|
|
Registro Completo |
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
03/12/2009 |
Data da última atualização: |
14/04/2010 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
ADEGAS, F. S.; VOLL, E.; GAZZIERO, D. L. P. |
Afiliação: |
FERNANDO STORNIOLO ADEGAS, CNPSo; ELEMAR VOLL, CNPSo; DIONISIO LUIZ PISA GAZZIERO, CNPSo. |
Título: |
Aconitic acid on seeds of Ipomea grandifolia and Sida sp from different locations in Brazil. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: WORLD SOYBEAN RESEARCH CONFERENCE, 8., 2009, Beijing. Developing a global soy blueprint for a safe secure and sustainable supply: abstracts. Beijing: Chinese Academy of Agricultural Sciences: Institute of Crop Science, 2009. p. 94, ref. P208. WSRC 2009. Editado por Lijuan Qiu, Rongxia Guan, Jian Jin, Qijan Song, Shuntang Guo, Wenbin Li, Yuanchao Wang, Tianfu Han, Xiaobing Liu, Deyue Yu, Lianzhou Jiang, Deliang Peng. |
Idioma: |
Inglês |
Palavras-Chave: |
Endophytic fungi; Ipomea grandifolia; Sida sp. |
Thesagro: |
Alelopatia; Corda de viola; Erva daninha. |
Thesaurus Nal: |
Allelopathy; Weeds. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 01011naa a2200229 a 4500 001 1577239 005 2010-04-14 008 2009 bl uuuu u00u1 u #d 100 1 $aADEGAS, F. S. 245 $aAconitic acid on seeds of Ipomea grandifolia and Sida sp from different locations in Brazil. 260 $c2009 650 $aAllelopathy 650 $aWeeds 650 $aAlelopatia 650 $aCorda de viola 650 $aErva daninha 653 $aEndophytic fungi 653 $aIpomea grandifolia 653 $aSida sp 700 1 $aVOLL, E. 700 1 $aGAZZIERO, D. L. P. 773 $tIn: WORLD SOYBEAN RESEARCH CONFERENCE, 8., 2009, Beijing. Developing a global soy blueprint for a safe secure and sustainable supply: abstracts. Beijing: Chinese Academy of Agricultural Sciences: Institute of Crop Science, 2009. p. 94, ref. P208. WSRC 2009. Editado por Lijuan Qiu, Rongxia Guan, Jian Jin, Qijan Song, Shuntang Guo, Wenbin Li, Yuanchao Wang, Tianfu Han, Xiaobing Liu, Deyue Yu, Lianzhou Jiang, Deliang Peng.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Soja (CNPSO) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
| 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 |
Circulação/Nível: |
A - 1 |
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 |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|