Genetic evaluation and selection in Jatropha curcas L.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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=S1984-70332018000200192 |
Resumo: | Abstract J. curcas (physic nut) is one of the most promising oilseeds for biofuel production and the knowledge about genetic parameter estimates is important for its breeding. Here, we evaluated 121 families, from 48 to 60 months of age, aiming genetic evaluation and selection. The trial was set up in an 11 x 11 lattice design, with three replications and 4-plant plot. The traits evaluated were fruit yield (FY), grain (GY) and oil yield (OY), fruit husk percentage (FH) and seed oil content (OC). Individual heritabilities were low (0.19 to 0.23), requiring accurate selection and improvement methods. Moderate repeatabilities were observed for FY (0.54), GY (0.52), OC (0.30) and OY (0.51), indicating that the families evaluated maintained relative superiority over the years. With selection of the 20 best individuals, the predicted genotypic gains (66%) were greater than the additive gains (56%), indicating greater possibilities of success from cultivation of clones. |
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Crop Breeding and Applied Biotechnology |
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Genetic evaluation and selection in Jatropha curcas L.Physic nutbiodieselbiokerosenegenetic parametersgrain yield and componentsvariability.Abstract J. curcas (physic nut) is one of the most promising oilseeds for biofuel production and the knowledge about genetic parameter estimates is important for its breeding. Here, we evaluated 121 families, from 48 to 60 months of age, aiming genetic evaluation and selection. The trial was set up in an 11 x 11 lattice design, with three replications and 4-plant plot. The traits evaluated were fruit yield (FY), grain (GY) and oil yield (OY), fruit husk percentage (FH) and seed oil content (OC). Individual heritabilities were low (0.19 to 0.23), requiring accurate selection and improvement methods. Moderate repeatabilities were observed for FY (0.54), GY (0.52), OC (0.30) and OY (0.51), indicating that the families evaluated maintained relative superiority over the years. With selection of the 20 best individuals, the predicted genotypic gains (66%) were greater than the additive gains (56%), indicating greater possibilities of success from cultivation of clones.Crop Breeding and Applied Biotechnology2018-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332018000200192Crop Breeding and Applied Biotechnology v.18 n.2 2018reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332018v18n2a27info:eu-repo/semantics/openAccessCardoso,Poliane Marcele RibeiroDias,Luiz Antônio dos SantosResende,Marcos Deon Vilela deFreitas,Ricardo Galvão deCorrêa,Thais RoseliMuniz,Dandara RêgoZaidan,Iasmine Ramoseng2018-04-23T00:00:00Zoai:scielo:S1984-70332018000200192Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2018-04-23T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse |
dc.title.none.fl_str_mv |
Genetic evaluation and selection in Jatropha curcas L. |
title |
Genetic evaluation and selection in Jatropha curcas L. |
spellingShingle |
Genetic evaluation and selection in Jatropha curcas L. Cardoso,Poliane Marcele Ribeiro Physic nut biodiesel biokerosene genetic parameters grain yield and components variability. |
title_short |
Genetic evaluation and selection in Jatropha curcas L. |
title_full |
Genetic evaluation and selection in Jatropha curcas L. |
title_fullStr |
Genetic evaluation and selection in Jatropha curcas L. |
title_full_unstemmed |
Genetic evaluation and selection in Jatropha curcas L. |
title_sort |
Genetic evaluation and selection in Jatropha curcas L. |
author |
Cardoso,Poliane Marcele Ribeiro |
author_facet |
Cardoso,Poliane Marcele Ribeiro Dias,Luiz Antônio dos Santos Resende,Marcos Deon Vilela de Freitas,Ricardo Galvão de Corrêa,Thais Roseli Muniz,Dandara Rêgo Zaidan,Iasmine Ramos |
author_role |
author |
author2 |
Dias,Luiz Antônio dos Santos Resende,Marcos Deon Vilela de Freitas,Ricardo Galvão de Corrêa,Thais Roseli Muniz,Dandara Rêgo Zaidan,Iasmine Ramos |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Cardoso,Poliane Marcele Ribeiro Dias,Luiz Antônio dos Santos Resende,Marcos Deon Vilela de Freitas,Ricardo Galvão de Corrêa,Thais Roseli Muniz,Dandara Rêgo Zaidan,Iasmine Ramos |
dc.subject.por.fl_str_mv |
Physic nut biodiesel biokerosene genetic parameters grain yield and components variability. |
topic |
Physic nut biodiesel biokerosene genetic parameters grain yield and components variability. |
description |
Abstract J. curcas (physic nut) is one of the most promising oilseeds for biofuel production and the knowledge about genetic parameter estimates is important for its breeding. Here, we evaluated 121 families, from 48 to 60 months of age, aiming genetic evaluation and selection. The trial was set up in an 11 x 11 lattice design, with three replications and 4-plant plot. The traits evaluated were fruit yield (FY), grain (GY) and oil yield (OY), fruit husk percentage (FH) and seed oil content (OC). Individual heritabilities were low (0.19 to 0.23), requiring accurate selection and improvement methods. Moderate repeatabilities were observed for FY (0.54), GY (0.52), OC (0.30) and OY (0.51), indicating that the families evaluated maintained relative superiority over the years. With selection of the 20 best individuals, the predicted genotypic gains (66%) were greater than the additive gains (56%), indicating greater possibilities of success from cultivation of clones. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04-01 |
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=S1984-70332018000200192 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332018000200192 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1984-70332018v18n2a27 |
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.18 n.2 2018 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_ |
1754209187569598464 |