Environmental stratification and optimization of a multi-environment trial net for soybean genotypes in Cerrado

Detalhes bibliográficos
Autor(a) principal: Branquinho, Rodrigo Gomes
Data de Publicação: 2014
Outros Autores: Duarte, João Batista, Souza, Plínio Itamar Mello de, Silva Neto, Sebastião Pedro da, Pacheco, Roberto Miranda
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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spelling 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)
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