Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/373113
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dc.contributor.authorDIAS FILHO, M. B.pt_BR
dc.contributor.authorSIMÃO NETO, M.pt_BR
dc.contributor.authorSERRÃO, E. A. S.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created1995-08-16pt_BR
dc.date.issued1994pt_BR
dc.identifier.citationPesquisa Agropecuária Brasileira, Brasília, DF, v. 29, n. 10, p. 1509-1516, out. 1994.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/373113pt_BR
dc.descriptionCluster analysis techniques were conducted using the degree of agronomic adaptation - an integrated measure of susceptibility to diseases and insects, growth of vigor, recovery from simulated herbivority, soil cover, and potential for dry matter production - of 118 accessions of the forage grass Panicum maximum jacq., evaluated during a two-year period, in eastern Brazilian Amazonia. The objective was to determine the feasibility of clustering procedures to classify the studied accessions according to their agronomic adaptation. Hierarchical (complete linkage) cluster and nonhierarchical (k-means) cluster analysis were found to be suitable statistical tools for assigning accessions to discrete groups. The 118 P. maximum accessions were classified into four distinct clusters of 21, 40, 41, and 16 accessions with, respectively, excellent, good, regular, and poor degree of agronomic adaptation.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectPlanta gramínea forrageirapt_BR
dc.subjectAdaptaçãopt_BR
dc.subjectAnálise multivariadapt_BR
dc.subjectBrasilpt_BR
dc.subjectAdaptationpt_BR
dc.subjectForage grasspt_BR
dc.titleCluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2013-06-07T11:11:11Zpt_BR
dc.subject.thesagroAnálise Estatísticapt_BR
dc.subject.thesagroPanicum Maximumpt_BR
dc.subject.nalthesaurusAmazoniapt_BR
dc.subject.nalthesaurusmultivariate analysispt_BR
dc.subject.nalthesaurusstatistical analysispt_BR
riaa.ainfo.id373113pt_BR
riaa.ainfo.lastupdate2020-07-24 -03:00:00pt_BR
dc.contributor.institutionMOACYR BERNARDINO DIAS FILHO, CPATUpt_BR
dc.contributor.institutionMIGUEL SIMAO NETO, CPATUeng
dc.contributor.institutionEMANUEL ADILSON DE SOUZA SERRAO, CPATU.eng
Aparece nas coleções:Artigo em periódico indexado (CPATU)

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