Implementing reduced-risk integrated pest management in fresh-market cabbage: Influence of sampling parameters, and validation of binomial sequential sampling plans for the cabbage looper(Lepidoptera: Noctuidae)

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Abstract

Populations of cabbage looper, Trichoplusia ni (Lepidoptera: Noctuidae), were sampled in experimental plots and commercial fields of cabbage (Brasicca spp.) in Minnesota during 19981999 as part of a larger effort to implement an integrated pest management program. Using a resampling approach and the Wald's sequential probability ratio test, sampling plans with different sampling parameters were evaluated using independent presence/absence and enumerative data. Evaluations and comparisons of the different sampling plans were made based on the operating characteristic and average sample number functions generated for each plan and through the use of a decision probability matrix. Values for upper and lower decision boundaries, sequential error rates (α,β ), and tally threshold were modified to determine parameter influence on the operating characteristic and average sample number functions. The following parameters resulted in the most desirable operating characteristic and average sample number functions; action threshold of 0.1 proportion of plants infested, tally threshold of 1,α = β= 0.1, upper boundary of 0.15, lower boundary of 0.05, and resampling with replacement. We found that sampling parameters can be modified and evaluated using resampling software to achieve desirable operating characteristic and average sample number functions. Moreover, management of T. ni by using binomial sequential sampling should provide a good balance between cost and reliability by minimizing sample size and maintaining a high level of correct decisions (>95%) to treat or not treat.

Original languageEnglish (US)
Pages (from-to)1874-1883
Number of pages10
JournalJournal of economic entomology
Volume102
Issue number5
DOIs
StatePublished - Oct 1 2009

Keywords

  • Decision probability matrix
  • Parameter selection
  • Resampling software
  • Trichoplusia ni

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