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Sampling Plans

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...

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Related Experiment Video

Updated: Nov 7, 2025

Sampling for Estimating Frankliniella Species Flower Thrips and Orius Species Predators in Field Experiments

Sampling for Estimating Frankliniella Species Flower Thrips and Orius Species Predators in Field Experiments

Published on: July 17, 2019

Sequential and Binomial Sampling Plans to Estimate Thrips tabaci Population Density on Onion.

Lauro Soto-Rojas¹, Esteban Rodríguez-Leyva¹, Néstor Bautista-Martínez¹

¹Colegio de Postgraduados, Posgrado en Fitosanidad-Entomología y Acarología, Montecillo, Texcoco 56230, Estado de Mexico, Mexico.

|April 30, 2021

Summary

New sampling methods for onion thrips (Thrips tabaci) significantly reduce time and improve precision. These efficient techniques support integrated pest management strategies for this global pest.

Keywords:

Taylor’s Power Law integrated pest management sampling methods spatial distribution

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Published on: November 1, 2017

Area of Science:

Agricultural Entomology
Pest Management

Background:

Thrips tabaci is a significant global onion pest, causing 10-60% economic losses.
Efficient population sampling is crucial for effective control and damage prevention.

Purpose of the Study:

To develop and validate binomial and sequential sampling plans for rapid and reliable estimation of Thrips tabaci density in onions.

Main Methods:

Characterized spatial distribution of Thrips tabaci using Taylor's power law.
Developed binomial and sequential sampling plans at precision levels of 0.10, 0.15, and 0.25.
Validated sampling plans using bootstrap simulations on 10 independent datasets.

Main Results:

Both binomial and sequential sampling plans reduced sampling time by approximately 80% compared to conventional methods.
Sequential sampling demonstrated satisfactory precision in all repetitions.
Binomial sampling achieved the fixed precision level in 80% of cases.

Conclusions:

Developed binomial and sequential sampling plans offer precise and time-efficient estimation of Thrips tabaci populations.
These methods are valuable tools for implementing integrated pest management strategies against onion thrips.