Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep

November 2025 in “ Agriculture ”

Yunus Arzık, Mehmet Kızılaslan, Sedat Behrem, Simge Tütenk, Mehmet Ulaş Çınar

Studysummary This study applied a machine learning-based genomic analysis to identify genetic markers associated with wool traits in Central Anatolian Merino sheep, successfully highlighting loci relevant to fiber diameter, staple length, and greasy fleece yield, which could inform breeding programs to enhance wool quality and yield.

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