A robust model based on root morphological and anatomical features to distinguish high and low methane emission rice varieties through machine learning approaches
Rice fields are a major producer of methane, a strong greenhouse gas. However, identifying genetic variation in methane emissions among rice varieties remains challenging. This study applied association rule mining to detect key rice root morphological and anatomical traits influencing methane emiss...
| Autores principales: | , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Oxford University Press
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179411 |
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