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| 2. |  | MOREIRA, F. J. C.; ALBUQUERQUE, A. M. de; ALMEIDA, B. K. da S.; SOUZA, I. M. de; ARAÚJO, B. de A.; GUEDES, F. L. Reação de genótipos de feijão guandu (Cajanus cajan (L.) Millspaugh) ao nematoide das galhas (Meloidogyne enterolobii). Summa Phytopathologica, v. 44, n. 4, p. 380-385, 2018.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
19/06/2013 |
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Data da última atualização: |
21/09/2017 |
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Autoria: |
PETRINI, J.; DIAS, R. A. P.; PERTILE, S. F. N.; ELER, J. P.; FERRAZ, J. B. S.; MOURÃO, G. B. |
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Afiliação: |
JULIANA PETRINI, Universidade de São Paulo - USP/Escola Superior de Agricultura Luiz de Queiroz/Departamento de Zootecnia; RAPHAEL ANTONIO PRADO DIAS, Instituto Federal de Educação/Ciência e Tecnologia – Sul de Minas Gerais; SIMONE FERNANDO NEDEL PERTILE, Universidade de São Paulo - USP/Escola Superior de Agricultura Luiz de Queiroz/Departamento de Zootecnia; JOANIR PEREIRA ELER, USP/Faculdade de Zootecnia e Engenharia de Alimentos/Departamento de Ciências Básicas; JOSÉ BENTO STERMAN FERRAZ, USP/Faculdade de Zootecnia e Engenharia de Alimentos/Departamento de Ciências Básicas; GERSON BARRETO MOURÃO, Universidade de São Paulo - USP/Escola Superior de Agricultura Luiz de Queiroz/Departamento de Zootecnia. |
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Título: |
Degree of multicollinearity and variables involved in linear dependence in additive-dominant models. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 47, n. 12, p. 1743-1750, dez. 2012. |
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ISSN: |
0100-204X |
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Idioma: |
Inglês |
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Notas: |
Título em português: Grau de multicolinearidade e variáveis envolvidas na dependência linear em modelos aditivo-dominantes. |
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Conteúdo: |
The objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive‑dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non‑additive effects. The second model (R) included all the effects of the RM model except the maternal additive effects. Multicollinearity was detected in both models for all traits considered, with VIF values of 1.03?70.20 for RM and 1.03?60.70 for R. Collinearity increased with the increase of variables in the model and the decrease in the number of observations, and it was classified as weak, with condition index values between 10.00 and 26.77. In general, the variables associated with additive and non‑additive effects were involved in multicollinearity, partially due to the natural connection between these covariables as fractions of the biological types in breed composition. |
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Palavras-Chave: |
Crossbreeding; Fator de inflação da variância; Matriz de correlação. |
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Thesagro: |
Bos indicus; Bos taurus; Cruzamento; Gado de corte; Melhoramento animal. |
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Thesaurus NAL: |
Animal breeding; Beef cattle. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/84597/1/Degree-of.pdf
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Marc: |
LEADER 02443naa a2200325 a 4500
001 1960218
005 2017-09-21
008 2012 bl uuuu u00u1 u #d
022 $a0100-204X
100 1 $aPETRINI, J.
245 $aDegree of multicollinearity and variables involved in linear dependence in additive-dominant models.
260 $c2012
500 $aTítulo em português: Grau de multicolinearidade e variáveis envolvidas na dependência linear em modelos aditivo-dominantes.
520 $aThe objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive‑dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non‑additive effects. The second model (R) included all the effects of the RM model except the maternal additive effects. Multicollinearity was detected in both models for all traits considered, with VIF values of 1.03?70.20 for RM and 1.03?60.70 for R. Collinearity increased with the increase of variables in the model and the decrease in the number of observations, and it was classified as weak, with condition index values between 10.00 and 26.77. In general, the variables associated with additive and non‑additive effects were involved in multicollinearity, partially due to the natural connection between these covariables as fractions of the biological types in breed composition.
650 $aAnimal breeding
650 $aBeef cattle
650 $aBos indicus
650 $aBos taurus
650 $aCruzamento
650 $aGado de corte
650 $aMelhoramento animal
653 $aCrossbreeding
653 $aFator de inflação da variância
653 $aMatriz de correlação
700 1 $aDIAS, R. A. P.
700 1 $aPERTILE, S. F. N.
700 1 $aELER, J. P.
700 1 $aFERRAZ, J. B. S.
700 1 $aMOURÃO, G. B.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 47, n. 12, p. 1743-1750, dez. 2012.
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Embrapa Unidades Centrais (AI-SEDE) |
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