Genetic parameters and selection for multiple traits in sorghum for forage purposes.

Detalhes bibliográficos
Autor(a) principal: FIGUEIREDO JÚNIOR, J. M. M. de
Data de Publicação: 2024
Outros Autores: PARRELLA, R. A. da C., NUNES, J. A. R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165123
http://dx.doi.org/10.1590/1984-70332024v24n2a22
Resumo: We aimed to estimate genetic parameters and select sorghum lines for forage purposes based on agronomic and chemical traits. A total of 100 inbred lines, comprising the biomass/bmr, biomass, dual purpose (sweet/forage), and forage types, were evaluated in the 2020/2021 and 2021/2022 crop years. We analyzed the data using a linear mixed model approach. Genetic variance, line mean-based heritability, selection accuracy, genetic correlation between traits and crops and the coefficient of experimental variation were estimated. The breeding values of the lines were predicted, and the factor analysis and genotype-ideotype distance index based on BLUP (FAI-BLUP) were applied for multi-trait selection. Biomass production and cell wall composition traits were measured. There was genetic variation among the lines, with moderate to high heritability. The lines selected by the FAI-BLUP index resulted in significant genetic gains expected with selection for all traits.
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spelling Genetic parameters and selection for multiple traits in sorghum for forage purposes.Brown midribVariance componentsSelection gainGanho de seleçãoNervura central marromComponentes de variânciaResposta correlacionadaSorgoSorghum BicolorCorrelated responsesWe aimed to estimate genetic parameters and select sorghum lines for forage purposes based on agronomic and chemical traits. A total of 100 inbred lines, comprising the biomass/bmr, biomass, dual purpose (sweet/forage), and forage types, were evaluated in the 2020/2021 and 2021/2022 crop years. We analyzed the data using a linear mixed model approach. Genetic variance, line mean-based heritability, selection accuracy, genetic correlation between traits and crops and the coefficient of experimental variation were estimated. The breeding values of the lines were predicted, and the factor analysis and genotype-ideotype distance index based on BLUP (FAI-BLUP) were applied for multi-trait selection. Biomass production and cell wall composition traits were measured. There was genetic variation among the lines, with moderate to high heritability. The lines selected by the FAI-BLUP index resulted in significant genetic gains expected with selection for all traits.JOSÉ MAURÍLIO MOREIRA DE FIGUEIREDO JÚNIOR, UNIVERSIDADE FEDERAL DE LAVRAS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; JOSE AIRTON RODRIGUES NUNES, UNIVERSIDADE FEDERAL DE LAVRAS.FIGUEIREDO JÚNIOR, J. M. M. dePARRELLA, R. A. da C.NUNES, J. A. R.2024-06-26T12:06:01Z2024-06-26T12:06:01Z2024-06-262024info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCrop Breeding and Applied Biotechnology, v. 24, n. 2, e48122429, 2024.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165123http://dx.doi.org/10.1590/1984-70332024v24n2a22enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2024-06-26T12:06:01Zoai:www.alice.cnptia.embrapa.br:doc/1165123Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542024-06-26T12:06:01Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Genetic parameters and selection for multiple traits in sorghum for forage purposes.
title Genetic parameters and selection for multiple traits in sorghum for forage purposes.
spellingShingle Genetic parameters and selection for multiple traits in sorghum for forage purposes.
FIGUEIREDO JÚNIOR, J. M. M. de
Brown midrib
Variance components
Selection gain
Ganho de seleção
Nervura central marrom
Componentes de variância
Resposta correlacionada
Sorgo
Sorghum Bicolor
Correlated responses
title_short Genetic parameters and selection for multiple traits in sorghum for forage purposes.
title_full Genetic parameters and selection for multiple traits in sorghum for forage purposes.
title_fullStr Genetic parameters and selection for multiple traits in sorghum for forage purposes.
title_full_unstemmed Genetic parameters and selection for multiple traits in sorghum for forage purposes.
title_sort Genetic parameters and selection for multiple traits in sorghum for forage purposes.
author FIGUEIREDO JÚNIOR, J. M. M. de
author_facet FIGUEIREDO JÚNIOR, J. M. M. de
PARRELLA, R. A. da C.
NUNES, J. A. R.
author_role author
author2 PARRELLA, R. A. da C.
NUNES, J. A. R.
author2_role author
author
dc.contributor.none.fl_str_mv JOSÉ MAURÍLIO MOREIRA DE FIGUEIREDO JÚNIOR, UNIVERSIDADE FEDERAL DE LAVRAS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; JOSE AIRTON RODRIGUES NUNES, UNIVERSIDADE FEDERAL DE LAVRAS.
dc.contributor.author.fl_str_mv FIGUEIREDO JÚNIOR, J. M. M. de
PARRELLA, R. A. da C.
NUNES, J. A. R.
dc.subject.por.fl_str_mv Brown midrib
Variance components
Selection gain
Ganho de seleção
Nervura central marrom
Componentes de variância
Resposta correlacionada
Sorgo
Sorghum Bicolor
Correlated responses
topic Brown midrib
Variance components
Selection gain
Ganho de seleção
Nervura central marrom
Componentes de variância
Resposta correlacionada
Sorgo
Sorghum Bicolor
Correlated responses
description We aimed to estimate genetic parameters and select sorghum lines for forage purposes based on agronomic and chemical traits. A total of 100 inbred lines, comprising the biomass/bmr, biomass, dual purpose (sweet/forage), and forage types, were evaluated in the 2020/2021 and 2021/2022 crop years. We analyzed the data using a linear mixed model approach. Genetic variance, line mean-based heritability, selection accuracy, genetic correlation between traits and crops and the coefficient of experimental variation were estimated. The breeding values of the lines were predicted, and the factor analysis and genotype-ideotype distance index based on BLUP (FAI-BLUP) were applied for multi-trait selection. Biomass production and cell wall composition traits were measured. There was genetic variation among the lines, with moderate to high heritability. The lines selected by the FAI-BLUP index resulted in significant genetic gains expected with selection for all traits.
publishDate 2024
dc.date.none.fl_str_mv 2024-06-26T12:06:01Z
2024-06-26T12:06:01Z
2024-06-26
2024
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Crop Breeding and Applied Biotechnology, v. 24, n. 2, e48122429, 2024.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165123
http://dx.doi.org/10.1590/1984-70332024v24n2a22
identifier_str_mv Crop Breeding and Applied Biotechnology, v. 24, n. 2, e48122429, 2024.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1165123
http://dx.doi.org/10.1590/1984-70332024v24n2a22
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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