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中国农学通报

中国农学通报 ›› 2011, Vol. 27 ›› Issue (21): 39-43.

所属专题： 小麦

• 农学 农业基础科学 • 上一篇    下一篇

基于便携式光谱仪和反射、透射光谱技术的小麦叶片叶绿素定量分析研究

王雪 吉海彦   

  • 收稿日期:2011-03-31 修回日期:2011-07-05 出版日期:2011-08-25 发布日期:2011-08-25
  • 基金资助:

    国家高技术研究发展计划(“863计划”)

Quantitative Analysis of Chlorophyll in Wheat Leaf Based on Reflection Spectroscopy and Transmission Spectroscopy Using Portable Spectrometer

  • Received:2011-03-31 Revised:2011-07-05 Online:2011-08-25 Published:2011-08-25

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摘要：

为了无损检测小麦叶片叶绿素含量，应用便携式高分辨率光谱仪及内置钨卤灯光源的叶片夹采集小麦叶片的反射、透射光谱数据，采用多种预处理方法对光谱数据进行预处理。用偏最小二乘法建立小麦叶片叶绿素含量与反射、透射光谱间的数学模型，同时分析了不同预处理方法对模型预测性能的影响。结果表明，基于反射光谱的最优检测模型校正集的相关系数r为0.950，预测标准偏差SD为0.1287，相对标准偏差RSD为5.67%。检验集的相关系数r为0.926，预测标准偏差SD为0.1892，相对标准偏差RSD为8.26%。基于透射光谱的最优检测模型r为0.846，SD为0.2201，RSD为9.69%。检验集的r为0.880，SD为0.2714，RSD为11.84%。研究表明，应用便携式高分辨率光谱仪和反射、透射光谱技术来定量分析小麦叶片叶绿素含量是具有可行性的；通过对比发现，基于反射光谱模型的预测性能较好；为叶片叶绿素含量的现场快速无损测定提供了一种有效途径。

关键词: NDVI, NDVI

Abstract:

Both reflection spectroscopy and transmission spectroscopy data were recorded by HR4000 high-resolution portable spectrometer and leaf folder with built-in tungsten halogen light source. Using a variety of pretreatment methods on the spectral data pre-processing, mathematical models between reflection spectroscopy, transmission spectroscopy and chlorophyll content of wheat leaves were established using partial least squares (PLS) method, respectively. The effect of different pretreatment methods on predicted performance was analyzed. The results showed that the best detection model to predict chlorophyll content in wheat leaves by reflection spectroscopy with 0.950 and 0.926 as the correlation coefficient (r) of calibration and predicted set, 0.1287 and 0.1892 as the standard deviation (SD) of calibration and predicted set, 5.67% and 8.26% as the relative standard deviation (RSD) of calibration and predicted set, respectively. These parameters of the best detection model to predict chlorophyll content in wheat leaves with transmission spectroscopy were 0.846 and 0.880 as the correlation coefficient (r) of calibration and predicted set, 0.2201 and 0.2714 as the standard deviation (SD) of calibration and predicted set, 9.69% and 11.84% as the relative standard deviation (RSD) of calibration and predicted set, respectively. The results indicated that the application of reflection spectroscopy and transmission spectroscopy to quantitative analysis the chlorophyll content of wheat leaf was feasible. Through comparison, the model based on reflection spectroscopy was shown to have better predictability than the model based on transmission spectroscopy. At the same time, it provided an effective way for the quick non-destructive determination of chlorophyll content in leaf.