首页> 中文期刊> 《光谱学与光谱分析》 >基于傅里叶变换红外光谱的大白菜根肿病定量测评

基于傅里叶变换红外光谱的大白菜根肿病定量测评

         

摘要

Clubroot ,caused by Plasmodiophorabrassicae ,is considered the most devastating soilborne disease in Brassica crops . It has emerged as a serious disease threatening the cruciferous crop production industry in China .Nowadays ,the detection tech-niques for P .brassicae are laborious ,time-consuming and low sensitivity .Rapid and effective detection methods are needed .The objective of this study is to develop a Fourier transform infrared spectrometer (FTIR) technique for detection of P .brassicae ef-fectively and accurately .FTIR and Real-time PCR techniques were applied in quantitative detection of P .brassicae .Chinese cab-bages were inoculated with P .brassicae .By analyzing the FTIR spectra of P .brassicae ,infected clubroots and healthy roots , three specific bands 1 105 ,1 145 and 1 228 cm-1 were selected .According to the correlation between the peak areas at these sen-sitive bands and Real-time PCR Ct value ,quantitative evaluation model of P .brassicae was established based on FTIR y=34.17+12.24x1 -9.81x2 -6.05x3 ,r=0.98 (p<0.05) .To validate accuracy of the model ,10 clubroot samples were selected ran-domly from field ,and detected by FTIR spectrum model ,the results showed that the average error is 1.60% .This demonstra-ted that the FTIR technology is an available one for the quantitative detection of P .brassicae in clubroot ,and it provides a new method for quantitative and quickly detection of Chinese cabbage clubroot .%大白菜根肿病是白菜生长中的“癌症”,近年来在我国大面积发生,造成巨大经济损失。现有技术不能满足生产中对根肿病检测的需求,迫切需要一种快速、简便的大白菜根肿病定量化测评及检测技术。本研究利用傅里叶变换红外光谱(Fourier transform infrared spectrometer ,FTIR)结合荧光定量 PCR(Real-time PCR)技术,进行大白菜根肿病的定量测评技术研究。通过分析芸薹根肿菌、大白菜发病肿根和健康根的FTIR光谱,选择了1105,1145和1228 cm -1三个根肿菌检测的特异性谱带,利用这三个谱带的峰面积值,建立了芸薹根肿菌的FTIR定量测评模型 y=34.17+12.24x1-9.81x2-6.05x3,相关系数 r=0.98(p<0.05)。为了验证模型的有效性,田间随机选取10株大白菜根肿病样本,根据建立的大白菜根肿病FTIR光谱定量测评模型,计算大白菜根肿菌C t值,结果显示平均预测误差为1.60%。说明试验构建的线性模型测定效果良好,可以根据大白菜根部样本的红外光谱,判断芸薹根肿菌的含量。本研究为十字花科蔬菜根肿病的定量、快速检测提供新的手段,为田间根肿菌的预测预防奠定基础。

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