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Hyperspectral and Chlorophyll Fluorescence Imaging to Analyse the Impact of Fusarium culmorum on the Photosynthetic Integrity of Infected Wheat Ears

机译:高光谱和叶绿素荧光成像分析镰刀菌对感染的麦穗光合完整性的影响

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摘要

Head blight on wheat, caused by Fusarium spp., is a serious problem for both farmers and food production due to the concomitant production of highly toxic mycotoxins in infected cereals. For selective mycotoxin analyses, information about the on-field status of infestation would be helpful. Early symptom detection directly on ears, together with the corresponding geographic position, would be important for selective harvesting. Hence, the capabilities of various digital imaging methods to detect head blight disease on winter wheat were tested. Time series of images of healthy and artificially Fusarium-infected ears were recorded with a laboratory hyperspectral imaging system (wavelength range: 400 nm to 1,000 nm). Disease-specific spectral signatures were evaluated with an imaging software. Applying the ‘Spectral Angle Mapper’ method, healthy and infected ear tissue could be clearly classified. Simultaneously, chlorophyll fluorescence imaging of healthy and infected ears, and visual rating of the severity of disease was performed. Between six and eleven days after artificial inoculation, photosynthetic efficiency of infected compared to healthy ears decreased. The severity of disease highly correlated with photosynthetic efficiency. Above an infection limit of 5% severity of disease, chlorophyll fluorescence imaging reliably recognised infected ears. With this technique, differentiation of the severity of disease was successful in steps of 10%. Depending on the quality of chosen regions of interests, hyperspectral imaging readily detects head blight 7 d after inoculation up to a severity of disease of 50%. After beginning of ripening, healthy and diseased ears were hardly distinguishable with the evaluated methods.
机译:由镰刀菌引起的小麦枯萎病对农民和粮食生产都是一个严重的问题,因为在被感染的谷物中会同时产生高毒性的霉菌毒素。对于选择性霉菌毒素分析,有关侵染现场状态的信息将很有帮助。直接在耳朵上进行早期症状检测以及相应的地理位置,对于选择性收获非常重要。因此,测试了各种数字成像方法检测冬小麦头枯萎病的能力。用实验室高光谱成像系统(波长范围:400 nm至1,000 nm)记录健康和人工感染镰刀菌的耳朵的图像的时间序列。使用成像软件评估特定疾病的光谱特征。应用“频谱角度映射器”方法,可以对健康和感染的耳朵组织进行清晰分类。同时,对健康的和感染的耳朵进行叶绿素荧光成像,并对疾病的严重程度进行目测评估。在人工接种后的六到十一天之间,与健康的耳朵相比,被感染的光合作用效率降低了。疾病的严重程度与光合作用效率高度相关。叶绿素荧光成像在疾病严重程度的5%感染极限以上,可以可靠地识别出受感染的耳朵。使用这种技术,可以以10%的步长成功区分疾病的严重程度。根据所选感兴趣区域的质量,高光谱成像可在接种至疾病严重程度达50%的7 d时轻松检测到头枯萎病。开始成熟后,用评估的方法很难区分出健康和患病的耳朵。

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