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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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Esconder MarcMostrar Marc Completo |
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Registro original: |
Embrapa Agroenergia (CNPAE) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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| Registros recuperados : 114 | |
| 101. |  | COSTA, A. F. da; RIBEIRO, L. P.; TEODORO, P. E.; BHERING, L. L.; TARDIN, F. D.; FORNAZIER, M. J.; COSTA, H.; MARTINS, D. dos S.; ZANUNCIO JUNIOR, J. S. Genetic divergence of strawberry cultivars under different managements. Bioscience Journal, Uberlândia, v. 34, n. 1, p. 129-137, Jan./Feb. 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 102. | | BALDONI, A. B.; TEODORO, L. P. R.; TEODORO, P. E.; TONINI, H.; TARDIN, F. D.; BOTIN, A. A.; HOOGERHEIDE, E. S. S.; BOTELHO, S. de C. C.; LULU, J.; FARIAS NETO, A. L. de; AZEVEDO, V. C. R. Genetic diversity of Brazil nut tree (Bertholletia excelsa Bonpl.) in southern Brazilian Amazon. Forest ecology and management, v. 458, 117795, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Milho e Sorgo; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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| 103. | | ALVAREZ, R. de C. F.; TAVEIRA, A. C.; LIMA, S. F. de; TEODORO, L. P. R.; OLIVEIRA, J. T. de; SANTOS, A.; RODRIGUES, E, V.; CECCON, G.; TEODORO, P. E. Genetic diversity of cowpea genotypes grown in the Brazilian Cerrado. HORTSCIENCE, v. 56, n. 1, p. 28?29, jan. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agropecuária Oeste. |
|  |
| 104. | | QUEIROZ, D. R.; FARIAS, F. J. C.; CAVALCANTI, J. J. V.; CARVALHO, L. P. de; NEDER, D. G.; MELO, G. G. de; COSTA, D. S.; FARIAS, F. C.; TEODORO, P. E. Genetic parameters and path analysis of traits of upland cotton for the brazilian Semi-Arid region. Bioscience Journal, v. 35, n. 6, p. 1855-1861, Nov./Dec. 2019 Título em português: Parâmetros genéticos e análise de trilha de caracteres de algodoeiro herbáceo para região do Semi-árido brasileiro.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Algodão. |
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| 105. | | 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. Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size. Bragantia, Campinas, v. 79, n.3, Jul./Sept. 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Agroenergia. |
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| 106. | | ALVES, R. S.; RESENDE, M. D. V. de; ROCHA, J. R. do A. S. de C.; PEIXOTO, M. A.; TEODORO, P. E.; SILVA, F. F. e; BHERING, L. L.; SANTOS, G. A. dos. Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding. Bragantia, v. 79, n. 4, 2020. p. 360-376.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Café. |
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| 107. | | SILVA, K. K. da; MENEZES, C. B. de; TEODORO, P. E.; TEODORO, L. P. R.; SANTOS, C. V. dos; CAMPOS, A. F.; CARVALHO, A. J. de; BARBOSA, E. da S. Multi-environmental evaluation of sorghum hybrids during off-season in Brazil. Pesquisa Agropecuária Brasileira, v. 57, e02628, 2022. Título em português: Avaliação multiambiental de híbridos de sorgo durante a entressafra no Brasil.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Unidades Centrais. |
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| 108. | | ALVES, R. S.; TEODORO, P. E.; PEIXOTO, L. de A.; ROCHA, J. R. do A. S. de C.; SILVA, L. A.; LAVIOLA, B. G.; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy. Industrial Crops & Products, v.130, p. 558-561, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agroenergia; Embrapa Florestas. |
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| 109. | | ALVES, R. S.; ROCHA, J. R. do A. de C.; TEODORO, P. E.; RESENDE, M. D. V. de; HENRIQUES, E. P.; SILVA, L. A.; CARNEIRO, P. C. S.; BHERING, L. L. Multiple-trait BLUP: a suitable strategy for genetic selection of Eucalyptus. Tree Genetics & Genomes, v. 14, n. 5, article 77, Oct. 2018. 8 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas. |
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| 110. | | OLIVEIRA, C. P. M. de; SIMOES, W. L.; CHAVES, A. R. de M.; SILVA, J. S. da; TEODORO, L. P. R.; CAMARGOS, L. S. de; GAVA, R.; SOBRAL, Y. R. A.; TEODORO, P. E. Water strategy improves the inflorescence primordia formation of ’Arra 15’ grapevine in the Brazilian semiarid region. Scientific Reports, v. 14, 6678, 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Semiárido. |
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| 111. | | AZEVEDO, G. B. de; REZENDE, A. V.; AZEVEDO, G. T. de O. S.; MIGUEL, E. P.; AQUINO, F. de G.; BRUZINGA, J. S. C.; OLIVEIRA, L. S. C. de; PEREIRA, R. S.; TEODORO, P. E. Woody biomass accumulation in a Cerrado of Central Brazil monitored for 27 years after the implementation of silvicultural systems. Forest Ecology and Management, n. 455, 2020. 10 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Cerrados. |
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| 112. | | BALDONI, A. B.; BOTIN, A. A.; TARDIN, F. D.; MARQUES, J. A. de B.; OLIVEIRA, F. L. de; SILVA, A. J. R.; SILVA, E. S. da; AWABDI, C. P.; PALUDZYSZYN FILHO, E.; NEVESE, L. G.; PANTALEÃO, A. de A.; TEODORO, L. P. R.; TEODORO, P. E. Early selection strategies in Schizolobium parahyba var. amazonicum (huber ex ducke) barneby. Industrial Crops and Products, v. 152, article 112538, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Florestas; Embrapa Milho e Sorgo. |
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| 113. | | SILVA, K. J. da; TEODORO, P. E.; SILVA, M. J. da; TEODORO, L. P. R.; CARDOSO, M. J.; GODINHO, V. de P. C.; MOTA, J. H.; SIMON, G. A.; TARDIN, F. D.; SILVA, A. R. da; GUEDES, F. L.; MENEZES, C. B. de. Identification of mega-environments for grain sorghum in Brazil using GGE biplot methodology. Agronomy Journal, v. 113, n. 4, p. 3019-3030, Jul./Aug. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Caprinos e Ovinos; Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Rondônia. |
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| 114. | | DAMASCENO, A. S. da S.; BOECHAT, C. L.; SOUZA, H. A. de; CAPRISTO-SILVA, G. F.; MENDES, W. de S.; TEODORO, P. E.; MORAIS, P. G. C.; OLIVEIRA, R. I. de; DELLA-SILVA, J. L.; SOUZA, I. A. M. de; SILVA JUNIOR, C. A. da. Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, v. 29, 100913, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Meio-Norte. |
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| Registros recuperados : 114 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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