Abstract
Taylor’s power law and Iwao’s patchiness regression were used to determine the relationship between the mean and variance of leafminer counts obtained from yellow sticky traps and pupal trays in fresh market tomatoes. Taylor’s regression method provided a better fit at low mean densities of adults. Unlike Iwao’s technique, there were no significant differences between Taylor’s regression slopes or Y intercepts for Liriomyza sativae Blanchard and L. trifolii (Burgess) numbers on sticky traps during the growing seasons of 1981 and 1982. Constant-precision-level sequential sampling plans, therefore, were developed for leafminer adult and pupal stages based on Taylor’s power law. The minimum number of traps that must be counted to estimate various mean densities of adult leafminers at fixed levels of precision also were calculated.

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