Data/hora: 25/06/2024 11:13:35

Biblioteca(s): 	Embrapa Gado de Leite.	
Data corrente: 	15/08/2021	
Data da última atualização: 	15/08/2021	
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	
Registro original: 	Embrapa Gado de Leite (CNPGL)	
Exemplares: 	CNPGL - (25213-1) - UPC - AP - DD -  -  -  - DIS