Temperature management of the maize weevil, Sitophilus zeamais Motsch. (Coleoptera: Curculionidae), in three locations in the United States

A new simulation model was used to quantify the effect of eight common stored maize management practices on dry matter loss and Sitophilus zeamais Motsch. development using ambient weather conditions for Indianapolis, Indiana; Columbia, South Carolina; and Amarillo, Texas. For each location, good, normal, and poor storage years were identified and evaluated. No aeration was found to be ineffective and undesirable for control of dry matter loss and S. zeamais development in all situations. Fall-chilled aeration proved to be the most effective aeration strategy for all locations and years. However, Indianapolis showed the least benefit compared to ambient fall aeration, while Columbia benefited most. Although only continuous ambient fall aeration was investigated, the results showed that controlling the aeration process holds promise in optimizing this technique. The use of spring warm-up aeration increased the rate of quality deterioration while summer rechilling improved insect control with little increase in dry matter loss. A combination of controlled ambient aeration in the fall and chilled aeration during summer storage has significant potential as a non-chemical preventative pest management technique for all locations and years. Residual pesticides and fumigation of properly cooled maize storages should not be necessary in the United States.

[1]  Thomas J. Manetsch,et al.  Time-Varying Distributed Delays and Their Use in Aggregative Models of Large Systems , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  R. L. Stroshine,et al.  Effects of hybrid and grain damage on estimated dry matter loss for high-moisture shelled corn. , 1990 .

[3]  Clyde M. Christensen,et al.  Storage of Cereal Grains and Their Products , 1982 .

[4]  J. Throne Life history of immature maize weevils (Coleoptera: Curculionidae) on corn stored at constant temperatures and relative humidities in the laboratory. , 1994 .

[5]  F. Segrove Oviposition Behaviour in the Two Strains of the Rice Weevil, Calandra Oryzae Linn. (Coleopt., Curculionidae) , 1951 .

[6]  W. E. Muir,et al.  Computer simulation modelling for stored-grain pest management , 1992 .

[7]  N. J. Burrell,et al.  Cooling bulk grain in the British climate to control storage insects and to improve keeping quality , 1964 .

[8]  L. Birch,et al.  Experimental Background to the Study of the Distribution and Abundance of Insects: I. The Influence of Temperature, Moisture and Food on the Innate Capacity for Increase of Three Grain Beetles , 1953 .

[9]  J. L. Parry,et al.  Mathematical modelling and computer simulation of heat and mass transfer in agricultural grain drying: A review , 1985 .

[10]  R. A. Saul,et al.  Deterioration of Shelled Corn as Measured by Carbon Dioxide Production , 1969 .

[11]  D. Hagstrum,et al.  Stored grain advisor: A knowledge-based system for management of insect pests of stored grain , 1990 .

[12]  Digvir S. Jayas,et al.  THREE-DIMENSIONAL, FINITE ELEMENT, HEAT TRANSFER MODEL OF TEMPERATURE DISTRIBUTION IN GRAIN STORAGE BINS , 1990 .

[13]  R. Mills,et al.  Influence of medium and physical disturbances during rearing on development and numbers of Sitophilus progeny , 1979 .

[14]  Thomas L. Thompson,et al.  Temporary Storage of High-Moisture Shelled Corn Using Continuous Aeration , 1972 .