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Related Experiment Video

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Sampling for Estimating Frankliniella Species Flower Thrips and Orius Species Predators in Field Experiments
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Sampling plan for Thrips (Thysanoptera: Thripidae) on cucumber.

Leandro Bacci1, Marcelo C Picanço, Marcelo F Moura

  • 1Depto. Biologia Animal, Univ. Federal de Viçosa, Viçosa, MG, 36570-000. bacci@pq.cnpq.br

Neotropical Entomology
|December 9, 2008
PubMed
Summary
This summary is machine-generated.

Developing an effective sampling plan for cucumber pests Frankliniella schultzei and Thrips palmi is crucial. Direct counting on the upper canopy is recommended for both species to optimize pest management strategies.

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Area of Science:

  • Agricultural Entomology
  • Crop Protection Science
  • Pest Management Research

Background:

  • Thrips, including Frankliniella schultzei and Thrips palmi, are significant pests of cucumber crops worldwide.
  • Accurate population assessment is essential for timely and effective pest management decisions.

Purpose of the Study:

  • To determine the optimal sampling technique, unit, and sample size for Frankliniella schultzei and Thrips palmi in cucumber.
  • To develop a robust sampling plan for efficient thrips population monitoring in commercial cucumber production.

Main Methods:

  • Comparison of three sampling techniques: leaf beating, direct counting, and whole leaf collection.
  • Evaluation of three sampling units: apical, median, and basal leaf thirds of the cucumber canopy.
  • Determination of sample size based on relative variance and economic precision.

Main Results:

  • Direct counting on the apical leaf third was optimal for Frankliniella schultzei (38 plants/field).
  • Leaf beating on a tray was optimal for Thrips palmi (35 plants/field).
  • Direct counting on the apical leaf third (35 plants/field) was the best system for both species combined.

Conclusions:

  • The study provides a validated sampling plan for thrips in cucumber, enhancing management decisions.
  • Optimized sampling reduces the risk of incorrect pest management choices and supports population reduction strategies.