AMMI analysis of grain yield in soybean lines selected for resistance to Asian rust
Autor(a) principal: | |
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Data de Publicação: | 2013 |
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/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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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 |
_version_ |
1793416708339269632 |