A Computer Simulation Model for Cercospora Leaf Spot of Peanut

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Abstract
A computer simulation model was developed to predict disease progression of Cercospora leaf spot of peanut (causal agents: Cercospora arachidicola and Cercosporidium personatum). The model was derived in part from an adivsory system used for fungicide scheduling in North Carolina and Virginia. Basic infection rate was modeled as a function of hours of relative humidity > 95%, minimum temperature during the period of high humidity, amount of infectious tissue, and proportion of uninfected tissue remaining. Latent and infectious periods were treatment as distributed delay processes, and host plant growth (increase in leaflet number) was described as a logistic process. The model was validated using independent weather and disease severity data from field trials with peanut [Arachis hypogaeaL.] cultivar Florigiant, in which C. arachidicola was the predominant pathogen. Simulated disease progress curves and periods of rapid disease increase were similar to those observed in field trials. The model effectively ranked four epidemics in terms of end-of-season disease severity and area under the disease progress curve.

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