ORIGINAL ARTICLE
Detection of significant wavelengths for identifying and classifying Fusarium oxysporum during the incubation period and water stress in Solanum lycopersicum plants using reflectance spectroscopy
| 1 | Departamento de Ciencias Agronómicas, Universidad Nacional de Colombia, Facultad de Ciencias Agrícolas, Medellín, Colombia |
| 2 | Departamento de Geociencias y Medio Ambiente, Universidad Nacional de Colombia, Facultad de Minas, Medellín, Colombia |
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article
CORRESPONDING AUTHOR
Juan Carlos Marín Ortiz
Departamento de Ciencias Agronómicas, Universidad Nacional de Colombia, Facultad de Ciencias Agrícolas, Medellín, Colombia
Departamento de Ciencias Agronómicas, Universidad Nacional de Colombia, Facultad de Ciencias Agrícolas, Medellín, Colombia
Online publish date: 2019-07-18
Submission date: 2019-01-03
Acceptance date: 2019-06-18
Journal of Plant Protection Research 2019;59(2):244–254
KEYWORDS
TOPICS
ABSTRACT
Spectroscopy has become one of the most used non-invasive methods to detect plant diseases
before symptoms are visible. In this study it was possible to characterize the spectral
variation in leaves of Solanum lycopersicum L. infected with Fusarium oxysporum during
the incubation period. It was also possible to identify the relevant specific wavelengths in
the range of 380–1000 nm that can be used as spectral signatures for the detection and
discrimination of vascular wilt in S. lycopersicum. It was observed that inoculated tomato
plants increased their reflectance in the visible range (Vis) and decreased slowly in the near
infrared range (NIR) measured during incubation, showing marked differences with plants
subjected to water stress in the Vis/NIR. Additionally, three ranges were found in the spectrum
related to infection by F. oxysporum (510–520 nm, 650–670 nm, 700–750 nm). Linear
discriminant models on spectral reflectance data were able to differentiate between tomato
varieties inoculated with F. oxysporum from healthy ones with accuracies higher than 70%
9 days after inoculation. The results showed the potential of reflectance spectroscopy to discriminate
plants inoculated with F. oxysporum from healthy ones as well as those subjected
to water stress in the incubation period of the disease.
CONFLICT OF INTEREST
The authors have declared that no conflict of interests exist.
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