Inspire Challenge Award: Real-time diagnostics for devastating wheat rust
Demonstrated that a small gene sequencing device could be used in the field to identify a strain of wheat rust within 48 hours, dramatically reducing the response cycle time. The pilot demonstrated the first-ever accurate identification of individual yellow rust strains just as the disease emerged i...
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Acceso en línea: | https://hdl.handle.net/10568/122991 |
| _version_ | 1855537818700349440 |
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| author | CGIAR Platform for Big Data in Agriculture |
| author_browse | CGIAR Platform for Big Data in Agriculture |
| author_facet | CGIAR Platform for Big Data in Agriculture |
| author_sort | CGIAR Platform for Big Data in Agriculture |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Demonstrated that a small gene sequencing device could be used in the field to identify a strain of wheat rust within 48 hours, dramatically reducing the response cycle time. The pilot demonstrated the first-ever accurate identification of individual yellow rust strains just as the disease emerged in the field. |
| format | Informe técnico |
| id | CGSpace122991 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | CGSpace1229912023-03-14T12:20:57Z Inspire Challenge Award: Real-time diagnostics for devastating wheat rust CGIAR Platform for Big Data in Agriculture development rural development wheat identification systems agrifood systems time strains gene Demonstrated that a small gene sequencing device could be used in the field to identify a strain of wheat rust within 48 hours, dramatically reducing the response cycle time. The pilot demonstrated the first-ever accurate identification of individual yellow rust strains just as the disease emerged in the field. 2018-12-31 2022-10-06T14:16:16Z 2022-10-06T14:16:16Z Report https://hdl.handle.net/10568/122991 en Open Access application/pdf CGIAR Platform for Big Data in Agriculture. 2018. Inspire Challenge Award: Real-time diagnostics for devastating wheat rust. Reported in Platform for Big Data in Agriculture Annual Report 2018. Innovations. |
| spellingShingle | development rural development wheat identification systems agrifood systems time strains gene CGIAR Platform for Big Data in Agriculture Inspire Challenge Award: Real-time diagnostics for devastating wheat rust |
| title | Inspire Challenge Award: Real-time diagnostics for devastating wheat rust |
| title_full | Inspire Challenge Award: Real-time diagnostics for devastating wheat rust |
| title_fullStr | Inspire Challenge Award: Real-time diagnostics for devastating wheat rust |
| title_full_unstemmed | Inspire Challenge Award: Real-time diagnostics for devastating wheat rust |
| title_short | Inspire Challenge Award: Real-time diagnostics for devastating wheat rust |
| title_sort | inspire challenge award real time diagnostics for devastating wheat rust |
| topic | development rural development wheat identification systems agrifood systems time strains gene |
| url | https://hdl.handle.net/10568/122991 |
| work_keys_str_mv | AT cgiarplatformforbigdatainagriculture inspirechallengeawardrealtimediagnosticsfordevastatingwheatrust |