Adaptability and stability of conventional soybean by GGE biplot analysis

Adaptability and stability of conventional soybean by GGE biplot analysis

ABSTRACT 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.

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Main Authors: Carvalho,Marcos Paulo, Nunes,José Airton Rodrigues, Carmo,Eduardo Lima do, Simon,Gustavo André, Moraes,Rânia Nunes Oliveira
Format: Digital revista
Language:English
Published: Escola de Agronomia/UFG 2021
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-40632021000100220
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spelling oai:scielo:S1983-406320210001002202021-09-23Adaptability and stability of conventional soybean by GGE biplot analysisCarvalho,Marcos PauloNunes,José Airton RodriguesCarmo,Eduardo Lima doSimon,Gustavo AndréMoraes,Rânia Nunes Oliveira Glycine max genotype x environment interaction plant breeding ABSTRACT 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.info:eu-repo/semantics/openAccessEscola de Agronomia/UFGPesquisa Agropecuária Tropical v.51 20212021-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-40632021000100220en10.1590/1983-40632021v5167995
institution SCIELO
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country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Carvalho,Marcos Paulo
Nunes,José Airton Rodrigues
Carmo,Eduardo Lima do
Simon,Gustavo André
Moraes,Rânia Nunes Oliveira
spellingShingle Carvalho,Marcos Paulo
Nunes,José Airton Rodrigues
Carmo,Eduardo Lima do
Simon,Gustavo André
Moraes,Rânia Nunes Oliveira
Adaptability and stability of conventional soybean by GGE biplot analysis
author_facet Carvalho,Marcos Paulo
Nunes,José Airton Rodrigues
Carmo,Eduardo Lima do
Simon,Gustavo André
Moraes,Rânia Nunes Oliveira
author_sort Carvalho,Marcos Paulo
title Adaptability and stability of conventional soybean by GGE biplot analysis
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
description ABSTRACT 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.
publisher Escola de Agronomia/UFG
publishDate 2021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-40632021000100220
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AT carmoeduardolimado adaptabilityandstabilityofconventionalsoybeanbyggebiplotanalysis
AT simongustavoandre adaptabilityandstabilityofconventionalsoybeanbyggebiplotanalysis
AT moraesranianunesoliveira adaptabilityandstabilityofconventionalsoybeanbyggebiplotanalysis
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