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尾叶桉木材密度光谱特征模型研究
杨晓慧,廖焕琴,徐放,张卫华,潘文,杨会肖
广东省森林培育与保护利用重点实验室,广东省森林培育与保护利用重点实验室,广东省森林培育与保护利用重点实验室,广东省森林培育与保护利用重点实验室,广东省森林培育与保护利用重点实验室,广东省森林培育与保护利用重点实验室
摘要:
采用DA7250型二极管阵列结合的近红外成分分析仪,对160个样本的光谱数据进行分析,建立了近红外法无损测定其基本密度的模型。根据采用偏最小二乘法(PLS)建立分析模型,进行了准确性验证。实验表明:近红外光谱法同标准分析方法之间,无显著性差异,可以用于近红外光谱法尾叶桉的基本密度指标的无损测定,为我国尾叶桉良种选育提供了一种快速、简单、准确、低成本的测试方法。
关键词:  尾叶桉  快速测定基本密度  近红外光谱  偏最小二乘法
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基金项目:广东省科技计划项目(2016B070701008),广东省林业科技创新项目(2016KJCX002)资助This work was supported by the Planning projects for Science and Technology in Guangdong (Grant No. 2016B070701008), the Innovation Project for Forestry Science and Technology in Guangdong (2016KJCX002).
Spectral Characteristics Model of Wood Density in Eucalyptus urophylla
Xiaohui Yang,Huanqin Liao,Fang Xu,Weihua Zhang,Wen Pan and Huixiao Yang
Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization,Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization,Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization,Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization,Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization,Guangdong Provincial Key Laboratory of Silviculture,Protection and Utilization
Abstract:
160 samples of Eucalyptus urophylla were analysed by near-infrared reflectance spectroscopy DA7250. And a model for non-destructive determination of basic density was established. Based on the chemical analysis data and partial least squares (PLS) analysis, the model was established and the verification accuracy was also carried out. It showed that: there was no significant difference between near-infrared spectroscopy and standard analytical methods. The non-destructive determination by near-infrared spectroscopy can be used for non-destructive determination on content of basic density from Eucalyptus urophylla, which could provide a quick, accurate and low-cost test method for our country’s good breeding.
Key words:  Eucalyptus urophylla  rapid determination of basic density  Near Infrared Reflectance Spectroscopy  partial least squares