Genetic evaluation and selection in Jatropha curcas L.

Detalhes bibliográficos
Autor(a) principal: Cardoso,Poliane Marcele Ribeiro
Data de Publicação: 2018
Outros Autores: Dias,Luiz Antônio dos Santos, Resende,Marcos Deon Vilela de, Freitas,Ricardo Galvão de, Corrêa,Thais Roseli, Muniz,Dandara Rêgo, Zaidan,Iasmine Ramos
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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spelling 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
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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
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