 17, p. 1-16, Mar. 2016.
DOI: | 10.1186/s12864-016-2535-3
Idioma: | Inglês
Conteúdo: | Nelore 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.
Palavras-Chave: | Association Weight Matrices; Genome-wide association studies; Partial Correlation and Information Theory.
Thesagro: | Gado de corte; Gado Nelore; Gene; Genética; Genótipo.
Thesaurus Nal: | Beef cattle; Genetic resources; Genotype; Genotyping; Nellore.

Categoria do assunto:

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X Pesquisa, Tecnologia e Engenharia

URL:

http://ainfo.cnptia.embrapa.br/digital/bitstream/item/152737/1/genomic.pdf
http://ainfo.cnptia.embrapa.br/digital/bitstream/item/156952/1/Genomic-structure-and-marker-derived.pdf

Registro original: | Embrapa Agricultura Digital (CNPTIA)

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