Farming systems approach

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Presented by Mirja Michalscheck, Wageningen University of Research at the Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013

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Farming systems approach

  1. 1. Farming Systems Approach Mirja Michalscheck, Wageningen University of Research Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013
  2. 2. … to answer questions like … … to better understand methods Landscape data tools Communities Household • Landscape images • Ecological Structure • Social Emphasis • Commons • Farm Business • Single Plots How suitable are certain technologies / practices in a particular setting? How poor / wealthy are potential beneficiaries? How vulnerable are they to shocks? Farming Systems Analysis Possibilities / Limitations What questions do we answer? AR Research
  3. 3. Suggested SImeasures Food Prices 1. Labour Market Input Prices Farming System (Business) 2. 3. Dimensions of Evaluation Climate Change Impact on Scales
  4. 4. Models Scale Landscape FarmDESIGN FARMSIM Farm Plot/field Complexity static dynamic
  5. 5. Farm DESIGN and FARMSIM serve to.. • Assess components and characteristics (DESCRIBE) • Analyse and diagnose (EXPLAIN) • Explore opportunities & trade-offs (EXPLORE) • Evaluate and suggest changes (DESIGN) … related to farming systems D D E E
  6. 6. Input: Data & Tools • AR Surveys • • • • ImpactLITE for West Africa (Ghana and Mali) N2Africa Farm Design Data Sheet for Tanzania and Malawi Simleza • Secondary Data (including experimental data) • Conceptually linked to large-scale IFPRI surveys: Statistical backup
  7. 7. Suitability of Technologies & Practices • Availability (markets, services) • Acceptability (culture) • Affordability (farm business) • Projected Impacts (yields, ecological quality) • Ability to operate & maintain (skills)
  8. 8. How poor / wealthy are potential beneficiaries? • Socio-economic profile of target group? • Poor households, but: power set-up within household/business?
  9. 9. Vulnerability to Shocks • Snapshot of Breeds/Varieties , Financial Buffer, Family Labour Availability • Dynamic Models
  10. 10. Vision • Growing AR Data Base: Model Inputs, Details on Context • Stronger link to community and landscape aspects in the static model (e.g. through agent based models) • Integrate Gender and Nutrition in Farm DESIGN
  11. 11. Thank you very much ! Questions to the Research Group: jeroen.groot@wur.nl Questions on the ppt: mirja.michalscheck@wur.nl
  12. 12. Entry Points for Research Error Total Parameters Structure Complexity Passioura (1996)
  13. 13. Impressions of Field Work
  14. 14. Structural Typology Survey Functional Typology Rapid Characterization Extrapolation Systems (Re)design Potential Impact Farm Innovations n = 50 - 100 Farm Diagnoses Detailed Description Explore Innovations Trade-Off Analysis n = 10-50

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