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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
19/12/2014 |
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Data da última atualização: |
19/12/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
AZEVEDO, C. F.; SILVA, F. F.; RESENDE, M. D. V. de; LOPES, M. S.; DUIJVESTEINJN, N.; GUIMARÃES, S. E. F.; LOPES, P. S.; KELLY, M. J.; VIANA, J. M. S.; KNOL, E. F. |
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Afiliação: |
C. F. AZEVEDO, UFV; F. F. SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; M. S. LOPES, TOPGS Research Center IPG; N. DUIJVESTEINJN, TOPGS Research Center IPG; S. E. F. GUIMARÃES, UFV; P. S. LOPES, UFV; M. J. KELLY, Queensland Alliance for Agriculture & Food Innovation; J. M. S. VIANA, UFV; E. F. KNOL, TOPGS Research Center IPG. |
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Título: |
Supervised independent component analysis as an alternative method for genomic selection in pigs. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Journal of Animal Breeding and Genetics, v. 131, p. 452-461, 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this work was to evaluate the efficiency of the supervised independent component regression (SICR) method for the estimation of genomic values and the SNP marker effects for boar taint and carcass traits in pigs. The methods were evaluated via the agreement between the predicted genetic values and the corrected phenotypes observed by cross-validation. These values were also compared with other methods generally used for the same purposes, such as RR-BLUP, SPCR, SPLS, ICR, PCR and PLS. The SICR method was found to have the most accurate prediction values. |
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Palavras-Chave: |
Melhoramento genético. |
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Thesagro: |
Porco. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01333naa a2200253 a 4500
001 2003330
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008 2014 bl uuuu u00u1 u #d
100 1 $aAZEVEDO, C. F.
245 $aSupervised independent component analysis as an alternative method for genomic selection in pigs.$h[electronic resource]
260 $c2014
520 $aThe objective of this work was to evaluate the efficiency of the supervised independent component regression (SICR) method for the estimation of genomic values and the SNP marker effects for boar taint and carcass traits in pigs. The methods were evaluated via the agreement between the predicted genetic values and the corrected phenotypes observed by cross-validation. These values were also compared with other methods generally used for the same purposes, such as RR-BLUP, SPCR, SPLS, ICR, PCR and PLS. The SICR method was found to have the most accurate prediction values.
650 $aPorco
653 $aMelhoramento genético
700 1 $aSILVA, F. F.
700 1 $aRESENDE, M. D. V. de
700 1 $aLOPES, M. S.
700 1 $aDUIJVESTEINJN, N.
700 1 $aGUIMARÃES, S. E. F.
700 1 $aLOPES, P. S.
700 1 $aKELLY, M. J.
700 1 $aVIANA, J. M. S.
700 1 $aKNOL, E. F.
773 $tJournal of Animal Breeding and Genetics$gv. 131, p. 452-461, 2014.
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Registro original: |
Embrapa Florestas (CNPF) |
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