Adaptability and stability of conventional soybean by GGE biplot analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa Agropecuária Tropical (Online) |
Texto Completo: | https://revistas.ufg.br/pat/article/view/67995 |
Resumo: | The conventional soybean production has been re-establishing itself every year, due to the fact that the international market has demanded products with high agronomic performance and nutritional quality, free of genetically modified organisms. This study aimed to evaluate the adaptability of conventional soybean genotypes in the southwestern Goiás state (Rio Verde, Montividiu and Santa Helena de Goiás), Brazil, during the 2017/2018 and 2018/2019 crop seasons. A randomized blocks design was used, being tested eight genotypes (the cultivars BRS284, BRS283, BRS232, BRS317, NT11-1277, INT3459 and M6101 and the line NT1478SP). The grain and oil yields, as well as the oil and protein contents, were evaluated. Multi-environment analyses were performed using a heterogeneous residual variance model, and the GGE biplot analysis was used to describe the interrelationships between genotypes and environments. The most adapted and stable genotypes were BRS 317 for grain yield and BRS 283 for oil yield. They also corresponded more closely to the ideotype for the specific region, thus proving to be promising. NT1478SP showed the highest protein content. In the 2018/2019 crop season, Montividiu was more discriminating for the conventional soybean production, regarding grain and oil yields. KEYWORDS: Glycine max, genotype x environment interaction, plant breeding. |
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Adaptability and stability of conventional soybean by GGE biplot analysisAdptabilidade e estabilidade de soja convencional pela análise GGE biplotThe conventional soybean production has been re-establishing itself every year, due to the fact that the international market has demanded products with high agronomic performance and nutritional quality, free of genetically modified organisms. This study aimed to evaluate the adaptability of conventional soybean genotypes in the southwestern Goiás state (Rio Verde, Montividiu and Santa Helena de Goiás), Brazil, during the 2017/2018 and 2018/2019 crop seasons. A randomized blocks design was used, being tested eight genotypes (the cultivars BRS284, BRS283, BRS232, BRS317, NT11-1277, INT3459 and M6101 and the line NT1478SP). The grain and oil yields, as well as the oil and protein contents, were evaluated. Multi-environment analyses were performed using a heterogeneous residual variance model, and the GGE biplot analysis was used to describe the interrelationships between genotypes and environments. The most adapted and stable genotypes were BRS 317 for grain yield and BRS 283 for oil yield. They also corresponded more closely to the ideotype for the specific region, thus proving to be promising. NT1478SP showed the highest protein content. In the 2018/2019 crop season, Montividiu was more discriminating for the conventional soybean production, regarding grain and oil yields. KEYWORDS: Glycine max, genotype x environment interaction, plant breeding.A produção de soja convencional vem se restabelecendo a cada ano, pois o mercado internacional tem exigido produtos com elevado desempenho agronômico e qualidade nutricional, livres de organismos geneticamente modificados. Objetivou-se avaliar a adaptabilidade de genótipos de soja convencional na região sudoeste do estado de Goiás (Rio Verde, Montividiu e Santa Helena de Goiás), nas safras 2017/2018 e 2018/2019. Utilizou-se delineamento de blocos casualizados e foram testados oito genótipos (as cultivares BRS284, BRS283, BRS232, BRS317, NT11-1277, INT3459 e M6101 e a linhagem NT1478SP). Foram avaliados a produtividade de grãos e de óleo, bem como os teores de óleo e proteína. Análises multiambientes foram realizadas utilizando-se um modelo de variância residual heterogêneo, e a análise GGE biplot foi utilizada para descrever as inter-relações entre genótipos e ambientes. Os genótipos mais adaptados e estáveis foram BRS 317 para produtividade de grãos e BRS 283 para rendimento de óleo. Além disso, eles se comportaram de forma mais próxima do ideótipo para a região específica, enfatizando serem promissores. NT1478SP apresentou o maior teor de proteína. Na safra 2018/2019, Montividiu mostrou-se mais discriminativo para a produção de soja convencional, quanto à produtividade de grãos e de óleo. PALAVRAS-CHAVE: Glycine max, interação genótipos x ambientes, melhoramento genético.Escola de Agronomia - Universidade Federal de Goiás2021-08-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttps://revistas.ufg.br/pat/article/view/67995Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; Vol. 51 (2021); e67995Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); Vol. 51 (2021); e67995Pesquisa Agropecuária Tropical; v. 51 (2021); e679951983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/67995/37048Copyright (c) 2021 Pesquisa Agropecuária Tropicalinfo:eu-repo/semantics/openAccessCarvalho, Marcos PauloNunes, José Airton RodriguesCarmo, Eduardo Lima doSimon, Gustavo AndréMoraes, Rânia Nunes Oliveira2021-08-16T13:11:48Zoai:ojs.revistas.ufg.br:article/67995Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:56:32.194255Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true |
dc.title.none.fl_str_mv |
Adaptability and stability of conventional soybean by GGE biplot analysis Adptabilidade e estabilidade de soja convencional pela análise GGE biplot |
title |
Adaptability and stability of conventional soybean by GGE biplot analysis |
spellingShingle |
Adaptability and stability of conventional soybean by GGE biplot analysis Carvalho, Marcos Paulo |
title_short |
Adaptability and stability of conventional soybean by GGE biplot analysis |
title_full |
Adaptability and stability of conventional soybean by GGE biplot analysis |
title_fullStr |
Adaptability and stability of conventional soybean by GGE biplot analysis |
title_full_unstemmed |
Adaptability and stability of conventional soybean by GGE biplot analysis |
title_sort |
Adaptability and stability of conventional soybean by GGE biplot analysis |
author |
Carvalho, Marcos Paulo |
author_facet |
Carvalho, Marcos Paulo Nunes, José Airton Rodrigues Carmo, Eduardo Lima do Simon, Gustavo André Moraes, Rânia Nunes Oliveira |
author_role |
author |
author2 |
Nunes, José Airton Rodrigues Carmo, Eduardo Lima do Simon, Gustavo André Moraes, Rânia Nunes Oliveira |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Carvalho, Marcos Paulo Nunes, José Airton Rodrigues Carmo, Eduardo Lima do Simon, Gustavo André Moraes, Rânia Nunes Oliveira |
description |
The conventional soybean production has been re-establishing itself every year, due to the fact that the international market has demanded products with high agronomic performance and nutritional quality, free of genetically modified organisms. This study aimed to evaluate the adaptability of conventional soybean genotypes in the southwestern Goiás state (Rio Verde, Montividiu and Santa Helena de Goiás), Brazil, during the 2017/2018 and 2018/2019 crop seasons. A randomized blocks design was used, being tested eight genotypes (the cultivars BRS284, BRS283, BRS232, BRS317, NT11-1277, INT3459 and M6101 and the line NT1478SP). The grain and oil yields, as well as the oil and protein contents, were evaluated. Multi-environment analyses were performed using a heterogeneous residual variance model, and the GGE biplot analysis was used to describe the interrelationships between genotypes and environments. The most adapted and stable genotypes were BRS 317 for grain yield and BRS 283 for oil yield. They also corresponded more closely to the ideotype for the specific region, thus proving to be promising. NT1478SP showed the highest protein content. In the 2018/2019 crop season, Montividiu was more discriminating for the conventional soybean production, regarding grain and oil yields. KEYWORDS: Glycine max, genotype x environment interaction, plant breeding. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-16 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado por pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufg.br/pat/article/view/67995 |
url |
https://revistas.ufg.br/pat/article/view/67995 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufg.br/pat/article/view/67995/37048 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Pesquisa Agropecuária Tropical info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Pesquisa Agropecuária Tropical |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Escola de Agronomia - Universidade Federal de Goiás |
publisher.none.fl_str_mv |
Escola de Agronomia - Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; Vol. 51 (2021); e67995 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); Vol. 51 (2021); e67995 Pesquisa Agropecuária Tropical; v. 51 (2021); e67995 1983-4063 reponame:Pesquisa Agropecuária Tropical (Online) instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Pesquisa Agropecuária Tropical (Online) |
collection |
Pesquisa Agropecuária Tropical (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
aseleguini.pat@gmail.com||mgoes@agro.ufg.br |
_version_ |
1799874821067112448 |