Genetic parameters and multiple-trait selection in wheat genotypes

Detalhes bibliográficos
Autor(a) principal: Meier, Carine
Data de Publicação: 2021
Outros Autores: Marchioro, Volmir Sergio, Meira, Daniela, Olivoto, Tiago, Klein, Luís Antônio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/67996
Resumo: Mixed models and multivariate analysis are powerful tools for selecting superior genotypes in plant breeding programs. The BLUP (best linear unbiased prediction) method has been used to predict genetic values without environmental effects. Furthermore, the FAI-BLUP (ideotype-design index) procedure is especially valuable for plant breeding because of multiple-trait selection. This study aimed to determine the genetic potential of advanced wheat generations using REML/BLUP in combination with multivariate techniques for the selection of superior genotypes. The experiment consisted of eleven wheat (Triticum aestivum L.) genotypes. The experimental design was randomized blocks, with three replications. Plant height, spike insertion height, number of tillers, number of spikelets, kernel width, hectoliter weight and kernel weight per plant were determined. The genetic parameters were estimated using the REML/BLUP methodology, and the FAI-BLUP index was calculated using predicted genetic values. The genotypes UFSMFW 1-02, UFSMFW 1-05 and UFSMFW 1-04 show potential to increase the grain yield. The selection gains for number of tillers (14.63 %) and kernel weight per plant (22.35 %) indicate the potential to select superior genotypes. KEYWORDS: Triticum aestivum L., plant breeding, mixed models.
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spelling Genetic parameters and multiple-trait selection in wheat genotypesParâmetros genéticos e seleção de múltiplas características em genótipos de trigoMixed models and multivariate analysis are powerful tools for selecting superior genotypes in plant breeding programs. The BLUP (best linear unbiased prediction) method has been used to predict genetic values without environmental effects. Furthermore, the FAI-BLUP (ideotype-design index) procedure is especially valuable for plant breeding because of multiple-trait selection. This study aimed to determine the genetic potential of advanced wheat generations using REML/BLUP in combination with multivariate techniques for the selection of superior genotypes. The experiment consisted of eleven wheat (Triticum aestivum L.) genotypes. The experimental design was randomized blocks, with three replications. Plant height, spike insertion height, number of tillers, number of spikelets, kernel width, hectoliter weight and kernel weight per plant were determined. The genetic parameters were estimated using the REML/BLUP methodology, and the FAI-BLUP index was calculated using predicted genetic values. The genotypes UFSMFW 1-02, UFSMFW 1-05 and UFSMFW 1-04 show potential to increase the grain yield. The selection gains for number of tillers (14.63 %) and kernel weight per plant (22.35 %) indicate the potential to select superior genotypes. KEYWORDS: Triticum aestivum L., plant breeding, mixed models.Modelos mistos e análises multivariadas são ferramentas poderosas para selecionar genótipos superiores em programas de melhoramento de plantas. O método BLUP (best linear unbiased prediction) tem sido usado para predizer valores genéticos, eliminando efeitos ambientais. Além disso, o método FAI-BLUP (ideotype-design index) é importante para o melhoramento genético de plantas, devido à seleção de múltiplas características. Objetivou-se determinar o potencial genético de gerações avançadas de trigo, utilizando-se REML/BLUP em combinação com técnicas multivariadas, para a seleção de genótipos superiores. O experimento foi constituído de onze genótipos de trigo (Triticum aestivum L.). O delineamento experimental foi o de blocos casualizados, com três repetições. Foram avaliadas as variáveis altura da planta, altura de inserção da espiga, número de afilhos, número de espiguetas, largura do grão, peso hectolitro e peso de grãos por planta. Os parâmetros genéticos foram estimados utilizando-se a metodologia REML/BLUP, e o índice FAI-BLUP foi calculado por meio dos valores genéticos preditos. Os genótipos UFSMFW 1-02, UFSMFW 1-05 e UFSMFW 1-04 apresentam potencial de incremento para produtividade de grãos. Os ganhos de seleção para número de afilhos (14,63 %) e massa de grãos por planta (22,35 %) são potencias para a seleção de genótipos superiores. PALAVRAS-CHAVE: Triticum aestivum L.; melhoramento de plantas, modelos mistos.Escola de Agronomia - Universidade Federal de Goiás2021-07-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttps://revistas.ufg.br/pat/article/view/67996Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; Vol. 51 (2021); e67996Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); Vol. 51 (2021); e67996Pesquisa Agropecuária Tropical; v. 51 (2021); e679961983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/67996/36876Copyright (c) 2021 Pesquisa Agropecuária Tropicalinfo:eu-repo/semantics/openAccessMeier, CarineMarchioro, Volmir SergioMeira, DanielaOlivoto, TiagoKlein, Luís Antônio2021-07-16T12:38:28Zoai:ojs.revistas.ufg.br:article/67996Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:56:32.264649Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv Genetic parameters and multiple-trait selection in wheat genotypes
Parâmetros genéticos e seleção de múltiplas características em genótipos de trigo
title Genetic parameters and multiple-trait selection in wheat genotypes
spellingShingle Genetic parameters and multiple-trait selection in wheat genotypes
Meier, Carine
title_short Genetic parameters and multiple-trait selection in wheat genotypes
title_full Genetic parameters and multiple-trait selection in wheat genotypes
title_fullStr Genetic parameters and multiple-trait selection in wheat genotypes
title_full_unstemmed Genetic parameters and multiple-trait selection in wheat genotypes
title_sort Genetic parameters and multiple-trait selection in wheat genotypes
author Meier, Carine
author_facet Meier, Carine
Marchioro, Volmir Sergio
Meira, Daniela
Olivoto, Tiago
Klein, Luís Antônio
author_role author
author2 Marchioro, Volmir Sergio
Meira, Daniela
Olivoto, Tiago
Klein, Luís Antônio
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Meier, Carine
Marchioro, Volmir Sergio
Meira, Daniela
Olivoto, Tiago
Klein, Luís Antônio
description Mixed models and multivariate analysis are powerful tools for selecting superior genotypes in plant breeding programs. The BLUP (best linear unbiased prediction) method has been used to predict genetic values without environmental effects. Furthermore, the FAI-BLUP (ideotype-design index) procedure is especially valuable for plant breeding because of multiple-trait selection. This study aimed to determine the genetic potential of advanced wheat generations using REML/BLUP in combination with multivariate techniques for the selection of superior genotypes. The experiment consisted of eleven wheat (Triticum aestivum L.) genotypes. The experimental design was randomized blocks, with three replications. Plant height, spike insertion height, number of tillers, number of spikelets, kernel width, hectoliter weight and kernel weight per plant were determined. The genetic parameters were estimated using the REML/BLUP methodology, and the FAI-BLUP index was calculated using predicted genetic values. The genotypes UFSMFW 1-02, UFSMFW 1-05 and UFSMFW 1-04 show potential to increase the grain yield. The selection gains for number of tillers (14.63 %) and kernel weight per plant (22.35 %) indicate the potential to select superior genotypes. KEYWORDS: Triticum aestivum L., plant breeding, mixed models.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/pat/article/view/67996
url https://revistas.ufg.br/pat/article/view/67996
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/67996/36876
dc.rights.driver.fl_str_mv Copyright (c) 2021 Pesquisa Agropecuária Tropical
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Pesquisa Agropecuária Tropical
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; Vol. 51 (2021); e67996
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); Vol. 51 (2021); e67996
Pesquisa Agropecuária Tropical; v. 51 (2021); e67996
1983-4063
reponame:Pesquisa Agropecuária Tropical (Online)
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
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