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Plant Physiology|August 12, 2025
Merging traditional practices and modern technology through computational plant breedingMohsen Yoosefzadeh-Najafabadi
The Plant Journal : for Cell and Molecular Biology|November 27, 2024
Machine learning-enhanced multi-trait genomic prediction for optimizing cannabinoid profiles in cannabisMohsen Yoosefzadeh Najafabadi, Davoud Torkamaneh
Trends in Plant Science|September 10, 2025
Hybrid AI in synthetic biology: next era in agricultureMohsen Yoosefzadeh Najafabadi, Scott A Jackson
Heliyon|December 5, 2022
Optimizing genomic selection in soybean: An important improvement in agricultural genomicsMohsen Yoosefzadeh-Najafabadi, Istvan Rajcan, Milad Eskandari
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|August 11, 2024
Genetic diversity and genome-wide association study of partial resistance to Sclerotinia stem rot in a Canadian soybean germplasm panelDeus Mugabe, Mohsen Yoosefzadeh-Najafabadi, Istvan Rajcan
Plants (Basel, Switzerland)|September 1, 2023
Unveiling the Mysteries of Non-Mendelian Heredity in Plant BreedingMohsen Yoosefzadeh Najafabadi, Mohsen Hesami, Istvan Rajcan
Plos One|April 30, 2021
Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traitsMohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
Genes|April 28, 2023
Machine Learning-Assisted Approaches in Modernized Plant Breeding ProgramsMohsen Yoosefzadeh Najafabadi, Mohsen Hesami, Milad Eskandari
Plant Methods|August 21, 2020
Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on somatic embryogenesis of chrysanthemum, as a case studyMohsen Hesami, Roohangiz Naderi, Masoud Tohidfar, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|June 18, 2022
Identification of quantitative trait loci associated with seed quality traits between Canadian and Ukrainian mega-environments using genome-wide association studyHuilin Hong, Mohsen Yoosefzadeh Najafabadi, Davoud Torkamaneh, et al.
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