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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...
Zapisane w:
| Wydane w: | PLoS One |
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| Główni autorzy: | , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Public Library of Science
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8087002/ https://ncbi.nlm.nih.gov/pubmed/33930039 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0250665 |
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