MULTIVARIATE ANALYSIS APPLIED TO EVALUATION OF Eucalyptus CLONES FOR BIOENERGY PRODUCTION

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dc.creatorAllan Motta Couto
dc.creatorThiago de Paula Protásio
dc.creatorPaulo Fernando Trugilho
dc.creatorThiago Andrade Neves
dc.creatorVânia Aparecida de Sá
dc.date2013
dc.date.accessioned2026-07-07T02:40:50Z
dc.descriptionThis 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.
dc.formatapplication/pdf
dc.identifier0104-7760
dc.identifierhttps://www.redalyc.org/articulo.oa?id=74429306001
dc.identifier.urihttp://hdl.handle.net/123456789/421307
dc.languageen
dc.publisherUniversidade Federal de Lavras
dc.relationhttp://www.redalyc.org/revista.oa?id=744
dc.rightsCERNE
dc.sourceCERNE (Brasil) Num.4 Vol.19
dc.subjectAgrociencias
dc.titleMULTIVARIATE ANALYSIS APPLIED TO EVALUATION OF Eucalyptus CLONES FOR BIOENERGY PRODUCTION
dc.typeartículo científico

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