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June 5, 2026AnimalsOpen Access

Correction: Zhou et. al. Leveraging Fst and Genetic Distance to Optimize Reference Sets for Enhanced Cross-Population Genomic Prediction. Animals 2026, 16, 359

Le Zhou Lin Zhu Fengying Ma Mingjuan Gu Risu Na Wei Zhang

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Key Points

The aim is to correct previous findings on utilizing Fst and genetic distance for improving genomic predictions across different populations.
Utilized Fst and genetic distance metrics to analyze genomic data.
Re-evaluated the reference set configurations for accurate predictions.
Assessed cross-population genomic prediction accuracy using updated methodologies.
Revised predictions demonstrate improved accuracy across populations.
Findings indicate enhanced reliability of genomic predictions with optimized reference sets.

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Implication

Correction highlights the optimization of reference sets enhancing genomic prediction across animal populations.

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Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/6a250b0e7def13d035e1b13d https://doi.org/10.3390/ani16111741

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1Leveraging Fst and Genetic Distance to Optimize Reference Sets for Enhanced Cross-Population Genomic PredictionOriginal Research · 2026 · 1 citations
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4Optimizing progeny allocation strategies in breeding schemes while updating genomic prediction models2025
5309 Synergistic optimization: Utilizing genomic insights to enhance strategies for joint selective (deep) phenotyping and recursive creation of genomic reference populations - Sponsored by EAAP2024

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