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Registro Completo |
Biblioteca(s): |
Embrapa Hortaliças. |
Data corrente: |
06/01/2004 |
Data da última atualização: |
06/01/2004 |
Autoria: |
BEZERRA NETO, F.; ANDRADE, F. V.; NEGREIROS, M. Z. de; SANTOS JÚNIOR, J. J. dos. |
Título: |
Desempenho agroeconômico do consórcio cenoura x alface lisa em dois sistemas de cultivo em faixa. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Horticultura Brasileira, Brasília, v. 21, n. 4, p. 635-641, out./dez. 2003. |
Idioma: |
Português |
Palavras-Chave: |
Consorciação. |
Thesagro: |
Alface; Cenoura; Competição de Variedade; Cultivo em Faixa; Daucus Carota; Lactuca Sativa. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00708naa a2200229 a 4500 001 1775106 005 2004-01-06 008 2003 bl uuuu u00u1 u #d 100 1 $aBEZERRA NETO, F. 245 $aDesempenho agroeconômico do consórcio cenoura x alface lisa em dois sistemas de cultivo em faixa. 260 $c2003 650 $aAlface 650 $aCenoura 650 $aCompetição de Variedade 650 $aCultivo em Faixa 650 $aDaucus Carota 650 $aLactuca Sativa 653 $aConsorciação 700 1 $aANDRADE, F. V. 700 1 $aNEGREIROS, M. Z. de 700 1 $aSANTOS JÚNIOR, J. J. dos 773 $tHorticultura Brasileira, Brasília$gv. 21, n. 4, p. 635-641, out./dez. 2003.
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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
21/03/2014 |
Data da última atualização: |
18/02/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
SILVA, F. F. e; RESENDE, M. D. V. de; ROCHA, G. S.; DUARTE, D. A. S.; LOPES, P. S.; BRUSTOLIN, O. J. B.; THUS, S.; VIANA, J. M. S.; GUIMARÃES, S. E. F. |
Afiliação: |
FABIANO FONSECA E SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; GILSON SILVÉRIO ROCHA, UVF; DARLENE ANA S. DUARTE, UFV; PAULO SÁVIO LOPES, UFV; OTÁVIO J. B. BRUSTOLIN, UFV; SANDER THUS, WAGENINGEN UNIVERSITY; JOSÉ MARCELO S. VIANA, UFV; SIMONE E. F. GUIMARÃES, UFV. |
Título: |
Genomic growth curves of an outbred pig population. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Genetics and Molecular Biology, v. 36, n. 4, p. 520-527, 2013. |
Idioma: |
Inglês |
Conteúdo: |
In the current post-genomic era, the genetic basis of pig growth can be understood by assessing SNP marker effects and genomic breeding values (GEBV) based on estimates of these growth curve parameters as phenotypes. Although various statistical methods, such as random regression (RR-BLUP) and Bayesian LASSO (BL), have been applied to genomic selection (GS), none of these has yet been used in a growth curve approach. In this work, we compared the accuracies of RR-BLUP and BL using empirical weight-age data from an outbred F2 (Brazilian Piau X commercial) population. The phenotypes were determined by parameter estimates using a nonlinear logistic regression model and the halothane gene was considered as a marker for evaluating the assumptions of the GS methods in relation to the genetic variation explained by each locus. BL yielded more accurate values for all of the phenotypes evaluated and was used to estimate SNP effects and GEBV vectors. The latter allowed the construction of genomic growth curves, which showed substantial genetic discrimination among animals in the final growth phase. The SNP effect estimates allowed identification of the most relevant markers for each phenotype, the positions of which were coincident with reported QTL regions for growth traits. |
Palavras-Chave: |
Melhoramento genético. |
Thesagro: |
Curva de Crescimento; Porco. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/99868/1/2013-API-GenomicGrowth.pdf
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Marc: |
LEADER 02003naa a2200253 a 4500 001 1983083 005 2015-02-18 008 2013 bl uuuu u00u1 u #d 100 1 $aSILVA, F. F. e 245 $aGenomic growth curves of an outbred pig population.$h[electronic resource] 260 $c2013 520 $aIn the current post-genomic era, the genetic basis of pig growth can be understood by assessing SNP marker effects and genomic breeding values (GEBV) based on estimates of these growth curve parameters as phenotypes. Although various statistical methods, such as random regression (RR-BLUP) and Bayesian LASSO (BL), have been applied to genomic selection (GS), none of these has yet been used in a growth curve approach. In this work, we compared the accuracies of RR-BLUP and BL using empirical weight-age data from an outbred F2 (Brazilian Piau X commercial) population. The phenotypes were determined by parameter estimates using a nonlinear logistic regression model and the halothane gene was considered as a marker for evaluating the assumptions of the GS methods in relation to the genetic variation explained by each locus. BL yielded more accurate values for all of the phenotypes evaluated and was used to estimate SNP effects and GEBV vectors. The latter allowed the construction of genomic growth curves, which showed substantial genetic discrimination among animals in the final growth phase. The SNP effect estimates allowed identification of the most relevant markers for each phenotype, the positions of which were coincident with reported QTL regions for growth traits. 650 $aCurva de Crescimento 650 $aPorco 653 $aMelhoramento genético 700 1 $aRESENDE, M. D. V. de 700 1 $aROCHA, G. S. 700 1 $aDUARTE, D. A. S. 700 1 $aLOPES, P. S. 700 1 $aBRUSTOLIN, O. J. B. 700 1 $aTHUS, S. 700 1 $aVIANA, J. M. S. 700 1 $aGUIMARÃES, S. E. F. 773 $tGenetics and Molecular Biology$gv. 36, n. 4, p. 520-527, 2013.
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