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Registro Completo |
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Biblioteca(s): |
Embrapa Agroenergia. |
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Data corrente: |
18/11/2020 |
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Data da última atualização: |
18/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RODRIGUES, E. V.; ROCHA, J. R. do A. S. de C.; ALVES, R. S.; TEODORO, P. E.; LAVIOLA, B. G.; RESENDE, M. D. V. de; CARNEIRO, P. C. S.; BHERING, L. L. |
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Afiliação: |
Erina Vitório Rodrigues, Universidade de Brasília; João Romero do Amaral Santos de Carvalho Rocha, Universidade Federal de Viçosa; Rodrigo Silva Alves, Universidade Federal de Viçosa; Paulo Eduardo Teodoro, Universidade Federal de Mato Grossso do Sul; BRUNO GALVEAS LAVIOLA, CNPAE; Marcos Deon Vilela de Resende, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; Leonardo Lopes Bhering, Universidade Federal de Viçosa. |
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Título: |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Bragantia, Campinas, v. 79, n.3, Jul./Sept. 2020. |
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ISSN: |
1678-4499 |
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Idioma: |
Inglês |
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Conteúdo: |
Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding. MenosJatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. cur... Mostrar Tudo |
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Palavras-Chave: |
Genetic diversity; Mixed models. |
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Thesagro: |
Genética Vegetal; Melhoramento Genético Vegetal. |
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Thesaurus Nal: |
Jatropha; Plant breeding; Plant genetics. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/217986/1/Selection-of-Jatropha-genotypes-2020.pdf
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Marc: |
LEADER 02434naa a2200301 a 4500
001 2126809
005 2020-11-18
008 2020 bl uuuu u00u1 u #d
022 $a1678-4499
100 1 $aRODRIGUES, E. V.
245 $aSelection of Jatropha genotypes for bioenergy purpose$ban approach with multitrait, multiharvest and effective population size.$h[electronic resource]
260 $c2020
520 $aJatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding.
650 $aJatropha
650 $aPlant breeding
650 $aPlant genetics
650 $aGenética Vegetal
650 $aMelhoramento Genético Vegetal
653 $aGenetic diversity
653 $aMixed models
700 1 $aROCHA, J. R. do A. S. de C.
700 1 $aALVES, R. S.
700 1 $aTEODORO, P. E.
700 1 $aLAVIOLA, B. G.
700 1 $aRESENDE, M. D. V. de
700 1 $aCARNEIRO, P. C. S.
700 1 $aBHERING, L. L.
773 $tBragantia, Campinas$gv. 79, n.3, Jul./Sept. 2020.
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Registro original: |
Embrapa Agroenergia (CNPAE) |
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| Registros recuperados : 261 | |
| 142. |  | LOPES, P. R. C.; MOREIRA, A. N.; HAJI, F. N. P.; SILVA, A. de S. Produção integrada em manga. In: SEMINÁRIO BRASILEIRO DE PRODUÇÃO INTEGRADA DE FRUTAS, 3., 2001, Bento Gonçalves. Anais... Bento Gonçalves: Embrapa Uva e Vinho, 2001. p. 11-14. (Embrapa Uva e Vinho. Documentos, 32). Editado por George Wellington Bastos de Melo, Sandra de Souza Sebben.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Semiárido. |
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| 144. | | HAJI, F. N. P.; MOREIRA, A. N.; LOPES, P. R. C.; SILVA, A. de S. Produção integrada de uvas finas de mesa. In: SEMINARIO BRASILEIRO DE PRODUCAO INTEGRADA DE FRUTAS, 3., 2001, Bento Goncalves. Anais... Bento Goncalves: Embrapa Uva e Vinho, 2001. p. 30-32. (Embrapa Uva e Vinho. Documentos, 32). Editado por George Wellington Bastos de Melo, Sandra de Souza Sebben.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Semiárido. |
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| 149. | | FAY, E. F.; SILVA, C. M. M. S.; BRITO, L. T. de L.; SILVA, A. de S. Análises físicas, químicas e microbiológicas e qualidade da água. In: SILVA, A. de S.; CEBALLOS, B. S. O. de; SILVA, C. M. M. de S.; FAY, E. F.; BRITO, L. T. de L.; AMORIM, J. S.; SILVA FILHO, P. P. da. Indicador de qualidade de uso de água em cisternas no semi-árido brasileiro (IUA-CD): relatório técnico final. Petrolina: Embrapa Semi-Árido: FINEP: ATECEL: UFCG: UEPB, 2008. cap. 2, p. 9-14.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Semiárido. |
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| 153. | | BRITO, L. T. de L.; PORTO, E. R.; SILVA, A. de S.; GNADLINGER, J.; XENOFONTE, G. H. S. Análise da qualidade das águas de cisternas em cinco municípios do semi-árido brasileiro. In: CONGRESSO BRASILEIRO DE AGROECOLOGIA, 3.; SEMINÁRIO ESTADUAL DE AGROECOLOGIA, 3., 2005, Florianópolis. Anais... Florianópolis: ABA, 2005. 1 CD-ROM.| Tipo: Autoria/Organização/Edição de Livros |
| Biblioteca(s): Embrapa Semiárido. |
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| 154. | | BRITO, L. T. de L.; MELO, R. F. de; ANJOS, J. B. dos; PEREIRA, L. A.; SILVA, A. de S. Barreiro para uso da água em irrigação de salvação. In: XIMENES, L. F.; SILVA, M. S. L. da; BRITO, L. T. de L. (Ed). Tecnologias de convivência com o Semiárido brasileiro. Fortaleza: Banco do Nordeste do Brasil, 2019. cap. 4, p. 301-318.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Semiárido. |
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| Registros recuperados : 261 | |
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