Abstract
Sampling programs for the sweet potato weevil, Cylas jormicarius elegantulus (Summers), were developed for 0.2-ha and 0.4-ha plots of sweet potato (Ipomoea batatas (L.) Lam.). Taylor’s power law was fit to data on spatial dispersion of sweet potato weevil, and results were used to develop relationships between numbers of sample units and levels of precision for selected mean densities per plant. Results were similar whether the sample unit was the whole plant or a region from 15 cm below to 10 cm above the crown. Total numbers of weevils in the whole-plant samples were linearly related with numbers in the subsample (region from 15 cm below to 10 cm above the crown). Spatial statistics indicated that weevil populations were aggregated. The numbers of plant samples (whole-plant or region of plant) needed to estimate weevil populations reliably were too high and required too much time to be practical. A sequential sampling program that might decrease sampling time and effort was developed to classify populations into critical densities.
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