Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content

Detalhes bibliográficos
Autor(a) principal: Facioli Otoboni, Maria Eduarda [UNESP]
Data de Publicação: 2020
Outros Autores: Santos Ferreira de Oliveira, Darllan Junior Luiz [UNESP], Vargas, Pablo Forlan [UNESP], Pavan, Bruno Ettore [UNESP], Andrade, Maria Isabel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1984-70332020v20n3a42
http://hdl.handle.net/11449/209582
Resumo: Estimating genetic parameters is an essential procedure to define strategies for breeding and selection of higher yielding genotypes. The use of a selection index can assist in decision making by combining the high yield trait with other desirable traits. The objective of this study was to verify the possibility of gains from selection in a sweet potato population to select potentially promising genotypes. The experiment was conducted in a randomized block design, with three plants per plot and two replications, consisting of 255 sweet potato genotypes and a commercial cultivar (256 treatments). The data were analyzed through REML/BLUP. Genetic gains were evaluated using selection indexes based on the rank sun. The plant population tested showed high genetic variability; 81.25% of the traits had genotypic coefficients of variation above 20%, which indicates conditions favorable to selection with considerable genetic advances. CERAT31-01, CERAT21-02, and CERAT51-30 can be recommended as the most promising genotypes.
id UNSP_c0b50ff8577620de22a6ddadea91efd3
oai_identifier_str oai:repositorio.unesp.br:11449/209582
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene contentIpomoea batatagenetic variabilityprovitamin AEstimating genetic parameters is an essential procedure to define strategies for breeding and selection of higher yielding genotypes. The use of a selection index can assist in decision making by combining the high yield trait with other desirable traits. The objective of this study was to verify the possibility of gains from selection in a sweet potato population to select potentially promising genotypes. The experiment was conducted in a randomized block design, with three plants per plot and two replications, consisting of 255 sweet potato genotypes and a commercial cultivar (256 treatments). The data were analyzed through REML/BLUP. Genetic gains were evaluated using selection indexes based on the rank sun. The plant population tested showed high genetic variability; 81.25% of the traits had genotypic coefficients of variation above 20%, which indicates conditions favorable to selection with considerable genetic advances. CERAT31-01, CERAT21-02, and CERAT51-30 can be recommended as the most promising genotypes.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Center for Tropical Roots and Starches (CERAT) of UNESPInternational Potato CenterUniv Estadual Paulista, Dept Fitotecnia Tecnol Alimentos & Socio Econ, Rua Moncao, BR-15385000 Ilha Solteira, SP, BrazilUniv Estadual Paulista, Via Acesso Prof Paulo Donato Castelane Castellane, BR-14884900 Jaboticabal, SP, BrazilUniv Estadual Paulista, Ave Nelson Brihi Badur, BR-11900000 Registro, SP, BrazilInt Potato Ctr, Ave FPLM, Maputo, MozambiqueUniv Estadual Paulista, Dept Fitotecnia Tecnol Alimentos & Socio Econ, Rua Moncao, BR-15385000 Ilha Solteira, SP, BrazilUniv Estadual Paulista, Via Acesso Prof Paulo Donato Castelane Castellane, BR-14884900 Jaboticabal, SP, BrazilUniv Estadual Paulista, Ave Nelson Brihi Badur, BR-11900000 Registro, SP, BrazilFAPESP: 2017/08032-0Brazilian Soc Plant BreedingUniversidade Estadual Paulista (Unesp)Int Potato CtrFacioli Otoboni, Maria Eduarda [UNESP]Santos Ferreira de Oliveira, Darllan Junior Luiz [UNESP]Vargas, Pablo Forlan [UNESP]Pavan, Bruno Ettore [UNESP]Andrade, Maria Isabel2021-06-25T12:23:03Z2021-06-25T12:23:03Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9application/pdfhttp://dx.doi.org/10.1590/1984-70332020v20n3a42Crop Breeding And Applied Biotechnology. Vicosa-mg: Brazilian Soc Plant Breeding, v. 20, n. 3, 9 p., 2020.1984-7033http://hdl.handle.net/11449/20958210.1590/1984-70332020v20n3a42S1984-70332020000300201WOS:000581721600010S1984-70332020000300201.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCrop Breeding And Applied Biotechnologyinfo:eu-repo/semantics/openAccess2024-07-05T19:08:32Zoai:repositorio.unesp.br:11449/209582Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:10:17.203026Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
title Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
spellingShingle Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
Facioli Otoboni, Maria Eduarda [UNESP]
Ipomoea batata
genetic variability
provitamin A
title_short Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
title_full Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
title_fullStr Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
title_full_unstemmed Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
title_sort Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
author Facioli Otoboni, Maria Eduarda [UNESP]
author_facet Facioli Otoboni, Maria Eduarda [UNESP]
Santos Ferreira de Oliveira, Darllan Junior Luiz [UNESP]
Vargas, Pablo Forlan [UNESP]
Pavan, Bruno Ettore [UNESP]
Andrade, Maria Isabel
author_role author
author2 Santos Ferreira de Oliveira, Darllan Junior Luiz [UNESP]
Vargas, Pablo Forlan [UNESP]
Pavan, Bruno Ettore [UNESP]
Andrade, Maria Isabel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Int Potato Ctr
dc.contributor.author.fl_str_mv Facioli Otoboni, Maria Eduarda [UNESP]
Santos Ferreira de Oliveira, Darllan Junior Luiz [UNESP]
Vargas, Pablo Forlan [UNESP]
Pavan, Bruno Ettore [UNESP]
Andrade, Maria Isabel
dc.subject.por.fl_str_mv Ipomoea batata
genetic variability
provitamin A
topic Ipomoea batata
genetic variability
provitamin A
description Estimating genetic parameters is an essential procedure to define strategies for breeding and selection of higher yielding genotypes. The use of a selection index can assist in decision making by combining the high yield trait with other desirable traits. The objective of this study was to verify the possibility of gains from selection in a sweet potato population to select potentially promising genotypes. The experiment was conducted in a randomized block design, with three plants per plot and two replications, consisting of 255 sweet potato genotypes and a commercial cultivar (256 treatments). The data were analyzed through REML/BLUP. Genetic gains were evaluated using selection indexes based on the rank sun. The plant population tested showed high genetic variability; 81.25% of the traits had genotypic coefficients of variation above 20%, which indicates conditions favorable to selection with considerable genetic advances. CERAT31-01, CERAT21-02, and CERAT51-30 can be recommended as the most promising genotypes.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2021-06-25T12:23:03Z
2021-06-25T12:23:03Z
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 http://dx.doi.org/10.1590/1984-70332020v20n3a42
Crop Breeding And Applied Biotechnology. Vicosa-mg: Brazilian Soc Plant Breeding, v. 20, n. 3, 9 p., 2020.
1984-7033
http://hdl.handle.net/11449/209582
10.1590/1984-70332020v20n3a42
S1984-70332020000300201
WOS:000581721600010
S1984-70332020000300201.pdf
url http://dx.doi.org/10.1590/1984-70332020v20n3a42
http://hdl.handle.net/11449/209582
identifier_str_mv Crop Breeding And Applied Biotechnology. Vicosa-mg: Brazilian Soc Plant Breeding, v. 20, n. 3, 9 p., 2020.
1984-7033
10.1590/1984-70332020v20n3a42
S1984-70332020000300201
WOS:000581721600010
S1984-70332020000300201.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Crop Breeding And Applied Biotechnology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 9
application/pdf
dc.publisher.none.fl_str_mv Brazilian Soc Plant Breeding
publisher.none.fl_str_mv Brazilian Soc Plant Breeding
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128904380022784