Abstract
The development and evaluation of appropriate sampling plans are needed for cost-effective management of stored-product insects. Sequential sampling plans, which are based on a variable sample size, are generally more cost effective than plans based on a fixed sample size. For adults of the rusty grain beetle, Cryptolestes ferrugineus (Stephens), we developed sequential sampling plans based on complete counts and the presence/absence of insects in 0.5 kg grain samples removed with a trier from the top 1 m of wheat stored in farm bins. Insect count data were used to develop a sampling plan for estimating the density of C. ferrugineus with a fixed level of precision. The presence/absence data were used to develop a sampling plan for classifying the C. ferrugineus infestation level relative to an action threshold. The performance of these sampling plans was evaluated (validated) using independent data sets anti an IBM-PC software program specifically designed to test the plans. This is the first paper illustrating the development and evaluation of sequential sampling plans for a stored-product insect.
Original language | English (US) |
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Pages (from-to) | 321-329 |
Number of pages | 9 |
Journal | Journal of Stored Products Research |
Volume | 33 |
Issue number | 4 |
DOIs | |
State | Published - Oct 1997 |
Keywords
- Binomial sampling
- Computer simulations
- Density estimation
- Pest control decisions
- Rusty grain beetle