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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
13/09/2017 |
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Data da última atualização: |
13/09/2017 |
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Autoria: |
MACEDO, L. R. de; CECON, P. R.; SILVA, F. F.; NASCIMENTO, M.; PUIATTI, G. A.; OLIVEIRA, A. C. R. de; PUIATTI, M. |
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Afiliação: |
Leandro Roberto de Macedo, Universidade Federal de Juiz de Fora/Departamento de Economia/Campus Governador Valadares; Paulo Roberto Cecon, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Fabyano Fonseca e Silva, UFV/Departamento de Zootecnia; Moysés Nascimento, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Guilherme Alves Puiatti, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Ana Carolina Ribeiro de Oliveira, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Mario Puiatti, UFV/Departamento de Fitotecnia. |
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Título: |
Bayesian inference for the fitting of dry matter accumulation curves in garlic plants. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 8, p. 572-581, fev. 2017. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Inferência bayesiana para o ajuste de curvas do acúmulo de matéria seca em plantas de alho. |
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Conteúdo: |
The objective of this work was to identify nonlinear regression models that best describe dry matter accumulation curves over time, in garlic (Allium sativum) accessions, using Bayesian and frequentist approaches. Multivariate cluster analyses were made to group similar accessions according to the estimates of the parameters with biological interpretation (β1 and β3). In order to verify if the obtained groups were equal, statistical tests were applied to assess the parameter equality of the representative curves of each group. Thirty garlic accessions were used, which are kept by the vegetable germplasm bank of Universidade Federal de Viçosa, Brazil. The logistic model was the one that fit best to data in both approaches. Parameter estimates of this model were subjected to the cluster analysis using Ward?s algorithm, and the generalized Mahalanobis distance was used as a measure of dissimilarity. The optimal number of groups, according to the Mojena method, was three and four, for the frequentist and Bayesian approaches, respectively. Hypothesis tests for the parameter equality from estimated curves, for each identified group, indicated that both approaches highlight the differences between the accessions identified in the cluster analysis. Therefore, both approaches are recommended for this kind of study. |
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Palavras-Chave: |
Agrupamento multivariado de curvas; Análise de agrupamento; Modelo não linear; Multivariate clustering curves. |
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Thesagro: |
Allium Sativum. |
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Thesaurus Nal: |
Cluster analysis; Nonlinear models. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163739/1/Bayesian-inference-for-the-fitting.pdf
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Marc: |
LEADER 02326naa a2200289 a 4500
001 2075471
005 2017-09-13
008 2017 bl uuuu u00u1 u #d
100 1 $aMACEDO, L. R. de
245 $aBayesian inference for the fitting of dry matter accumulation curves in garlic plants.
260 $c2017
500 $aTítulo em português: Inferência bayesiana para o ajuste de curvas do acúmulo de matéria seca em plantas de alho.
520 $aThe objective of this work was to identify nonlinear regression models that best describe dry matter accumulation curves over time, in garlic (Allium sativum) accessions, using Bayesian and frequentist approaches. Multivariate cluster analyses were made to group similar accessions according to the estimates of the parameters with biological interpretation (β1 and β3). In order to verify if the obtained groups were equal, statistical tests were applied to assess the parameter equality of the representative curves of each group. Thirty garlic accessions were used, which are kept by the vegetable germplasm bank of Universidade Federal de Viçosa, Brazil. The logistic model was the one that fit best to data in both approaches. Parameter estimates of this model were subjected to the cluster analysis using Ward?s algorithm, and the generalized Mahalanobis distance was used as a measure of dissimilarity. The optimal number of groups, according to the Mojena method, was three and four, for the frequentist and Bayesian approaches, respectively. Hypothesis tests for the parameter equality from estimated curves, for each identified group, indicated that both approaches highlight the differences between the accessions identified in the cluster analysis. Therefore, both approaches are recommended for this kind of study.
650 $aCluster analysis
650 $aNonlinear models
650 $aAllium Sativum
653 $aAgrupamento multivariado de curvas
653 $aAnálise de agrupamento
653 $aModelo não linear
653 $aMultivariate clustering curves
700 1 $aCECON, P. R.
700 1 $aSILVA, F. F.
700 1 $aNASCIMENTO, M.
700 1 $aPUIATTI, G. A.
700 1 $aOLIVEIRA, A. C. R. de
700 1 $aPUIATTI, M.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 52, n. 8, p. 572-581, fev. 2017.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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| Registros recuperados : 5 | |
| 4. |  | MACEDO, L. R. de; CECON, P. R.; SILVA, F. F.; NASCIMENTO, M.; PUIATTI, G. A.; OLIVEIRA, A. C. R. de; PUIATTI, M. Bayesian inference for the fitting of dry matter accumulation curves in garlic plants. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 8, p. 572-581, fev. 2017. Título em português: Inferência bayesiana para o ajuste de curvas do acúmulo de matéria seca em plantas de alho.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 5. | | BEDRA, R. A.; SANTOS, T. T. de C.; MACEDO, L. R. de; SEREJO, J. A. dos S.; FERREIRA, C. F.; AMORIM, E. P. Características agronômicas de autotetraploides desenvolvidos a partir da duplicação de cromossomos com agentes antimitóticos In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 17., 2017 Ciência e Empreendedorismo : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2017. 137p. 1p. Recursos Genéticos| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| Registros recuperados : 5 | |
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