02313naa a2200313 a 450000100080000000500110000800800410001902400540006010000190011424501180013326000090025152014030026065000130166365000190167665000140169565000250170965300110173470000260174570000170177170000190178870000200180770000170182770000160184470000300186070000170189070000190190770000260192677300470195221335752021-08-15       2020    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.renene.2020.06.0942DOI1 aGRAVINA, L. M.  aMultivariate analysis in the selection of elephant grass genotypes for biomass production.h[electronic resource]  c2020  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.  aBiomassa  aCapim Elefante  aGenótipo  aPennisetum Purpureum  aBiplot1 aOLIVEIRA, T. R. A. de1 aDAHER, R. F.1 aGRAVINA, G. A.1 aVIDAL, A. K. F.1 aSTIDA, W. F.1 aCRUZ, D. P.1 aSANT'ANNA, C. Q. S. S. de1 aROCHA, R. S.1 aPEREIRA, A. V.1 aOLIVEIRA, G. H. F. de  tRenewable Energygv. 160, 1265-1268, 2020.