Annals of Applied Biology (2020) 176, 102-108
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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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Full text of article
Database assignments for author(s): Michael J. McLeish, Aurora Fraile, Fernando Garcia-Arenal
Research topic(s) for pests/diseases/weeds:
review
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 |
