Management decisions in many alfalfa integrated pest management programs are based on a single 30-stem sample estimate of the alfalfa weevil, Hypera postica (Gyllenhal), larval population. Repeated 30-stem samples were taken from five fields under a variety of stand conditions over a 2-yr period to calculate the variance/mean relationship with Taylor's power law. A computer simulation was used to estimate the proportion of single-sample estimates that underestimate (fail to spray) or overestimate (spray unnecessarily) a known population mean in relation to an economic threshold. Management-decision errors were found to increase significantly as the population mean neared the threshold.
Document Type: Research Article
Publication date: April 1, 1987
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Journal of Economic Entomology is published bimonthly in February, April, June, August, October, and December. The journal publishes articles on the economic significance of insects and is divided into the following sections: apiculture & social insects; arthropods in relation to plant disease; forum; insecticide resistance and resistance management; ecotoxicology; biological and microbial control; ecology and behavior; sampling and biostatistics; household and structural insects; medical entomology; molecular entomology; veterinary entomology; forest entomology; horticultural entomology; field and forage crops, and small grains; stored-product; commodity treatment and quarantine entomology; and plant resistance. In addition to research papers, Journal of Economic Entomology publishes Letters to the Editor, interpretive articles in a Forum section, Short Communications, Rapid Communications, and Book Reviews.