| |
|
|
 | 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 |
|
Biblioteca(s): |
Embrapa Gado de Leite. |
|
Data corrente: |
15/08/2021 |
|
Data da última atualização: |
15/08/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
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. |
|
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. |
|
Título: |
Multivariate analysis in the selection of elephant grass genotypes for biomass production. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Renewable Energy, v. 160, 1265-1268, 2020. |
|
DOI: |
https://doi.org/10.1016/j.renene.2020.06.094 |
|
Idioma: |
Inglês |
|
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. |
|
Palavras-Chave: |
Biplot. |
|
Thesagro: |
Biomassa; Capim Elefante; Genótipo; Pennisetum Purpureum. |
|
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
Marc: |
LEADER 02313naa a2200313 a 4500
001 2133575
005 2021-08-15
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
|
Data corrente: |
21/12/2022 |
|
Data da última atualização: |
07/02/2023 |
|
Tipo da produção científica: |
Documentos |
|
Autoria: |
BORGES, A. L. (ed.). |
|
Afiliação: |
ANA LUCIA BORGES, CNPMF. |
|
Título: |
Boas práticas agrícolas para produção orgânica de goiaba. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2022. |
|
Série: |
(Embrapa Mandioca e Fruticultura. Documentos, 254). |
|
ISSN: |
1809-4996 |
|
Idioma: |
Português |
|
Notas: |
ODS. |
|
Thesagro: |
Goiaba. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/246399/1/Documento254-AnaLucia-2022-AINFO-2.pdf
|
|
Marc: |
LEADER 00466nam a2200145 a 4500
001 2150159
005 2023-02-07
008 2022 bl uuuu 00u1 u #d
022 $a1809-4996
100 1 $aBORGES, A. L.
245 $aBoas práticas agrícolas para produção orgânica de goiaba.$h[electronic resource]
260 $aCruz das Almas, BA: Embrapa Mandioca e Fruticultura$c2022
490 $a(Embrapa Mandioca e Fruticultura. Documentos, 254).
500 $aODS.
650 $aGoiaba
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
