木材科学与技术2025，Vol.39Issue(6)：33-42,10.DOI:10.12326/j.2096-9694.2025125
基于近红外光谱特征波长筛选的湿地松木材基本密度多品系预测模型研究
Prediction Model of Wood Basic Density in Multiple Pinus elliottii Half-sib Families Based on Near-Infrared Spectroscopy and Feature Wavelength Selection
摘要
Abstract
Three half-sib families(EB2,A04 and A05)of Pinus elliottii were used to analyze the longitudinal variation patterns of wood basic density and pulping potential,and to investigate the potential of developing a near-infrared(NIR)spectroscopy model to predict the basic density of multiple families.The results indicate that the basic density of three families decreased from the base to the top of the trunk.Among them,the EB2 family exhibited moderate density and the lowest coefficient of variation,demonstrating excellent pulping potential.Biological differences among families,combined with the high redundancy and high-dimensional nature of spectral data,limited the robustness and generalizability of multi-families full-spectrum models.By applying the competitive adaptive reweighted sampling(CARS)algorithm,17 feature wavelengths highly correlated with basic density were selected.The model developed with these wavelengths exhibited robust generalization across all the three families,achieving root mean square error of prediction(RMSEP)values between 19.6 to 23.23 kg/m³ and determination coefficients(R2)exceeding 0.81.This enables fast,non-destructive assessment of wood basic density in Pinus elliottii.This study provides technical support for high-throughput evaluation of wood properties in pulpwood breeding programs.关键词
湿地松/近红外光谱/基本密度/竞争自适应重加权采样算法/预测模型Key words
Pinus elliottii/near-infrared spectroscopy/basic density/competitive adaptive reweighted sampling/prediction model分类
农业科技引用本文复制引用
梁龙,吴珽,朱宏伟,马灵玉,王哲,房桂干..基于近红外光谱特征波长筛选的湿地松木材基本密度多品系预测模型研究[J].木材科学与技术,2025,39(6):33-42,10.基金项目
农业生物育种国家科技重大专项课题"纸浆材及结构材用松树木材性质与质量评价"(2023ZD0405905). （2023ZD0405905）
