AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust

Detalhes bibliográficos
Autor(a) principal: Yokomizo, Gilberto Ken-Iti
Data de Publicação: 2013
Outros Autores: Duarte, João Batista, Vello, Natal Antonio, Unfried, Jair Rogério
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/16254
Resumo: The objective of this work was to quantify the effects of genotype x environment (GxE) interaction on grain yield in soybean progenies pre-selected for resistance to Asian soybean rust (Phakopsora pachyrhizi). Twelve trials evaluating progenies (lines F6 and F7) were carried out in different environments (combination of locations, years, and fungicide treatments to control late season diseases, including or not rust). Additive main effects and multiplicative interaction (AMMI) analysis captured, as GxE interaction pattern, 57% of the variance associated with the residues of non‑additivity, of which 44% were retained in the first principal component of interaction, and the remainder in the second. The first component was associated with the differences between the years of evaluation, which denotes unpredictability. The second component, however, was associated with different crop managements, related to the control or not of the diseases. Among genotypes with wide yield adaptability, the USP 02‑16.045 and USP 10‑10 lineages stood out.
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spelling AMMI analysis of grain yield in soybean lines selected for resistance to Asian rustAnálise AMMI da produtividade de grãos em linhagens de soja selecionadas para resistência à ferrugem asiáticaGlycine max; Phakopsora pachyrhizi; biplot; genotype x environment interactionGlycine max; Phakopsora pachyrhizi; biplot; interação genótipo x ambienteThe objective of this work was to quantify the effects of genotype x environment (GxE) interaction on grain yield in soybean progenies pre-selected for resistance to Asian soybean rust (Phakopsora pachyrhizi). Twelve trials evaluating progenies (lines F6 and F7) were carried out in different environments (combination of locations, years, and fungicide treatments to control late season diseases, including or not rust). Additive main effects and multiplicative interaction (AMMI) analysis captured, as GxE interaction pattern, 57% of the variance associated with the residues of non‑additivity, of which 44% were retained in the first principal component of interaction, and the remainder in the second. The first component was associated with the differences between the years of evaluation, which denotes unpredictability. The second component, however, was associated with different crop managements, related to the control or not of the diseases. Among genotypes with wide yield adaptability, the USP 02‑16.045 and USP 10‑10 lineages stood out.O objetivo deste trabalho foi quantificar os efeitos da interação genótipo x ambiente (GxE) sobre a produtividade de grãos em progênies de soja pré-selecionadas para resistência à ferrugem asiática (Phakopsora pachyrhizi). Doze ensaios de avaliação de progênies (linhagens F6 e F7) foram conduzidos em diferentes ambientes (combinação de locais, anos e tratamentos fungicidas para controle de doenças de final de ciclo, incluindo ou não a ferrugem). A análise “additive main effects and multiplicative interaction” (AMMI) capturou, como padrão da interação GxE, 57% da variação associada aos resíduos de não aditividade, dos quais 44% foram retidos no primeiro componente principal de interação e o restante, no segundo. O primeiro componente associou-se a diferenças entre os anos de avaliação, o que denota imprevisibilidade na predição. O segundo componente, no entanto, associou-se ao manejo diferenciado do cultivo, no que se refere ao controle ou não das doenças. Entre os genótipos de ampla adaptabilidade produtiva, as linhagens USP 02‑16.045 e USP 10‑10 apresentaram desempenho destacado.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPqYokomizo, Gilberto Ken-ItiDuarte, João BatistaVello, Natal AntonioUnfried, Jair Rogério2013-12-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/16254Pesquisa Agropecuaria Brasileira; v.48, n.10, out. 2013; 1376-1384Pesquisa Agropecuária Brasileira; v.48, n.10, out. 2013; 1376-13841678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/16254/12437https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/16254/10164info:eu-repo/semantics/openAccess2014-03-13T19:14:53Zoai:ojs.seer.sct.embrapa.br:article/16254Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-03-13T19:14:53Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
Análise AMMI da produtividade de grãos em linhagens de soja selecionadas para resistência à ferrugem asiática
title AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
spellingShingle AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
Yokomizo, Gilberto Ken-Iti
Glycine max; Phakopsora pachyrhizi; biplot; genotype x environment interaction
Glycine max; Phakopsora pachyrhizi; biplot; interação genótipo x ambiente
title_short AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
title_full AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
title_fullStr AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
title_full_unstemmed AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
title_sort AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
author Yokomizo, Gilberto Ken-Iti
author_facet Yokomizo, Gilberto Ken-Iti
Duarte, João Batista
Vello, Natal Antonio
Unfried, Jair Rogério
author_role author
author2 Duarte, João Batista
Vello, Natal Antonio
Unfried, Jair Rogério
author2_role author
author
author
dc.contributor.none.fl_str_mv
CNPq
dc.contributor.author.fl_str_mv Yokomizo, Gilberto Ken-Iti
Duarte, João Batista
Vello, Natal Antonio
Unfried, Jair Rogério
dc.subject.por.fl_str_mv Glycine max; Phakopsora pachyrhizi; biplot; genotype x environment interaction
Glycine max; Phakopsora pachyrhizi; biplot; interação genótipo x ambiente
topic Glycine max; Phakopsora pachyrhizi; biplot; genotype x environment interaction
Glycine max; Phakopsora pachyrhizi; biplot; interação genótipo x ambiente
description The objective of this work was to quantify the effects of genotype x environment (GxE) interaction on grain yield in soybean progenies pre-selected for resistance to Asian soybean rust (Phakopsora pachyrhizi). Twelve trials evaluating progenies (lines F6 and F7) were carried out in different environments (combination of locations, years, and fungicide treatments to control late season diseases, including or not rust). Additive main effects and multiplicative interaction (AMMI) analysis captured, as GxE interaction pattern, 57% of the variance associated with the residues of non‑additivity, of which 44% were retained in the first principal component of interaction, and the remainder in the second. The first component was associated with the differences between the years of evaluation, which denotes unpredictability. The second component, however, was associated with different crop managements, related to the control or not of the diseases. Among genotypes with wide yield adaptability, the USP 02‑16.045 and USP 10‑10 lineages stood out.
publishDate 2013
dc.date.none.fl_str_mv 2013-12-20
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/16254
url https://seer.sct.embrapa.br/index.php/pab/article/view/16254
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/16254/12437
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/16254/10164
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.48, n.10, out. 2013; 1376-1384
Pesquisa Agropecuária Brasileira; v.48, n.10, out. 2013; 1376-1384
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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