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| Registros recuperados : 12 | |
| 1. |  | SOUSA, L. B.; DAHER, R. F.; MENEZES, B. R. da S.; STIDA, W. F.; TARDIN, F. D.; VIDAL, A. K. F.; GOMES, A. B. S.; PONCIANO, N. J.; SILVA, V. B. da; FREITAS, R. S. Biomass energy production in elephant-grass hybrids. Functional Plant Breeding Journal, v. 1, n. 2, article 4, 2019.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 2. | | DAHER, R. F.; PEREIRA, A. V.; MENEZES, B. R. da S.; CASSARO, S.; NOVO, A. A. C.; FURLANI, E. P.; AMARAL JÚNIOR, A. T.; PEREIRA, M. G.; STIDA, W. F.; VIDAL, A. K. F. Canonical correlations among morpho-agronomic and chemical traits in hybrids between elephant grass and millet. Australian Journal of Crop Science, v. 12, n. 2, p. 210-216, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 3. | | FREITAS, R. S.; BARBÉ, T. da C.; DAHER, R. F.; VIDAL, A. K. F.; STIDA, W. F.; SILVA, V. B. da; MENEZES, B. R. da S.; PEREIRA, A. V. Chemical composition and energy yield of elephant-grass biomass as function of five different production ages. Journal of Agricultural Science (Toronto), v. 10, n. 1, p. 343-353, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 4. | | STIDA, W. F.; ALMEIDA, B. de O.; DAHER, R. F.; MORAES, C. R. de O.; VIDAL, A. K. F.; FREITAS, R. S.; TARDIN, F. D.; MENEZES, B. R. da S.; FURLANI, E. P.; VIVAS, M. Effect of nitrogen and potassium fertilization doses on elephant-grass genotypes for energy purposes. Journal of Agricultural Science, v. 10, n. 10, p. 446-459, 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 5. | | STIDA, W. F.; DAHER, R. F.; VIANA, A. P.; VIDAL, A. K. F.; FREITAS, R. S.; SILVA, V. B. da; PEREIRA, A. V.; CASSARO, S.; MENEZES, B. R. da S.; FURLANI, E. P. Estimation of genetic parameters and selection of elephant-grass ( Pennisetum purpureum Schumach.) for forage production using mixed models. Chilean journal of agricultural research, v. 78, n. 2, p. 198-204, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | FREITAS, R. S.; DAHER, R. F.; VIDAL, A. K. F.; STIDA, W. F.; MENEZES, B. R. da S.; PEREIRA, A. V.; AMORIM NETO, S.; SANTOS, P. R. dos; SILVA, V. B. da; GOTTARDO, R. D. Dry matter yield and nutritional characteristics of elephant-grass genotypes. Journal of Experimental Agriculture International, v. 35, n. 5, p. 1-8, 2019.| Biblioteca(s): Embrapa Gado de Leite. |
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| 7. | | VIDAL, A. K. F.; DAHER, R. F.; FREITAS, R. S.; STIDA, W. F.; TARDIN, F. D.; RODRIGUES, E. V.; SILVA, V. B. da; SANTOS, R. M.; SANTOS, P. R. dos; OLIVEIRA, T. R. A. de. Screening of elephant grass genotypes following some agro-marphological traits related to biomass production in Rio de Janeiro (Brazil). Journal of Experimental Agriculture International, v. 39, n. 6, p. 1-10, 2019. Article nº JEAI.50113.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 8. | | SOUZA, A. G. de; DAHER, R. F.; SANTANA, J. G. S.; AMBROSIO, M.; NASCIMENTO, M. R.; VIDAL, A. K. F.; SOUZA FILHO, B. F. de; MELO, L. C.; GRAVINA, G. de A.; SANTOS, R. M.; LEITE, C. L.; FARIAS, J. E. C.; STIDA, W. F.; ROCHA, R. S. Adaptability and stability of black bean genotypes for Rio de Janeiro, by GGE biplot analysis. Crop Breeding and Applied Biotechnology, v. 23, n. 2, e43972323, 2023.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | VIDAL, A.-K. F.; DAHER, R. F.; FREITAS, R. S.; STIDA, W. S.; LEDO, F. J. da S.; SILVA, V. B. da; ENTRINGER, G. C.; TARDIN, F. D.; GRAVINA, G. de A.; VIVAS, M.; SOUZA, A. G. de; AMBRÓSIO, M.; SANTANA, J.-G. da S.; FARIASA, J. E. C. Growth curve in elephant grass genotypes based on morpho-agronomic traits for energy production. Chilean Journal of Agricultural Research, v. 82, n. 1, p. 78-87, 2022.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Milho e Sorgo. |
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| 10. | | VIDAL, A. K. F.; DAHER, R. F.; ANDRADE, E. K. V. de; FREITAS, R. S.; STIDA, W. F.; AMARAL JÚNIOR, A. T. do; MENEZES, B. R. da S.; PEREIRA, A. V.; SILVA, V. B. da; TARDIN, F. D.; OLIVEIRA, L. J. da S. de. Estimate of genetic diversity in germplasm of elephant grass accessions in Brazil using the Gower algorithm. Genetics and Molecular Research, v. 20, n. 4, gmr18944, 2021.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Milho e Sorgo. |
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| 11. | | VIDAL, A. K. F.; DAHER, R. F.; AMBRÓSIO, M.; SANTANA, J. G. S.; FREITAS, R. S.; GRAVINA, G. de A.; RODRIGUES, E. V.; STIDA, W. F.; SOUZA, A. G. de; LEITE, C. L.; FARIAS, J. E. C.; RANGEL, L. H.; PEREIRA, A. V. Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models. Scientia Agricola, v. 80, e20220103, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | GRAVINA, L. M.; OLIVEIRA, T. R. A. de; DAHER, R. F.; GRAVINA, G. A.; VIDAL, A. K. F.; STIDA, W. F.; CRUZ, D. P.; SANT'ANNA, C. Q. S. S. de; ROCHA, R. S.; PEREIRA, A. V.; OLIVEIRA, G. H. F. de. Multivariate analysis in the selection of elephant grass genotypes for biomass production. Renewable Energy, v. 160, 1265-1268, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 12 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
15/08/2021 |
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Data da última atualização: |
15/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
GRAVINA, L. M.; OLIVEIRA, T. R. A. de; DAHER, R. F.; GRAVINA, G. A.; VIDAL, A. K. F.; STIDA, W. F.; CRUZ, D. P.; SANT'ANNA, C. Q. S. S. de; ROCHA, R. S.; PEREIRA, A. V.; OLIVEIRA, G. H. F. de. |
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Afiliação: |
LILIA M. GRAVINA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; TAMARA REBECCA A. DE OLIVEIRA, Universidade Federal de Sergipe; ROGERIO F. DAHER, Universidade Estadual do Norte Fluminense Darcy Ribeiro; GERALDO A. GRAVINA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ANA KESSIA F. VIDAL, Universidade Estadual do Norte Fluminense Darcy Ribeiro; WANESSA F. STIDA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; DERIVALDO P. CRUZ, Universidade Estadual do Norte Fluminense Darcy Ribeiro; CAMILA Q. S. S. DE SANT'ANNA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; RICHARDSON S. ROCHA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ANTONIO VANDER PEREIRA, CNPGL; GUSTAVO HUGO F. DE OLIVEIRA, Universidade Federal de Sergipe. |
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Título: |
Multivariate analysis in the selection of elephant grass genotypes for biomass production. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Renewable Energy, v. 160, 1265-1268, 2020. |
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DOI: |
https://doi.org/10.1016/j.renene.2020.06.094 |
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Idioma: |
Inglês |
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Conteúdo: |
The elephant grass has proved to be a great option for biomass production because it causes less damage to the environment, yet there is not a lot of information about its use as a renewable energy source. The objective of this study was to use multivariate analysis to check elephant grass genotypes for biomass production. Between 2016 and 2018, comprising four semiannual cutting, 12 entries were evaluated, and the Active Germplasm Bank of Elephant grass of North Fluminense State University Darcy Ribeiro presented better performances for dry matter yield. The experimental design was a randomized complete block design with three replications. ANOVA and biplot graphs were drawn for variables plant height, number of tillers, stem diameter, leaf blade length, leaf blade width, dry weight and percentage of dry matter. The variance analysis showed the existence of genetic variability between elephant grass genotypes and two first principal components, a biplot analysis of the genotype and the characteristics explained 70.07% of the total variation. The dry weight per linear meter and yield per hectare were the variables with greater discriminatory powers, thus being suitable for selecting elephant grass genotypes. The dry matter yield was positively correlated with dry weight and stem diameter. Genotypes 7, 11 and 12 presented the highest overall mean and were also the most stable. |
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Palavras-Chave: |
Biplot. |
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Thesagro: |
Biomassa; Capim Elefante; Genótipo; Pennisetum Purpureum. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
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001 2133575
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008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.renene.2020.06.094$2DOI
100 1 $aGRAVINA, L. M.
245 $aMultivariate analysis in the selection of elephant grass genotypes for biomass production.$h[electronic resource]
260 $c2020
520 $aThe elephant grass has proved to be a great option for biomass production because it causes less damage to the environment, yet there is not a lot of information about its use as a renewable energy source. The objective of this study was to use multivariate analysis to check elephant grass genotypes for biomass production. Between 2016 and 2018, comprising four semiannual cutting, 12 entries were evaluated, and the Active Germplasm Bank of Elephant grass of North Fluminense State University Darcy Ribeiro presented better performances for dry matter yield. The experimental design was a randomized complete block design with three replications. ANOVA and biplot graphs were drawn for variables plant height, number of tillers, stem diameter, leaf blade length, leaf blade width, dry weight and percentage of dry matter. The variance analysis showed the existence of genetic variability between elephant grass genotypes and two first principal components, a biplot analysis of the genotype and the characteristics explained 70.07% of the total variation. The dry weight per linear meter and yield per hectare were the variables with greater discriminatory powers, thus being suitable for selecting elephant grass genotypes. The dry matter yield was positively correlated with dry weight and stem diameter. Genotypes 7, 11 and 12 presented the highest overall mean and were also the most stable.
650 $aBiomassa
650 $aCapim Elefante
650 $aGenótipo
650 $aPennisetum Purpureum
653 $aBiplot
700 1 $aOLIVEIRA, T. R. A. de
700 1 $aDAHER, R. F.
700 1 $aGRAVINA, G. A.
700 1 $aVIDAL, A. K. F.
700 1 $aSTIDA, W. F.
700 1 $aCRUZ, D. P.
700 1 $aSANT'ANNA, C. Q. S. S. de
700 1 $aROCHA, R. S.
700 1 $aPEREIRA, A. V.
700 1 $aOLIVEIRA, G. H. F. de
773 $tRenewable Energy$gv. 160, 1265-1268, 2020.
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