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Development and Evaluation of a Computerized Forecasting Method for Cercospora Leafspot of Peanuts. D. W. Parvin, Jr., Assistant Professor, Department of Agricultural Economics, University of Georgia, College of Agriculture Experiment Stations, Georgia Station, Experiment 30212, Present address: Associate Professor of Agricultural Economics and Experimental Statistics, Mississippi State University, Mississippi State 39762; D. H. Smith(2), and F. L. Crosby(3). (2)(3)Assistant Professor of Plant Pathology, Georgia Station, Agricultural Meteorologist, NOAA, NWS, Georgia Station, (2)Present address: Associate Professor of Plant Pathology, Texas A&M University, Plant Disease Research Station, Yoakum 77995; (3)Present address: Principal Assistant, NOAA, NWS, Federal-State Agricultural Weather Service, Lakeland, Florida 33802. Phytopathology 64:385-388. Accepted for publication 1 October 1973. DOI: 10.1094/Phyto-64-385.

A computer program for producing a worded daily peanut leafspot spray advisory was developed and compared with advisories issued by a National Weather Service agricultural meteorologist over a period of 3 yr. With the exception of a few marginal cases, the computerized and manually prepared advisories were identical. The advisory enables peanut growers to obtain maximum disease control with a minimum amount of fungicide.

Additional keywords: Arachis hypogaea, Cercospora arachidicola, epidemiology.