IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum

Detalhes bibliográficos
Autor(a) principal: Martuscello,Janaina Azevedo
Data de Publicação: 2015
Outros Autores: Braz,Thiago Gomes dos Santos, Jank,Liana, Cunha,Daniel de Noronha Figueiredo Vieira da, Carvalho,Ana Luiza Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000200147
Resumo: Grouping of genotypes by canonical variable analysis is an important tool in breeding. It allows the grouping of individuals with similar characteristics that are associated with superior agronomic performance and may indicate the ideal profile of a plant for the region. The objective of the present study was to define, by canonical analysis, the agronomic profile of Panicum maximum plants adapted to the Agreste region. The experiment was conducted in a completely randomized design with 28 treatments, 22 genotypes of Panicum maximum, and cultivars Mombasa, Tanzania, Massai, Milenio, BRS Zuri, and BRS Tamani in triplicate in 4-m² plots. Plots were harvested five times and the following traits were evaluated: plant height; total, leaf, and stem; dead dry matter yields; leaf:stem ratio; leaf percentage; and volumetric density of forage. The analysis of canonical variables was performed based on the phenotypic means of the evaluated traits and on the residual variance and covariance matrix. Genotype PM34 showed higher mean leaf dry matter yield under the conditions of the Agreste of Alagoas (on average 53% higher than cultivars Mombasa, Tanzania, Milenio and Massai). It was possible to summarize the variation observed in eight agronomic characteristics in only two canonical variables accounting for 81.44 % of the data variation. The ideotype plant adapted to the conditions of the Agreste should be tall and present high leaf yield, leaf percentage, and leaf:stem ratio, and intermediate values ​​of volumetric density of forage.
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spelling IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximumMultivariate analysisbreeding valueagronomic performanceleaf dry matterGrouping of genotypes by canonical variable analysis is an important tool in breeding. It allows the grouping of individuals with similar characteristics that are associated with superior agronomic performance and may indicate the ideal profile of a plant for the region. The objective of the present study was to define, by canonical analysis, the agronomic profile of Panicum maximum plants adapted to the Agreste region. The experiment was conducted in a completely randomized design with 28 treatments, 22 genotypes of Panicum maximum, and cultivars Mombasa, Tanzania, Massai, Milenio, BRS Zuri, and BRS Tamani in triplicate in 4-m² plots. Plots were harvested five times and the following traits were evaluated: plant height; total, leaf, and stem; dead dry matter yields; leaf:stem ratio; leaf percentage; and volumetric density of forage. The analysis of canonical variables was performed based on the phenotypic means of the evaluated traits and on the residual variance and covariance matrix. Genotype PM34 showed higher mean leaf dry matter yield under the conditions of the Agreste of Alagoas (on average 53% higher than cultivars Mombasa, Tanzania, Milenio and Massai). It was possible to summarize the variation observed in eight agronomic characteristics in only two canonical variables accounting for 81.44 % of the data variation. The ideotype plant adapted to the conditions of the Agreste should be tall and present high leaf yield, leaf percentage, and leaf:stem ratio, and intermediate values ​​of volumetric density of forage.Editora da UFLA2015-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000200147Ciência e Agrotecnologia v.39 n.2 2015reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/S1413-70542015000200006info:eu-repo/semantics/openAccessMartuscello,Janaina AzevedoBraz,Thiago Gomes dos SantosJank,LianaCunha,Daniel de Noronha Figueiredo Vieira daCarvalho,Ana Luiza Silvaeng2015-08-03T00:00:00Zoai:scielo:S1413-70542015000200147Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2015-08-03T00:00Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
title IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
spellingShingle IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
Martuscello,Janaina Azevedo
Multivariate analysis
breeding value
agronomic performance
leaf dry matter
title_short IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
title_full IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
title_fullStr IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
title_full_unstemmed IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
title_sort IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
author Martuscello,Janaina Azevedo
author_facet Martuscello,Janaina Azevedo
Braz,Thiago Gomes dos Santos
Jank,Liana
Cunha,Daniel de Noronha Figueiredo Vieira da
Carvalho,Ana Luiza Silva
author_role author
author2 Braz,Thiago Gomes dos Santos
Jank,Liana
Cunha,Daniel de Noronha Figueiredo Vieira da
Carvalho,Ana Luiza Silva
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Martuscello,Janaina Azevedo
Braz,Thiago Gomes dos Santos
Jank,Liana
Cunha,Daniel de Noronha Figueiredo Vieira da
Carvalho,Ana Luiza Silva
dc.subject.por.fl_str_mv Multivariate analysis
breeding value
agronomic performance
leaf dry matter
topic Multivariate analysis
breeding value
agronomic performance
leaf dry matter
description Grouping of genotypes by canonical variable analysis is an important tool in breeding. It allows the grouping of individuals with similar characteristics that are associated with superior agronomic performance and may indicate the ideal profile of a plant for the region. The objective of the present study was to define, by canonical analysis, the agronomic profile of Panicum maximum plants adapted to the Agreste region. The experiment was conducted in a completely randomized design with 28 treatments, 22 genotypes of Panicum maximum, and cultivars Mombasa, Tanzania, Massai, Milenio, BRS Zuri, and BRS Tamani in triplicate in 4-m² plots. Plots were harvested five times and the following traits were evaluated: plant height; total, leaf, and stem; dead dry matter yields; leaf:stem ratio; leaf percentage; and volumetric density of forage. The analysis of canonical variables was performed based on the phenotypic means of the evaluated traits and on the residual variance and covariance matrix. Genotype PM34 showed higher mean leaf dry matter yield under the conditions of the Agreste of Alagoas (on average 53% higher than cultivars Mombasa, Tanzania, Milenio and Massai). It was possible to summarize the variation observed in eight agronomic characteristics in only two canonical variables accounting for 81.44 % of the data variation. The ideotype plant adapted to the conditions of the Agreste should be tall and present high leaf yield, leaf percentage, and leaf:stem ratio, and intermediate values ​​of volumetric density of forage.
publishDate 2015
dc.date.none.fl_str_mv 2015-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000200147
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000200147
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1413-70542015000200006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.39 n.2 2015
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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