Practical scouting plans are described that categorize the economic status of the alfalfa snout beetle, Otiorhynchus ligustici (L.), from direct visual counts of adults during 30-min field inspections. Plans were derived by fixing field-sampling time requirements as a linear function of beetle density and computing with the t statistic the probability that true mean beetle density μ differs from the economic injury level, given estimated mean beetle density (x) from field scouting. Consequences of classification errors are stated as probability of financial gains and losses to dairy farmers. Worst-case yield loss scenarios are presented as a simple decision aid that dairy farmers can consult to minimize the probability of catastrophic losses. Survey and detection plans are derived from a geometric series for Poisson frequencies of beetle occurrence; plans can be used by regulatory personnel to identify the probability of detecting beetle infestations when field inspection is restricted to arbitrary time limits. General guidelines for implementing both sampling plans are discussed. Concurrent studies of alfalfa snout beetle population dispersion detected aggregation among soilborne larvae as well as among beetles emerging from soil overwintering sites. In contrast, dispersion of beetles on the soil surface following spring emergence was random.
Read full abstract