Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.

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 To...

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Detalles Bibliográficos
Autores: SANTOS, V. S. dos, MARTINS FILHO, S., ALVES, R. M., RESENDE, M. D. V. de, SILVA, F. F. e.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:Brasil
Institución:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
Repositorio:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Idioma:inglés
OAI Identifier:oai:www.alice.cnptia.embrapa.br:doc/1018773
Acceso en línea:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1018773
http://dx.doi.org/10.1590/1678-4499.0431
Access Level:acceso abierto
Palabra clave:UPGMA
Cupuaçu
Fruta Tropical
Genética
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oai_identifier_str oai:www.alice.cnptia.embrapa.br:doc/1018773
network_acronym_str BR
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repository_id_str
spelling Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.UPGMACupuaçuFruta TropicalGenéticaThis 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.Vinicius Silva dos Santos, UFV; Sebastião Martins Filho, UFV; RAFAEL MOYSES ALVES, CPATU; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV.2015-06-29T11:11:11Z2015-06-29T11:11:11Z2015-06-2920152016-01-25T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBragantia, Campinas, v. 74, n. 2, p. 169-175, Apr./June 2015.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1018773http://dx.doi.org/10.1590/1678-4499.0431enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPASANTOS, V. S. dosMARTINS FILHO, S.ALVES, R. M.RESENDE, M. D. V. deSILVA, F. F. e.2017-08-16T02:25:19Zoai:www.alice.cnptia.embrapa.br:doc/1018773Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T02:25:19Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.
title Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.
spellingShingle Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.
SANTOS, V. S. dos
UPGMA
Cupuaçu
Fruta Tropical
Genética
title_short Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.
title_full Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.
title_fullStr Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.
title_full_unstemmed Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.
title_sort Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling.
dc.creator.none.fl_str_mv SANTOS, V. S. dos
MARTINS FILHO, S.
ALVES, R. M.
RESENDE, M. D. V. de
SILVA, F. F. e.
author SANTOS, V. S. dos
author_facet SANTOS, V. S. dos
MARTINS FILHO, S.
ALVES, R. M.
RESENDE, M. D. V. de
SILVA, F. F. e.
author_role author
author2 MARTINS FILHO, S.
ALVES, R. M.
RESENDE, M. D. V. de
SILVA, F. F. e.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Vinicius Silva dos Santos, UFV; Sebastião Martins Filho, UFV; RAFAEL MOYSES ALVES, CPATU; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV.
dc.subject.por.fl_str_mv UPGMA
Cupuaçu
Fruta Tropical
Genética
topic UPGMA
Cupuaçu
Fruta Tropical
Genética
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-29T11:11:11Z
2015-06-29T11:11:11Z
2015-06-29
2015
2016-01-25T11:11:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Bragantia, Campinas, v. 74, n. 2, p. 169-175, Apr./June 2015.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1018773
http://dx.doi.org/10.1590/1678-4499.0431
identifier_str_mv Bragantia, Campinas, v. 74, n. 2, p. 169-175, Apr./June 2015.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1018773
http://dx.doi.org/10.1590/1678-4499.0431
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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score 15.300719

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