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基于叶片光谱分析的烟草马铃薯Y病毒病严重度诊断

Diagnosis of tobacco PVY severity based on leaf spectral analysis

  • 摘要: 为利用光谱分析方法实现马铃薯Y病毒(PVY)病的有效监测预警,采用ASD非成像光谱仪获取了感病后不同严重度烟草叶片的光谱数据。分析结果表明,随着马铃薯Y病毒病严重度的增加,叶片光谱反射率在可见光波段(400~700 nm)内呈现逐渐升高的趋势,在近红外波段(700~1 300 nm)内呈现逐渐降低的趋势。利用一元线性回归分析法筛选出与马铃薯Y病毒病严重度呈显著相关的波长,并基于敏感波长453、518、572、708和775 nm的光谱反射率建立了病害严重度逐步回归诊断模型,模型验证决定系数(R2为0.67,均方根误差(RMSE)为1.97,预测准确度为83.84%。因此,烟草马铃薯Y病毒病侵染后不同严重度的烟草在特定波段内的光谱反射率存在显著差异,利用逐步回归法建立预测模型可实现对马铃薯Y病毒病严重度的诊断。

     

    Abstract: To realize effective monitoring and early warning of Potato virus Y(PVY)infection via spectral analysis, leaf spectra from PVY-infected tobacco with different severities were obtained by using ASD non-imaging spectrometer. The analysis results showed that with the increase of PVY severity, the leaf spectral reflectance increased gradually in the visible band(400-700 nm)and decreased gradually in the near-infrared band(700-1 300 nm). The two bands significantly correlated with the severity of PVY-infected tobacco were screened by unitary linear recursive analysis. Based on the spectral reflectance at the band combinations of 453, 518, 572, 708 and 775 nm, a stepwise regression diagnosis model for PVY severity grade was established. The verification decision coefficient (R2) of the model was 0.67 and its root mean square error(RMSE)was 1.97 with the prediction accuracy of 83.84%. Therefore, the spectral reflectance of tobacco with different severities of PVY infection was significantly different in specific bands. The prediction model established by the stepwise regression method could be used to diagnose PVY severity.

     

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