Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding

Detalhes bibliográficos
Autor(a) principal: Ferreira, Daniel Furtado
Data de Publicação: 2015
Outros Autores: Demétrio, Clarice Garcia Borges, Manly, Bryan Frederick John, Machado, Amauri de Almeida, Vencovsky, Roland
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/14685
Resumo: This paper reviews the main concepts of several methods of phenotypic stability analysis and points out their advantages and limitations. It was concluded that the simple linear regression method of Eberhart & Russel (1966) and the bi segmented regression method of Silva & Barreto (1985) have only historical importance nowadays. Moreover, based on factors discussed in the paper, it is recommended that the regression models of Toler & Burrows (1998) and the Additive Main effects and Multiplicative Interactions (AMMI) model should be used simultaneously to study and to estimate phenotypic stability effects.
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spelling Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breedingModelos estatísticos na agricultura: métodos biométricos para avaliar a estabilidade fenotípica no melhoramento de plantasAMMINon-linear statistical modelsLinear regression modelsAdditive main effects and multiplicative interaction (AMMI)Efeitos principais aditivos e interação multiplicativaModelos estatísticos não-linearesModelos lineares de regressãoThis paper reviews the main concepts of several methods of phenotypic stability analysis and points out their advantages and limitations. It was concluded that the simple linear regression method of Eberhart & Russel (1966) and the bi segmented regression method of Silva & Barreto (1985) have only historical importance nowadays. Moreover, based on factors discussed in the paper, it is recommended that the regression models of Toler & Burrows (1998) and the Additive Main effects and Multiplicative Interactions (AMMI) model should be used simultaneously to study and to estimate phenotypic stability effects.Este trabalho revisa os principais conceitos de diversos métodos de análise da estabilidade fenotípica e aponta suas vantagens e limitações. Concluiu-se que os métodos de regressão linear simples de Eberhart & Russel (1966) e o de regressão bisegmentada de Silva & Barreto (1985) têm apenas importância histórica nos dias atuais. Além disso, considerando-se os aspectos discutidos, recomenda-se que os modelos de regressão de Toler & Burrows (1998) e o modelo com efeitos principais aditivos e interação multiplicativa (AMMI) sejam usados simultaneamente para estudar e estimar os efeitos da estabilidade fenotípica.Universidade Federal de Lavras (UFLA)2015-10-082017-08-01T20:15:53Z2017-08-01T20:15:53Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfFERREIRA, D. F. et al. Statistical models in agriculture biometrical methods for evaluating phenotypic stability in plant breeding. CERNE, Lavras, v. 12, n. 4, p. 373-388, out./dez. 2006.http://repositorio.ufla.br/jspui/handle/1/146852317-63420104-7760reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAporCopyright (c) 2015 CERNEAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessFerreira, Daniel FurtadoDemétrio, Clarice Garcia BorgesManly, Bryan Frederick JohnMachado, Amauri de AlmeidaVencovsky, Roland2021-03-29T22:51:30Zoai:localhost:1/14685Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-03-29T22:51:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
Modelos estatísticos na agricultura: métodos biométricos para avaliar a estabilidade fenotípica no melhoramento de plantas
title Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
spellingShingle Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
Ferreira, Daniel Furtado
AMMI
Non-linear statistical models
Linear regression models
Additive main effects and multiplicative interaction (AMMI)
Efeitos principais aditivos e interação multiplicativa
Modelos estatísticos não-lineares
Modelos lineares de regressão
title_short Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
title_full Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
title_fullStr Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
title_full_unstemmed Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
title_sort Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding
author Ferreira, Daniel Furtado
author_facet Ferreira, Daniel Furtado
Demétrio, Clarice Garcia Borges
Manly, Bryan Frederick John
Machado, Amauri de Almeida
Vencovsky, Roland
author_role author
author2 Demétrio, Clarice Garcia Borges
Manly, Bryan Frederick John
Machado, Amauri de Almeida
Vencovsky, Roland
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ferreira, Daniel Furtado
Demétrio, Clarice Garcia Borges
Manly, Bryan Frederick John
Machado, Amauri de Almeida
Vencovsky, Roland
dc.subject.por.fl_str_mv AMMI
Non-linear statistical models
Linear regression models
Additive main effects and multiplicative interaction (AMMI)
Efeitos principais aditivos e interação multiplicativa
Modelos estatísticos não-lineares
Modelos lineares de regressão
topic AMMI
Non-linear statistical models
Linear regression models
Additive main effects and multiplicative interaction (AMMI)
Efeitos principais aditivos e interação multiplicativa
Modelos estatísticos não-lineares
Modelos lineares de regressão
description This paper reviews the main concepts of several methods of phenotypic stability analysis and points out their advantages and limitations. It was concluded that the simple linear regression method of Eberhart & Russel (1966) and the bi segmented regression method of Silva & Barreto (1985) have only historical importance nowadays. Moreover, based on factors discussed in the paper, it is recommended that the regression models of Toler & Burrows (1998) and the Additive Main effects and Multiplicative Interactions (AMMI) model should be used simultaneously to study and to estimate phenotypic stability effects.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-08
2017-08-01T20:15:53Z
2017-08-01T20:15:53Z
2017-08-01
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 FERREIRA, D. F. et al. Statistical models in agriculture biometrical methods for evaluating phenotypic stability in plant breeding. CERNE, Lavras, v. 12, n. 4, p. 373-388, out./dez. 2006.
http://repositorio.ufla.br/jspui/handle/1/14685
identifier_str_mv FERREIRA, D. F. et al. Statistical models in agriculture biometrical methods for evaluating phenotypic stability in plant breeding. CERNE, Lavras, v. 12, n. 4, p. 373-388, out./dez. 2006.
url http://repositorio.ufla.br/jspui/handle/1/14685
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Copyright (c) 2015 CERNE
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 CERNE
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA)
publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA)
dc.source.none.fl_str_mv 2317-6342
0104-7760
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1815439073168326656

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