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Refining climate change impact estimates while generating climate-change-adaptive technologies - Matthew Reynolds

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CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security
CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security

Presentation by Matthew Reynolds, CCAFS Science Workshop, Bonn, 10th June 2011

TechnologieActualités & Politique
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Refining climate change impact estimates while generating climate-change-adaptive technologies E.g. CIMMYT has distributed approx 1,000 new wheat genotypes p.a. in targeted environments for over 30 years
International yield data –if matched with weather data- can help:   ,[object Object],[object Object],[object Object],[object Object],[object Object]
International yield data –if matched with weather data- can help (cont)… :   2) Pinpoint ‘analog’ sites where new technologies can be developed and tested 3) Integrate diverse datasets (biophysical, genetic, and socioeconomic) to help make crop and bio-economic models decision making more relevant. 4) Deploy climate-ready technologies
Germplasm deployment ,[object Object],[object Object],[object Object],[object Object],[object Object]
Crop management innovations ,[object Object],[object Object],(in partnership with environmental crop modelers, NARES, NGOs, farmers)
Links of yield analysis to GEC community ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Links of yield analysis to GEC community ,[object Object],[object Object],[object Object]

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Refining climate change impact estimates while generating climate-change-adaptive technologies - Matthew Reynolds

  • 1. Refining climate change impact estimates while generating climate-change-adaptive technologies E.g. CIMMYT has distributed approx 1,000 new wheat genotypes p.a. in targeted environments for over 30 years
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  • 3. International yield data –if matched with weather data- can help (cont)… :   2) Pinpoint ‘analog’ sites where new technologies can be developed and tested 3) Integrate diverse datasets (biophysical, genetic, and socioeconomic) to help make crop and bio-economic models decision making more relevant. 4) Deploy climate-ready technologies
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  • 7.