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Registro Completo |
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Biblioteca(s): |
Ebooks. |
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Data corrente: |
16/06/2011 |
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Data da última atualização: |
16/06/2011 |
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Autoria: |
KELEMEN, A.; ABRAHAM, A.; CHEN, Y. |
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Afiliação: |
Arpad Kelemen; Ajith Abraham; Yuehui Chen. |
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Título: |
Computational Intelligence in Bioinformatics. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Springer eBooks. |
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Descrição Física: |
v.: digital |
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Série: |
Studies in Computational Intelligence,94 |
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ISBN: |
9783540768036 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Engineering mathematics. |
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Thesaurus Nal: |
artificial intelligence; bioinformatics; engineering. |
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Categoria do assunto: |
-- |
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URL: |
https://dx.doi.org/10.1007/978-3-540-76803-6
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Marc: |
LEADER 00708nam a2200229 a 4500
001 1892995
005 2011-06-16
008 2008 bl uuuu u0uu1 u #d
020 $a9783540768036
100 1 $aKELEMEN, A.
245 $aComputational Intelligence in Bioinformatics.$h[electronic resource]
260 $aSpringer eBooks.$c2008
300 $cv.: digital
490 $aStudies in Computational Intelligence,94
650 $aartificial intelligence
650 $abioinformatics
650 $aengineering
653 $aAppl.Mathematics/Computational Methods of Engineering
653 $aArtificial Intelligence (incl. Robotics)
653 $aEngineering mathematics
700 1 $aABRAHAM, A.
700 1 $aCHEN, Y.
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Registro original: |
Ebooks (Ebooks) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
14/01/2005 |
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Data da última atualização: |
14/01/2005 |
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Autoria: |
BIZETI, H. S.; CARVALHO, C. G. P. de; SOUZA, J. R. P. de; DESTRO, D. |
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Título: |
Path analysis under multicollinearity in soybean. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
Brazilian Archives of Biology and Technology, Curitiba, vol. 47, no. 5, p. 669-676, Sept. 2004. |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to establish the phenotypic correlations among several soybean traits with grain yield in direct and indirect effects using path analysis, and to compare alternative methods for minimizing the adverse effects of multicollinearity in estimating path coefficients. The experiment was conducted in greenhouse in a randomized complete block design with four replications. Nine soybean genotypes belonging to three seed size categories were used. The correlation studies and the path analysis showed that the seed size was not important for increased yield. The number of nodes and plant height at maturity showed significant correlation with grain yield. Using the least square methodology, the results obtained by path analysis under multicollinearity were not satisfactory. The ridge path analysis and the trait culling were efficient in reducing the adverse effects of multicollinearity. Both methods showed that only the number of nodes at maturity trait had a high direct effect on grain yield per plant. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01490naa a2200157 a 4500
001 1467770
005 2005-01-14
008 2004 bl --- 0-- u #d
100 1 $aBIZETI, H. S.
245 $aPath analysis under multicollinearity in soybean.
260 $c2004
520 $aThis study aimed to establish the phenotypic correlations among several soybean traits with grain yield in direct and indirect effects using path analysis, and to compare alternative methods for minimizing the adverse effects of multicollinearity in estimating path coefficients. The experiment was conducted in greenhouse in a randomized complete block design with four replications. Nine soybean genotypes belonging to three seed size categories were used. The correlation studies and the path analysis showed that the seed size was not important for increased yield. The number of nodes and plant height at maturity showed significant correlation with grain yield. Using the least square methodology, the results obtained by path analysis under multicollinearity were not satisfactory. The ridge path analysis and the trait culling were efficient in reducing the adverse effects of multicollinearity. Both methods showed that only the number of nodes at maturity trait had a high direct effect on grain yield per plant.
700 1 $aCARVALHO, C. G. P. de
700 1 $aSOUZA, J. R. P. de
700 1 $aDESTRO, D.
773 $tBrazilian Archives of Biology and Technology, Curitiba, vol. 47, no. 5, p. 669-676, Sept. 2004.
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