Handling errors in the response: Considerations for leveraging unsupervised or incomplete data for genetic evaluations
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Accurate genetic evaluations rely on high-quality phenotypic data; however, measurement errors and data inconsistencies-such as those arising from unsupervised or incomplete sources-pose challenges to their reliability. This study investigates the effect of re... ...