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

梁龙; 吴珽; 朱宏伟; 马灵玉; 王哲; 房桂干

doi:10.12326/j.2096-9694.2025125

“定向培育松树木材性质评价”专栏 | 浏览量 : 0 下载量: CSCD: 0 CNKI被引量: 0 Crossref: 0 Wos: 0 Scopus: 0 更多指标

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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
1.中国林业科学研究院林产化学工业研究所，江苏南京 210042
2.岳阳林纸股份有限公司，湖南岳阳 414002
3.中国林业科学研究院木材工业研究所，北京 100091
4.广东省森林培育与保护利用重点实验室，广东省林业科学研究院，广东广州 510520
2025年39卷第6期页码：33-42
DOI： 10.12326/j.2096-9694.2025125
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梁龙,吴珽,朱宏伟等.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(06):33-42. DOI： 10.12326/j.2096-9694.2025125.

LIANG Long,WU Ting,ZHU Hongwei,et al.Prediction Model of Wood Basic Density in Multiple Pinus elliottii Half-sib Families Based on Near-Infrared Spectroscopy and Feature Wavelength Selection[J].Chinese Journal of Wood Science and Technology,2025,39(06):33-42. DOI： 10.12326/j.2096-9694.2025125.

摘要

以湿地松（

Pinus elliottii

）三个品系EB2、A04、A05为研究对象，分析其木材基本密度轴向变异规律和制浆适应性，并探讨基于近红外光谱技术构建多品系通用基本密度预测模型的可行性。研究结果显示，三个品系基本密度均呈现从树干基部到顶部递减的趋势，其中EB2品系基本密度（513±52 kg/m³）适中、变异系数（10.30%）最低，表现优良的制浆潜力；不同品系间的生物学差异以及光谱自身的高冗余、高维度特性，制约了多品系全波段混合建模的稳健性及泛化能力；通过竞争自适应重加权采样（CARS）算法筛选出17个与基本密度高度相关的特征波长，据此构建模型对各品系均表现出良好的泛化能力，预测均方根误差（RMSEP）为19.6~23.23 kg/m³，决定系数（

）达0.81以上，可实现湿地松木材基本密度的快速无损检测。该研究为纸浆材育种中木材性状的高通量评价提供技术支撑。

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 (

) 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.

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references

LENG C H , WANG J W , DONG L M , et al . Radial variation and early prediction of wood properties in Pinus elliottii engelm. plantation [J ] . Forests , 2024 , 15 ( 5 ): 870 .

LAI M , DONG L M , SU R F , et al . Needle functional features in contrasting yield phenotypes of slash pine at three locations in Southern China [J ] . Industrial Crops and Products , 2023 , 206 : 117613 .

LIU X M , MA L Y , ZHAN W H , et al . Radial variation of wood anatomical characteristics and demarcation of juvenile and mature wood in two slash pine ( Pinus elliottii ) half-sib families [J ] . IAWA Journal , 2025 , 46 ( 4 ): 612 - 634 .

谭志强 , 邓乐平 , 李义良 , 等 . 湿地松引种家系的个体育种值评价 [J ] . 林业与环境科学 , 2021 , 37 ( 6 ): 30 - 37 .

TAN Z Q , DENG L P , LI Y L , et al . Evaluation of individual breeding value of Pinus elliottii ’s introduction families [J ] . Forestry and Environmental Science , 2021 , 37 ( 6 ): 30 - 37 .

赵奋成 , 林昌明 , 吴惠姗 , 等 . 湿地松×洪都拉斯加勒比松生长性状遗传参数年度变化趋势及相关分析 [J ] . 林业与环境科学 , 2018 , 34 ( 2 ): 1 - 12 .

ZHAO F C , LIN C M , WU H S , et al . Age Trends and Correlation Analysis of Genetic Parameters on Growth Traits in Pinus elliottii var. elliottii × P. caribaea var. hondurensis [J ] . Forestry and Environmental Science , 2018 , 34 ( 2 ): 1 - 12 .

赵奋成 , 李宪政 , 张应中 , 等 . 湿地松与洪都拉斯加勒比松的杂交效果分析 [J ] . 林业科学研究 , 2006 , 19 ( 4 ): 409 - 415 .

ZHAO F C , LI X Z , ZHANG Y Z , et al . Hybridizing Effe ct Analysis between Pinus elliottii var . elliottii and Pinus caribaea var . hondurensis [J ] . Forest Research , 2006 , 19 ( 4 ): 409 - 415 .

BILLARD A , BAUER R , MOTHE F , et al . Vertical variations in wood basic density for two softwood species [J ] . European Journal of Forest Research , 2021 , 140 ( 6 ): 1401 - 1416 .

LAMOUR J , SOUZA D C , GIMENEZ B O , et al . Wood-density has no effect on stomatal control of leaf-level water use efficiency in an Amazonian forest [J ] . Plant , Cell & Environment, 2023 , 46 ( 12 ): 3806 - 3821 .

TSUCHIKAWA S , INAGAKI T , MA T . Application of near-infrared spectroscopy to forest and wood products [J ] . Current Forestry Reports , 2023 , 9 ( 6 ): 401 - 412 .

WANG Y , XIANG J , TANG Y , et al . A review of the application of near-infrared spectroscopy (NIRS) in forestry [J ] . Applied Spectroscopy Reviews , 2022 , 57 ( 4 ): 300 - 317 .

HAYNES R S , LUCIEER A , BRODRIBB T J , et al . Predicting key water stress indicators of Eucalyptus viminalis and Callitris rhomboidea using high-resolution visible to short-wave infrared spectroscopy [J ] . Plant , Cell & Environment, 2024 , 47 ( 12 ): 4992 - 5006 .

汪睿 , 王雪玉 , 贾茹 , 等 . 近红外光谱法快速预测栓皮栎木材密度可行性研究 [J ] . 木材工业 , 2020 , 34 ( 5 ): 54 - 58 .

WANG R , WANG X Y , JIA R , et al . Feasibility research on rapid predicting wood density in Quercus variabilis by near infrared spectroscopy [J ] . China Wood Industry , 2020 , 34 ( 5 ): 54 - 58 .

ACQUAH G E , ESSIEN C , VIA B K , et al . Estimating the basic density and mechanical properties of elite loblolly pine families with near infrared spectroscopy [J ] . Forest Science , 2018 , 64 ( 2 ): 149 - 158 .

ALVES A , SANTOS A , ROZENBERG P , et al . A common near infrared: based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × eurolepis [J ] . Wood Science and Technology , 2012 , 46 ( 1 ): 157 - 175 .

褚小立 . 化学计量学方法与分子光谱分析技术 [M ] . 北京 : 化学工业出版社 , 2011 ： 75 - 76 .

LI H D , LIANG Y Z , XU Q S , et al . Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration [J ] . Analytica Chimica Acta , 2009 , 648 ( 1 ): 77 - 84 .

BILLARD A , BAUER R , MOTHE F , et al . Vertical variations in wood basic density for two softwood species [J ] . European Journal of Forest Research , 2021 , 140 ( 6 ): 1401 - 1416 .

FANGEL J U , SØRENSEN K M , JACOBSEN N , et al . The legacy of terrestrial plant evolution on cell wall fine structure [J ] . Plant , Cell & Environment, 2024 , 47 ( 4 ): 1238 - 1254 .

MARTINS G S , YULIARTO M , ANTES R , et al . Wood and pulping properties variation of Acacia crassicarpa A.Cunn. ex Benth. and sampling strategies for accurate phenotyping [J ] . Forests , 2020 , 11 ( 10 ): 1043 .

SANTOS A , ANJOS O , AMARAL M E , et al . Influence on pulping yield and pulp properties of wood density of Acacia melanoxylon [J ] . Journal of Wood Science , 2012 , 58 ( 6 ): 479 - 486 .

SCHWANNINGER M , RODRIGUES J C , FACKLER K , A review of band assignments in near infrared spectra of wood and wood components [J ] . Journal of Near Infrared Spectroscopy , 2011 , 19 ( 5 ): 287 - 308 .

MORA C R , SCHIMLECK L R , YOON S C , et al . Determination of basic density and moisture content of loblolly pine wood disks using a near infrared hyperspectral imaging system [J ] . Journal of Near Infrared Spectroscopy , 2011 , 19 ( 5 ): 401 - 409 .

VIA B K , SO C L , Shupe T F , et al . Ability of near infrared spectroscopy to monitor air-dry density distribution and variation of wood [J ] . Wood and Fiber Science , 2005 , 37 ( 3 ): 394 - 402 .

AACC Method 39-00:15, Near-infrared methods: guidelines for model development and maintenance [S ] . Association of Cereal Chemists (AACC).

SCHIMLECK L R , JONES P D , CLARK A , et al . Near infrared spectroscopy for the nondestructive estimation of clear wood properties of Pinus taeda L. from the southern United States [J ] . Forest Products Journal , 2005 , 55 ( 12 ): 21 - 28 .

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