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Registro Completo |
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Biblioteca(s): |
Embrapa Agroenergia; Embrapa Agroindústria de Alimentos; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
21/06/2016 |
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Data da última atualização: |
28/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
JUNQUEIRA, V. S.; PEIXOTO, L. de A.; LAVIOLA, B. G.; BHERING, L. L.; MENDONCA, S.; COSTA, T. da S. A.; ANTONIASSI, R. |
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Afiliação: |
VINÍCIOS SILVA JUNQUEIRA, UFV; LEONARDO DE AZEVEDO PEIXOTO, UFV; BRUNO GALVEAS LAVIOLA, CNPAE; LEONARDO LOPES BHERING, UFV; SIMONE MENDONCA, CNPAE; TANIA DA SILVEIRA AGOSTINI COSTA, Cenargen; ROSEMAR ANTONIASSI, CTAA. |
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Título: |
Bayesian multi-trait analysis reveals a useful tool to increase oil concentration and to decrease toxicity in Jatropha curcas L. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Plos One, v. 11, e0157038, 2016. |
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Idioma: |
Inglês |
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Notas: |
DOI: 10.1371/journal.pone.015038 |
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Conteúdo: |
The biggest challenge for jatropha breeding is to identify superior genotypes that present high seed yield and seed oil content with reduced toxicity levels. Therefore, the objective of this study was to estimate genetic parameters for three important traits (weight of 100 seed, oil seed content, and phorbol ester concentration), and to select superior genotypes to be used as progenitors in jatropha breeding. Additionally, the genotypic values and the genetic parameters estimated under the Bayesian multi-trait approach were used to evaluate different selection indices scenarios of 179 half-sib families. Three different scenarios and economic weights were considered. It was possible to simultaneously reduce toxicity and increase seed oil content and weight of 100 seed by using index selection based on genotypic value estimated by the Bayesian multi-trait approach. Indeed, we identified two families that present these characteristics by evaluating genetic diversity using the Ward clustering method, which suggested nine homogenous clusters. Future researches must integrate the Bayesian multi-trait methods with realized relationship matrix, aiming to build accurate selection indices models. |
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Palavras-Chave: |
Características importantes; Concentração de éster; Concentração de forbol; Genótipos superiores; Melhoramento de pinhão manso; Métodos multi-traço Bayesian; Óleo de sementes; Parâmetros genéticos; Peso sementes; Progenitores; Redução de toxidade; Teor de óleo de sementes. |
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Categoria do assunto: |
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X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/180662/1/pone.0157038.pdf
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Marc: |
LEADER 02325naa a2200349 a 4500
001 2058387
005 2023-03-28
008 2016 bl uuuu u00u1 u #d
100 1 $aJUNQUEIRA, V. S.
245 $aBayesian multi-trait analysis reveals a useful tool to increase oil concentration and to decrease toxicity in Jatropha curcas L.$h[electronic resource]
260 $c2016
500 $aDOI: 10.1371/journal.pone.015038
520 $aThe biggest challenge for jatropha breeding is to identify superior genotypes that present high seed yield and seed oil content with reduced toxicity levels. Therefore, the objective of this study was to estimate genetic parameters for three important traits (weight of 100 seed, oil seed content, and phorbol ester concentration), and to select superior genotypes to be used as progenitors in jatropha breeding. Additionally, the genotypic values and the genetic parameters estimated under the Bayesian multi-trait approach were used to evaluate different selection indices scenarios of 179 half-sib families. Three different scenarios and economic weights were considered. It was possible to simultaneously reduce toxicity and increase seed oil content and weight of 100 seed by using index selection based on genotypic value estimated by the Bayesian multi-trait approach. Indeed, we identified two families that present these characteristics by evaluating genetic diversity using the Ward clustering method, which suggested nine homogenous clusters. Future researches must integrate the Bayesian multi-trait methods with realized relationship matrix, aiming to build accurate selection indices models.
653 $aCaracterísticas importantes
653 $aConcentração de éster
653 $aConcentração de forbol
653 $aGenótipos superiores
653 $aMelhoramento de pinhão manso
653 $aMétodos multi-traço Bayesian
653 $aÓleo de sementes
653 $aParâmetros genéticos
653 $aPeso sementes
653 $aProgenitores
653 $aRedução de toxidade
653 $aTeor de óleo de sementes
700 1 $aPEIXOTO, L. de A.
700 1 $aLAVIOLA, B. G.
700 1 $aBHERING, L. L.
700 1 $aMENDONCA, S.
700 1 $aCOSTA, T. da S. A.
700 1 $aANTONIASSI, R.
773 $tPlos One$gv. 11, e0157038, 2016.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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| 1. |  | JUNQUEIRA, V. S.; PEIXOTO, L. de A.; LAVIOLA, B. G.; BHERING, L. L.; MENDONCA, S.; COSTA, T. da S. A.; ANTONIASSI, R. Bayesian multi-trait analysis reveals a useful tool to increase oil concentration and to decrease toxicity in Jatropha curcas L. Plos One, v. 11, e0157038, 2016. DOI: 10.1371/journal.pone.015038| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agroenergia; Embrapa Agroindústria de Alimentos; Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 1 | |
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