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Article

Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components.

International journal of molecular sciences - 16 May 2022

Yoosefzadeh-Najafabadi Mohsen, Eskandari Milad, Torabi Sepideh, Torkamaneh Davoud, Tulpan Dan, Rajcan Istvan

Abstract excerpt

A genome-wide association study (GWAS) is currently one of the most recommended approaches for discovering marker-trait associations (MTAs) for complex traits in plant species. Insufficient statistical power is a limiting factor, especially in narrow genetic basis species, that conventional GWAS methods are suffering from. Using sophisticated mathematical methods such as machine learning (ML) algorithms may...

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PMID: 35628351
DOI: 10.3390/ijms23105538
PMCID: PMC9141736

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