Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.

Detalhes bibliográficos
Autor(a) principal: DIAS FILHO, M. B.
Data de Publicação: 1994
Outros Autores: SIMÃO NETO, M., SERRÃO, E. A. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/373113
Resumo: Cluster 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.
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spelling Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.Planta gramínea forrageiraAdaptaçãoAnálise multivariadaBrasilAdaptationForage grassAnálise EstatísticaPanicum MaximumAmazoniamultivariate analysisstatistical analysisCluster 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.MOACYR BERNARDINO DIAS FILHO, CPATUMIGUEL SIMAO NETO, CPATUEMANUEL ADILSON DE SOUZA SERRAO, CPATU.DIAS FILHO, M. B.SIMÃO NETO, M.SERRÃO, E. A. S.2011-04-10T11:11:11Z2011-04-10T11:11:11Z1995-08-1619942013-06-07T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePesquisa Agropecuária Brasileira, Brasília, DF, v. 29, n. 10, p. 1509-1516, out. 1994.http://www.alice.cnptia.embrapa.br/alice/handle/doc/373113enginfo: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:EMBRAPA2017-08-15T21:55:40Zoai:www.alice.cnptia.embrapa.br:doc/373113Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-15T21:55:40falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-15T21:55:40Repositório 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 Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.
title Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.
spellingShingle Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.
DIAS FILHO, M. B.
Planta gramínea forrageira
Adaptação
Análise multivariada
Brasil
Adaptation
Forage grass
Análise Estatística
Panicum Maximum
Amazonia
multivariate analysis
statistical analysis
title_short Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.
title_full Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.
title_fullStr Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.
title_full_unstemmed Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.
title_sort Cluster analysis for assessing the agronomic adaptation of Panicum maximum Jacq. accessions.
author DIAS FILHO, M. B.
author_facet DIAS FILHO, M. B.
SIMÃO NETO, M.
SERRÃO, E. A. S.
author_role author
author2 SIMÃO NETO, M.
SERRÃO, E. A. S.
author2_role author
author
dc.contributor.none.fl_str_mv MOACYR BERNARDINO DIAS FILHO, CPATU
MIGUEL SIMAO NETO, CPATU
EMANUEL ADILSON DE SOUZA SERRAO, CPATU.
dc.contributor.author.fl_str_mv DIAS FILHO, M. B.
SIMÃO NETO, M.
SERRÃO, E. A. S.
dc.subject.por.fl_str_mv Planta gramínea forrageira
Adaptação
Análise multivariada
Brasil
Adaptation
Forage grass
Análise Estatística
Panicum Maximum
Amazonia
multivariate analysis
statistical analysis
topic Planta gramínea forrageira
Adaptação
Análise multivariada
Brasil
Adaptation
Forage grass
Análise Estatística
Panicum Maximum
Amazonia
multivariate analysis
statistical analysis
description Cluster 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.
publishDate 1994
dc.date.none.fl_str_mv 1994
1995-08-16
2011-04-10T11:11:11Z
2011-04-10T11:11:11Z
2013-06-07T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Pesquisa Agropecuária Brasileira, Brasília, DF, v. 29, n. 10, p. 1509-1516, out. 1994.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/373113
identifier_str_mv Pesquisa Agropecuária Brasileira, Brasília, DF, v. 29, n. 10, p. 1509-1516, out. 1994.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/373113
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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