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Targeting the dairy value chain for Tanzania: Mapping for site selection

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Presented by Isabelle Baltenweck, An Notenbaert, Jeannette van de Steeg and Brigitte Maass at the Smallholder Dairy Value Chain in Tanzania Stakeholder Meeting, Morogoro, Tanzania, 9 March 2012

Presented by Isabelle Baltenweck, An Notenbaert, Jeannette van de Steeg and Brigitte Maass at the Smallholder Dairy Value Chain in Tanzania Stakeholder Meeting, Morogoro, Tanzania, 9 March 2012

Published in: Technology, Business, Travel

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  • 1. TARGETING THE DAIRYVALUE CHAIN FOR TANZANIA Mapping for site selection Isabelle Baltenweck, An Notenbaert, Jeannette van de Steeg, et al. Presented by Brigitte Maass Morogoro, 9 March 2012
  • 2. MilkIT and More Milk – Site selection process• LaF (Milk, meat & fish for the poor by the poor) strata to consider – Peri-urban – not to be considered for MilkIT project – Rural to urban – Rural to rural
  • 3. Targeting domains Peri-urban Rural → urban Urban center Peri-urban → urbanRural → rural
  • 4. MilkIT and More Milk – Site selection process• LaF (Milk, meat & fish for the • GIS-based spatial analysis poor by the poor) strata to – Cattle density → high density consider areas – Peri-urban – not to be – Poverty → high poverty areas considered for MilkIT project – Population → high population – Rural to urban areas – Rural to rural – Market access → good access areas – Production potential → high length of growth period (LGP) areas – Surplus vs. deficit areas → deficit areas where there is potential for increasing supply through feed interventions.
  • 5. Preliminary version – work in progressFigure 1: Spatial distribution of livestock production systems in Tanzania
  • 6. Preliminary version – work in progressFigure 2: Distribution of human population density in Tanzania
  • 7. Distribution of human population density inPreliminary Tanzaniaversion – workin progressFigure 3: Distribution of the number of people Figure 4: Distribution of the number of peopleliving on less than $1.25 per day living on less than $2 per day
  • 8. Market accessPreliminaryversion – workin progressFigure 4: Travel time (hr) to the nearest town of Figure 5: Travel time (hr) to local markets50,000 people in Tanzania
  • 9. Preliminary version – work in progressFigure 8: Bovine density in Tanzania
  • 10. Figure 8: Bovine density inPreliminary Tanzaniaversion – workin progressFigure 19: Length of growing period (in days) for Figure 11: Bovine feed requirements for milkTanzania production in Tanzania
  • 11. Figure 8: Bovine density inPreliminary Tanzaniaversion – workin progressAreas with % of exotic cattle summarised by Areas with more than high % (>10%) of exoticregion cattle (dark blue) versus low % exotic (light blue)
  • 12. Figure 13: Bovine milk production in TanzaniaPreliminaryversion – workin progressFigure 15: Surplus - deficit areas for milk Figure 7: Average bovine milk consumption inin Tanzania Tanzania
  • 13. Preliminary version – work in progressMixed production systems with high population densities versus others (arid systems – light green;humid and temperate systems – dark green; others - grey) – The white areas are therefore areas in‘rangelands’ or hyper arid and/or areas with low pop densities
  • 14. Right: Mixed production systems with high population densities, and low market access versus othersPreliminaryversion – work (arid systems – light green;in progress humid and temperate systems – dark green; others - grey) Rural production – Rural production – rural consumption urban consumptionColoured areas meet 3 conditions: farming systems, Coloured areas meet 3 conditions: farming systems,high human pop density and high market access (= high human pop density and high market access (=areas more than 5 hours from large urban centres) areas less than 5 hours from large urban centres)
  • 15. MilkIT and More Milk – Site selection process• LaF (Milk, meat & fish for the • GIS-based spatial analysis poor by the poor) strata to – Cattle density → high density consider areas – Peri-urban – not to be – Poverty → high poverty areas considered for MilkIT project – Population → high population – Rural to urban areas – Rural to rural – Market access → good access areas – Production potential → high• Range of other, more length of growth period (LGP) qualitative criteria, e.g., areas – Proportion of improved cattle – Surplus vs. deficit areas → deficit areas where there is – Complimentary to other potential for increasing supply projects (create synergies), through feed interventions. e.g. IFAD – Potential partners/ stakeholders – Site-specific checklist