Development and Validation of a Fixed-Precision Sampling Plan for Estimating Striped Cucumber Beetle (Coleoptera: Chrysomelidae) Density in Cucurbits

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Abstract

The striped cucumber beetle, Acalymma vittatum (F.), has been identified as one of the most damaging insect pests of vegetables in Minnesota. In an effort to develop practical methods for estimating adult beetle density, beetles were sampled in cucurbit fields throughout central and southern Minnesota during 1994-1995. A. vittatum samples were collected in several cucurbit crops including cucumber, pumpkin, and squash. A sample unit consisted of 7 consecutive plants within a row. Beetle counts were recorded for each of the 7 plants in a sample unit and the sample size consisted of a total of 48 sample units in each field. Counts from individual plants in a sample unit were combined to evaluate progressively larger sample units of 1, 2, . . . 7 consecutive plants. An enumerative fixed-precision sampling plan was developed based on Green's method and the Taylor power law. Performance of the plan was validated using bootstrap (resampling) simulations and 9 independent data sets. Final analysis indicated that a sample unit of 2 consecutive plants provided the highest relative net precision (RNP) for estimating A. vittatum adult density. On average, over a range of densities, thirty 2-plant sample units per field were necessary to maintain the desired precision (SEM/x̄) level of 0.25. This plan should aid further research on A. vittatum population dynamics, the yield-density relationship, or the correlation between density and incidence of bacterial wilt. This plan also can be used in tandem with recently developed economic thresholds for pest management decision making.

Original languageEnglish (US)
Pages (from-to)178-183
Number of pages6
JournalEnvironmental entomology
Volume27
Issue number2
DOIs
StatePublished - Apr 1998

Keywords

  • Acalymma vittatum
  • Boot-strap simulation
  • Cucurbits
  • Enumerative sampling
  • Relative net precision
  • Resampling software

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