Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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/19399 |
Resumo: | The objective of this work was to establish a consistent environmental stratification for recommendation and evaluation of experimental soybean lines and cultivars in the Cerrado region, from the analyses of genotype by environment interaction (GxE) for grain yield, besides evaluating the current trial network on the value for cultivation and use (VCU), for its optimization. Data were obtained from 559 competition trials of soybean lines, performed in 57 locations, during seven harvest periods (2002/2003 to 2008/2009). Joint analyses of variance were carried out by the AMMI (additive main effects and multiplicative interaction) model, and the environmental stratification by the related statistical approach of “winning genotypes”. The GxE interaction was always significant as a result of the genotype differential response to environmental change. Test locations clustered differently according to maturity groups. Redundancy was observed in 20% of the locations, which indicates the possibility of optimizing the trial network by the elimination or replacement of these locations. The target region should receive different stratifications, congenerous to each maturity group, and may be divided into 22 (early cycle), 23 (medium cycle), and 21 (long cycle) environmental strata. |
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Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in CerradoEstratificação ambiental e otimização de rede de ensaios de genótipos de soja no CerradoGlycine max; AMMI analysis; winner genotype; genotype x environment interaction; key locations; mega-environmentGlycine max; análise AMMI; genótipo vencedor; interação genótipo x ambiente; locais-chave; mega-ambienteThe objective of this work was to establish a consistent environmental stratification for recommendation and evaluation of experimental soybean lines and cultivars in the Cerrado region, from the analyses of genotype by environment interaction (GxE) for grain yield, besides evaluating the current trial network on the value for cultivation and use (VCU), for its optimization. Data were obtained from 559 competition trials of soybean lines, performed in 57 locations, during seven harvest periods (2002/2003 to 2008/2009). Joint analyses of variance were carried out by the AMMI (additive main effects and multiplicative interaction) model, and the environmental stratification by the related statistical approach of “winning genotypes”. The GxE interaction was always significant as a result of the genotype differential response to environmental change. Test locations clustered differently according to maturity groups. Redundancy was observed in 20% of the locations, which indicates the possibility of optimizing the trial network by the elimination or replacement of these locations. The target region should receive different stratifications, congenerous to each maturity group, and may be divided into 22 (early cycle), 23 (medium cycle), and 21 (long cycle) environmental strata. O objetivo deste trabalho foi estabelecer uma estratificação ambiental consistente, para a recomendação e a avaliação de linhagens experimentais e cultivares de soja na região do Cerrado, a partir de análises da interação entre genótipos e ambientes (GxA) quanto à produtividade de grãos, além de avaliar a atual rede de ensaios de valor de cultivo e uso (VCU) para sua otimização. Os dados provieram de 559 ensaios de competição de linhagens de soja, realizados em 57 localidades, durante sete safras agrícolas (2002/2003 a 2008/2009). Realizaram-se análises conjuntas de variância, pelo modelo AMMI ("additive main effects and multiplicative interaction"), e de estratificação ambiental, pela abordagem correlata de “genótipos vencedores”. A interação GxA foi sempre significativa, como resultado da resposta diferencial dos genótipos à variação ambiental. Os locais de teste se agruparam de modo diferente de acordo com os grupos de maturação. Observou-se redundância em 20% dos locais, o que indica a possibilidade de otimização da rede de ensaios, via eliminação e substituição dessas localidades. A região-alvo deve receber estratificações distintas, congêneres a cada grupo de maturação, e pode ser dividida em 22 (ciclo precoce), 23 (ciclo médio) e 21 (ciclo tardio) estratos ambientais. Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPqBranquinho, Rodrigo GomesDuarte, João BatistaSouza, Plínio Itamar Mello deSilva Neto, Sebastião Pedro daPacheco, Roberto Miranda2014-11-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/19399Pesquisa Agropecuaria Brasileira; v.49, n.10, out. 2014; 783-795Pesquisa Agropecuária Brasileira; v.49, n.10, out. 2014; 783-7951678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/19399/12803https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/19399/11715info:eu-repo/semantics/openAccess2014-11-14T18:14:43Zoai:ojs.seer.sct.embrapa.br:article/19399Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-11-14T18:14:43Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado Estratificação ambiental e otimização de rede de ensaios de genótipos de soja no Cerrado |
title |
Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado |
spellingShingle |
Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado Branquinho, Rodrigo Gomes Glycine max; AMMI analysis; winner genotype; genotype x environment interaction; key locations; mega-environment Glycine max; análise AMMI; genótipo vencedor; interação genótipo x ambiente; locais-chave; mega-ambiente |
title_short |
Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado |
title_full |
Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado |
title_fullStr |
Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado |
title_full_unstemmed |
Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado |
title_sort |
Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado |
author |
Branquinho, Rodrigo Gomes |
author_facet |
Branquinho, Rodrigo Gomes Duarte, João Batista Souza, Plínio Itamar Mello de Silva Neto, Sebastião Pedro da Pacheco, Roberto Miranda |
author_role |
author |
author2 |
Duarte, João Batista Souza, Plínio Itamar Mello de Silva Neto, Sebastião Pedro da Pacheco, Roberto Miranda |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
CNPq |
dc.contributor.author.fl_str_mv |
Branquinho, Rodrigo Gomes Duarte, João Batista Souza, Plínio Itamar Mello de Silva Neto, Sebastião Pedro da Pacheco, Roberto Miranda |
dc.subject.por.fl_str_mv |
Glycine max; AMMI analysis; winner genotype; genotype x environment interaction; key locations; mega-environment Glycine max; análise AMMI; genótipo vencedor; interação genótipo x ambiente; locais-chave; mega-ambiente |
topic |
Glycine max; AMMI analysis; winner genotype; genotype x environment interaction; key locations; mega-environment Glycine max; análise AMMI; genótipo vencedor; interação genótipo x ambiente; locais-chave; mega-ambiente |
description |
The objective of this work was to establish a consistent environmental stratification for recommendation and evaluation of experimental soybean lines and cultivars in the Cerrado region, from the analyses of genotype by environment interaction (GxE) for grain yield, besides evaluating the current trial network on the value for cultivation and use (VCU), for its optimization. Data were obtained from 559 competition trials of soybean lines, performed in 57 locations, during seven harvest periods (2002/2003 to 2008/2009). Joint analyses of variance were carried out by the AMMI (additive main effects and multiplicative interaction) model, and the environmental stratification by the related statistical approach of “winning genotypes”. The GxE interaction was always significant as a result of the genotype differential response to environmental change. Test locations clustered differently according to maturity groups. Redundancy was observed in 20% of the locations, which indicates the possibility of optimizing the trial network by the elimination or replacement of these locations. The target region should receive different stratifications, congenerous to each maturity group, and may be divided into 22 (early cycle), 23 (medium cycle), and 21 (long cycle) environmental strata. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-11-03 |
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/19399 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/19399 |
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/19399/12803 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/19399/11715 |
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.49, n.10, out. 2014; 783-795 Pesquisa Agropecuária Brasileira; v.49, n.10, out. 2014; 783-795 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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1793416662147399680 |