CRP MAIZE: FP 4
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Transcript of CRP MAIZE: FP 4
Sustainable intensification?
Source: University of Michigan
It is still not clear what sustainable intensification might look like on the ground, how it might differ amongst production systems, in different places, and given different demand trajectories, and how the tradeoffs that inevitably arise, might be balanced.Garnett and Godfray, 2012
In its current use, the term “sustainable intensification” is often weakly and narrowly defined, and lacks engagement with key principles of sustainabilityLoos et al. 2014
Key considerations for SI R4DPlace research and technical innovation in bio-physical, social and economic contexts
Spatial dimension (heterogeneity at various levels)
Temporal dimension (drivers of change, trajectories, systems in transition)
Smallholders farming systems are multi-commodity and multi-functional
Rural livelihoods increasingly depending on non-farm activities
Avoid to be lost in ‘complexity’!
Agriculture and the environment (link to CCAFS and WLE)
Source: FAO
Shammi Mehra/Agence France-Presse — Getty Images
Farmers’ Unchecked Crop Burning Fuels India’s Air PollutionAlgae development in the Sea of Cortes due to ag. nitrate pollution
Gully erosion in a groundnut field in Malawi
• Over 1 billion people are employed in world agriculture, representing 1 in 3 of all workers
• In sub-Saharan Africa over 60 percent of the entire workforce are involved in agriculture
Livelihood, equity and social justice The role of agriculture varies very much across geographies
In Tittonell et al. 2013
Smallholder farming systems: A poverty trap?
Harris and Orr, 2014
Complex and tortuous impact pathways (compared to seed systems and breeding IP)
Cover the full R4D continuum
- Systems research- Development of frameworks (analytical
and operational)- M&E&L is key and needs to include
indicators/metrics- Impact through complex partnership
with public and private sector (broker role)
- Technology and knowledge generation to guide development
-> Need better M&E&L and impact assessment
Herrero et al., 2009
Technology generation
Community to landscape system
HH farming systemField Institutions & Markets
Process research
Enabling & analysis tools
Output target ‘Last mile providers’
Innovation systemsParticipatory co-innovation & learning
- System interactions: - Livestock, cash crops; trees
HH typologies (livelihood & biophysical)
Trade-off analyses Bio-economic models
Geospatial (domains, impact)
- Knowledge products
- Identify inefficiencies (markets, providers)
Outcome Increased productivity & stability of farming systems
Increased income of smallholder farmers
Scale
- Systems for the future
Increased yield of maize/wheat for smallholder farmers
- System impacts on NRM & ecosystem services
- Mechanization
Business models
- Communication products
Sustainable Intensification Framework
- Water- Nutrients- Seeds- Weeds- Pest & diseases- Soil health
- Tillage- Rotation- Intercropping
Scaling
FP 5Develop
CoA 1.4Adoption, impact,
M&E&L
CoA 1.1Foresight and
targeting
CoA 4.2 • Understanding of farmer decision making
processes and adoption patterns.• Decision support systems• Institutional arrangements evaluated for
SI potential
CoA 3.1 Elite biotic and abiotic stress
tolerant
CoA 4.1• Farming systems analysis to guide targeting
of interventions) for specific environmental and agroecological contexts
• Understanding and prioritization of actual and potential demand for SI options across geographies and landscapes
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Integrated knowledge for development and performance feedback to research
CoA 4.3 • Proof of concepts, and knowledge on crop
management interventions • Participatory technology adaptation• Options to lower yield gaps, improve
productivity, efficiency, yield stability.
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CoA 4.4• Business model research and
development• Partnerships for scaling SI interventions
and assessment of partners’ capacity• Innovation capacity development R&D
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CoA
4.4
Part
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INFORMATION
INCENTIVES
OPPORTUNITIES
PRO
CESS
ESS
SCAL
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Knowledge and product flows between CoAs- 4.3 to 4.1 Integration of agronomy performance into systems analysis- 4.1 to 4.3 Prioritization for further field scale research in CRPs agro-
ecologies- Inform participatory research design and prioritized technologies to be
integrated according to agro-ecologies and farm types- Feedback loop and improvement of framework- Agronomy/technical know-how to participatory research actors- Feedback on in-situ performance of technologies and their integration
for further improvement by agronomists
- Meta-level targeting information to systems analysis- Feedback loop on meta-level foresight and targeting - Methodological support to SI scaling. - Provides prototyped decision support tools/Systems- Feedback to participatory approaches and DST/DSS- Provide adoption figures + process indicators to CoA 1.4- Supply of promising germplasm for targeted environments- Feedback on G×E×M, with emphasis on closing yield gaps- Business model intelligence to leverage public-private partnerships- Innovation capacity research and development- 4.2 to 4.3 integration from research from practice and back (feedback)
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CoA 4.2Integration of technological and
institutional options in rural livelihood systems
CoA 4.1Multi-scale farming system
framework to better integrate and enhance adoption of sustainable
intensification options
CoA 4.3Multi-criteria evaluation and participatory adaptation of
cropping systems
Sustainable Intensification Flagships (FP4) for MAIZE (and WHEAT)
CRP IEA (Item 146): The MAIZE CRP illustrates the type of systems research that would be useful within the CGIAR. As the evaluation pointed out, systems research conducted within this CRP focused on the characterization and assessment of trade offs in farming systems, the ‐identification of optimization options, and support for sustainable intensification trajectories. Methods included surveys, modeling, field experimentation and statistical analysis.