Detection of plum pox virus infection in selection plum trees using spectral imaging

Liliya Angelova; Antoniy Stoev; Ekaterina Borisova; Latchezar Avramov

doi:10.1117/12.2261807

5 January 2017 Detection of plum pox virus infection in selection plum trees using spectral imaging

Liliya Angelova, Antoniy Stoev, Ekaterina Borisova, Latchezar Avramov

Proceedings Volume 10226, 19th International Conference and School on Quantum Electronics: Laser Physics and Applications; 1022614 (2017) https://doi.org/10.1117/12.2261807
Event: International Conference and School on Quantum Electronics "Laser Physics and Applications" - ICSQE 2016, 2016, Sozopol, Bulgaria

Abstract

Plum pox virus (PPV) is among the most studied viral diseases in the world in plants. It is considered to be one of the most devastating diseases of stone fruits in terms of agronomic impact and economic importance. Noninvasive, fast and reliable techniques are required for evaluation of the pathology in selection trees with economic impact. Such advanced tools for PPV detection could be optical techniques as light-induced fluorescence and diffuse reflectance spectroscopies. Specific regions in the electromagnetic spectra have been found to provide information about the physiological stress in plants, and consequently, diseased plants usually exhibit different spectral signature than non-stressed healthy plants in those specific ranges.

In this study spectral reflectance and chlorophyll fluorescence were used for the identification of biotic stress caused by the pox virus on plum trees. The spectral responses of healthy and infected leaves from cultivars, which are widespread in Bulgaria were investigated. The two applied techniques revealed statistically significant differences between the spectral data of healthy plum leaves and those infected by PPV in the visible and near-infrared spectral ranges. Their application for biotic stress detection helps in monitoring diseases in plants using the different plant spectral properties in these spectral ranges. The strong relationship between the results indicates the applicability of diffuse reflectance and fluorescence techniques for conducting health condition assessments of vegetation and their importance for plant protection practices.

Citation Download Citation

Liliya Angelova, Antoniy Stoev, Ekaterina Borisova, and Latchezar Avramov "Detection of plum pox virus infection in selection plum trees using spectral imaging", Proc. SPIE 10226, 19th International Conference and School on Quantum Electronics: Laser Physics and Applications, 1022614 (5 January 2017); https://doi.org/10.1117/12.2261807

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