Abstract
When plant disease control chemicals are partially effective, an epidemiologic analysis of antifungal action may be needed. The life table method is advocated to this purpose. It permits a complete analysis of a monocyclic experiment, and it predicts the maximum relative growth rate of the fungal population in a polycyclic field situation. The life table method, which also determines age-dependent effects of disease control chemicals, can be adapted for use in computer simulation models of plant disease epidemics. An example of the life table method is given comparing a cultivar of wheat resistant to Puccinia recondita (the ‘treated’) with one susceptible (the ‘untreated’) to brown leaf rust of wheat (Triticum aestivum).
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