Selection for grain size and sieve yield in F3 common bean genotypes using linear mixed models
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
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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Acta Scientiarum. Agronomy (Online) |
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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 |
_version_ |
1799305911785750528 |