Identification of powdery mildew (Erysiphe graminis sp tritici) and take-all disease (Gaeumannomyces graminis sp tritici) in wheat (Triticum aestivum L.) by means of leaf reflectance measurements

Graeff, S.; Link, J.; Claupein, W.

Central European Journal of Biology 1(2): 275-288


ISSN/ISBN: 1895-104X
DOI: 10.2478/s11535-006-0020-8
Accession: 013732418

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The ability to identify diseases in an early infection stage and to accurately quantify the severity of infection is crucial in plant disease assessment and management. A greenhouse study was conducted to assess changes in leaf spectral reflectance of wheat plants during infection by powdery mildew and take-all disease to evaluate leaf reflectance measurements as a tool to identify and quantify disease severity and to discriminate between different diseases. Wheat plants were inoculated under controlled conditions in different intensities either with powdery mildew or take-all. Leaf reflectance was measured with a digital imager (Leica S1 Pro, Leica, Germany) under controlled light conditions in various wavelength ranges covering the visible and the near-infrared spectra (380 - 1300 nm). Leaf scans were evaluated by means of L*a*b*-color system. Visual estimates of disease severity were made for each of the epidemics daily from the onset of visible symptoms to maximum disease severity. Reflectance within the ranges of 490780 nm (r(2) = 0.69), 510(780)nm (r(2) = 0.74), 516(1300)nm (r(2) = 0.62) and 540(1300) nm (r(2) = 0.60) exhibited the strongest relationship with infection levels of both powdery mildew and take-all disease. Among the evaluated spectra the range of 490(780)nm showed most sensitive response to damage caused by powdery mildew and take-all infestation. The results of this study indicated that disease detection and discrimination by means of reflectance measurements may be realized by the use of specific wavelength ranges. Further studies have to be carried out, to discriminate powdery mildew and take-all infection from other plant stress factors in order to develop suitable decision support systems for site-specific fungicide application. (c) Versita Warsaw and Springer-Verlag Berlin Heidelberg. All rights reserved.