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Laser-induced fluorescence spectroscopy for early disease detection in grapefruit plants

DOI:10.1039/C9PP00368A 期刊:Photochemical & Photobiological Sciences 出版年份:2020 更新时间:2025-09-19 17:13:59
摘要: Both biotic and abiotic stress causes considerable decrease in chlorophyll content in plant leaves which provide the means of early disease diagnosis. The emergence of disease affects the fluorescence of phenolic compounds and chlorophyll which have been appeared at 530, 686 and 735 nm. It has been found that the intensity of emission band of phenolic compounds at 530 nm increases and that of chlorophyll at 735 nm decreases with the onset of disease. Statistical analysis through principal component analysis (PCA) and partial least square regression (PLSR) has been performed which demonstrated the classification of apparently healthy leaf sites with diseased ones which provide the basis for the detection of disease at early stages. PLSR model was validated through the coefficient of determination (R2), standard error of prediction (SEP) and standard error of calibration (SEC) with the values 0.99, 0.394 and 0.401 which authenticated the model. The prediction accuracy of the model was evaluated through root mean square error in prediction (RMSEP) of 0.14 by predicting 22 unknown emission spectra of different leaf sites. Both PCA and PLSR models produced similar results and proved fluorescence spectroscopy as an excellent tool for early disease detection in plants.
作者: M. Saleem,Babar Manzoor Atta,Zulfiqar Ali,M. Bilal
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The aim of the current study was to explore the laser-induced fluorescence signatures in grapefruit plant leaves to evaluate the effect of citrus canker on its chlorophyll emission spectra. This might help in discriminating the citrus canker infected diseased leaves from healthy ones and it may ultimately assist in early detection of disease.

The attack of citrus canker disease on grapefruit plant leaves mainly affects the chlorophyll emission band at 735 nm, which is produced in plant leaves through photosystem PSI, a pigment-protein complex involved in the initial stages of photosynthesis. In addition, the commencing of disease also increases the phenolic compounds which appeared at 530 nm. These two spectroscopic parameters form the basis for the detection of early onset of citrus canker disease. Therefore, the emission bands at 530 for phenolic compounds and 735 nm for chlorophyll may be considered as biomarkers for the detection of onset of disease. Both statistical techniques PCA and PLSR have successfully classified the healthy and diseased sites on plant leaves for the demonstration of early disease detection.

The study focused on the detection of citrus canker disease on grapefruit plant leaves using fluorescence spectroscopy. The limitations include the specificity of the disease and plant type, and the need for further validation in different environmental conditions and with other plant diseases.

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