Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Maziwa Zaidi (More Milk) in Tanzania―Best-bet technologies and innovations: Artificial insemination business centres

48 views

Published on


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


Published in: Science
  • Be the first to comment

  • Be the first to like this

Maziwa Zaidi (More Milk) in Tanzania―Best-bet technologies and innovations: Artificial insemination business centres

  1. 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 0 2000 4000 6000 8000 10000 12000 14000 16000 NumberofInseminations Regions REGIONAL ANNUAL AI PERFORMANCE OCTOBER 2016 - SEPTEMBER 2019 2016 2017 2018 2019

×