Climate-smart seed systems
How to inject more geography in crop improvement
Jacob van Etten
Seed system
Germplasm selection
Germplasm often collected 10-50 years ago
Climates are changing
Geographical tools to aid germplasm se...
GIS tools for germplasm selection
Breeding
Determination of target environments, selection
of locations to do selection
Determining environmental adaptation...
Seed production
Variety recommendations often outdated or
with weak empirical (geographical) basis
Few examples of dynamic...
Annicchiarico et al.
Recommendation domains
Getting more territorial:
local seed banks and reserves
Ex situ
conservation,
directly
accessible to
smallholders
Seed
res...
Participatory methods
Ongoing work
More “territorial” participatory methods have
been used more intensively for over two decades
now.
How can we...
Crowdsourcing crop improvement
in India
Evaluation card
Unique code: 8181
Germination:_______
Yield:___________
Etc. _____________
________________
______________...
+ -
A > C > D
A > D > G
A>C>D>G
Software prototype
Data analysis
Conclusions
Preliminary data show that crowdsourcing crop
improvement is viable
Many opportunities to build more capacity ...
Climate-smart seed systems
Climate-smart seed systems
Climate-smart seed systems
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Climate-smart seed systems

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A presentation by Bioversity International senior scientist Jacob van Etten on how to inject more geography in crop improvement through GIS, crowdsourcing and by using a more territorial and participatory approach. This was presented at the VII Inter-American scientific Henry A.Wallace Conference Series in CATIE, Costa Rica. Read more about Bioversity International’s work on climate change adaptation:
http://www.bioversityinternational.org/research-portfolio/adaptation-to-climate-change

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Climate-smart seed systems

  1. 1. Climate-smart seed systems How to inject more geography in crop improvement Jacob van Etten
  2. 2. Seed system
  3. 3. Germplasm selection Germplasm often collected 10-50 years ago Climates are changing Geographical tools to aid germplasm selection
  4. 4. GIS tools for germplasm selection
  5. 5. Breeding Determination of target environments, selection of locations to do selection Determining environmental adaptation traits for (future) environment
  6. 6. Seed production Variety recommendations often outdated or with weak empirical (geographical) basis Few examples of dynamic updating of recommendations based on weather forecasts Information asymmetry
  7. 7. Annicchiarico et al. Recommendation domains
  8. 8. Getting more territorial: local seed banks and reserves Ex situ conservation, directly accessible to smallholders Seed reserves to respond to emergencies Local human capital Local diversity responds to diverse needs
  9. 9. Participatory methods
  10. 10. Ongoing work More “territorial” participatory methods have been used more intensively for over two decades now. How can we mainstream and massify these methods? Can we make use of ICTs (mobile telephones, sensors) to make this possible? What about a citizen science approach?
  11. 11. Crowdsourcing crop improvement in India
  12. 12. Evaluation card Unique code: 8181 Germination:_______ Yield:___________ Etc. _____________ ________________ ________________ ________________ 1 2 3 8181 1 2 3 Registration card Unique code: 8181 Name:____________ GPS:_____________ ________________ ________________ ________________ ________________
  13. 13. + - A > C > D A > D > G A>C>D>G
  14. 14. Software prototype
  15. 15. Data analysis
  16. 16. Conclusions Preliminary data show that crowdsourcing crop improvement is viable Many opportunities to build more capacity using territorial/participatory approaches to improve crop seeds

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