CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate
| cg.contributor.crp | Big Data | |
| cg.number | OICS3884 | en |
| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | en |
| dc.date.accessioned | 2022-10-06T20:13:38Z | en |
| dc.date.available | 2022-10-06T20:13:38Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/123763 | |
| dc.title | CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | CGIAR Platform for Big Data in Agriculture. 2020. CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate. Reported in Platform for Big Data in Agriculture Annual Report 2020. MELIA. | en |
| dcterms.isPartOf | CRP MELIA study | en |
| dcterms.issued | 2020-12-31 | |
| dcterms.language | en | |
| dcterms.license | Other | |
| dcterms.relation | https://hdl.handle.net/10568/108316 | en |
| dcterms.subject | monitoring and evaluation | en |
| dcterms.subject | agrifood systems | en |
| dcterms.subject | rural development | en |
| dcterms.type | Case Study |
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