Adaptability and stability of conventional soybean by GGE biplot analysis
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 adaptabili...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Goiás
2021-08-01
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| Series: | Pesquisa Agropecuária Tropical |
| Subjects: | |
| Online Access: | https://www.revistas.ufg.br/pat/article/view/67995/37048 |
| _version_ | 1818887372745474048 |
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| author | Marcos Paulo Carvalho José Airton Rodrigues Nunes Eduardo Lima do Carmo Gustavo André Simon Rânia Nunes Oliveira Moraes |
| author_facet | Marcos Paulo Carvalho José Airton Rodrigues Nunes Eduardo Lima do Carmo Gustavo André Simon Rânia Nunes Oliveira Moraes |
| author_sort | Marcos Paulo Carvalho |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T16:36:11Z |
| format | Article |
| id | doaj.art-f04cc2d573b146cf84c2d00597aa80e9 |
| institution | Directory Open Access Journal |
| issn | 1983-4063 |
| language | English |
| last_indexed | 2024-12-19T16:36:11Z |
| publishDate | 2021-08-01 |
| publisher | Universidade Federal de Goiás |
| record_format | Article |
| series | Pesquisa Agropecuária Tropical |
| spelling | doaj.art-f04cc2d573b146cf84c2d00597aa80e92022-12-21T20:13:57ZengUniversidade Federal de GoiásPesquisa Agropecuária Tropical1983-40632021-08-0151e6799510.1590/1983-40632021v5167995Adaptability and stability of conventional soybean by GGE biplot analysisMarcos Paulo Carvalho0https://orcid.org/0000-0003-0930-3377José Airton Rodrigues Nunes1https://orcid.org/0000-0002-6260-7890Eduardo Lima do Carmo2https://orcid.org/0000-0001-8023-5245Gustavo André Simon3https://orcid.org/0000-0001-6935-6580Rânia Nunes Oliveira Moraes4https://orcid.org/0000-0003-1114-7692Universidade de Rio Verde, Rio Verde, GO, Brasil.Universidade Federal de Lavras, Instituto de Ciências Naturais, Departamento de Biologia, Lavras, MG, Brasil.Universidade de Rio Verde, Rio Verde, GO, Brasil.Universidade de Rio Verde, Rio Verde, GO, Brasil.Instituto Federal Goiano, Rio Verde, GO, Brasil.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.https://www.revistas.ufg.br/pat/article/view/67995/37048glycine maxgenotype x environment interactionplant breeding |
| spellingShingle | Marcos Paulo Carvalho José Airton Rodrigues Nunes Eduardo Lima do Carmo Gustavo André Simon Rânia Nunes Oliveira Moraes Adaptability and stability of conventional soybean by GGE biplot analysis Pesquisa Agropecuária Tropical glycine max genotype x environment interaction plant breeding |
| title | 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_short | Adaptability and stability of conventional soybean by GGE biplot analysis |
| title_sort | adaptability and stability of conventional soybean by gge biplot analysis |
| topic | glycine max genotype x environment interaction plant breeding |
| url | https://www.revistas.ufg.br/pat/article/view/67995/37048 |
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