MULTIVARIATE ANALYSIS APPLIED TO EVALUATION OF Eucalyptus CLONES FOR BIOENERGY PRODUCTION

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Allan Motta Couto Thiago de Paula Protásio Paulo Fernando Trugilho Thiago Andrade Neves Vânia Aparecida de Sá

Abstract

This research aimed to select Eucalyptus clones for bioenergy production by using of two multivariate techniques, principal component analysis and cluster analysis. The analysis evaluated 25 clones of Eucalyptus at age 54 months. Determinations included the concentrations of elemental components (C, H and O), lignin, total extractives and ash, as well as basic density, higher heating value and energy density. Both multivariate methods being used to evaluate and select clones of Eucalyptus for bioenergy production proved effective, there being similarities between the biomass groups formed by them. The cluster analysis revealed five distinct groupings, out of which cluster one, formed by clone U060, was found to have greater potential as a source of energy. Clones G084, G122, G023 and U108 had poorer energy performance.

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How to Cite
COUTO, Allan Motta et al. MULTIVARIATE ANALYSIS APPLIED TO EVALUATION OF Eucalyptus CLONES FOR BIOENERGY PRODUCTION. CERNE, [S.l.], v. 19, n. 4, p. 525-533, apr. 2016. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/932>. Date accessed: 20 sep. 2019.
Keywords
Renewable energy, biomass, genetic selection, wood quality.
Section
Article