Crowdsourcing crop improvement
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Transcript of Crowdsourcing crop improvement
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Crowdsourcing crop improvement
Jacob van Etten
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Issue
Climate change means farmers need to make their crops and cropping systems adapt to new conditions, quicker than ever before.
Farmers rely on informal and formal seed systems to get access to seeds.
Photo: P. Casier (CGIAR).
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Seed system
Almekinders et al.
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Issues to consider50% or more of all land is still not under modern varieties →unrealistic to change this in a few decades
Push models (credit+seed+other inputs) are not successful in marginal areas and can be hijacked by suppliers
Resilient, climate smart seed system combine the best from formal and local seed systems (more on that)
How do we scale up experiences in local seed systems (participatory plant breeding and variety selection, community seed banks, seed fairs, etc.)?
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Resilience
From “fail-safe” to “safe to fail” design.
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Resilience
Tight feed-back loopsDynamic reorganizationBuilt-in countermechanismsDecoupling, diversity, modularitySimplicitySwarming Clustering +_________________
Resilience
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Tight feed-back loops
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Tight feed-back loops
Is information flowing back from farmers to seed producers, breeders, and genebanks?
Current model is mostly supply driven, with few opportunities for feed-back loops.
New ICTs provide opportunities for tighter feed-back to learn about demand, challenges farmers face, while getting impact at scale.
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Seeds4Needs
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Crowdsourced Crop Improvement
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Social learning
Crowdsourcing is cheap social learning
Constant circulation of information shapes opportunities to detect new demands and developments – which should be investigated using in-depth (phone) interviews, focus groups, ethnography, etc.