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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
21/06/2016 |
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Data da última atualização: |
21/06/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, F. R. F.; NASCIMENTO, M.; NASCIMENTO, A. C. C.; SILVA, F. F. e; CRUZ, C. D.; AZEVEDO, C. F.; PAIXÃO, D. M.; BARROSO, L. M. A.; VERARDO, L. L.; RESENDE, M. D. V. de; GUIMARÃES, S. E. F.; LOPES, P. S. |
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Afiliação: |
F. R. F. Teixeira, UFV; M. Nascimento, UFV; A. C. C. Nascimento, UFV; F. F. e Silva, UFV; C. D. Cruz, UFV; C. F. Azevedo, UFV; D. M. Paixão, UFV; L. M. A. Barroso, UFV; L. L. Verardo, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; S. E. F. Guimarães, UFV; P. S. Lopes, UFV. |
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Título: |
Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 2, 2016. 10 p. |
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DOI: |
http://dx.doi.org/10.4238/gmr.15028231 |
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Idioma: |
Inglês |
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Conteúdo: |
The aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four biologically interpretable factors: ?weight?, ?fat?, ?loin?, and ?performance?. These factors were used as dependent variables in multiple regression models of genomic selection (Bayes A, Bayes B, RR-BLUP, and Bayesian LASSO). The use of FA is presented as an interesting alternative to select individuals for multiple variables simultaneously in GWS studies; accuracy measurements of the factors were similar to those obtained when the original traits were considered individually. The similarities between the top 10% of individuals selected by the factor, and those selected by the individual traits, were also satisfactory. Moreover, the estimated markers effects for the traits were similar to those found for the relevant factor. |
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Palavras-Chave: |
Análise multivariada; Genome enabled prediction; SNP effects. |
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Thesagro: |
Estatística; Melhoramento genético animal; Seleção genética. |
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Thesaurus Nal: |
Animal breeding; Multivariate analysis. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144605/1/2016-M.Deon-GMR-FactorAnalysis.pdf
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Marc: |
LEADER 02251naa a2200361 a 4500
001 2047516
005 2016-06-21
008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr.15028231$2DOI
100 1 $aTEIXEIRA, F. R. F.
245 $aFactor analysis applied to genome prediction for high-dimensional phenotypes in pigs.$h[electronic resource]
260 $c2016
520 $aThe aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four biologically interpretable factors: ?weight?, ?fat?, ?loin?, and ?performance?. These factors were used as dependent variables in multiple regression models of genomic selection (Bayes A, Bayes B, RR-BLUP, and Bayesian LASSO). The use of FA is presented as an interesting alternative to select individuals for multiple variables simultaneously in GWS studies; accuracy measurements of the factors were similar to those obtained when the original traits were considered individually. The similarities between the top 10% of individuals selected by the factor, and those selected by the individual traits, were also satisfactory. Moreover, the estimated markers effects for the traits were similar to those found for the relevant factor.
650 $aAnimal breeding
650 $aMultivariate analysis
650 $aEstatística
650 $aMelhoramento genético animal
650 $aSeleção genética
653 $aAnálise multivariada
653 $aGenome enabled prediction
653 $aSNP effects
700 1 $aNASCIMENTO, M.
700 1 $aNASCIMENTO, A. C. C.
700 1 $aSILVA, F. F. e
700 1 $aCRUZ, C. D.
700 1 $aAZEVEDO, C. F.
700 1 $aPAIXÃO, D. M.
700 1 $aBARROSO, L. M. A.
700 1 $aVERARDO, L. L.
700 1 $aRESENDE, M. D. V. de
700 1 $aGUIMARÃES, S. E. F.
700 1 $aLOPES, P. S.
773 $tGenetics and Molecular Research$gv. 15, n. 2, 2016. 10 p.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
09/01/2019 |
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Data da última atualização: |
03/05/2019 |
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Tipo da produção científica: |
Artigo de Divulgação na Mídia |
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Autoria: |
CASTRO, G. S. A.; CARVALHO, C. A. de; MAGALHÃES, L. A.; OSHIRO, O. T.; MARTINHO, P. R. R.; DALTIO, J.; FONSECA, M. F.; MIRANDA, E. E. de. |
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Afiliação: |
GUSTAVO SPADOTTI AMARAL CASTRO, CNPM; CARLOS ALBERTO DE CARVALHO, CNPM; LUCIOLA ALVES MAGALHAES, CNPM; OSVALDO TADATOMO OSHIRO, CNPM; PAULO ROBERTO RODRIGUES MARTINHO, CNPM; JAUDETE DALTIO, CNPM; MARCELO FERNANDO FONSECA, CNPM; EVARISTO EDUARDO DE MIRANDA, CNPM. |
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Título: |
Agriculture and environmental preservation: first results of an unparalleled analysis in Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
SEED News International seed magazine, v. 22, special edition, p. 08-13, 2018. |
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Idioma: |
Português |
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Palavras-Chave: |
Land allocation; Land occupation; Land usage. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190153/1/5022.pdf
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Marc: |
LEADER 00679nam a2200217 a 4500
001 2103476
005 2019-05-03
008 2018 bl uuuu u00u1 u #d
100 1 $aCASTRO, G. S. A.
245 $aAgriculture and environmental preservation$bfirst results of an unparalleled analysis in Brazil.
260 $aSEED News International seed magazine, v. 22, special edition, p. 08-13$c2018
653 $aLand allocation
653 $aLand occupation
653 $aLand usage
700 1 $aCARVALHO, C. A. de
700 1 $aMAGALHÃES, L. A.
700 1 $aOSHIRO, O. T.
700 1 $aMARTINHO, P. R. R.
700 1 $aDALTIO, J.
700 1 $aFONSECA, M. F.
700 1 $aMIRANDA, E. E. de
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Embrapa Territorial (CNPM) |
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