林业科学2024，Vol.60Issue(5)：169-176,8.DOI:10.11707/j.1001-7488.LYKX20220456
桃花心木木材定量解剖特征变异性及其识别
Quantitative Anatomy Analysis on Wood Feature Variability and Wood Identification of Swietenia Species
摘要
Abstract
[Objective]Based on quantitative wood anatomy(QWA)method,the wood anatomical features of three Swietenia species were analyzed to reveal the patterns of their interspecific and intraspecific variation,and provide a scientific basis for accurate wood identification at the level of"species".[Method]The microscopic images of S.macrophylla,S.mahagoni and S.humilis were collected from transverse,radial and tangential section respectively using a microscope,and the quantitative data of seven anatomical features of wood,i.e.the vessel element length(VEL),tangential diameter of vessel lumina(TVD),vessels per square milimeter(FOV),fiber length(FL),ray width(RW),ray height(RH)and rays per millimeter(RPMM)were measured by image analysis software to investigate the interspecific and intraspecific variation of wood anatomical features.Additionally,the random forest algorithm was used to discriminate three Swietenia species at the species level,and the contributions of different quantitative anatomical features to wood identification were comparatively analyzed.[Result]The wood anatomical features of the three Swietenia species were highly closed in vessel,axial parenchyma and wood rays under microscope,therefore it is difficult to distinguish them artificially.However there were significant difference among three Swietenia species in six quantitative wood anatomical features except for RW.The random forests algorithm has a discrimination accuracy of 86.67%for Swietenia mahagoni.VEL showed the highest value of the mean decrease accuracy(3.956)and the mean decrease Gini(6.311),followed by the TVD.RW exhibited the lowlest value of the mean decrease accuracy(0.797)and the mean decrease Gini(2.175).Among the seven wood anatomical features,VEL exhibit the most contribution to the wood identification accuracy,while the RW had the least contribution.[Conclusion]This study reveals the interspecific and intraspecific variation of three selected Swietenia species and the key quantitative anatomical features in wood identification based on quantitative wood anatomy,which provided a scientific basis of the accurate wood identification at"species"level.关键词
桃花心木/定量解剖/变异规律/随机森林/木材识别Key words
Swietenia/quantitative wood anatomy/variation pattern/random forest/wood identification分类
农业科技引用本文复制引用
刘守佳,何拓,陆杨,焦立超,郭娟,Alex CWiedenhoeft,殷亚方..桃花心木木材定量解剖特征变异性及其识别[J].林业科学,2024,60(5):169-176,8.基金项目
北京市自然科学基金项目"基于精细构造特征和深度学习的木材自动精准识别方法研究"(32201496). （32201496）
