Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene content
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
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=S1984-70332020000300201 |
Resumo: | Abstract 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 |
CBAB-1_b561d01b2ef66c5769a6cf5ab921b8f9 |
---|---|
oai_identifier_str |
oai:scielo:S1984-70332020000300201 |
network_acronym_str |
CBAB-1 |
network_name_str |
Crop Breeding and Applied Biotechnology |
repository_id_str |
|
spelling |
Genetic parameters and gain from selection in sweet potato genotypes with high beta-carotene contentIpomoea batatagenetic variabilityprovitamin AAbstract 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.Crop Breeding and Applied Biotechnology2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332020000300201Crop Breeding and Applied Biotechnology v.20 n.3 2020reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332020v20n3a42info:eu-repo/semantics/openAccessOtoboni,Maria Eduarda FacioliOliveira,Darllan Junior Luiz Santos Ferreira deVargas,Pablo ForlanPavan,Bruno EttoreAndrade,Maria Isabeleng2020-10-13T00:00:00Zoai:scielo:S1984-70332020000300201Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2020-10-13T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse |
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 Otoboni,Maria Eduarda Facioli 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 |
Otoboni,Maria Eduarda Facioli |
author_facet |
Otoboni,Maria Eduarda Facioli Oliveira,Darllan Junior Luiz Santos Ferreira de Vargas,Pablo Forlan Pavan,Bruno Ettore Andrade,Maria Isabel |
author_role |
author |
author2 |
Oliveira,Darllan Junior Luiz Santos Ferreira de Vargas,Pablo Forlan Pavan,Bruno Ettore Andrade,Maria Isabel |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Otoboni,Maria Eduarda Facioli Oliveira,Darllan Junior Luiz Santos Ferreira de Vargas,Pablo Forlan Pavan,Bruno Ettore Andrade,Maria Isabel |
dc.subject.por.fl_str_mv |
Ipomoea batata genetic variability provitamin A |
topic |
Ipomoea batata genetic variability provitamin A |
description |
Abstract 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 |
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=S1984-70332020000300201 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332020000300201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1984-70332020v20n3a42 |
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.20 n.3 2020 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_ |
1754209188079206400 |