Optimal Integrated Control of Alfalfa Weevil, Hypera postica (Gyllenhal) (Coleoptera: Curculionidae)1)

Abstract The use of optimization methods to determine single and multidimensional economic thresholds for insect pests in discussed. A review of previous applications of optimization methods to pest management problems is followed || by a detailed description of an application to alfalfa weevil management. This model uses dynamic programming to determine the best combination of chemical, cultural and biological means for control of the alfalfa– weevil. The model includes stochastically varying weather patterns, seven weevil age–classes, three parasite age–classes, and five alfalfa plant components. The decision variables include times of harvest and insecticide applications over a three–year period. The multi–dimensional economic thresholds calculated depend upon parasite density and weather, as well as upon alfalfa–weevil density. Results for central New York, USA, are presented.