Half a century of studying adaptability and stability in maize and soybean in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | https://www.revistas.usp.br/sa/article/view/183367 |
Resumo: | The study of adaptability and stability underlies the cultivar recommendation process for all crops. There is a considerable number of statistical methods available for this purpose, but little is known about their actual adoption by the Brazilian scientific community. The objective of this study was to carry out a systematic review of the scientific literature on the adaptability and stability methods used in maize and soybean in Brazil from scientific articles published between 1970 and 2017 in Brazilian journals. Article searches were carried out in journals indexed through the SciELO database. The articles were classified according to the year of publication and the adaptability and stability methods used. We also evaluated the pattern of association between methods. We found 113 articles on adaptability and stability in maize and soybean, in which 21 methods were listed. The most commonly used method was the Eberhart and Russell methodology. The Cruz, Torres, and Vencovsky along with the AMMI methods were also widely used. The number of articles using most methods decreased in the current decade, except for the GGE Biplot, MHPRVG, and Centroid methods. In studies with more than one method, the methods were more likely to be used together with the Eberhart and Russell methodology. Adaptability and stability in maize and soybean have been widely studied over the last several decades in Brazil, although the number of publications on this subject has decreased over this time period. |
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Half a century of studying adaptability and stability in maize and soybean in BrazilZea mays L.Glycine max (L.) Merrilgenotype × environment interactionadaptationcultivar recommendationThe study of adaptability and stability underlies the cultivar recommendation process for all crops. There is a considerable number of statistical methods available for this purpose, but little is known about their actual adoption by the Brazilian scientific community. The objective of this study was to carry out a systematic review of the scientific literature on the adaptability and stability methods used in maize and soybean in Brazil from scientific articles published between 1970 and 2017 in Brazilian journals. Article searches were carried out in journals indexed through the SciELO database. The articles were classified according to the year of publication and the adaptability and stability methods used. We also evaluated the pattern of association between methods. We found 113 articles on adaptability and stability in maize and soybean, in which 21 methods were listed. The most commonly used method was the Eberhart and Russell methodology. The Cruz, Torres, and Vencovsky along with the AMMI methods were also widely used. The number of articles using most methods decreased in the current decade, except for the GGE Biplot, MHPRVG, and Centroid methods. In studies with more than one method, the methods were more likely to be used together with the Eberhart and Russell methodology. Adaptability and stability in maize and soybean have been widely studied over the last several decades in Brazil, although the number of publications on this subject has decreased over this time period.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2021-01-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/18336710.1590/1678-992X-2019-0197Scientia Agricola; v. 78 n. 3 (2021); e20190197Scientia Agricola; Vol. 78 Núm. 3 (2021); e20190197Scientia Agricola; Vol. 78 No. 3 (2021); e201901971678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/183367/170003Copyright (c) 2021 Scientia Agricolahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessRezende, Wender Santos Cruz, Cosme Damião Borém, Aluízio Rosado, Renato Domiciano Silva 2021-03-23T19:22:06Zoai:revistas.usp.br:article/183367Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2021-03-23T19:22:06Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Half a century of studying adaptability and stability in maize and soybean in Brazil |
title |
Half a century of studying adaptability and stability in maize and soybean in Brazil |
spellingShingle |
Half a century of studying adaptability and stability in maize and soybean in Brazil Rezende, Wender Santos Zea mays L. Glycine max (L.) Merril genotype × environment interaction adaptation cultivar recommendation |
title_short |
Half a century of studying adaptability and stability in maize and soybean in Brazil |
title_full |
Half a century of studying adaptability and stability in maize and soybean in Brazil |
title_fullStr |
Half a century of studying adaptability and stability in maize and soybean in Brazil |
title_full_unstemmed |
Half a century of studying adaptability and stability in maize and soybean in Brazil |
title_sort |
Half a century of studying adaptability and stability in maize and soybean in Brazil |
author |
Rezende, Wender Santos |
author_facet |
Rezende, Wender Santos Cruz, Cosme Damião Borém, Aluízio Rosado, Renato Domiciano Silva |
author_role |
author |
author2 |
Cruz, Cosme Damião Borém, Aluízio Rosado, Renato Domiciano Silva |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Rezende, Wender Santos Cruz, Cosme Damião Borém, Aluízio Rosado, Renato Domiciano Silva |
dc.subject.por.fl_str_mv |
Zea mays L. Glycine max (L.) Merril genotype × environment interaction adaptation cultivar recommendation |
topic |
Zea mays L. Glycine max (L.) Merril genotype × environment interaction adaptation cultivar recommendation |
description |
The study of adaptability and stability underlies the cultivar recommendation process for all crops. There is a considerable number of statistical methods available for this purpose, but little is known about their actual adoption by the Brazilian scientific community. The objective of this study was to carry out a systematic review of the scientific literature on the adaptability and stability methods used in maize and soybean in Brazil from scientific articles published between 1970 and 2017 in Brazilian journals. Article searches were carried out in journals indexed through the SciELO database. The articles were classified according to the year of publication and the adaptability and stability methods used. We also evaluated the pattern of association between methods. We found 113 articles on adaptability and stability in maize and soybean, in which 21 methods were listed. The most commonly used method was the Eberhart and Russell methodology. The Cruz, Torres, and Vencovsky along with the AMMI methods were also widely used. The number of articles using most methods decreased in the current decade, except for the GGE Biplot, MHPRVG, and Centroid methods. In studies with more than one method, the methods were more likely to be used together with the Eberhart and Russell methodology. Adaptability and stability in maize and soybean have been widely studied over the last several decades in Brazil, although the number of publications on this subject has decreased over this time period. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-06 |
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://www.revistas.usp.br/sa/article/view/183367 10.1590/1678-992X-2019-0197 |
url |
https://www.revistas.usp.br/sa/article/view/183367 |
identifier_str_mv |
10.1590/1678-992X-2019-0197 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/183367/170003 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Scientia Agricola http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Scientia Agricola http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
dc.source.none.fl_str_mv |
Scientia Agricola; v. 78 n. 3 (2021); e20190197 Scientia Agricola; Vol. 78 Núm. 3 (2021); e20190197 Scientia Agricola; Vol. 78 No. 3 (2021); e20190197 1678-992X 0103-9016 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1800222794526490624 |