Selection of superior sweet potato genotypes for human consumption via mixed models

Detalhes bibliográficos
Autor(a) principal: Costa,Ariana Lemes da
Data de Publicação: 2022
Outros Autores: Andrade Júnior,Valter Carvalho de, Gama,André Boscolo Nogueira da, Silva,Eduardo Alves da, Brito,Orlando Gonçalves, Silva,Jeferson Carlos de Oliveira, Bueno Filho,Júlio Sílvio de Sousa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052022000100238
Resumo: ABSTRACT The growing consumer demand for sweet potato roots results in the need for genotypes with higher yields and better root quality. Thus, the objective of this study was to agronomically evaluate sweet potato genotypes via mixed models to select superior genotypes for human consumption and predict their selection gains. The study had a partially balanced triple lattice design with three replicates. As treatments, 92 sweet potato genotypes from the Universidade Federal de Lavras germplasm bank selected in the first selection cycle were evaluated along with eight controls, namely, Brazlândia Roxa, Princesa, Uruguaiana, BRS Amélia, Beauregard, UFVJM-57, UFVJM-58, and UFVJM-61. The treatments were ranked by the mixed linear model via restricted maximum likelihood (REML) and best linear unbiased prediction (BLUP). We highlighted the 15 best genotypes for each agronomic trait, then identified the best ones overall considering all quantitative and qualitative traits. High heritability was found for the trait commercial root yield (56.31%). For all traits, there were selection gains relative to the population mean. The use of mixed models was efficient for the selection of superior sweet potato genotypes. The genotypes 2018-19-464, 2018-72-1409, 2018-72-1428, 2018-19-443, 2018-36-807, 2018-72-1418, 2018-19-455, 2018-72-1376, 2018-54-1137, 2018-54-1114, 2018-65-1249, and 2018-28-556 have good traits related to commercial root yield and root quality and may be recommended for human consumption.
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spelling Selection of superior sweet potato genotypes for human consumption via mixed modelsIpomoea batatas L.qualityREML/BLUProotsyieldABSTRACT The growing consumer demand for sweet potato roots results in the need for genotypes with higher yields and better root quality. Thus, the objective of this study was to agronomically evaluate sweet potato genotypes via mixed models to select superior genotypes for human consumption and predict their selection gains. The study had a partially balanced triple lattice design with three replicates. As treatments, 92 sweet potato genotypes from the Universidade Federal de Lavras germplasm bank selected in the first selection cycle were evaluated along with eight controls, namely, Brazlândia Roxa, Princesa, Uruguaiana, BRS Amélia, Beauregard, UFVJM-57, UFVJM-58, and UFVJM-61. The treatments were ranked by the mixed linear model via restricted maximum likelihood (REML) and best linear unbiased prediction (BLUP). We highlighted the 15 best genotypes for each agronomic trait, then identified the best ones overall considering all quantitative and qualitative traits. High heritability was found for the trait commercial root yield (56.31%). For all traits, there were selection gains relative to the population mean. The use of mixed models was efficient for the selection of superior sweet potato genotypes. The genotypes 2018-19-464, 2018-72-1409, 2018-72-1428, 2018-19-443, 2018-36-807, 2018-72-1418, 2018-19-455, 2018-72-1376, 2018-54-1137, 2018-54-1114, 2018-65-1249, and 2018-28-556 have good traits related to commercial root yield and root quality and may be recommended for human consumption.Instituto Agronômico de Campinas2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052022000100238Bragantia v.81 2022reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20220075info:eu-repo/semantics/openAccessCosta,Ariana Lemes daAndrade Júnior,Valter Carvalho deGama,André Boscolo Nogueira daSilva,Eduardo Alves daBrito,Orlando GonçalvesSilva,Jeferson Carlos de OliveiraBueno Filho,Júlio Sílvio de Sousaeng2022-10-26T00:00:00Zoai:scielo:S0006-87052022000100238Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2022-10-26T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Selection of superior sweet potato genotypes for human consumption via mixed models
title Selection of superior sweet potato genotypes for human consumption via mixed models
spellingShingle Selection of superior sweet potato genotypes for human consumption via mixed models
Costa,Ariana Lemes da
Ipomoea batatas L.
quality
REML/BLUP
roots
yield
title_short Selection of superior sweet potato genotypes for human consumption via mixed models
title_full Selection of superior sweet potato genotypes for human consumption via mixed models
title_fullStr Selection of superior sweet potato genotypes for human consumption via mixed models
title_full_unstemmed Selection of superior sweet potato genotypes for human consumption via mixed models
title_sort Selection of superior sweet potato genotypes for human consumption via mixed models
author Costa,Ariana Lemes da
author_facet Costa,Ariana Lemes da
Andrade Júnior,Valter Carvalho de
Gama,André Boscolo Nogueira da
Silva,Eduardo Alves da
Brito,Orlando Gonçalves
Silva,Jeferson Carlos de Oliveira
Bueno Filho,Júlio Sílvio de Sousa
author_role author
author2 Andrade Júnior,Valter Carvalho de
Gama,André Boscolo Nogueira da
Silva,Eduardo Alves da
Brito,Orlando Gonçalves
Silva,Jeferson Carlos de Oliveira
Bueno Filho,Júlio Sílvio de Sousa
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Costa,Ariana Lemes da
Andrade Júnior,Valter Carvalho de
Gama,André Boscolo Nogueira da
Silva,Eduardo Alves da
Brito,Orlando Gonçalves
Silva,Jeferson Carlos de Oliveira
Bueno Filho,Júlio Sílvio de Sousa
dc.subject.por.fl_str_mv Ipomoea batatas L.
quality
REML/BLUP
roots
yield
topic Ipomoea batatas L.
quality
REML/BLUP
roots
yield
description ABSTRACT The growing consumer demand for sweet potato roots results in the need for genotypes with higher yields and better root quality. Thus, the objective of this study was to agronomically evaluate sweet potato genotypes via mixed models to select superior genotypes for human consumption and predict their selection gains. The study had a partially balanced triple lattice design with three replicates. As treatments, 92 sweet potato genotypes from the Universidade Federal de Lavras germplasm bank selected in the first selection cycle were evaluated along with eight controls, namely, Brazlândia Roxa, Princesa, Uruguaiana, BRS Amélia, Beauregard, UFVJM-57, UFVJM-58, and UFVJM-61. The treatments were ranked by the mixed linear model via restricted maximum likelihood (REML) and best linear unbiased prediction (BLUP). We highlighted the 15 best genotypes for each agronomic trait, then identified the best ones overall considering all quantitative and qualitative traits. High heritability was found for the trait commercial root yield (56.31%). For all traits, there were selection gains relative to the population mean. The use of mixed models was efficient for the selection of superior sweet potato genotypes. The genotypes 2018-19-464, 2018-72-1409, 2018-72-1428, 2018-19-443, 2018-36-807, 2018-72-1418, 2018-19-455, 2018-72-1376, 2018-54-1137, 2018-54-1114, 2018-65-1249, and 2018-28-556 have good traits related to commercial root yield and root quality and may be recommended for human consumption.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S0006-87052022000100238
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052022000100238
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.20220075
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 Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.81 2022
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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