Advertisement

More Related Content

Slideshows for you(20)

Viewers also liked(20)

Advertisement

Similar to Farming systems analysis in Africa RISING(20)

Advertisement

Farming systems analysis in Africa RISING

  1. Farming systems analysis in Africa RISING Jeroen Groot (Wageningen University) with IITA, ICRISAT, MSU, CIMMYT Africa RISING Monitoring and Evaluation Meeting Arusha, Tanzania, 13-14 November 2014
  2. Survey Rapid characteriz. Detailed description Exploration innovations Functional typology Structural typology Systems (re)design Extrapolation Farm diagnoses Tradeoff analysis Farm innovations Potential impact
  3. Tanzania: Babati, Kongwa & Kiteto, 240 (15) HHs Malawi: Dedza, Ntcheu, 80 (12) HHs Zambia: Chipata, Katete, Lundazi, 800 (15) HHs Ghana: Upper East, Upper West, Northern, 160 HHs Mali: Bougouni, Koutiala, 530 HHs Locations
  4. Low productivity, food availability and returns to labor Underrepresentation of women in decision making Limited or untimely resources like seeds and fertilizers Strong seasonality Problems with pest and weed control Poor management of crop residues (mulch, feed) Suboptimal feeding of livestock Limited access to training and advice Farmers challenged by climatic conditions Critical points (program wide)
  5. Crop diversification, intercropping, rotations Water management Strengthen seed systems and selection Management of organic resources: residues and manures Improved livestock feeding and management New strategies for pest and weed management More education and training Institutional arrangements, community-based organizations Entry points (program wide)
  6. Rapid characterization Zambia •Cultivated area (ha) •Tropical Livestock Units (TLU) •Total labor inputs (days/year) •Off-farm income ($) •Costs for hired labor ($) •Proportions of labor used for land preparation and weeding •Proportion of area used for legume cultivation •Legume experience (years) •Legume score Combination of structural and functional variables Functional typologies for farm selection and targeting
  7. Detailed description Zambia
  8. Detailed description Zambia
  9. Type 1 (LRE) Type 5 (HRE)
  10. Detailed description Zambia Type 1 (LRE) Type 5 (HRE)
  11. Farmer perceptions Zambia •Try new crops, animals and practices, e.g. CA, manure storage, intercrops •Better yields, grow more food •Expand farm area •Acquire more knowledge, advice •Availability of inputs (seeds), and financial means (credit) •Sickness; high cost of labor •Cattle of neighbors grazing •Lack of tools, equipment •Lack of residues •Animal disease and death Objectives Challenges
  12. Baskets of technologies Zambia A range of new crops and animal types that could be included, and new ways to cultivate/manage Zambia (specific for SIMLEZA focus): •Intercrop of maize and cowpea •Growing maize after soybean or cowpea •Using crop residues as soil amendment (mulch)
  13. Exploration of tradeoffs
  14. Exploration of tradeoffs
  15. Tradeoff analysis
  16. Selection and fine-tuning To be selected in interaction with farmers and researchers from the sets of options generated in the tradeoff analysis New cycles of refinement of the farm-specific objectives and constraints are probably needed Selected options should be further fine-tuned to the context of the farm
  17. Conclusions A wide range of critical points was identified, but also various entry points In most regions an initial assessment of a basket of selected technologies was performed Strong tradeoffs between some indicators were found, but were dependent on the farm type
  18. Africa Research in Sustainable Intensification for the Next Generation africa-rising.net The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI. Thank You
Advertisement