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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...
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| 出版年: | J Exp Bot |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6487590/ https://ncbi.nlm.nih.gov/pubmed/30882149 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jxb/erz120 |
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