Jones, R A C and Salam, M U and Maling, T J and et al, . (2010) Principles of Predicting Plant Virus Disease Epidemics. Annu. Rev. Phytopathol., 48. pp. 179-203.
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Abstract
Predicting epidemics of plant virus disease constitutes a challenging undertaking due to the complexity of the three-cornered pathosystems (virus, vector, and host) involved and their interactionswith the environment. A complicated nomenclature is used to describe virus epidemiological models. This review explains how the nomenclature evolved and provides a historical account of the development of such models. The process and steps involved in devising models that incorporate weather variables and data retrieval and are able to forecast plant virus epidemics effectively are explained. Their application to provide user-friendly, Internet-based decision support systems (DSSs) that determine when and where control measures are needed is described. Finally, case studies are provided of eight pathosystems representing different scenarios in which modeling approaches have been used with varying degrees of effectiveness to forecast virus epidemics in parts of the world with temperate, Mediterranean, subtropical, and tropical climates.
| Item Type: | Article |
|---|---|
| Additional Information: | We thank Gail Burchell for help with references and the Australian Grains Research and Development Corporation for financial support. |
| Uncontrolled Keywords: | quantitative epidemiology, modeling, forecasting, weather variables, decision support, Internet delivery |
| Author Affiliation: | Department of Agriculture and Food, South Perth,Western Australia 6151, Australia |
| Subjects: | Plant Protection |
| Divisions: | General |
| Depositing User: | Mr Siva Shankar |
| Date Deposited: | 24 Apr 2012 06:35 |
| Last Modified: | 24 Apr 2012 06:35 |
| Official URL: | http://dx.doi.org/10.1146/annurev-phyto-073009–114... |
| URI: | http://eprints.icrisat.ac.in/id/eprint/4932 |
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