The Global Yield Gap Atlas provides important information on the capacities of various countries to be self-sufficient in staple food crop production now and in the future. So far the Atlas has been populated for 24 countries for five major staple crops (maize, wheat, rice, sorghum and millet) and analyses for 25 additional countries is in progress.

1. Global Yield Gap Atlas (GYGA)
www.yieldgap.org

2. How can ‘Yield gap analysis’ be useful
 Critical questions of policy makers and R&D organizations:
 Where and how can food production be increased on
existing agricultural land?
 Will it be possible for country/region X to be self-
sufficient in food production by 2030 or 2050?
 What are the causes of yield gaps and how to
overcome them?
 How can we better target options for sustainable
intensification?

3. What is novel about the GYGA approach?
‘top-down’
approach
Gridded weather, soil, and crop
data allows full coverage but
has large uncertainty
Simulation unit: grid
?
Too coarse to be locally
relevant and difficult to
validate
Targeting a tractable
number of locations for
data collection
Simulation unit:
location x soil x crop
system combination
within a climate zone
Upscaling from location to
region or country by a
robust CZ scheme
Soil 2
Soil 3Soil 1
LOCATION A
Full coverage without
loosing local relevance
GYGA ‘bottom-up’ approach
Soil 2

4. Yield gap analysis: protocol
Climate zones
Crop-specific harvested areas
Weather station buffer zones
Soil types and cropping systems
Crop model simulations
Actual yields
Yield gaps

5. Countries currently in the GYGA website
Completed (27)
In progress (19)
Likely additions (4)

6. Summary of GYGA outputs
 Interactive website with yield potential, yield gaps, and water
productivity for 8 major crops in 27 countries (46 soon)
• Open access to data
• Transparent, reproducible protocols
 Robust spatial framework based on climate zonation
 First high resolution digital map with functional soil properties
in SSA
 Novel protocols for propagating weather data, selection of data
sources, and crop modeling
 ~15 highly cited publications

7. Yield gaps in 10 countries in SSA

8. Application: GYGA technology extrapolation domains
• Targeting field research/experimentation
• Technology transfer and adoption at scale
• Research prioritization for R & D investments
• Ex-ante and ex-poste impact assessment
• Research on climate change impacts
Claessens et al., in prep.

9. Application: country food self-sufficiency analyses
Van Ittersum et al., in prep.

10. Objectives
• Significantly advance scientific capabilities for addressing complex
agricultural & food security issues in the context of climate change
• Integrated assessments (bio-physical, socio-economic) and ex ante
evaluation of adaptation practices & policies
• Global and regional scale levels

11. Two-Track Science Approach
Track 1: Model Improvement and Intercomparison
Track 2: Climate Change Multi-Model Assessment
Regional and Global Scales

12. Teams, Linkages and Outcomes
Capacity Building
and Decision Making
• Regional vulnerability
• Adaptation strategies
• Trade policy instruments
• Technology exchange
Climate Team
Crop Modeling Team
Economics Team
Information
Technology
Team
Improvements and
Intercomparisons
• Crop models
• Agricultural economic models
• Scenario construction
• Aggregation methodologies
Cross-Cutting
Themes
• Uncertainty
• Aggregation and
Scaling
• Representative
Agricultural
Pathways
Assessments
• Regional
• Global
• Crop-specific
Work
Groups
• Soils
• Water
Resources
• Livestock
and
Grasslands
• Pests and
Diseases

13. Regional Integrated Assessments
• 4 regional projects in SSA, 4 in SA
• Impact assessment of climate change and adaptation
• Systems modeling: crops, livestock, climate, economics
• Multiple climate and socio-economic scenarios (RAPs)
• Stakeholder interactions along research pathway