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PROGRESS OF THE MILKIT PROJECT IN TANZANIA (July – November 2012)

PROGRESS OF THE MILKIT PROJECT IN TANZANIA (July – November 2012). Progress along Project Components. Component 1. Institutional Strengthening – Tanzania Component 2. Productivity Enhancement – Tanzania Component 3. Knowledge Sharing – Tanzania.

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PROGRESS OF THE MILKIT PROJECT IN TANZANIA (July – November 2012)

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  1. PROGRESS OF THE MILKIT PROJECT IN TANZANIA (July – November 2012)

  2. Progress along Project Components • Component 1. Institutional Strengthening – Tanzania • Component 2. Productivity Enhancement – Tanzania • Component 3. Knowledge Sharing – Tanzania

  3. Component 1. Institutional Strengthening – Tanzania 1a. Mechanisms for enhancing innovation capacity through local stakeholder platforms to address dairy value chain constraints. • Identification of sites • Rapid value chain assessment • Institutional analysis (stakeholder assessment) • Engage and/or establish regional platforms • Establish site (village) platforms

  4. MilkIT Interaction with Partners • Two meetings held so far • First meeting on 5th – 6thJuly 2012 in Dar es Salaam • Activity plan and budgeting • Agreement with partners • Prior site selection • Second meeting on 26th Oct. 2012 in Arusha • Reviewing work plan • Progress of the project • Agree on forage germplasm establishment • Project administration • Great delay in administration – letters of agreement • Release of funds to partners – only in October 2012

  5. Initial Projects related to the Dairy Value Chain (DVC) in Tanzania • More milk in Tanzania (Irish Aid) – MoreMilkiT • MilkIT(IFAD) • Livestock Data Project (BMGF/WB) • SFFF (Safe Food Fare Food) • African Rising – Feed the Future (Not yet confirmed)

  6. Process of Site Selection • ‘More meat, milk & fish’ (CRP 3.7) market channels 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/market – high population areas • Production potential – high LGP areas • Surplus vs deficit areas – deficit areas where there is potential for increasing supply through feed interventions. • Range of other more qualitative criteria • Complimentary to other projects (create synergies), e.g. IFAD • Active partners available • Proportion of improved cattle

  7. Preliminary version – work in progress Figure 1: Spatial distribution of livestock production systems in Tanzania

  8. Distribution of human population density in Tanzania Preliminary version – work in progress 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

  9. Market access Preliminary version – work in progress Figure 5: Travel time (hr) to local markets Figure 4: Travel time (hr) to the nearest town of 50,000 people in Tanzania

  10. Figure 8: Bovine density in Tanzania Preliminary version – work in progress Figure 19: Length of growing period (in days) for Tanzania Figure 11: Bovine feed requirements for milk production in Tanzania

  11. 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) Preliminary version – work in progress Rural production – rural consumption Rural production – urban consumption 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)

  12. Tanga Region Morogoro Region Figure 15: Surplus - deficit areas for milk in Tanzania

  13. Morogoro Region Kilosa Right: Mixed production systems with high population densities (cut off 25 persons/km2) versus others (arid systems – light green; humid and temperate systems – dark green; others - grey) Kilombero Kilosa Kilosa Kilombero Kilombero Rural production – rural consumption Rural production – urban consumption Coloured areas meet 3 conditions: farming systems, high human population density and low market access (= areas more than 5 hours from large urban centres) Coloured areas meet 3 conditions: farming systems, high human population density and high market access (= areas less than 5 hours from large urban centres)

  14. Tanga Region Muheza Korogwe Right: Mixed production systems with high population densities (cut off 25 persons/km2) versus others (arid systems – light green; humid and temperate systems – dark green; others - grey) Handeni Rural production – rural consumption Rural production – urban consumption Muheza Muheza Korogwe Korogwe Handeni Handeni Coloured areas meet 3 conditions: farming systems, high human population density and low market access (= areas more than 5 hours from large urban centres) Coloured areas meet 3 conditions: farming systems, high human population density and high market access (= areas less than 5 hours from large urban centres)

  15. Process of site selection • GIS mapping • Stakeholder consultation • Ground truthing • Collaboration with other Projects • More-MilkIT • SFFF (Safe Food Fare Food)

  16. Component 1. Institutional Strengthening – Tanzania 1b. Approaches for involving local stakeholders in analysis of feed-related aspects of the dairy value chain. • Develop value chain tools • Conduct value chain assessment • Periodic market appraisals outputs/inputs 1c. Identification of intervention strategies emerging from dairy value chain analysis. • Develop inventory of potential interventions (feed supply and feed use)

  17. Research Activities • DVC Assessment in Morogoro and Tanga(More-MilkiT, MilkIT and SFFF July–Aug 2012 )

  18. Inventory potential interventions Tanzania Component 1. Institutional Strengthening – Tanzania 1b. Approaches for involving local stakeholders in analysis of feed-related aspects of the dairy value chain. • Develop value chain tools • Conduct value chain assessment • Periodic market appraisals outputs/inputs 1c. Identification of intervention strategies emerging from dairy value chain analysis. • Develop inventory of potential interventions (feed supply and feed use)  Fred to report some advances

  19. Research & improvement of feeding required – situational analysis • Serious imbalance in investment into animals vs. pastures or other feeds • Great opportunity for impact, e.g. • Production about 303,000 bales of hay (2010), while demand exceeds 1,000,000 bales/annum • Production of compounded feedstuffs estimated 800,000 t/annum, while potential demand stands at 2.5 million t/annum • About 60 feed mills not operating to optimal capacity; not equally distributed over country; providing mostly to poultry and pig farms • Opportunities and needs identified • Training programs for sustainable pasture management and general animal feeds for existing farms, including renewal of all depleted pastures • Introduction of supplements, especially targeting smallholders

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