Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/7553 |
Resumo: | The objective of this work was to verify possible divergences among results obtained on adaptability evaluations of 27 maize genotypes (Zea mays L.), and on stratification of 22 environments on Paraná State, Brazil, through techniques of factor analysis and bissegmented regression. The environmental stratifications were made through the traditional methodology and by factor analysis, allied to the percentage of the simple portion of GxE interaction (PS%). Adaptability analyses were carried out through bissegmented regression and factor analysis. By the analysis of bissegmented regression, studied genotypes had presented high productive performance; however, it was not evidenced the genotype considered as ideal. The adaptability of the genotypes, analyzed through graphs, presented different answers when compared to bissegmented regression. Factor analysis was efficient in the processes of environment stratification and adaptability of maize genotypes. |
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Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptabilityAnálise de fatores e regressão bissegmentada em estudos de estratificação ambiental e adaptabilidade em milhoZea mays; genotype x environment interaction; stabilityZea mays; interação genótipo x ambiente; estabilidadeThe objective of this work was to verify possible divergences among results obtained on adaptability evaluations of 27 maize genotypes (Zea mays L.), and on stratification of 22 environments on Paraná State, Brazil, through techniques of factor analysis and bissegmented regression. The environmental stratifications were made through the traditional methodology and by factor analysis, allied to the percentage of the simple portion of GxE interaction (PS%). Adaptability analyses were carried out through bissegmented regression and factor analysis. By the analysis of bissegmented regression, studied genotypes had presented high productive performance; however, it was not evidenced the genotype considered as ideal. The adaptability of the genotypes, analyzed through graphs, presented different answers when compared to bissegmented regression. Factor analysis was efficient in the processes of environment stratification and adaptability of maize genotypes.O objetivo deste trabalho foi verificar possíveis divergências entre os resultados obtidos nas avaliações da adaptabilidade de 27 genótipos de milho (Zea mays L.), e na estratificação de 22 ambientes no Estado do Paraná, por meio de técnicas baseadas na análise de fatores e regressão bissegmentada. As estratificações ambientais foram feitas por meio do método tradicional e por análise de fatores, aliada ao porcentual da porção simples da interação GxA (PS%). As análises de adaptabilidade foram realizadas por meio de regressão bissegmentada e análise de fatores. Pela análise de regressão bissegmentada, os genótipos estudados apresentaram alta performance produtiva; no entanto, não foi constatado o genótipo considerado como ideal. A adaptabilidade dos genótipos, analisada por meio de plotagens gráficas, apresentou respostas diferenciadas quando comparada à regressão bissegmentada. A análise de fatores mostrou-se eficiente nos processos de estratificação ambiental e adaptabilidade dos genótipos de milho.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraGarbuglio, Deoclécio DomingosGerage, Antonio CarlosAraújo, Pedro Mário deJunior, Nelson da Silva FonsecaShioga, Pedro Sentaro2007-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/7553Pesquisa Agropecuaria Brasileira; v.42, n.2, fev. 2007; 183-191Pesquisa Agropecuária Brasileira; v.42, n.2, fev. 2007; 183-1911678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/7553/4472info:eu-repo/semantics/openAccess2014-05-28T17:25:08Zoai:ojs.seer.sct.embrapa.br:article/7553Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-05-28T17:25:08Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability Análise de fatores e regressão bissegmentada em estudos de estratificação ambiental e adaptabilidade em milho |
title |
Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability |
spellingShingle |
Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability Garbuglio, Deoclécio Domingos Zea mays; genotype x environment interaction; stability Zea mays; interação genótipo x ambiente; estabilidade |
title_short |
Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability |
title_full |
Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability |
title_fullStr |
Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability |
title_full_unstemmed |
Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability |
title_sort |
Factor analysis and bissegmented regression for studies about environmental stratification and maize adaptability |
author |
Garbuglio, Deoclécio Domingos |
author_facet |
Garbuglio, Deoclécio Domingos Gerage, Antonio Carlos Araújo, Pedro Mário de Junior, Nelson da Silva Fonseca Shioga, Pedro Sentaro |
author_role |
author |
author2 |
Gerage, Antonio Carlos Araújo, Pedro Mário de Junior, Nelson da Silva Fonseca Shioga, Pedro Sentaro |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Garbuglio, Deoclécio Domingos Gerage, Antonio Carlos Araújo, Pedro Mário de Junior, Nelson da Silva Fonseca Shioga, Pedro Sentaro |
dc.subject.por.fl_str_mv |
Zea mays; genotype x environment interaction; stability Zea mays; interação genótipo x ambiente; estabilidade |
topic |
Zea mays; genotype x environment interaction; stability Zea mays; interação genótipo x ambiente; estabilidade |
description |
The objective of this work was to verify possible divergences among results obtained on adaptability evaluations of 27 maize genotypes (Zea mays L.), and on stratification of 22 environments on Paraná State, Brazil, through techniques of factor analysis and bissegmented regression. The environmental stratifications were made through the traditional methodology and by factor analysis, allied to the percentage of the simple portion of GxE interaction (PS%). Adaptability analyses were carried out through bissegmented regression and factor analysis. By the analysis of bissegmented regression, studied genotypes had presented high productive performance; however, it was not evidenced the genotype considered as ideal. The adaptability of the genotypes, analyzed through graphs, presented different answers when compared to bissegmented regression. Factor analysis was efficient in the processes of environment stratification and adaptability of maize genotypes. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-02-01 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/7553 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/7553 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/7553/4472 |
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 |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.42, n.2, fev. 2007; 183-191 Pesquisa Agropecuária Brasileira; v.42, n.2, fev. 2007; 183-191 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416689912643584 |