Incorporating genome-wide association into eco-physiological simulation to identify markers for improving rice yields
We explored the use of the eco-physiological crop model GECROS to identify markers for improved rice yield under well-watered (control) and water-deficit conditions. Eight model parameters were measured from the control in one season for 267 indica genotypes. The model accounted for 58% of yield var...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Oxford University Press
2019
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| Acceso en línea: | https://hdl.handle.net/10568/164710 |
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