Half a century of studying adaptability and stability in maize and soybean in Brazil

Detalhes bibliográficos
Autor(a) principal: Rezende, Wender Santos
Data de Publicação: 2021
Outros Autores: Cruz, Cosme Damião, Borém, Aluízio, Rosado, Renato Domiciano Silva
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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spelling 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
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