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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
29/06/2015 |
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Data da última atualização: |
29/06/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, V. S. dos; MARTINS FILHO, S.; ALVES, R. M.; RESENDE, M. D. V. de; SILVA, F. F. e. |
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Afiliação: |
Vinicius Silva dos Santos, UFV; Sebastião Martins Filho, UFV; RAFAEL MOYSES ALVES, CPATU; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV. |
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Título: |
Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Bragantia, Campinas, v. 74, n. 2, p. 169-175, Apr./June 2015. |
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DOI: |
http://dx.doi.org/10.1590/1678-4499.0431 |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed at investigating the genetic divergence of eighteen accessions of cupuaçu trees based on fruit morphometric traits and comparing usual methods of cluster analysis with the proposed multiscale bootstrap resampling methodology. The data were obtained from an experiment conducted in Tomé-Açu city (PA, Brazil), arranged in a completely randomized design with eighteen cupuaçu accessions and 10 repetitions, from 2004 to 2011. Genetic parameters were estimated by restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) methodology. The predicted breeding values were used in the study on genetic divergence through Unweighted Pair Cluster Method with Arithmetic Mean (UPGMA) hierarchical clustering and Tocher's optimization method based on standardized Euclidean distance. Clustering consistency and optimal number of clusters in the UPGMA method were verified by the cophenetic correlation coefficient (CCC) and Mojena's criterion, respectively, besides the multiscale bootstrap resampling technique. The use of the clustering UPGMA method in situations with and without multiscale bootstrap resulted in four and five clusters, respectively, while the Tocher's method resulted in seven clusters. The multiscale bootstrap resampling technique proves to be efficient to assess the consistency of clustering in hierarchical methods and, consequently, the optimal number of clusters. |
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Palavras-Chave: |
UPGMA. |
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Thesagro: |
Cupuaçu; Fruta Tropical; Genética. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02108naa a2200229 a 4500
001 2018782
005 2015-06-29
008 2015 bl --- 0-- u #d
024 7 $ahttp://dx.doi.org/10.1590/1678-4499.0431$2DOI
100 1 $aSANTOS, V. S. dos
245 $aGenetic divergence among cupuaçu accessions by multiscale bootstrap resampling.$h[electronic resource]
260 $c2015
520 $aThis study aimed at investigating the genetic divergence of eighteen accessions of cupuaçu trees based on fruit morphometric traits and comparing usual methods of cluster analysis with the proposed multiscale bootstrap resampling methodology. The data were obtained from an experiment conducted in Tomé-Açu city (PA, Brazil), arranged in a completely randomized design with eighteen cupuaçu accessions and 10 repetitions, from 2004 to 2011. Genetic parameters were estimated by restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) methodology. The predicted breeding values were used in the study on genetic divergence through Unweighted Pair Cluster Method with Arithmetic Mean (UPGMA) hierarchical clustering and Tocher's optimization method based on standardized Euclidean distance. Clustering consistency and optimal number of clusters in the UPGMA method were verified by the cophenetic correlation coefficient (CCC) and Mojena's criterion, respectively, besides the multiscale bootstrap resampling technique. The use of the clustering UPGMA method in situations with and without multiscale bootstrap resulted in four and five clusters, respectively, while the Tocher's method resulted in seven clusters. The multiscale bootstrap resampling technique proves to be efficient to assess the consistency of clustering in hierarchical methods and, consequently, the optimal number of clusters.
650 $aCupuaçu
650 $aFruta Tropical
650 $aGenética
653 $aUPGMA
700 1 $aMARTINS FILHO, S.
700 1 $aALVES, R. M.
700 1 $aRESENDE, M. D. V. de
700 1 $aSILVA, F. F. e.
773 $tBragantia, Campinas$gv. 74, n. 2, p. 169-175, Apr./June 2015.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
18/01/2024 |
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Data da última atualização: |
18/01/2024 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
VILAS BOAS, G. T.; SILVA, B. A. da; SOUZA, T. D. de; SÓSA-GOMEZ, D. R. |
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Afiliação: |
GISLAYNE TRINDADE VILAS BOAS, UNIVERSIDADE ESTADUAL DE LONDRINA; BRUNA ALVES DA SILVA, UNIVERSIDADE ESTADUAL DE LONDRINA; TAMIRES DOROTEO DE SOUZA; DANIEL RICARDO SOSA GOMEZ, CNPSO. |
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Título: |
Atividade entomopatogênica de linhagens de Bacillus thuringiensis contra Anticarsia gemmatalis Hübner, 1818 (Lepidoptera: Erebidae). |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: SIMPÓSIO DE CONTROLE BIOLÓGICO, 17.; SIMPÓSIO LATINO-AMERICANO DE CONTROLE BIOLOGICO, 2., 2023, Juazeiro, BA, Petrolina, PE. Anais... Petrolina: Embrapa Semiárido: Univasf, 2023. resumo. |
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Páginas: |
p. 374. |
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Idioma: |
Português |
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Notas: |
Siconbiol 2023. |
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Thesagro: |
Controle Biológico; Entomologia; Linhagem. |
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Thesaurus NAL: |
Biological control. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161011/1/p-374-anais-Siconbiol-2023-5.pdf
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Marc: |
LEADER 00826nam a2200205 a 4500
001 2161011
005 2024-01-18
008 2023 bl uuuu u00u1 u #d
100 1 $aVILAS BOAS, G. T.
245 $aAtividade entomopatogênica de linhagens de Bacillus thuringiensis contra Anticarsia gemmatalis Hübner, 1818 (Lepidoptera$bErebidae).$h[electronic resource]
260 $aIn: SIMPÓSIO DE CONTROLE BIOLÓGICO, 17.; SIMPÓSIO LATINO-AMERICANO DE CONTROLE BIOLOGICO, 2., 2023, Juazeiro, BA, Petrolina, PE. Anais... Petrolina: Embrapa Semiárido: Univasf, 2023. resumo.$c2023
300 $ap. 374.
500 $aSiconbiol 2023.
650 $aBiological control
650 $aControle Biológico
650 $aEntomologia
650 $aLinhagem
700 1 $aSILVA, B. A. da
700 1 $aSOUZA, T. D. de
700 1 $aSÓSA-GOMEZ, D. R.
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Registro original: |
Embrapa Soja (CNPSO) |
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