Annals of Applied Biology (2020) 176, 102-108

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Michael J. McLeish, Aurora Fraile and Fernando García-Arenal (2020)
Trends and gaps in forecasting plant virus disease risk
Annals of Applied Biology 176 (2), 102-108
Abstract: Control strategies for plant viruses cannot eradicate widespread outbreaks of disease, or the emergence of new ones. Most of the reported emerging diseases of plants are caused by viruses, which stresses the need to model and forecast plant virus disease risk. High-throughput sequencing technologies are one of many sources driving the generation of big data, and they are now inspiring investigations that promise a deeper understanding of what organises complex disease systems.
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Database assignments for author(s): Michael J. McLeish, Aurora Fraile, Fernando Garcia-Arenal

Research topic(s) for pests/diseases/weeds:

Pest and/or beneficial records:

Beneficial Pest/Disease/Weed Crop/Product Country Quarant.
Potato virus Y
Cucumber mosaic virus
Bean yellow mosaic virus
Orthotospovirus tomatomaculae
Zucchini yellow mosaic virus
Alfalfa mosaic virus
Lettuce mosaic virus
Papaya ringspot virus
Turnip mosaic virus
Watermelon mosaic virus
Beet western yellows virus