Genomic Selection model to predict grain Zn concentrations
Discovery research
| Autor principal: | |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122286 |
| _version_ | 1855513681056497664 |
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| author | CGIAR Research Program on Rice |
| author_browse | CGIAR Research Program on Rice |
| author_facet | CGIAR Research Program on Rice |
| author_sort | CGIAR Research Program on Rice |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Discovery research |
| format | Informe técnico |
| id | CGSpace122286 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| record_format | dspace |
| spelling | CGSpace1222862023-03-14T11:40:42Z Genomic Selection model to predict grain Zn concentrations CGIAR Research Program on Rice models development selection rural development grain systems agrifood systems genomic selection model Discovery research 2020-12-31 2022-10-06T13:55:47Z 2022-10-06T13:55:47Z Report https://hdl.handle.net/10568/122286 en Open Access application/pdf CGIAR Research Program on Rice. 2020. Genomic Selection model to predict grain Zn concentrations. Reported in Rice Annual Report 2020. Innovations. |
| spellingShingle | models development selection rural development grain systems agrifood systems genomic selection model CGIAR Research Program on Rice Genomic Selection model to predict grain Zn concentrations |
| title | Genomic Selection model to predict grain Zn concentrations |
| title_full | Genomic Selection model to predict grain Zn concentrations |
| title_fullStr | Genomic Selection model to predict grain Zn concentrations |
| title_full_unstemmed | Genomic Selection model to predict grain Zn concentrations |
| title_short | Genomic Selection model to predict grain Zn concentrations |
| title_sort | genomic selection model to predict grain zn concentrations |
| topic | models development selection rural development grain systems agrifood systems genomic selection model |
| url | https://hdl.handle.net/10568/122286 |
| work_keys_str_mv | AT cgiarresearchprogramonrice genomicselectionmodeltopredictgrainznconcentrations |