文献类型：期刊文献

英文题名：Main mechanical properties of new Chinese fir clones and their rapid prediction by near-infrared spectroscopy

作者：Jia, Ru[1,2] Wang, Yurong[1,2] Wang, Rui[1,2] Sun, Haiyan[1,2] Liu, Shengquan[3] Zhou, Liang[3]

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;[3]Anhui Agr Univ, Sch Forestry & Landscape Architecture, Hefei 230036, Anhui, Peoples R China

年份：2022

卷号：52

期号：1

起止页码：90-99

外文期刊名：CANADIAN JOURNAL OF FOREST RESEARCH

收录：;EI(收录号：20220311474878);Scopus(收录号：2-s2.0-85122798831);WOS:【SCI-EXPANDED(收录号:WOS:000743876000008)】；

基金：This research was supported by the National Key Research and Development Project of China (2017YFD0600201) and the Forestry Science and Technology Cooperation Project between Zhejiang Province and Chinese Academy of Forestry (No. 2021SY09) .

语种：英文

外文关键词：Chinese fir; clones; mechanical properties; near-infrared spectroscopy; rapid prediction

摘要：Owing to its rapidity and accuracy, near-infrared (NIR) spectroscopy is a powerful tool to establish appropriate prediction models with an innovative method to evaluate wood properties. To reveal the mechanical qualities of clonal Chinese fir woods and to determine sound prediction models of mechanical properties, four main mechanical properties of six Chinese fir clones (Yang 020, Yang 061, Kaihua 3, Kaihua 13, Daba 8, Kailin 24) were evaluated by NIR spectroscopy. The clones Kaihua 13, Kailin 24, and Yang 020 showed good mechanical properties. To estimate mechanical properties with NIR spectroscopy, different methods should be adopted for different properties. The average spectra of radial and tangential sections combined with multiple scattering correction (MSC) and Savitzky-Golay (S-G) smoothing methods were used to predict the modulus of rupture and modulus of elasticity. By adopting cross section spectra and taking MSC and S-G smoothing methods for pretreatment, the models of compressive strength parallel to grain could deliver the best results. For wood hardness, the models established with average spectra of three sections and first-derivative method were preferred. The correlation coefficients of the prediction models were between 0.84 and 0.90, and those of the calibration models were between 0.75 and 0.96.