文献类型：期刊文献

英文题名：Physical and Mechanical Properties of Poplar Clones and Rapid Prediction of the Properties by Near Infrared Spectroscopy

作者：Jia, Ru[1,2] Wang, Yurong[1,2] Wang, Rui[1,2] Chen, Xu[1]

第一作者：Jia, Ru

通信作者：Wang, YR[1];Wang, YR[2]|[a0005066e07bcca30717f]王玉荣;

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forestry New Technol, Beijing 100091, Peoples R China

年份：2021

卷号：12

期号：2

起止页码：1-15

外文期刊名：FORESTS

收录：;EI(收录号：20210809961356);Scopus(收录号：2-s2.0-85100930350);WOS:【SCI-EXPANDED(收录号:WOS:000622496900001)】；

基金：The authors would like to gratefully acknowledge the financial support from the National Key Research and Development Program of China (No. 2017YFD0600201) and Central Public Interest Scientific Institution Basal Research Fund (No. CAFYBB2018GD001).

语种：英文

外文关键词：poplar; clone; density; MOR; MOE; compressive strength; NIRs

摘要：In order to understand the physical and mechanical properties of poplar clones, and explore a method for their quick evaluation, the air dry density, modulus of rupture (MOR), modulus of elasticity (MOE), and compressive strength parallel to grains of three new bred poplar clones were explored and the prediction models with the highest accuracy were established by near infrared spectroscopy (NIRs). Clone 50 (Populus deltoides CL. '55/65 ') had the highest air dry density, MOR, MOE, and compressive strength parallel to grains in the three clones. For clone 50 and 108 (Populus euramericana cv. 'Guariento'), the mechanical properties of sapwood were better than those of heartwood, and the sapwood of clone 50 also had a better air dry density than that of heartwood. There were significant positive correlations between the air dry density and mechanical properties, with correlation coefficients above 0.68. Prediction models with better effects could be obtained by using information on the cross section for the air dry density and mechanical properties. First derivative+ Savitzky-Golay (S-G) smoothing methods were employed for the air dry density and MOR, and multiple scattering correction (MSC)+ S-G smoothing methods were used when establishing prediction models of MOE and compressive strength parallel to grains.