Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits. by Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari

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Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices by Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari

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Optimizing genomic selection in soybean: An important improvement in agricultural genomics by Mohsen Yoosefzadeh-Najafabadi, Istvan Rajcan, Milad Eskandari

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Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs by Mohsen Yoosefzadeh Najafabadi, Mohsen Hesami, Milad Eskandari

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Genome-wide association identifies several QTLs controlling cysteine and methionine content in soybean seed including some promising candidate genes by Sidiki Malle, Milad Eskandari, Malcolm Morrison, François Belzile

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SoyMAGIC: An Unprecedented Platform for Genetic Studies and Breeding Activities in Soybean by Seyed Mohammad Hashemi, Gregory Perry, Istvan Rajcan, Milad Eskandari

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Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with Soybean Seed Quality Traits by Mohsen Yoosefzadeh-Najafabadi, Sepideh Torabi, Dan Tulpan, Istvan Rajcan, Milad Eskandari

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Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean by Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, John Sulik, Milad Eskandari

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Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components by Mohsen Yoosefzadeh-Najafabadi, Milad Eskandari, Sepideh Torabi, Davoud Torkamaneh, Dan Tulpan, Istvan Rajcan

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Soybean–SCN Battle: Novel Insight into Soybean’s Defense Strategies against <i>Heterodera glycines</i> by Sepideh Torabi, Soren Seifi, Jennifer Geddes-McAlister, Albert Tenuta, Owen Wally, Davoud Torkamaneh, Milad Eskandari

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