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Journal: Int. J. Mol. Sci., 2022
Volume: 23
Number: 5538
5538
Article: Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components
Authors: by Mohsen Yoosefzadeh-Najafabadi, Milad Eskandari, Sepideh Torabi, Davoud Torkamaneh, Dan Tulpan and Istvan Rajcan
Link: https://www.mdpi.com/1422-0067/23/10/5538

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