A Study on Chemical Composition of Eucalyptus pellita F. Muell Wood from Progeny Test Second Generation Tree in Wonogiri, Central Java

Eucalyptus pellita F. Muell (E. pellita) is one of the fast growing species, which is being developed through tree breeding program. The development of this species had produced good results in the genetic growth characteristics in the first and second generation of progeny trials. The objectives of...

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Bibliographic Details
Main Authors: Siti Fatimah, Mudji Susanto, Ganis Lukmandaru
Format: Article
Language:English
Published: Universitas Gadjah Mada 2013-04-01
Series:Jurnal Ilmu Kehutanan
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Online Access:https://jurnal.ugm.ac.id/jikfkt/article/view/6138
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Summary:Eucalyptus pellita F. Muell (E. pellita) is one of the fast growing species, which is being developed through tree breeding program. The development of this species had produced good results in the genetic growth characteristics in the first and second generation of progeny trials. The objectives of this research were determining the variation of wood chemical components, clustering and rating the plus trees to support the development program in next generation of the progeny trial, especially in pulp and paper purposes. The materials were the 61 plus trees of E. pellita trees 9-years-old from second generation of progeny trial, Wonogiri in six different provenances. The sampling used the increment borer system at 90 cm from the surface. Materials from the increment borer were milled to 40 - 60 mesh of wood powder. The wood chemical properties were tested according to ASTM standards. It included ethanol-toluene and hot-water solubles by sequential extraction as well as holocellulose, alpha-cellulose and lignin contents. Data analysis used descriptive and clustering analysis. The results showed that the range values of ethanol-toluene extractives and hot water content respectively were 1.87 - 10.92 % and 0.64 - 10.00 %. The range values of holocellulose, alpha-cellulose and lignin contents were 72.89 - 79.91 %, 41.84 - 54.85 % and 22.12 - 36.61 %, respectively. The high values of coefficient of variation were observed in extractive content levels (30,78 - 82,91 %). Based on the simple rating, which was resulted from descriptive and cluster analysis, it gave the best 13 individuals of plus trees for pulp and paper purposes.
ISSN:0126-4451
2477-3751