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Estimating leaf SPAD values of freeze-damaged winter wheat using continuous wavelet analysis

机译：连续小波分析估计冻害冬小麦叶片SPAD值

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Freeze injury, one of the most destructive agricultural disasters caused by climate, has a significant impact on the growth and production of winter wheat. Chlorophyll content is an important indicator of a plant's growth status. In this study, we analyzed the hyperspectral reflectance of normal and freeze stressed leaves of winter wheat using a spectro-radiometer in a laboratory. The response of the chlorophyll spectra of plants under freeze stress was analyzed to predict the severity of freeze injury. A continuous wavelet transform (CWT) was conducted in conjunction with a correlation analysis, which generated a correlation scalogram that summarized the correlation between the chlorophyll content (SPAD value) and wavelet power at different wavelengths and decomposition scales. A linear regression model was established to relate the SPAD values and wavelet power coefficients. The results indicated that the most sensitive wavelet feature (region E: 553 nm, scale 5, R-2 = 0.8332) was located near the strong pigment absorption bands, and the model based on this feature could estimate the SPAD value with a high coefficient of determination (R-2 = 0.7444, RMSE = 7.359). The data revealed that the chlorophyll content of leaves under different low temperatures treatments could be accurately estimated using CWT. Also, this emerging spectral analytical approach can be applied to other complex datasets, including a broad range of species, and may be adapted to estimate basic leaf biochemical elements, such as nitrogen, cellulose, and lignin. (C) 2015 Elsevier Masson SAS. All rights reserved.
机译：冻害是气候造成的最具破坏性的农业灾害之一，对冬小麦的生长和生产产生了重大影响。叶绿素含量是植物生长状态的重要指标。在这项研究中，我们在实验室中使用分光辐射计分析了正常小麦和冷冻胁迫的冬小麦叶片的高光谱反射率。分析了植物在冰冻胁迫下的叶绿素光谱响应，以预测冰冻伤害的严重程度。进行连续小波变换（CWT）并进行相关分析，生成了相关比例尺图，总结了叶绿素含量（SPAD值）与小波功率在不同波长和分解尺度下的相关性。建立了线性回归模型以关联SPAD值和小波功率系数。结果表明，最敏感的小波特征（区域E：553 nm，尺度5，R-2 = 0.8332）位于强色素吸收带附近，基于该特征的模型可以以较高的系数估计SPAD值测定值（R-2 = 0.7444，RMSE = 7.359）。数据表明，使用CWT可以准确估计不同低温处理下叶片的叶绿素含量。而且，这种新兴的光谱分析方法可以应用于其他复杂的数据集，包括各种各样的物种，并且可以适用于估算基本的叶片生化元素，例如氮，纤维素和木质素。 （C）2015 Elsevier Masson SAS。版权所有。

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