Adaptability and stability of soybean cultivars in the region of Chapadões
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Ceres |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000400326 |
Resumo: | ABSTRACT Grain yield is a constant concern in soybean breeding programs for being highly influenced by the environment. This trait can be significantly affected by the sowing times. Thus, for the correct cultivar recommendation, methods of stability and adaptability analysis are used to verify the genotype x environment interaction at different sowing times. In this study, ten soybean cultivars were evaluated in 2016/2017 and 2017/2018 seasons, at different sowing times. Each experiment was carried out in a randomized block design with three replications. The methods of Eberhart & Russel and Lin & Binns were used for cultivars recommendation for general, favorable, and unfavorable environments. Cultivars CS2728, BONUS, and BRS1074 show high yield and predictability and therefore are the most suitable for the region of Chapadão do Sul. |
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Adaptability and stability of soybean cultivars in the region of ChapadõesGlycine maxEberhart & RussellGenotype x environment interactionLin & BinnsABSTRACT Grain yield is a constant concern in soybean breeding programs for being highly influenced by the environment. This trait can be significantly affected by the sowing times. Thus, for the correct cultivar recommendation, methods of stability and adaptability analysis are used to verify the genotype x environment interaction at different sowing times. In this study, ten soybean cultivars were evaluated in 2016/2017 and 2017/2018 seasons, at different sowing times. Each experiment was carried out in a randomized block design with three replications. The methods of Eberhart & Russel and Lin & Binns were used for cultivars recommendation for general, favorable, and unfavorable environments. Cultivars CS2728, BONUS, and BRS1074 show high yield and predictability and therefore are the most suitable for the region of Chapadão do Sul.Universidade Federal de Viçosa2021-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000400326Revista Ceres v.68 n.4 2021reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/0034-737x202168040010info:eu-repo/semantics/openAccessAlmeida,Helaine ClaireSoares,Abel Pereira LimaPoersch,Nerison LuisIzidorio,Tarcel HenriqueTeodoro,Larissa Pereira RibeiroTeodoro,Paulo Eduardoeng2021-08-03T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Adaptability and stability of soybean cultivars in the region of Chapadões |
title |
Adaptability and stability of soybean cultivars in the region of Chapadões |
spellingShingle |
Adaptability and stability of soybean cultivars in the region of Chapadões Almeida,Helaine Claire Glycine max Eberhart & Russell Genotype x environment interaction Lin & Binns |
title_short |
Adaptability and stability of soybean cultivars in the region of Chapadões |
title_full |
Adaptability and stability of soybean cultivars in the region of Chapadões |
title_fullStr |
Adaptability and stability of soybean cultivars in the region of Chapadões |
title_full_unstemmed |
Adaptability and stability of soybean cultivars in the region of Chapadões |
title_sort |
Adaptability and stability of soybean cultivars in the region of Chapadões |
author |
Almeida,Helaine Claire |
author_facet |
Almeida,Helaine Claire Soares,Abel Pereira Lima Poersch,Nerison Luis Izidorio,Tarcel Henrique Teodoro,Larissa Pereira Ribeiro Teodoro,Paulo Eduardo |
author_role |
author |
author2 |
Soares,Abel Pereira Lima Poersch,Nerison Luis Izidorio,Tarcel Henrique Teodoro,Larissa Pereira Ribeiro Teodoro,Paulo Eduardo |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Almeida,Helaine Claire Soares,Abel Pereira Lima Poersch,Nerison Luis Izidorio,Tarcel Henrique Teodoro,Larissa Pereira Ribeiro Teodoro,Paulo Eduardo |
dc.subject.por.fl_str_mv |
Glycine max Eberhart & Russell Genotype x environment interaction Lin & Binns |
topic |
Glycine max Eberhart & Russell Genotype x environment interaction Lin & Binns |
dc.description.none.fl_txt_mv |
ABSTRACT Grain yield is a constant concern in soybean breeding programs for being highly influenced by the environment. This trait can be significantly affected by the sowing times. Thus, for the correct cultivar recommendation, methods of stability and adaptability analysis are used to verify the genotype x environment interaction at different sowing times. In this study, ten soybean cultivars were evaluated in 2016/2017 and 2017/2018 seasons, at different sowing times. Each experiment was carried out in a randomized block design with three replications. The methods of Eberhart & Russel and Lin & Binns were used for cultivars recommendation for general, favorable, and unfavorable environments. Cultivars CS2728, BONUS, and BRS1074 show high yield and predictability and therefore are the most suitable for the region of Chapadão do Sul. |
description |
ABSTRACT Grain yield is a constant concern in soybean breeding programs for being highly influenced by the environment. This trait can be significantly affected by the sowing times. Thus, for the correct cultivar recommendation, methods of stability and adaptability analysis are used to verify the genotype x environment interaction at different sowing times. In this study, ten soybean cultivars were evaluated in 2016/2017 and 2017/2018 seasons, at different sowing times. Each experiment was carried out in a randomized block design with three replications. The methods of Eberhart & Russel and Lin & Binns were used for cultivars recommendation for general, favorable, and unfavorable environments. Cultivars CS2728, BONUS, and BRS1074 show high yield and predictability and therefore are the most suitable for the region of Chapadão do Sul. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000400326 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000400326 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-737x202168040010 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa |
dc.source.none.fl_str_mv |
Revista Ceres v.68 n.4 2021 reponame:Revista Ceres instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Revista Ceres |
collection |
Revista Ceres |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1728006784041353216 |