Articles
PROXIMAL AND REMOTE SENSING IN THE MONITORING OF CITRUS TRISTEZA VIRUS (CTV) INFECTED TREES: PRELIMINARY RESULTS
Article number
940_88
Pages
641 – 646
Language
English
Abstract
Citrus tristeza, caused by CTV, is the most destructive virus disease of Citrus spp. and its monitoring on a large scale is of great importance for the rapid application of control measures.
To this aim a study on proximal and remote sensing was conducted for the identification of CTV-infected trees.
The research was carried out in 2 infected commercial groves of Navelina orange located in the CTV outbreak area of Apulia Region, Italy.
The selected groves showed different virus infection rates after serological and molecular testings.
Spectral signatures of selected trees were provided by the use of the HandHeld Post Dispersive Spectrometer in order to identify the vegetation indices correlated to CTV-infected and uninfected trees; these indices were produced by the algebraic combinations of reflected or emitted energy values measured in the different bands of the electromagnetic spectrum.
Measurements highlighted a difference in the spectral signatures of CTV-positive trees with respect to the CTV-negative trees; thus, specific indices were selected for the implementation of a detection algorithm, which was applied to a processed multispectral satellite image.
The elaborated images allowed the assessment of CTV infections in relation to different grades of canopy stress.
To this aim a study on proximal and remote sensing was conducted for the identification of CTV-infected trees.
The research was carried out in 2 infected commercial groves of Navelina orange located in the CTV outbreak area of Apulia Region, Italy.
The selected groves showed different virus infection rates after serological and molecular testings.
Spectral signatures of selected trees were provided by the use of the HandHeld Post Dispersive Spectrometer in order to identify the vegetation indices correlated to CTV-infected and uninfected trees; these indices were produced by the algebraic combinations of reflected or emitted energy values measured in the different bands of the electromagnetic spectrum.
Measurements highlighted a difference in the spectral signatures of CTV-positive trees with respect to the CTV-negative trees; thus, specific indices were selected for the implementation of a detection algorithm, which was applied to a processed multispectral satellite image.
The elaborated images allowed the assessment of CTV infections in relation to different grades of canopy stress.
Authors
S. Gualano, F. Santoro, K. Djelouah, A.M. D’Onghia
Keywords
citrus, Citrus tristeza virus, DTBIA, PCR, diffuse reflectance, spectral sensing
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