Related Experiment Video
Updated: Aug 12, 2025

07:13
Sampling for Estimating Frankliniella Species Flower Thrips and Orius Species Predators in Field Experiments
Published on: July 17, 2019
9.3K
Sequential Sampling Plans for Thrips (Thysanoptera: Thripidae) in Soybean Crops With Insecticide Applications Using
Daniel Victor Chaves Neves1, Mayara Cristina Lopes2, Poliana Silvestre Pereira3
1Universidade Federal de Viçosa, Departamento de Entomologia, Avenida Peter Henry Rolfs, Viçosa, MG, 36570-900, Brazil.
Journal of Economic Entomology
|January 30, 2023
Summary
Sequential sampling plans for thrips in soybean crops were developed for tractor and airplane insecticide applications. These plans reduce sampling effort by over 87%, enabling efficient integrated pest management.
Area of Science:
- Agricultural Entomology
- Pest Management
Background:
- Thrips pose a significant threat to soybean crops, necessitating effective pest management strategies.
- Chemical control, primarily through insecticides applied via tractor or airplane, is the main approach for managing thrips in soybeans.
Purpose of the Study:
- To develop and validate sequential sampling plans for thrips in soybean fields.
- To compare sampling plans based on insecticide application methods (tractor vs. airplane).
Main Methods:
- Data collection across 56 soybean fields (20 ha each).
- Determination and validation of sequential sampling plan parameters (m0, m1, S, h0, h1) for both application methods.
- Evaluation of sampling effort reduction compared to conventional methods.
Main Results:
- Specific lower (m0) and upper (m1) limits were defined for tractor (m0=1.72, m1=3.43) and airplane (m0=2.27, m1=4.53) applications.
- Sequential sampling plan parameters (S, h0, h1) were established for each application method.
- Correct pest control decisions were achieved with a maximum of 10 samples, reducing sampling effort by over 87%.
Conclusions:
- Sequential sampling plans are feasible and advantageous for integrated pest management of thrips in soybean crops.
- These plans significantly reduce sampling effort and improve decision-making efficiency for pest control.

