Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models

Detalhes bibliográficos
Autor(a) principal: Lopes, Valéria Rosa
Data de Publicação: 2014
Outros Autores: Bespalhok Filho, Joao Carlos, Daros, Edelclaiton, Oliveira, Ricardo Augusto, Guerra, Edson Perez
Tipo de documento: Artigo
Idioma: por
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/12668
Resumo: This work had the aim to evaluate the genetic divergence in sugarcane clones using the methodology of graphic dispersion by principal components analysis associated to linear mixed models, indentifying the more divergent and productive genotypes with more precision, for a subsequent combination. 138 sugarcane clones of the RB97 series of the Sugarcane Breeding Program of the Universidade Federal do Parana, more two standard cultivars were evaluated in three environments, with two replications. The two first components explained 96% of the total variation, sufficiently for explaining the divergence found. The variable that contributed the most to de divergence was kilogram of brix per plot (BKP) followed by brix, mass of 10 stalks and number of stalks per plot. The more divergent sugarcane clones were RB975008, RB975112, RB975019, RB975153 and RB975067 and the more productive clones were RB975269, RB977533, RB975102, RB975317 and RB975038.
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spelling Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed modelsDivergência genética entre clones de cana-de-açúcar usando análise multivariada associada a modelos mistosSaccharum officinarumGenetic variabilityMix modelsPrincipal components.Saccharum officinarumVariabilidade genéticaModelos mistosComponentes principais.Melhoramento VegetalThis work had the aim to evaluate the genetic divergence in sugarcane clones using the methodology of graphic dispersion by principal components analysis associated to linear mixed models, indentifying the more divergent and productive genotypes with more precision, for a subsequent combination. 138 sugarcane clones of the RB97 series of the Sugarcane Breeding Program of the Universidade Federal do Parana, more two standard cultivars were evaluated in three environments, with two replications. The two first components explained 96% of the total variation, sufficiently for explaining the divergence found. The variable that contributed the most to de divergence was kilogram of brix per plot (BKP) followed by brix, mass of 10 stalks and number of stalks per plot. The more divergent sugarcane clones were RB975008, RB975112, RB975019, RB975153 and RB975067 and the more productive clones were RB975269, RB977533, RB975102, RB975317 and RB975038.Este trabalho teve como objetivo avaliar a divergência genética em clones da cana-de-açúcar usando a metodologia de dispersão gráfica por componentes principais associada aos modelos lineares mistos, identificando quais os genótipos mais divergentes e os mais produtivos de forma mais precisa, para posterior combinação. Foram avaliados 138 clones de cana-de-açúcar da Série RB97 do Programa de Melhoramento Genético de Cana-de-Açúcar da Universidade Federal do Paraná, mais duas variedades padrões, em três ambientes, com duas repetições. Os dois primeiros componentes explicaram 96% da variação total, sendo suficientes para explicar a divergência encontrada. A característica que mais contribuiu para a divergência genética foi quilograma de brix por parcela (KBP), seguida por brix, massa de 10 colmos (M10) e número de colmos por parcela (NCP). Os clones mais divergentes foram RB975008, RB975112, RB975019, RB975153 e RB975067 e os clones mais produtivos foram RB975269, RB977533, RB975102, RB975317 e RB975038.UEL2014-02-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/1266810.5433/1679-0359.2014v35n1p125Semina: Ciências Agrárias; Vol. 35 No. 1 (2014); 125-134Semina: Ciências Agrárias; v. 35 n. 1 (2014); 125-1341679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELporhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/12668/pdf_217Lopes, Valéria RosaBespalhok Filho, Joao CarlosDaros, EdelclaitonOliveira, Ricardo AugustoGuerra, Edson Perezinfo:eu-repo/semantics/openAccess2015-11-19T18:36:00Zoai:ojs.pkp.sfu.ca:article/12668Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2015-11-19T18:36Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models
Divergência genética entre clones de cana-de-açúcar usando análise multivariada associada a modelos mistos
title Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models
spellingShingle Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models
Lopes, Valéria Rosa
Saccharum officinarum
Genetic variability
Mix models
Principal components.
Saccharum officinarum
Variabilidade genética
Modelos mistos
Componentes principais.
Melhoramento Vegetal
title_short Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models
title_full Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models
title_fullStr Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models
title_full_unstemmed Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models
title_sort Multivariate genetic divergence among sugarcane clones by multivariate analysis associated with mixed models
author Lopes, Valéria Rosa
author_facet Lopes, Valéria Rosa
Bespalhok Filho, Joao Carlos
Daros, Edelclaiton
Oliveira, Ricardo Augusto
Guerra, Edson Perez
author_role author
author2 Bespalhok Filho, Joao Carlos
Daros, Edelclaiton
Oliveira, Ricardo Augusto
Guerra, Edson Perez
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lopes, Valéria Rosa
Bespalhok Filho, Joao Carlos
Daros, Edelclaiton
Oliveira, Ricardo Augusto
Guerra, Edson Perez
dc.subject.por.fl_str_mv Saccharum officinarum
Genetic variability
Mix models
Principal components.
Saccharum officinarum
Variabilidade genética
Modelos mistos
Componentes principais.
Melhoramento Vegetal
topic Saccharum officinarum
Genetic variability
Mix models
Principal components.
Saccharum officinarum
Variabilidade genética
Modelos mistos
Componentes principais.
Melhoramento Vegetal
description This work had the aim to evaluate the genetic divergence in sugarcane clones using the methodology of graphic dispersion by principal components analysis associated to linear mixed models, indentifying the more divergent and productive genotypes with more precision, for a subsequent combination. 138 sugarcane clones of the RB97 series of the Sugarcane Breeding Program of the Universidade Federal do Parana, more two standard cultivars were evaluated in three environments, with two replications. The two first components explained 96% of the total variation, sufficiently for explaining the divergence found. The variable that contributed the most to de divergence was kilogram of brix per plot (BKP) followed by brix, mass of 10 stalks and number of stalks per plot. The more divergent sugarcane clones were RB975008, RB975112, RB975019, RB975153 and RB975067 and the more productive clones were RB975269, RB977533, RB975102, RB975317 and RB975038.
publishDate 2014
dc.date.none.fl_str_mv 2014-02-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/12668
10.5433/1679-0359.2014v35n1p125
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/12668
identifier_str_mv 10.5433/1679-0359.2014v35n1p125
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/12668/pdf_217
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 35 No. 1 (2014); 125-134
Semina: Ciências Agrárias; v. 35 n. 1 (2014); 125-134
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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