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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| 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 |