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Detection of Verticillium dahliae in olive groves using canine detection units

By L. Pons Anglad a, M. dels A. Calvo Torras

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Abstract

Verticillium wilt is one of the most significant agricultural diseases in the world, in view of the fact that not only does it affect olive groves but also a wide variety of fruit, vegetable and ornamental plants. Currently, the most efficient and economical method of control involves the use of plant species that are resistant to the disease. However, as there are few varieties of olive tree with this characteristic, early diagnosis and the replacement of affected trees are key strategies to combat the disease. The present research proposes the use of a canine unit that is specifically trained to detect Verticillium dahliae as an early detection method for the fungus in olive groves. For the odorous samples are produced in the laboratory from V. dahliae, it is calculated that the dog displays a level of sensitivity of 97% and specificity of 95%, and an initial field assay shows that the sensitivity and specificity are constant when working with infected olive trees. In view of the fact that there is currently no curative treatment for this disease and the affected plants are completely lost, fast on-site detection provides significant advantages in terms of preventing the transmission of the disease. Moreover, it also enables focalized treatment to be provided on plots of land and plants and, in combination with the latest prevention methods, real-time detection of affected olive trees enables a reduction in the costs involved in vaccination, thereby contributing overall to a reduction in the financial losses caused by verticillium wilt.

Publication Title Agricultural Sciences
Volume 7
Issue 4
Pages 225-229
ISBN/ISSN 2156-8553
Language English
Author Address Departamento de Sanidad y Anatomia Animales, Facultad de Veterinaria, Universidad Autonoma de Barcelona, Campus de Bellaterra, Barcelona, Spain.lluis.ponsan@gmail.com
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Tags
  1. Angiosperms
  2. Animals
  3. Canidae
  4. Canine
  5. Carnivores
  6. Countries
  7. Detection
  8. Developed countries
  9. Diseases
  10. Dogs
  11. Europe
  12. Flowers
  13. Fungi
  14. Mammals
  15. Mediterranean region
  16. OECD countries
  17. olives
  18. Plants
  19. Spain
  20. vertebrates