Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.

Detalhes bibliográficos
Autor(a) principal: CASTRILLON, M. A. de S.
Data de Publicação: 2017
Outros Autores: BARELLI, M. A. A., VENDRUSCOLO, T. P. S., SILVA, R. S. da, OLIVEIRA, F. T. de, LIMA, C. C., ZAGO, B. W., TARDIN, F. D.
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/1068104
Resumo: This study aimed to evaluate the genetic diversity of biomass and saccharin sorghum genotypes, based on 19 agronomic traits by the means of multicategorical variables. The experiment was conducted in the experimental area of the University of the State of Mato Grosso/UNEMAT, in Cáceres. We evaluated 25 genotypes of saccharin sorghum and 36 genotypes of biomass sorghum, in a randomized complete-block design with three replications. The data were submitted to three clustering methods, Tocher optimization, UPGMA hierarchical and Projection distances in 3D plan and comparing their results. The study showed the most divergent genotypes and the behavior of the three methods, which have proved partially concordant in the grouping of genotypes. The combined use of the clustering methods enabled a more accurate assessment for inference, and evidence the existence of genetic variability among saccharin and biomass sorghum genotypes.
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spelling Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.Análise multivariadaVariabilidade genéticaSorghum bicolorMétodo estatísticoThis study aimed to evaluate the genetic diversity of biomass and saccharin sorghum genotypes, based on 19 agronomic traits by the means of multicategorical variables. The experiment was conducted in the experimental area of the University of the State of Mato Grosso/UNEMAT, in Cáceres. We evaluated 25 genotypes of saccharin sorghum and 36 genotypes of biomass sorghum, in a randomized complete-block design with three replications. The data were submitted to three clustering methods, Tocher optimization, UPGMA hierarchical and Projection distances in 3D plan and comparing their results. The study showed the most divergent genotypes and the behavior of the three methods, which have proved partially concordant in the grouping of genotypes. The combined use of the clustering methods enabled a more accurate assessment for inference, and evidence the existence of genetic variability among saccharin and biomass sorghum genotypes.Marcilene Alves de Souza Castrillon, UNEMAT; Marco Antonio Aparecido Barelli, UNEMAT; Taiana Paula Streck Vendruscolo, UNEMAT; Raiane Scandiane da Silva, UNEMAT; Fábio Tomaz de Oliveira, UNEMAT; Carla Corrêa Lima, UNEMAT; Bruno Wagner Zago, UNEMAT; FLAVIO DESSAUNE TARDIN, CNPMS.CASTRILLON, M. A. de S.BARELLI, M. A. A.VENDRUSCOLO, T. P. S.SILVA, R. S. daOLIVEIRA, F. T. deLIMA, C. C.ZAGO, B. W.TARDIN, F. D.2017-04-05T11:37:01Z2017-04-05T11:37:01Z2017-04-0420172017-10-16T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleInternational Journal of Current Research, v. 9, n. 1, p. 45076-45081, Jan. 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1068104enginfo: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:EMBRAPA2017-08-16T04:20:57Zoai:www.alice.cnptia.embrapa.br:doc/1068104Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:20:57falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:20:57Repositório 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 Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
title Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
spellingShingle Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
CASTRILLON, M. A. de S.
Análise multivariada
Variabilidade genética
Sorghum bicolor
Método estatístico
title_short Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
title_full Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
title_fullStr Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
title_full_unstemmed Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
title_sort Multicategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.
author CASTRILLON, M. A. de S.
author_facet CASTRILLON, M. A. de S.
BARELLI, M. A. A.
VENDRUSCOLO, T. P. S.
SILVA, R. S. da
OLIVEIRA, F. T. de
LIMA, C. C.
ZAGO, B. W.
TARDIN, F. D.
author_role author
author2 BARELLI, M. A. A.
VENDRUSCOLO, T. P. S.
SILVA, R. S. da
OLIVEIRA, F. T. de
LIMA, C. C.
ZAGO, B. W.
TARDIN, F. D.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Marcilene Alves de Souza Castrillon, UNEMAT; Marco Antonio Aparecido Barelli, UNEMAT; Taiana Paula Streck Vendruscolo, UNEMAT; Raiane Scandiane da Silva, UNEMAT; Fábio Tomaz de Oliveira, UNEMAT; Carla Corrêa Lima, UNEMAT; Bruno Wagner Zago, UNEMAT; FLAVIO DESSAUNE TARDIN, CNPMS.
dc.contributor.author.fl_str_mv CASTRILLON, M. A. de S.
BARELLI, M. A. A.
VENDRUSCOLO, T. P. S.
SILVA, R. S. da
OLIVEIRA, F. T. de
LIMA, C. C.
ZAGO, B. W.
TARDIN, F. D.
dc.subject.por.fl_str_mv Análise multivariada
Variabilidade genética
Sorghum bicolor
Método estatístico
topic Análise multivariada
Variabilidade genética
Sorghum bicolor
Método estatístico
description This study aimed to evaluate the genetic diversity of biomass and saccharin sorghum genotypes, based on 19 agronomic traits by the means of multicategorical variables. The experiment was conducted in the experimental area of the University of the State of Mato Grosso/UNEMAT, in Cáceres. We evaluated 25 genotypes of saccharin sorghum and 36 genotypes of biomass sorghum, in a randomized complete-block design with three replications. The data were submitted to three clustering methods, Tocher optimization, UPGMA hierarchical and Projection distances in 3D plan and comparing their results. The study showed the most divergent genotypes and the behavior of the three methods, which have proved partially concordant in the grouping of genotypes. The combined use of the clustering methods enabled a more accurate assessment for inference, and evidence the existence of genetic variability among saccharin and biomass sorghum genotypes.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-05T11:37:01Z
2017-04-05T11:37:01Z
2017-04-04
2017
2017-10-16T11:11:11Z
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 International Journal of Current Research, v. 9, n. 1, p. 45076-45081, Jan. 2017.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1068104
identifier_str_mv International Journal of Current Research, v. 9, n. 1, p. 45076-45081, Jan. 2017.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1068104
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)
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