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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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Biblioteca |
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Tipo/Formato |
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| Registros recuperados : 86 | |
| 81. |  | SILVA, L. C.; VALDISSER, P. A. M. R.; CRUZ, C. D.; CARNEIRO, J. E. de S.; CARNEIRO, P. C. S.; FONSECA, C. E. L. da; GONÇALVES, B. F. de S.; BARROS, E. G.; PASTOR-CORRALES, M. A.; SONG, Q.; GREGAN, P. B.; VIANELLO, R. P.; SOUZA, T. L. P. O. de. Mapa genético para o feijoeiro-comum usando marcadores SNP e a população de RILs Rudá X AND 277. CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: UFG: SBMP, 2015.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 82. | | CARNEIRO, J. E. S.; SILVA, L. C. da; PAULA JÚNIOR, T. J. de; ARAÚJO, G. A. A.; CARNEIRO, P. C. S.; GIÚDICE, M. P. del; MENEZES JÚNIOR, J. Â. N.; RAMALHO, M. A. P.; DEL PELOSO, M. J.; ABREU, A. de F. B.; MOREIRA, M. A.; BARROS, E. G. de. 'Ouro Vermelho' : new red bean cultivar for Minas Gerais, Brazil. Annual Report of the Bean Improvement Cooperative, v. 49, p. 281-282, Mar. 2006.| Tipo: Artigo em Periódico Indexado |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 83. | | ROCHA, J. R. do A. S. de C.; MARÇAL, T. de S.; SALVADOR, F. V.; SILVA, A. C. da; CARNEIRO, P. C. S.; RESENDE, M. D. V. de; CARNEIRO, J. da C.; AZEVEDO, A. L. S.; PEREIRA, J. F.; MACHADO, J. C. Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus). BMC Plant Biology, v. 19, article 548, 2019. 12 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas; Embrapa Gado de Leite. |
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| 84. | | CARNEIRO, J. E. de S.; ABREU, A. de F. B.; RAMALHO, M. A. P.; PAULA JÚNIOR, T. J. de; DEL PELOSO, M. J.; MELO, L. C.; PEREIRA, H. S.; PEREIRA FILHO, I. A.; MARTINS, M.; VIEIRA, R. F.; MARTINS, F. A. D.; COELHO, M. A. de O.; CARNEIRO, P. C. S. de; MOREIRA, J. A. A.; SANTOS, J. B. dos; FARIA, L. C. de; COSTA, J. G. C. da; TEIXEIRA, H. BRSMG Madrepérola: common bean cultivar with late-darkening Carioca grain. Crop Breeding and Applied Biotechnology, v. 12, n. 4, p. 281-284, 2012.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Milho e Sorgo. |
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| 85. | | ABREU, A. de F. B.; CARNEIRO, J. E. de S.; RAMALHO, M. A. P.; MELO, L. C.; PAULA JÚNIOR, T. J. de; PEREIRA FILHO, I. A.; MARTINS, M.; PEREIRA, H. S.; CARNEIRO, P. C. S.; DEL GIÚDICE, M. P.; VIEIRA, R. F.; TEIXEIRA, H.; DEL PELOSO, M. J.; FARIA, L. C. de; SANTOS, J. B. dos; COSTA, J. G. C. da; MOREIRA, J. A. A.; WENDLAND, A. BRSMG Madrepérola: cultivar de feijão tipo carioca com escurecimento tardio dos grãos. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2011. 4 p. (Embrapa Arroz e Feijão. Comunicado técnico, 200).| Tipo: Comunicado Técnico/Recomendações Técnicas |
| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Milho e Sorgo. |
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| 86. | | ABREU, A. de F. B.; RAMALHO, M. A. P.; SANTOS, J. B. dos; MELO, L. C.; CARNEIRO, J. E. de S.; PAULA JÚNIOR, T. J.; PEREIRA FILHO, I. A.; MARTINS, M.; PEREIRA, H. S.; DEL GIÚDICE, M. P.; VIEIRA, R. F.; DEL PELOSO, M. J.; FARIA, L. C. de; COSTA, J. G. C. da; MOREIRA, J. A. A.; WENDLAND, A.; TEIXEIRA, H.; CARNEIRO, P. C. S. BRSMG União: cultivar de feijão comum de grãos tipo jalo para o Estado de Minas Gerais. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2011. 4 p. (Embrapa Arroz e Feijão. Comunicado técnico, 199).| Tipo: Comunicado Técnico/Recomendações Técnicas |
| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Milho e Sorgo. |
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| Registros recuperados : 86 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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