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| SOMAVILLA, A. L.; REGITANO, L. C. de A.; ROSA, G. J. M.; MOKRY, F. B.; MUDADU, M. de A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; SOUZA, M. M. de; COUTINHO, L. L.; MUNARI, D. P.. |
| Nelore is the most economically important cattle breed in Brazil, and the use of genetically improved animals has contributed to increase beef production efficiency. The Brazilian beef feedlot industry has grown considerably in the last decade, so the selection of animals with higher growth rates on feedlot has become quite important. Genomic selection could be used to reduce generation intervals and improve the rate of genetic gains. The aim of this study was to evaluate the prediction of genomic estimated breeding values for average daily gain in 718 feedlot-finished Nelore steers. Analyses of three Bayesian model specifications (Bayesian GBLUP, BayesA, and BayesCπ) were performed with four genotype panels (Illumina BovineHD BeadChip, TagSNPs,... |
| Tipo: Artigo de periódico |
Palavras-chave: Genomic selection; Bos taurus indicus; Growth. |
| Ano: 2017 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1070097 |
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| STEIBEL, J. P.; BATES, R. O.; ROSA, G. J. M.; TEMPELMAN, R. J.; RILINGTON, V. D.; RAGAVENDRAM, A.; RANEY, N. E.; RAMOS, A. M.; CARDOSO, F. F.; EDWARDS, D. B.; ERNST, C. W.. |
| Tipo: Parte de livro |
Palavras-chave: Suíno. |
| Ano: 2010 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/880578 |
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| STEIBEL, J. P.; BATES, R. O.; ROSA, G. J. M.; TEMPELMAN, R. J.; RILINGTON, V. D.; RAGAVENDRAN, A.; RANEY, NANCY E.; RAMOS, A. M.; CARDOSO, F. F.; EDWARDS, D. B.; ERNST, C. W.. |
| Background: Nearly 6,000 QTL have been reported for 588 different traits in pigs, more than in any other livestock species. However, this effort has translated into only a few confirmed causative variants. A powerful strategy for revealing candidate genes involves expression QTL (eQTL) mapping, where the mRNA abundance of a set of transcripts is used as the response variable for a QTL scan. Methodology/Principal Findings: We utilized a whole genome expression microarray and an F2 pig resource population to conduct a global eQTL analysis in loin muscle tissue, and compared results to previously inferred phenotypic QTL (pQTL) from the same experimental cross. We found 62 unique eQTL (FDR ,10%) and identified 3 gene networks enriched with genes subject to... |
| Tipo: Artigo de periódico |
Palavras-chave: Suíno; Genética. |
| Ano: 2011 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/888216 |
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| LOPES, F. B.; MAGNABOSCO, C. de U.; PASSAFARO, T. L.; BRUNES, L. C.; COSTA, M. F. O. e; EIFERT, E. da C.; NARCISO, M. G.; ROSA, G. J. M.; LOBO, R. B.; BALDI, F.. |
| The goal of this study was to compare the predictive performance of artificial neural networks (ANNs) with Bayesian ridge regression, Bayesian Lasso, Bayes A, Bayes B and Bayes Cπ in estimating genomic breeding values for meat tenderness in Nellore cattle. The animals were genotyped with the Illumina Bovine HD Bead Chip (HD, 777K from 90 samples) and the GeneSeek Genomic Profiler (GGP Indicus HD, 77K from 485 samples). The quality control for the genotypes was applied on each Chip and comprised removal of SNPs located on non‐autosomal chromosomes, with minor allele frequency <5%, deviation from HWE (p < 10?6), and with linkage disequilibrium >0.8. The FImpute program was used for genotype imputation. Pedigree‐based... |
| Tipo: Artigo de periódico |
Palavras-chave: Maciez da carne; Carne macia; Carne; Gado de Corte. |
| Ano: 2020 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131678 |
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