Strategies for Multi-trait Selection of Sweet Sorghum Progenies
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Crop Breeding and Applied Biotechnology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000400206 |
Resumo: | Abstract The selection of sweet sorghum genotypes is based on multiple agronomical and technological traits. The objectives of this study were to evaluate the effectiveness of inter-trait recovery information in improving the selective accuracy of the predicted genetic values of sweet sorghum progenies, and to compare several selection indices in terms of selection gains using single- and multi-trait mixed models. The trials were conducted in two sites. The traits flowering time, plant height, green mass production, total soluble solids content, and tons of Brix per hectare were assessed. Significant genetic variance was observed for all traits, except for total soluble solids content. The multi-trait analysis provided more accurate estimates of genetic parameters and predictions of the progeny genetic values, and higher selection gain than the single-trait analysis. The direct selection for TBH and the FAI/BLUP index resulted in balanced genetic gains for the assessed traits. |
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Crop Breeding and Applied Biotechnology |
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Strategies for Multi-trait Selection of Sweet Sorghum ProgeniesSorghum bicolorselection indexgenetic correlationBLUPREMLAbstract The selection of sweet sorghum genotypes is based on multiple agronomical and technological traits. The objectives of this study were to evaluate the effectiveness of inter-trait recovery information in improving the selective accuracy of the predicted genetic values of sweet sorghum progenies, and to compare several selection indices in terms of selection gains using single- and multi-trait mixed models. The trials were conducted in two sites. The traits flowering time, plant height, green mass production, total soluble solids content, and tons of Brix per hectare were assessed. Significant genetic variance was observed for all traits, except for total soluble solids content. The multi-trait analysis provided more accurate estimates of genetic parameters and predictions of the progeny genetic values, and higher selection gain than the single-trait analysis. The direct selection for TBH and the FAI/BLUP index resulted in balanced genetic gains for the assessed traits.Crop Breeding and Applied Biotechnology2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000400206Crop Breeding and Applied Biotechnology v.21 n.4 2021reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332021v21n4a59info:eu-repo/semantics/openAccessBotelho,Thiago TavaresLeite,Pakizza Sherma da SilvaParrella,Rafael Augusto da CostaNunes,José Airton Rodrigueseng2022-01-13T00:00:00Zoai:scielo:S1984-70332021000400206Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2022-01-13T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse |
dc.title.none.fl_str_mv |
Strategies for Multi-trait Selection of Sweet Sorghum Progenies |
title |
Strategies for Multi-trait Selection of Sweet Sorghum Progenies |
spellingShingle |
Strategies for Multi-trait Selection of Sweet Sorghum Progenies Botelho,Thiago Tavares Sorghum bicolor selection index genetic correlation BLUP REML |
title_short |
Strategies for Multi-trait Selection of Sweet Sorghum Progenies |
title_full |
Strategies for Multi-trait Selection of Sweet Sorghum Progenies |
title_fullStr |
Strategies for Multi-trait Selection of Sweet Sorghum Progenies |
title_full_unstemmed |
Strategies for Multi-trait Selection of Sweet Sorghum Progenies |
title_sort |
Strategies for Multi-trait Selection of Sweet Sorghum Progenies |
author |
Botelho,Thiago Tavares |
author_facet |
Botelho,Thiago Tavares Leite,Pakizza Sherma da Silva Parrella,Rafael Augusto da Costa Nunes,José Airton Rodrigues |
author_role |
author |
author2 |
Leite,Pakizza Sherma da Silva Parrella,Rafael Augusto da Costa Nunes,José Airton Rodrigues |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Botelho,Thiago Tavares Leite,Pakizza Sherma da Silva Parrella,Rafael Augusto da Costa Nunes,José Airton Rodrigues |
dc.subject.por.fl_str_mv |
Sorghum bicolor selection index genetic correlation BLUP REML |
topic |
Sorghum bicolor selection index genetic correlation BLUP REML |
description |
Abstract The selection of sweet sorghum genotypes is based on multiple agronomical and technological traits. The objectives of this study were to evaluate the effectiveness of inter-trait recovery information in improving the selective accuracy of the predicted genetic values of sweet sorghum progenies, and to compare several selection indices in terms of selection gains using single- and multi-trait mixed models. The trials were conducted in two sites. The traits flowering time, plant height, green mass production, total soluble solids content, and tons of Brix per hectare were assessed. Significant genetic variance was observed for all traits, except for total soluble solids content. The multi-trait analysis provided more accurate estimates of genetic parameters and predictions of the progeny genetic values, and higher selection gain than the single-trait analysis. The direct selection for TBH and the FAI/BLUP index resulted in balanced genetic gains for the assessed traits. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000400206 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000400206 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1984-70332021v21n4a59 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Crop Breeding and Applied Biotechnology |
publisher.none.fl_str_mv |
Crop Breeding and Applied Biotechnology |
dc.source.none.fl_str_mv |
Crop Breeding and Applied Biotechnology v.21 n.4 2021 reponame:Crop Breeding and Applied Biotechnology instname:Sociedade Brasileira de Melhoramento de Plantas instacron:CBAB |
instname_str |
Sociedade Brasileira de Melhoramento de Plantas |
instacron_str |
CBAB |
institution |
CBAB |
reponame_str |
Crop Breeding and Applied Biotechnology |
collection |
Crop Breeding and Applied Biotechnology |
repository.name.fl_str_mv |
Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas |
repository.mail.fl_str_mv |
cbabjournal@gmail.com||cbab@ufv.br |
_version_ |
1754209188437819392 |