Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
IAWA Bulletin n.s., Vol. 5 (3),1984 ADDENDA TO THE ABSTRACTS FOR THE PACIFIC REGIONAL WOOD ANATOMY CONFERENCE Tsukuba, Japan, October 1-7, 1984 (continued from IAWA Bulletin n.s., 5: 155-173) GEZA IFJU and JOÄO PERES CHIMELO, H. WANG, Department of Forestry, National Virginia Po1ytechnic Institute and State Uni Taiwan University, Taipei, Taiwan, R.O.C. - versity, B1acksburg, VA, U.S.A., and Instituto The fine structure of Leucaena, a potential raw de Pesquisas Tecno16gicas, Sao Pau10, SP, Bra material for the pulp & paper industry. zil. - Can quantitative anatomy be useful for Transverse, radial and tangential seetions of probability-based wood identification? four strains K8, K67,K72 and SI of Leucaena The objectives of this study were to deter grown in Southern Taiwan were examined by mine size distribution parameters of the anato light microscopy, and scanning and transmis mica1 elements of the secondary xylem of 40 sion electron microscopy. These four strains Brazilian tropica1 angiosperms and to attempt are alm ost indiscriminate under the light micro to use the quantitative parameters in a probabi seope, while ornaments on cell lumen and wall features appear different among strains in TEM lity-based computerised identification scheme. Quantitative structura1 parameters of the cel and SEM investigations. lu1ar elements were determined using the tech Pits on vessels are a11 moderately vestured. niques of stereology. Each of the 40 species The projections vary in their shape and size not only among strains but also in one pit. All kinds was represented by three trees. The data were of pit pairs, i.e. inter-ray, inter-fibre, inter-vessel subjected to a multivariate statistical analysis known as discriminant analysis. The analysis and ray-vessel, ray-fibre, fibre-vessel pit con was based on 21 selected size distribution para tacts are separately described and elucidated. meters. The criterion for species separation was Slightly-bordered simple pit pairs are frequent the generalised square distance between indi Iy observed in all four strains. Fibrillar deposits viduals which was based on the poo1ed covari found on septate fibres, longitudinal and ray anee matrix of all species. The assumption was parenchyma might have some connection with also made that all species had equal prior prob their pit chambers. abilities that a single tree would be classified Ray cells near-the-pith possess up to seven into them. lamellae in their secondary walls; further inves From the total of 120 trees, all but 11 could tigations are in progress for possible proof. be identified correctly as to their species at The septa of septate fibres growing inside 90% level of probability. When the threshold the S3 layer, resemble the middle lamella in probability was lowered to 80%, 113 trees their hue and texture. A partial cell wall layer were correct1y identified. retained beside the middle lamella in the pit The results indicated that there may be suffi area, in addition to the wall vestiges found in cient species specificity in a set of size distribu the pit chamber suggest a dissolution mecha nism during pit formation. tion parameters for a species to allow its sepa ration from others. By increasing the number of such parameters a greater accuracy of sepa ration may be achieved.
IAWA Journal – Brill
Published: Jan 1, 1984
You can share this free article with as many people as you like with the url below! We hope you enjoy this feature!
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.