Multivariate analysis for the selection of eucalyptus clones destined for charcoal production

• Autor(a) principal: Castro, Ana Flávia Neves Mendes
• Data de Publicação: 2013
• Outros Autores: Castro, Renato Vinícius Oliveira, Carneiro, Angélica de Cássia Oliveira, Lima, João Eustáquio de, Santos, Rosimeire Cavalcante dos, Pereira, Bárbara Luísa Corradi, Alves, Isabel Cristina Nogueira
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Pesquisa Agropecuária Brasileira (Online)
• Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/13580
• topic: Eucalyptus; principal components; multivariate statistics; energy forests; wood technological properties; charcoal yield; Eucalyptus; componentes principais; estatística multivariada; florestas energéticas; propriedades tecnológicas da madeira; rendimento em carvão

The objective of this work was to evaluate the wood quality of Eucalyptus spp. clones for the production of charcoal, to study the correlations between wood and charcoal properties, and to identify clones with the greatest potential for energy use. Data of clones from 18 settlements, in the Cerrado region of the state of Minas Gerais, Brazil, were subjected to the multivariate analysis of the canonical correlation analysis; principal component analysis; and cluster analysis. Charcoal properties are strongly correlated with the wood ones, mainly charcoal bulk density and gravimetric yield. Older materials with higher wood density have a higher quality for energy use. Principal component analysis is efficient to rank the materials as for wood quality, and the clustering method is able to successfully stratify clones by their wood quality.