Genetic parameters of soybean populations obtained from crosses between grain and food genotypes
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
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/46968 |
Resumo: | In addition to the agronomic traits of interest, soybean cultivars destined for human consumption must have specific attributes that meet the demands of the consumer market. To meet this demand, this study aimed to select progenies with agronomic and commercial traits of interest from soybean populations obtained from crosses between different food and grain genotypes and to estimate the genetic parameters of these populations. The F3:4 and F4:5 progenies that originated from the two crosses were evaluated in the 2015/16 and 2016/17 agricultural years, respectively, using the pedigree method. The experimental design utilized augmented blocks, while statistical analyses were performed by using the REML/BLUP methodology. The evaluated traits were plant height at maturity (APM), insertion height of first pod (AIV), lodging (AC), agronomic value (VA), number of pods per plant (NV), number of days to maturity (NDM), number of branches (NR), number of nodes (NN), 100-seed weight (PCS), and grain yield per plant (PG). The best progenies were selected, and the following genetic parameters were estimated: genetic variance, phenotypic variance, heritability, and selective accuracy. The estimates of the genetic parameters indicate the presence of high genetic variance in these populations. Heritability was high for most of the traits, indicating good potential for the selection of superior genotypes. |
id |
UEM-5_41e7e70608df432b6e9bd0aef1dfd55f |
---|---|
oai_identifier_str |
oai:periodicos.uem.br/ojs:article/46968 |
network_acronym_str |
UEM-5 |
network_name_str |
Acta Scientiarum. Agronomy (Online) |
repository_id_str |
|
spelling |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypesGlycine max; pedigree method; REML/BLUP; variance components.Melhoramento de PlantasGlycine max; pedigree method; REML/BLUP; variance components. In addition to the agronomic traits of interest, soybean cultivars destined for human consumption must have specific attributes that meet the demands of the consumer market. To meet this demand, this study aimed to select progenies with agronomic and commercial traits of interest from soybean populations obtained from crosses between different food and grain genotypes and to estimate the genetic parameters of these populations. The F3:4 and F4:5 progenies that originated from the two crosses were evaluated in the 2015/16 and 2016/17 agricultural years, respectively, using the pedigree method. The experimental design utilized augmented blocks, while statistical analyses were performed by using the REML/BLUP methodology. The evaluated traits were plant height at maturity (APM), insertion height of first pod (AIV), lodging (AC), agronomic value (VA), number of pods per plant (NV), number of days to maturity (NDM), number of branches (NR), number of nodes (NN), 100-seed weight (PCS), and grain yield per plant (PG). The best progenies were selected, and the following genetic parameters were estimated: genetic variance, phenotypic variance, heritability, and selective accuracy. The estimates of the genetic parameters indicate the presence of high genetic variance in these populations. Heritability was high for most of the traits, indicating good potential for the selection of superior genotypes.Universidade Estadual de Maringá2020-11-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionSeleção de linhagens de soja em campoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4696810.4025/actasciagron.v43i1.46968Acta Scientiarum. Agronomy; Vol 43 (2021): Publicação contínua; e46968Acta Scientiarum. Agronomy; v. 43 (2021): Publicação contínua; e469681807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/46968/751375151065Copyright (c) 2021 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAzevedo, Cleber Vinicius Giaretta Val, Bruno Henrique Pedroso Araújo, Lilian Cristina Andrade de Juhász, Ana Cristina Pinto Di Mauro, Antonio Orlando Uneda-Trevisoli, Sandra Helena2021-07-27T17:52:15Zoai:periodicos.uem.br/ojs:article/46968Revistahttp://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:2021-07-27T17:52:15Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypes |
title |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypes |
spellingShingle |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypes Azevedo, Cleber Vinicius Giaretta Glycine max; pedigree method; REML/BLUP; variance components. Melhoramento de Plantas Glycine max; pedigree method; REML/BLUP; variance components. |
title_short |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypes |
title_full |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypes |
title_fullStr |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypes |
title_full_unstemmed |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypes |
title_sort |
Genetic parameters of soybean populations obtained from crosses between grain and food genotypes |
author |
Azevedo, Cleber Vinicius Giaretta |
author_facet |
Azevedo, Cleber Vinicius Giaretta Val, Bruno Henrique Pedroso Araújo, Lilian Cristina Andrade de Juhász, Ana Cristina Pinto Di Mauro, Antonio Orlando Uneda-Trevisoli, Sandra Helena |
author_role |
author |
author2 |
Val, Bruno Henrique Pedroso Araújo, Lilian Cristina Andrade de Juhász, Ana Cristina Pinto Di Mauro, Antonio Orlando Uneda-Trevisoli, Sandra Helena |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Azevedo, Cleber Vinicius Giaretta Val, Bruno Henrique Pedroso Araújo, Lilian Cristina Andrade de Juhász, Ana Cristina Pinto Di Mauro, Antonio Orlando Uneda-Trevisoli, Sandra Helena |
dc.subject.por.fl_str_mv |
Glycine max; pedigree method; REML/BLUP; variance components. Melhoramento de Plantas Glycine max; pedigree method; REML/BLUP; variance components. |
topic |
Glycine max; pedigree method; REML/BLUP; variance components. Melhoramento de Plantas Glycine max; pedigree method; REML/BLUP; variance components. |
description |
In addition to the agronomic traits of interest, soybean cultivars destined for human consumption must have specific attributes that meet the demands of the consumer market. To meet this demand, this study aimed to select progenies with agronomic and commercial traits of interest from soybean populations obtained from crosses between different food and grain genotypes and to estimate the genetic parameters of these populations. The F3:4 and F4:5 progenies that originated from the two crosses were evaluated in the 2015/16 and 2016/17 agricultural years, respectively, using the pedigree method. The experimental design utilized augmented blocks, while statistical analyses were performed by using the REML/BLUP methodology. The evaluated traits were plant height at maturity (APM), insertion height of first pod (AIV), lodging (AC), agronomic value (VA), number of pods per plant (NV), number of days to maturity (NDM), number of branches (NR), number of nodes (NN), 100-seed weight (PCS), and grain yield per plant (PG). The best progenies were selected, and the following genetic parameters were estimated: genetic variance, phenotypic variance, heritability, and selective accuracy. The estimates of the genetic parameters indicate the presence of high genetic variance in these populations. Heritability was high for most of the traits, indicating good potential for the selection of superior genotypes. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-05 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Seleção de linhagens de soja em campo |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/46968 10.4025/actasciagron.v43i1.46968 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/46968 |
identifier_str_mv |
10.4025/actasciagron.v43i1.46968 |
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/46968/751375151065 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 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 43 (2021): Publicação contínua; e46968 Acta Scientiarum. Agronomy; v. 43 (2021): Publicação contínua; e46968 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_ |
1799305911358980096 |