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Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits

Improving genetic yield potential in major food grade crops such as soybean (Glycine max L.) is the most sustainable way to address the growing global food demand and its security concerns. Yield is a complex trait and reliant on various related variables called yield components. In this study, the...

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Detalles Bibliográficos
Autores principales: Yoosefzadeh-Najafabadi, Mohsen, Tulpan, Dan, Eskandari, Milad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8087002/
https://www.ncbi.nlm.nih.gov/pubmed/33930039
http://dx.doi.org/10.1371/journal.pone.0250665