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Modelling selection for resistance to methods of insect pest control in combination
Author(s) -
Barclay Hugh J.
Publication year - 1996
Publication title -
population ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 59
eISSN - 1438-390X
pISSN - 1438-3896
DOI - 10.1007/bf02514973
Subject(s) - biology , dacus , pest analysis , selection (genetic algorithm) , resistance (ecology) , pest control , pheromone , population , ecology , toxicology , microbiology and biotechnology , botany , computer science , tephritidae , artificial intelligence , demography , sociology
The development of resistance to insecticides is now widespread among insects. Other methods of pest control are also potentially at risk of encountering resistance. A modelling approach is presented here to evaluate the effects of combining methods of insect pest control on the selection for resistance to the control methods. This analysis is based on partitioning the total mortality acting on a population into its constituent components from all known sources, and these are related to selection for resistance. When two control methods are used in combination, selection for resistance against the two is a linear function if the two don't interact, otherwise it may be sublinear or supralinear. A specific example is presented using a model of the Olive fruit fly ( Dacus oleae Gmel.) and employing food‐baited and pheromone‐baited traps for control. The control methods that appear least likely to encounter resistance are natural enemies and the use of pheromone traps for male annihilation. These should be integrated into a control program where possible to minimize the development of resistance to other control methods being used.