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Verticillium Wilt of Olive and Its Control: What Did We Learn during the Last Decade?

期刊

PLANTS-BASEL
卷 9, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/plants9060735

关键词

biological control agents; breeding for resistance; defoliating and non-defoliating; integrated disease management; Olea europaea; organic amendments; pathogen detection; soil microbiota; vascular disease; Verticillium dahliae

资金

  1. Spanish Ministerio de Economia, Industria y Competitividad/Agencia Estatal de Investigacion [AGL2016-75729-C2-1-R]
  2. Junta de Andalucia (Consejeria de Economia, Innovacion y Ciencia) [P12-AGR-0667]
  3. European Regional Development Fund (ERDF)

向作者/读者索取更多资源

Verticillium (Verticillium dahliaeKleb.) wilt is one of the most devastating diseases affecting olive (Olea europaeaL. subsp.europaeavar.europaea) cultivation. Its effective control strongly relies on integrated management strategies. Olive cultivation systems are experiencing important changes (e.g., high-density orchards, etc.) aiming at improving productivity. The impact of these changes on soil biology and the incidence/severity of olive pests and diseases has not yet been sufficiently evaluated. A comprehensive understanding of the biology of the pathogen and its populations, the epidemiological factors contributing to exacerbating the disease, the underlying mechanisms of tolerance/resistance, and the involvement of the olive-associated microbiota in the tree's health is needed. This knowledge will be instrumental to developing more effective control measures to confront the disease in regions where the pathogen is present, or to exclude it fromV. dahliae-free areas. This review compiles the most recent advances achieved to understand the olive-V. dahliaeinteraction as well as measures to control the disease. Aspects such as the molecular basis of the host-pathogen interaction, the identification of new biocontrol agents, the implementation of -omics approaches to unravel the basis of disease tolerance, and the utilization of remote sensing technology for the early detection of pathogen attacks are highlighted.

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