Poster prepared by J.M.K. Ojango, J. Rao, R. Mrode, E. Oyieng, C. Ekine, E. Lyatuu, J.Balakana, C. Kavishe, A.M. Okeyo for the Maziwa Zaidi Agribusiness Forum, Moshi, Tanzania, 17 October 2019
Maziwa Zaidi (More Milk) in Tanzania―Best-bet technologies and innovations: Artificial insemination business centres
1. Maziwa Zaidi (More Milk) in Tanzania: Best-bet
Technologies and Innovations
Artificial insemination business centres
J.M.K. Ojango, J. Rao, R. Mrode, E. Oyieng, C. Ekine, E. Lyatuu, J.Balakana, C. Kavishe, A.M. Okeyo
KEY MESSAGE
Individual AI service providers working in isolation rather
than collectively presents a bottleneck in the supply of
quality AI. This makes AI an expensive service.
Need to collaborate and improve efficiency of AI services
and requisite skills
Need to understand AI supply chain: inputs, skills,
networks and linkages
Need to use data platform to support AI service provision
Opportunities and benefits
AI Service providers: Bulk procurement, lower AI delivery costs,
Expanded client base
Farmers: Better Quality of AI service, increased confidence in AI
Regulators: lower costs of regulation, metrics/ measures on AI
Agro-Vets: Opportunity to diversify into AI service and thus grow
their business
Genetic supply companies: coordination and efficiency in the AI
supply chain
Pictures
Suitability
What do you need to use the technology
- Reliable genetic supply companies selling Semen and
associated AI supplies
- Pool/cluster of livestock service providers operating in a
defined area with diverse skills sets (AI, AH, Extension) eg
joint enterprises (SNV)
- Information platform that supports efficient service delivery
Evidence
• In Tanzania, First steps have been taken in the ADGG Project
This document has a Creative Commons Attribution 4.0 International Licence. October 2019
March 2017
PROBLEM BEING ADDRESSED
• Low competitiveness of AI service in the Dairy sector
- Low viability of AI as a business without
additional technology intervention options
- High transaction costs associated with single
procurement and uncoordinated mapping of AI
routes
• Mid-stream wastage of Bull semen due to lack of inputs
for AI (liquid nitrogen, semen variety)
• Limited linkages and networking among service providers
to offer best quality services for groups of smallholder
farmers (failure to scale, low levels of income, no
incentive to change)
Maziwa Zaidi thanks all donors and organizations which globally support the work of ILRI and its partners through their contributions to the CGIAR system
Resource requirements (low to high, between 1 and 5)
Labour
Cash
Access to inputs
Knowledge and skills
Impact areas (low to high, between 1 and 5)
Food security
Youth empowerment
Women empowerment
Livelihoods
Market access and linkages
Outcome (low to high, between 1 and 5)
Business profitability
Environmental sustainability
Youth empowerment
Women empowerment
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NumberofInseminations
Regions
REGIONAL ANNUAL AI PERFORMANCE OCTOBER 2016 - SEPTEMBER
2019
2016 2017 2018 2019