TARGETING THE DAIRY VALUE 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

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

Targeting domains

Peri-urban

Urban center

Rural → rural

Rural → urban

Peri-urban → urban

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

• GIS-based spatial analysis – Cattle density → high density

areas – Poverty → high poverty areas – Population → high population

areas– 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.

Figure 1: Spatial distribution of livestock production systems in Tanzania

Preliminary version – work

in progress

Figure 2: Distribution of human population density in Tanzania

Preliminary version – work

in progress

Distribution of human population

density in Tanzania

Figure 3: Distribution of the number of people living on less than $1.25 per day

Figure 4: Distribution of the number of people living on less than $2 per day

Preliminary version – work in progress

Figure 4: Travel time (hr) to the nearest town of 50,000 people in Tanzania

Figure 5: Travel time (hr) to local markets

Market access

Preliminary version – work in progress

Figure 8: Bovine density in Tanzania

Preliminary version – work

in progress

Figure 11: Bovine feed requirements for milk production in Tanzania

Figure 19: Length of growing period (in days) for Tanzania

Figure 8: Bovine density in

TanzaniaPreliminary version – work in progress

Areas with more than high % (>10%) of exotic cattle (dark blue) versus low % exotic (light blue)

Areas with % of exotic cattle summarised by region

Figure 8: Bovine density in

TanzaniaPreliminary version – work in progress

Figure 13: Bovine milk production in Tanzania

Figure 7: Average bovine milk consumption in Tanzania

Figure 15: Surplus - deficit areas for milk in Tanzania

Preliminary version – work in progress

Mixed 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

Preliminary version – work

in progress

Right: Mixed production systems with high population densities, and low market access versus others (arid systems – light green; humid and temperate systems – dark green; others - grey)

Coloured areas meet 3 conditions: farming systems, high human pop density and high market access (= areas more than 5 hours from large urban centres)

Coloured areas meet 3 conditions: farming systems, high human pop density and high market access (= areas less than 5 hours from large urban centres)

Rural production –rural consumption

Rural production –urban consumption

Preliminary version – work in progress

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

• Range of other, more qualitative criteria, e.g., – Proportion of improved cattle – Complimentary to other

projects (create synergies), e.g. IFAD

– Potential partners/ stakeholders

– Site-specific checklist

• GIS-based spatial analysis – Cattle density → high density

areas – Poverty → high poverty areas – Population → high population

areas– 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.