IDENTIFICATION OF IDEOTYPES BY CANONICAL ANALYSIS IN Panicum maximum
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
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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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 |
_version_ |
1750226494923210752 |