Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models

Detalhes bibliográficos
Autor(a) principal: Amaral, Erisson Lubacheski do
Data de Publicação: 2021
Outros Autores: Woyann, Leomar Guilherme, Baretta, Douglas Rodrigo, Gobatto, Débora Regiane, Paula, Giovanni Silva de, Kafer, João Matheus, Amaral, José Eduardo Lubacheski do, Finatto, Taciane
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/52953
Resumo: Grain size is an essential trait in common bean breeding as it determines the acceptance of a new cultivar by producers, consumers, and the industry. The objectives of this study were to identify the ideal traits for selecting common bean lines in the F3 generation to obtain an adequate sieve yield and to identify the best lines for sieve yield by applying early generation selection. Two trials were conducted in two locations during the 2016/2017 crop season. These trials were composed of 300 F3 populations and two parents (used as checks). The experimental design used was an augmented block design without repetition for the treatments (lineages). After harvest, the grain yield, yield components, and sieve yield (SY) were evaluated. In conclusion, selection in the F3 generation can be performed for sieve yield, considering the traits SY12+13, SY14, and relative grain yield, as they present the highest values of heritability and greatest correlation between genotype and performance in the evaluated environments. Additionally, the lines selected to continue in the breeding program are composed of the 15 best lineages for traits SY12+13, SY14, and relative grain yield. Preference should be given to lines that excel in more than one of these traits.
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spelling Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed modelsSelection for grain size and sieve yield in F3 common bean genotypes using linear mixed modelsPhaseolus vulgaris L.; early generation selection; relative grain yield; genotype × environment interaction.Phaseolus vulgaris L.; early generation selection; relative grain yield; genotype × environment interaction.Grain size is an essential trait in common bean breeding as it determines the acceptance of a new cultivar by producers, consumers, and the industry. The objectives of this study were to identify the ideal traits for selecting common bean lines in the F3 generation to obtain an adequate sieve yield and to identify the best lines for sieve yield by applying early generation selection. Two trials were conducted in two locations during the 2016/2017 crop season. These trials were composed of 300 F3 populations and two parents (used as checks). The experimental design used was an augmented block design without repetition for the treatments (lineages). After harvest, the grain yield, yield components, and sieve yield (SY) were evaluated. In conclusion, selection in the F3 generation can be performed for sieve yield, considering the traits SY12+13, SY14, and relative grain yield, as they present the highest values of heritability and greatest correlation between genotype and performance in the evaluated environments. Additionally, the lines selected to continue in the breeding program are composed of the 15 best lineages for traits SY12+13, SY14, and relative grain yield. Preference should be given to lines that excel in more than one of these traits.Grain size is an essential trait in common bean breeding as it determines the acceptance of a new cultivar by producers, consumers, and the industry. The objectives of this study were to identify the ideal traits for selecting common bean lines in the F3 generation to obtain an adequate sieve yield and to identify the best lines for sieve yield by applying early generation selection. Two trials were conducted in two locations during the 2016/2017 crop season. These trials were composed of 300 F3 populations and two parents (used as checks). The experimental design used was an augmented block design without repetition for the treatments (lineages). After harvest, the grain yield, yield components, and sieve yield (SY) were evaluated. In conclusion, selection in the F3 generation can be performed for sieve yield, considering the traits SY12+13, SY14, and relative grain yield, as they present the highest values of heritability and greatest correlation between genotype and performance in the evaluated environments. Additionally, the lines selected to continue in the breeding program are composed of the 15 best lineages for traits SY12+13, SY14, and relative grain yield. Preference should be given to lines that excel in more than one of these traits.Universidade Estadual de Maringá2021-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5295310.4025/actasciagron.v44i1.52953Acta Scientiarum. Agronomy; Vol 44 (2022): Publicação contínua; e52953Acta Scientiarum. Agronomy; v. 44 (2022): Publicação contínua; e529531807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/52953/751375153358Copyright (c) 2022 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Amaral, Erisson Lubacheski doWoyann, Leomar GuilhermeBaretta, Douglas RodrigoGobatto, Débora RegianePaula, Giovanni Silva deKafer, João Matheus Amaral, José Eduardo Lubacheski doFinatto, Taciane2022-02-16T21:47:02Zoai:periodicos.uem.br/ojs:article/52953Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-02-16T21:47:02Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
title Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
spellingShingle Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
Amaral, Erisson Lubacheski do
Phaseolus vulgaris L.; early generation selection; relative grain yield; genotype × environment interaction.
Phaseolus vulgaris L.; early generation selection; relative grain yield; genotype × environment interaction.
title_short Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
title_full Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
title_fullStr Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
title_full_unstemmed Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
title_sort Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
author Amaral, Erisson Lubacheski do
author_facet Amaral, Erisson Lubacheski do
Woyann, Leomar Guilherme
Baretta, Douglas Rodrigo
Gobatto, Débora Regiane
Paula, Giovanni Silva de
Kafer, João Matheus
Amaral, José Eduardo Lubacheski do
Finatto, Taciane
author_role author
author2 Woyann, Leomar Guilherme
Baretta, Douglas Rodrigo
Gobatto, Débora Regiane
Paula, Giovanni Silva de
Kafer, João Matheus
Amaral, José Eduardo Lubacheski do
Finatto, Taciane
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Amaral, Erisson Lubacheski do
Woyann, Leomar Guilherme
Baretta, Douglas Rodrigo
Gobatto, Débora Regiane
Paula, Giovanni Silva de
Kafer, João Matheus
Amaral, José Eduardo Lubacheski do
Finatto, Taciane
dc.subject.por.fl_str_mv Phaseolus vulgaris L.; early generation selection; relative grain yield; genotype × environment interaction.
Phaseolus vulgaris L.; early generation selection; relative grain yield; genotype × environment interaction.
topic Phaseolus vulgaris L.; early generation selection; relative grain yield; genotype × environment interaction.
Phaseolus vulgaris L.; early generation selection; relative grain yield; genotype × environment interaction.
description Grain size is an essential trait in common bean breeding as it determines the acceptance of a new cultivar by producers, consumers, and the industry. The objectives of this study were to identify the ideal traits for selecting common bean lines in the F3 generation to obtain an adequate sieve yield and to identify the best lines for sieve yield by applying early generation selection. Two trials were conducted in two locations during the 2016/2017 crop season. These trials were composed of 300 F3 populations and two parents (used as checks). The experimental design used was an augmented block design without repetition for the treatments (lineages). After harvest, the grain yield, yield components, and sieve yield (SY) were evaluated. In conclusion, selection in the F3 generation can be performed for sieve yield, considering the traits SY12+13, SY14, and relative grain yield, as they present the highest values of heritability and greatest correlation between genotype and performance in the evaluated environments. Additionally, the lines selected to continue in the breeding program are composed of the 15 best lineages for traits SY12+13, SY14, and relative grain yield. Preference should be given to lines that excel in more than one of these traits.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-21
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 http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/52953
10.4025/actasciagron.v44i1.52953
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/52953
identifier_str_mv 10.4025/actasciagron.v44i1.52953
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/52953/751375153358
dc.rights.driver.fl_str_mv Copyright (c) 2022 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Acta Scientiarum. Agronomy
https://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 Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 44 (2022): Publicação contínua; e52953
Acta Scientiarum. Agronomy; v. 44 (2022): Publicação contínua; e52953
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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