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

被引：25

作者：

Neves Mendes Castro, Ana Flavia ^{[1
]}

Oliveira Castro, Renato Vinicius ^{[2
]}

Oliveira Carneiro, Angelica de Cassia ^{[1
]}

de Lima, Joao Eustaquio ^{[3
]}

dos Santos, Rosimeire Cavalcante ^{[4
]}

Corradi Pereira, Barbara Luisa ^{[1
]}

Nogueira Alves, Isabel Cristina ^{[5
]}

机构：

[1] Univ Fed Vicosa, Dept Engn Florestal, BR-36570000 Vicosa, MG, Brazil

[2] Univ Brasilia, Dept Engn Florestal, BR-70904970 Brasilia, DF, Brazil

[3] Univ Fed Vicosa, Dept Rural Econ, BR-36570000 Vicosa, MG, Brazil

[4] Univ Fed Rio Grande do Norte, Unidade Acad Especializada Ciencias Agr, BR-59072970 Natal, RN, Brazil

[5] Univ Fed Lavras, Dept Ciencia & Tecnol Madeira, BR-37200000 Lavras, MG, Brazil

来源：

PESQUISA AGROPECUARIA BRASILEIRA | 2013年 / 48卷 / 06期

关键词：

Eucalyptus; principal components; multivariate statistics; energy forests; wood technological properties; charcoal yield; UNIVARIATE;

D O I：

10.1590/S0100-204X2013000600008

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

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.

引用

页码：627 / 635

页数：9

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