Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1018773
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dc.contributor.authorSANTOS, V. S. dospt_BR
dc.contributor.authorMARTINS FILHO, S.pt_BR
dc.contributor.authorALVES, R. M.pt_BR
dc.contributor.authorRESENDE, M. D. V. dept_BR
dc.contributor.authorSILVA, F. F. e.pt_BR
dc.date.accessioned2015-06-29T11:11:11Zpt_BR
dc.date.available2015-06-29T11:11:11Zpt_BR
dc.date.created2015-06-29pt_BR
dc.date.issued2015pt_BR
dc.identifier.citationBragantia, Campinas, v. 74, n. 2, p. 169-175, Apr./June 2015.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1018773pt_BR
dc.descriptionThis 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectUPGMApt_BR
dc.titleGenetic divergence among cupuaçu accessions by multiscale bootstrap resampling.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-01-25T11:11:11Zpt_BR
dc.subject.thesagroCupuaçupt_BR
dc.subject.thesagroFruta Tropicalpt_BR
dc.subject.thesagroGenéticapt_BR
riaa.ainfo.id1018773pt_BR
riaa.ainfo.lastupdate2016-01-25pt_BR
dc.identifier.doihttp://dx.doi.org/10.1590/1678-4499.0431pt_BR
dc.contributor.institutionVinicius Silva dos Santos, UFV; Sebastião Martins Filho, UFV; RAFAEL MOYSES ALVES, CPATU; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV.pt_BR
Aparece nas coleções:Artigo em periódico indexado (CPATU)

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