Inspire Challenge Award: Real-time diagnostics for devastating wheat rust
| cg.contributor.crp | Big Data | |
| cg.coverage.country | Ethiopia | |
| cg.coverage.iso3166-alpha2 | ET | |
| cg.coverage.region | Eastern Africa | |
| cg.number | IN-705 | |
| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | |
| dc.date.accessioned | 2022-10-06T14:16:16Z | en |
| dc.date.available | 2022-10-06T14:16:16Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/122991 | |
| dc.title | Inspire Challenge Award: Real-time diagnostics for devastating wheat rust | en |
| dcterms.abstract | 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. | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | 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. | en |
| dcterms.isPartOf | CRP Innovation | en |
| dcterms.issued | 2018-12-31 | |
| dcterms.language | en | |
| dcterms.license | Other | |
| dcterms.subject | development | en |
| dcterms.subject | rural development | en |
| dcterms.subject | wheat | en |
| dcterms.subject | identification | en |
| dcterms.subject | systems | en |
| dcterms.subject | agrifood systems | en |
| dcterms.subject | time | en |
| dcterms.subject | strains | en |
| dcterms.subject | gene | en |
| dcterms.type | Report |
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