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

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

Component 2. Productivity Enhancement Tanzania 2a.Strategies for implementing local feed-related innovations emerging from stakeholder platforms with the potential to enhance dairy incomes. Training on the FEAST tool in Pemba Characterize feeding systems with FEAST assessments Plan site-specific interventions with platforms Compile inventory of feed agents/types/sources around sites FEAST training and DVC Assessment in Pemba (MilkIT 7th 14th July 2012)

Kisiwani Chake Chake and Mkoani FEAST training in Pemba

Component 2. Productivity Enhancement Tanzania 2b.Methods for enhancing diffusion of local feed-related innovations among dairy smallholders with the potential for income benefits through productivity increases. Test strategies to engage local decision makers Identify workable interventions at project sites TechFit Innovation platforms develop a process to change feeding practices 2c.Strategic lesson learning on appropriate dairy feeding strategies and technologies. Design and implement baseline study Document current feed-related development activities (successes + failures) Develop framework to assess likelihood of technology uptake Technical activities planned Forage Germplasm Establishment:A base towards conducting trials and seed distribution to farmers during the project.Few forage spp. already proposed and agreed, namely; Varieties of Napier grass (Pennisetum purpureum), Brachiaria spp and Guinea grass (Panicum maximum) SARI- Arusha and TALIRI- Tanga are the proposed sites where multiplication plots will be established under different ecological conditions. Productivity Enhancement Component 2. Productivity Enhancement Tanzania 2b.Methods for enhancing diffusion of local feed-related innovations among dairy smallholders with the potential for income benefits through productivity increases. Test strategies to engage local decision makers Identify workable interventions at project sites TechFit Innovation platforms develop a process to change feeding practices 2c.Strategic lesson learning on appropriate dairy feeding strategies and technologies. Design and implement baseline study Document current feed-related development activities (successes + failures) Develop framework to assess likelihood of technology uptake

Baseline/HH Survey (More-MilkiT, MilkIT and SFFF Nov. - Dec. 2012)

Magamba, Lushoto Teams taking off in the morningDetailed Site Selection in TanzaniaProcess of Detailed Site Selection Sites for interventions in Tanzania DVC so far identified up to district levelMorogoro Region (Kilosa and Mvomero districts) Tanga Region (Handeni and Lushoto districts) Based on mixture of spatial map overlays, stakeholder consultation, scoping visits and R&D partner preferences Spatial mapping mainly relied on socio-economic data Human population & poverty, market access and consumption Livestock density and Livestock production systems Kilosa and Handeni districts represent pre-commercial rural production-to-rural consumption Mvomero and Lushoto stand for more commercial rural production-to-urban consumptionDetailed Site Selection in TanzaniaDetailed (intervention) site selection Objective to identify specific sites where specific interventions will be carried out Checklist and participatory scoping procedures will be applied to identify sites for implementation based criteria, e.g. Target groups, Impact indicators, Ease of assistance and access to markets/ inputs/services Potential for collective action, and Availability of related development activities Detailed Site Selection in TanzaniaDetailed village selection in Kilosa and Mvomero, Morogoro Region; Handeni and Lushoto, Tanga Region (More-MilkiT and MilkIT September 2012)

In Lushoto.Detailed Site Selection in TanzaniaDetailed Village SelectionProcess: 25 Villages surveyed by visiting District Offices GPS-coordinates and village details gathered

Some key findings: Poor organization of data/information.Most of the improved cattle were obtained through projects (e.g., Heifer International and SECAP, Soil Erosion Control Agroforestry Project)

Fred to expand Detailed Site Selection in Tanzania

Component 3. Knowledge Sharing Tanzania 3a.Mechanisms for sharing knowledge at local and regional levels. Identify key existing knowledge pathways Identify communication barriers along value chain Establish steering group 3b.Mechanisms for sharing knowledge across project countries and among global R4D projects. Annual planning meeting of project teamProduce quarterly technical reports Write annual report Lessons synthesized, assessed and applied Innovation PlatformsInnovation Platforms Meeting:Stakeholders analysis in Tanga and Morogoro to be done by partners Tanga Dairy Platform already in placeTanga model will be the basis of establishing other platforms in Morogoro.The IP activities start from November in Tanga Dairy Platform Meeting in Tanga Julius to expand on meeting November 2012Knowledge Sharing

Approaches: Innovation Platforms (IPs) and site selection Alan (28.08.2012): Chronology in MilkIt would be to form IPs, agree on feed interventions among IP members and then select sites for those interventions based on agreement with IP members. Actual process: Site selection by Regional IP Village IPs

FEAST training + assessments already planned for January13Knowledge Sharing

Sampling Villages in a District Reducing 150 200 villages in a District to 35 MoreMilkIT research villages (20 25 per district) represent the majority of the cattle population and cattle-keeping population in the area The initial selection of 35 villages was based on local authority official figures for villages where there were some cattle Upon reduction from 35 to 25 villages a few very remote villages were dropped and villages with little/no cattle as per ground-truthing activityAmong these 25 villages, there are villages with few cattle keepers, but these keep large herds, so in terms of cattle population, it's not negligible Knowledge SharingTanzaniaMorogoroTangaKilosaMvomeroHandeniLushotoabcCountryRegionDistrictVillageMilkIT feed activities in village types a and c. Overarching IP at Regional level and local feed IPs at District level. WardabcabcabcKnowledge SharingFrom Alan Duncan, Email 18Considerations concerning village selection Cattle numbers + number of cattle-keeping households Improved cattle + number of households with improved cattle Market channels:Rural to ruralRural to urbanProduction systemsIntensive/semi-intensiveExtensive Accessibility Knowledge SharingCharacteristics of selected villages District VillageCattle population (no. hds)HHs with cattle (no.)Marketing channelsFarming systemAltitude Access-ibilityTanga LushotoKwang wenda308-Improved102 Rural-urbanIntensive High GoodMagamba1330-Improved330 Rural- urbanIntensive HighGoodHandeni Sindeni4996-Local86 Rural-ruralExtensive Low GoodKabuku121-Local + 60-Improved10-Local + 32-ImprovedRural-ruralExtensive + IntensiveLow GoodMorogoroMvomeroManyinga 298-Improved42 Rural- urbanExtensive Low/highGoodKambala8,614-Local + 354-Improved562-local + 76-ImprovedRural-urbanExtensive + Intensive Low GoodKilosaTwatwatwa 60,317-Local191 Rural-ruralExtensive Low GoodMbwade3745-Local 47 Rural-ruralExtensive Low GoodKnowledge Sharing

Mvomero (left), Kilosa (right) Morogoro Region

Detailed Site Selection in Tanzania

Sindeni

LushotoHandeni Tanga Region Detailed Site Selection in Tanzania