PAID (2016-2021)
Gates-funded project in Ethiopia and Tanzania targeting:
PAID will establish financially sustainable private channels and more efficient and
effective government channels for delivery of improved local and imported
genetics in Ethiopia and Tanzania
800 AI Technicians are expected to deliver
1.8 million AI Services
Increase dairy
productivity
Public private
partnerships
farmers
225,000
women
70%
Geographic location and partners
Ethiopia
Smaller PPPs –
command
economy – rapid
growth
49M cattle < 1%
Tanzania
PPP with
multinationals
and gov support
21M cattle < 3%
Outcome 1
Public-private
partnerships for
delivery of
improved
genetics to
smallholder
farmers
21M cattle < 3%
Outcome 2
Increase
adoption of AI
and other
advanced
reproductive and
value-add
services
21M cattle < 3%
Outcome 3
NAICs produce
and distribute
high quality
viable semen
Project goals
Education: Feed & fodder availability
Fodder production and water
PAID extension service &
education
Education on animal health: Educate farmers
Equip AI techs to educate
farmers in animal health
Performance monitoring
system
BMGF Investments & associated program ADGG
• Establishing national breed registry
• Identify productive parent stock (bull dams & bulls)
• Establish breeding policy and plan
• Establish performance collection & feedback system
Africa Dairy
Genetic Gains
(ADGG)
• Improve quality of service providers
• Improve cow readiness to breed
• Improve quality of inputs and supply chain management
Public Private
Partnership for AI
Delivery (PAID)
Dynamic Challenges: The real issues!
TANZANIA ETHIOPIA
Establishing a local partnership.
Difficulties faced by multi national
company. Registered, partnered with
local company. Cash-not forthcoming/
government/previous issues
NAIC. Total Government, but no regular
budget support. Equipment and bulls
unavailable.
Access to finance by private
entrepreneurs encouraged, but deposit
base low, lack of knowledge on
financing AI industry and smallholders.
Government is a partner, but LOL is
seen in the light of previous history
(USAID) - expect budget on some
issues, time.
Command economy
Political unrest result in delays
Subsidies not viable for private
sector, threat to sustainability of this
program.
Continued challenges
Responsible Management
Expectations. Aid program. Farmers.
Distances and no concentration of
smallholders requiring AI. (viability)
Markets for milk will drive the process
for AI. Slow to develop and traditional
consumption
Investment into Dairy Sector limited
Farmer knowledge. Feed systems and
Animal Health, go hand in hand with
Improving Genetics.
The challenge: Dairy demand is higher than supply
Dairy cows producing
2-4 liters of milk per day
Goal: More productive dairy cows
Smallholder ``pull`` to
demand AI services
Improve genetics: Milk yields and markets will drive
smallholder farmer to want AI with improved genetics
PAID partners to train AI technicians
Smallholder ``pull`` to demand AI services
Improve genetics: Milk yields and markets will drive smallholder farmer to want AI with improved genetics PAID partners to train AI technicians
Ambition of 70% women
Geographic Regions (where) ; Potential; And Prime Partners
ETHIOPIA GOVERNMENT 4 Regions PRIME PARTNER & SMALLER PILOT PRIVATE SECTOR PARTNERS.
Very much a Command Economy - rapid growth.
Potential 49 Million Cattle with < 1% improved Cross Breeds. Economy –high growth.
TANZANIA 5 Regions PVT SECTOR PRIME PARTNER
Potential - 21 Million Cattle < 3 % improved Cross Breeds , improving economy with rapid GDP growth
Component 1 has to be through public private partnerships to achieve improved quality and efficiency in genetics to small holder farmers.
Component 2. Increasing Farmer understanding and adoption of AI. BUT this must include improvement on FODDER and ANIMAL HEALTH
Component 3. Work with NAIC to ;Improve semen quality; Liquid Nitrogen plants and delivery system.
300 AI techs trained, 30% women
(Introducing ID and Farmer Feedback systems, cell phone messages.)
AI TECHS TO ID COWS PROVIDE EXTENSION SERVICES ECOURAGE THROUGH INCENTIVE SCHEME TO AI TECHS
By contrast, cows produce up to 30 liters of milk per day in the US
Processors aren’t getting enough milk – demand is higher than supply