Visual Analysis for Detection and Quantification ofPseudomonas cichorii Disease Severity in Tomato Plants

• Published in: The plant pathology journal 2016, 32(4), , pp.300-310
• Main Authors: Dhinesh Kumar Rajendran, 박은수, Rajalingam Nagendran, Nguyen Bao Hung, 조병관, 김경환, 이용훈
• Format: Article
• Language: English
• Subjects: 농학
• ISSN: 1598-2254; 2093-9280

Pathogen infection in plants induces complex respons-es ranging from gene expression to metabolic process-es in infected plants. In spite of many studies on biotic stress-related changes in host plants, little is known about the metabolic and phenotypic responses of the host plants to Pseudomonas cichorii infection based on image-based analysis. To investigate alterations in tomato plants according to disease severity, we inocu-lated plants with different cell densities of P. cichorii using dipping and syringe infiltrationmethods. High-dose inocula (≥ 106 cfu/ml) induced evident necrotic lesions within one day that corresponded to bacterial growth in the infected tissues. Among the chlorophyll fluorescence parameters analyzed, changes in quan-tum yield of PSII (ΦPSII) and non-photochemical quenching (NPQ) preceded the appearance of visible symptoms, but maximum quantum effciency of PSII (Fv/Fm) was altered well after symptom development. Visible/near infrared and chlorophyll fluoescence hy-perspectral images detected changes before symptom appearance at low-density inoculation. The results of this study indicate that the P. cichorii infection sever-ity can be detected by chlorophyll fluoescence assay and hyperspectral images prior to the onset of visible symptoms, indicating the feasibility of early detection of diseases. However, to detect disease development by hyperspectral imaging, more detailed protocols and analyses are necessary. Taken together, change in chlorophyll fluoescence is a good parameter for early detection of P. cichorii infection in tomato plants. In addition, image-based visualization of infection sever-ity before visual damage appearance will contribute to effective management of plant diseases. KCI Citation Count: 0