Taking and Testing GOODSamples: A Systematic Approach for Representative Sampling from Field to Test Portion
DOI:
https://doi.org/10.21423/JRS-V04N02P001Keywords:
Sampling, sample, primary sample, laboratory sample, sample preparation, theory of sampling, sample quality criteria, global estimation error, representative sampleAbstract
- The following manuscript provides a brief introduction to a systematic approach for representative sampling from field to test portion
- Sampling from field to test portion is a single measurement process
- Error is introduced during each mass reduction stage
- Error propagates as the square root of the sum of squares, so the largest error components have a proportionately greater impact
- A representative sample must be correct (unbiased) and have suciently small imprecision
- The systematic approach for developing a sampling protocol is based on two key inputs: sample quality criteria (SQC) and material properties
- This approach requires knowledge of the total error in the measurement process (global estimation error or GEE), from primary sampling through final measurement
- Error is estimated through quality control events
- If the GEE meets the requirements of the SQC, a confident inference can be made
- GOODSamples can be a valuable tool for the forage and feed communities to evaluate current practices and to develop new protocols
References
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