This document summarizes plans and activities for artificial insemination programs in Ethiopia and Tanzania. In Ethiopia, the goal is to strengthen local capacity for doorstep delivery of AI services to smallholder farmers. Key activities include training 500 public and private AI technicians, providing AI services to over 140,000 farmers, and upgrading semen supply infrastructure. In Tanzania, the goal is to establish sustainable private channels for delivering improved genetics. Key activities include training 300 AI technicians to perform over 871,000 inseminations, training over 84,500 farmers, and upgrading the national semen bank. Challenges and solutions are also discussed, such as addressing limited cattle access for training and meeting targets for recruiting female AI

1. Public Private
Partnership for
Artificial
Insemination
Delivery (PAID)
MORE PRODUCTIVE COWS
Land O’ Lakes
African Dairy Genetic Gains Program Annual Planning
Meeting

2. AI Tech Performance. Doorstep
delivery 800 techs, 1.8 million
Inseminations. IN PROGRESS
Increase farmer demand.
AI tech and other extension services
to 225 000 smallholders PLANNED
Work with NAIC to upgrade semen
supply chain infrastructure .
LN2 and NAIC facility reviews done.
Planned maintenance, training and
equipment
Component 1
Component 2
Component
3
Reminder Project goals – MORE PRODUCTIVE
COWS

3. Farmers
spend
What gives more
productive cows
20%
Forage
20%
Management
& Housing
60%
Genetics
65%
Feed
35%
Management &
Housing
< 5%
genetics

4. Education on animal health – educate farmers. Resources
Limited and this is the future to drive AI
Equip AI techs to educate
farmers in animal health
Performance monitoring
system
˃ FOLLOWING THE NATIONAL ID SYSTEM. WITH OUR
DATA CAPTURE, EID, DATA BASE- FUTURE
POSSIBILITIES FOR LARGER NATIONAL PROGRAMS

5. PAID’s working BMGF Partner
• Establishing national breed registry
• Identify productive parent stock (bull dams & bulls)
• Establish breeding policy and plan DRAFT GUIDELINES
• Establish performance collection & feedback system
IN PROGRESS
Africa Dairy
Genetic Gains
(ADGG)
• Improve quality of service providers IN PROGESS
• Improve cow readiness to breed Education planned
• Improve quality of inputs and supply chain
management IN PROGRESS
Public Private
Partnership for AI
Delivery (PAID)
˃ A CRTICAL PARTNER CAPTURING DATA
* Each program country has stakeholder planning meeting that feeds Global Advisory Committee meeting,
scheduled for Feb/Mar 2017

6. Dynamic Issues and Solutions
TANZANIA ETHIOPIA
Establishing a local partnership.
Difficulties faced by multi national
company. Registered, partnered with
local company. Cash- not forthcoming/
government/ previous issues? ABEA
registered investing in people, logistics,
offices. Subaward directed at AITechs.
NAIC. Total Government, but no regular
budget support. Equipment and bulls
unavailable. NAIC no LN2. Reviews of
NAIC with input from Nathaniel; DH
Industries; IMV; ABS New Zealand. Plan>
business plan – maintenance, training to
ensure supply chain functioning. PPP
Government is a partner, but LOL is
seen in the light of previous history
(USAID)- expect budget on some
issues, time. MOU with Gov. &
Regional Subawards in place. Based
on incentives to AITechs managing
with regional Coordinators
Command economy/MNCs are
expressing interest (4 MNCs: ABEA,
Genus, CRV and Semex). Early
stages.
Political unrest result in delays.
.

7. Challenges Continued….
Tanzania Continued.
Access to finance by private entrepreneurs
encouraged, but deposit base low, default
rate in Tz at highest seen, lack of
knowledge on financing AI industry and
smallholders. PAID has incorporated
advance to AITechs within a subaward
which is effectively canceled based upon
performance. In addition encouraged
AITechs to use one bank and we will create
a 12 month track record of revenue and
expenses to educate the Banks on AItechs
as individual small business operator.
Ethiopia Continued.
Subsidies not viable for private sector, threat to
sustainability of this program. Currently working with
existing SME`s Companies to take on AITechs. We will then
have small subawards to incentivize attached AITechs.
Ideally, MNCs and local firms link and set up distribution
channels. The trick will be to have these pilot projects
financially viable and non government employees …future?

8. Challenges Continued…
Responsible Management – PAID
business training
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. PAID Training &
links electronic to AITechs limited…

9. Ethiopia Overview
Ethiopia

10. Ethiopia Overview
Objectives
Strengthen local capacity for doorstep delivery of reliable AI services
Support, incentivize, and monitor the performance of 500 public and private on-farm AI service
providers who will provide technical training on improved dairy cow management to at least
140,500 smallholders and deliver approximately 1 million AI services and other dairy production
inputs and services
Enable NAIC to ramp up its production and distribution of quality frozen semen (including
crossbred semen)

11. Implementation Strategy
• 1 mill. AI Services
• 320000 improved calves
• 80% of AI Techs
• Public – transit to
private/sustainable service
• Private – sustainable service
Effective AI Delivery
CAPACITY BUILDING
• Training
• Review and upgrade/update NAIC
curriculum
• TOT (23) AIT Master Trainers
• AITFCs (14)
• 5 FPs + 14 AITFCs on Data Capture
• AI Techs (500)
• Farmers (140500)
• Equipping AI Techs (500)
• Strengthening LN2 & AICs
• 4 LN2 plants & 1 AIC supported
• 10 Techs trained on LN2 Plant
operator and maintainance
• 14 lab techs trained on semen
prodn & processing, lab equipt
operation & maintenance
Performance
based Incentive
system
Performance
Data Recording
& Feedback
• MoLF/NAIC
• Reg. BoLF & AICs
• Int. Devt. Partners
• Private sector
• Processors
• Genetic Companies
• DCPs/DCUs
• Other dairy firms
• Res. Inst./Centers, ATVETs
• Farmers
• AI Techs
PPP

12. Implementation Architecture
PAID-ET/ LOL
NFP (1)/RFPs (4)
4 RegionsAI Techs (500)
Farmers (140500)
MoLF
NAIC
AITFCs (14)
14 Clusters
105 weredas/districts>2500 Kebelles
Amhara
Oromia
SNNP
Tigray
• 2 Clusters
• 11 Weredas
• 56 AI Techs
• 16860 farmers
• 5 Clusters
• 41 Weredas
• 140 AI Techs
• 47770 farmers
• 4 Clusters
• 39 Weredas
• 108 AI Techs
• 35125 farmers
• 3 Clusters
• 14 Weredas
• 96 AI Techs
• 30910 farmers

13. Program Management & Governance
Regional Steering Committee
National Technical Advisory Committee
Global Advisory Committee
Quarterly – all conducted
Biannual – Jan/Feb 2016
Annual – Jan/Feb 2017

14. Ethiopia Overview
˃ Ethiopia Achievements
˃ MOU signed between MoLF and PAID
˃ Target farmer identified across all four regions
˃ Implementation weredas/districts identified
˃ Regional Focal Person’s (RFP), AI Tech Field Coordinators (AITFC) and AI Technicians
(AITs) identified/selected
˃ AI Technician training
˃ NAIC curriculum reviewed/updated
˃ 23 Master trainers trained
˃ 200 AI Technicians trained w/ new curriculum
˃ 16 RFPs and AITFCs trained on Tablet and Data Capture system
˃ Performance based incentive system jointly developed and established

15. Ethiopia Overview
˃ Ethiopia Achievements…continued
˃ NAIC/AICs
˃ LN2 production and semen viability assessments conducted
˃ NAIC support and LN2 maintenance - underway
˃ Farmers training
˃ Strategy – Formal session and Video Clips
˃ Status – Proposal review/selection – underway
˃ Partner Engagement
˃ ABS NZ (Curriculum upgrade) & ABS TCM (LN2 supply assessment) – complete
˃ USAID/CNFA: Partnership around 100 Private AI Techs
˃ DG: Group Facilitation (TOT and AI Tech Refresher Training)
˃ Seven (7) local Dairy Firms identified/profiled to match 100 Private Techs
˃ Regional sub-awards signed/operational
˃ Approx. 11,000 inseminations conducted (starting Oct)

16. Ethiopia Overview
Challenges and Solutions
Challenges Solution and strategies planned
Number of cows for practical training – Oromia & Tigray Holding government accountable to commitments and
contribution – success with training cows
Meeting program targets for ‘public AI technicians’ Sought and received government’s commitment to train
and recruit new AI technicians. SNNP has already started
training new AI techs.
Meeting program targets for female AITCs • Leverage female public employees with animal
production and health background
• New AI techs training / Ensure selection of women for
new AI techs training
• Women in PAID and none-PAID weredas
Operationalizing ODK application For updates – to work through regional focal persons and
AI Tech Field Coordinitors

17. Year 2 (2017) Budget ($)
Activities Q1 Q2 Q3 Q4 2017
Output/outcome 3. Establish an on-farm information and communication technology (ICT) (digital) platform to capture and
deliver dairy management information to farmers activities
Activity 3.1. Engagement meetings with partners 6300.00
3.1.1. Meeting with ADGG Program Lead/NC
3.1.2. Meeting with DGT Lead/Coordinator
Activity 3.2. Deploy GDT i-Cow 2.0 20418.60
3.2.1. Participate in the development of training materials on improved dairy husbandry, Dairy Cattle Reproduction and
Breeding (AI)
From 2016
3.2.2. Facilitate training of enumerators/AI technicians and AI technician field coordinators on total dairy management and
good animal husbandry.
3.2.3. Participate in designing, development and refinement of data analytical tools
Activity 3.5. Market new modules to farmers on platform 54734.88
3.5.1. Participate in demonstrating value ( improve productivity / efficiency) of feedback to Farmers through use of the Digital
feedback system besides direct feedbacks via AI Technicians (PAID) and DPRAs (ADGG)
3.5.2. Participate in the design and evaluate financial models of cost and income sharing, including use of government
funding where required, and income generation through bundled service delivery
Activity 3.6. Pilot alternative ways for data capture and feedback from farmers 35162.79
3.6.1. Participate in developing and testing new and innovative ways of capturing data from farmers and giving feedback
Activity 3.7. Scale from 2000 to 12,000participating farmers 13953.49
3.7.1. Participate in designing and undertaking marketing and promotional initiatives
Total budget 130,569.80

18. Ethiopia Overview
˃ AI Technicians’ Training Plan
˃ Farmer’s Training Plan
˃ Target Performance Indicators (AI’s, CP’s, LCB)
Variable
Public Private
Male Female Total Male Female Total
Target no of AI techs to be trained 94 106 200 70 30 100
Variable
Formal Farmer Training Women Video Viewer
Groups
Both Strategies
Male Female Total Male Female Total
Target no of farmers to be trained 21075 19425 40500 29750 21075 49175 70250
Next Year’s Plan
Variable
Public AI Techs Private AI Techs
Total
Oromia Amhara SNNP Tigray All Regions
# of AI Techs 70 54 48 28 100 300
No of AIs 37,940 29,268 26,016 15,176 54,200 162,600
No of CPs 15,176 11,707 10,406 6,070 21,680 65,040
No of ILCBs 12,900 9,951 8,845 5,160 18,428 55,284

19. Tanzania Overview
Tanzania

20. Overview
Goal Establish financially sustainable private
channels for delivery of improved local and
imported genetics in Tanzania
2
1
3
AI Technician performance . Door steps delivery of AI services. 300 AI Techs
871 200 inseminations
Increase Farmer demand and readiness for AI services. Provide technical
training on improved dairy cow management to at least 84,500
smallholders dairy farmers .
Upgrade NAIC. To produce and distribute adequate quantities of high
quality semen
Componets

21. Program area
Milk sheds/Regions
 Arusha /Kilimanjaro;
 Tanga:
 Morogoro/Coast/DSM
 Lake zone;
 Iringa;
 Njombe; and
 Mbeya

22. Component 1: AI Technician Performance
 Facilitate training of AI technicians; access to AI equipment and
incentivize- 300 (90) Women;
Inseminations: 871,200;
Improved cattle- 296,208 (148,108 heifers);
Establish and utilize monitoring system to track AI technician
performance in collaboration with the NAIC, ADGG and private
sector partners ( 300 AI Techs).

23. Component 2: Increase Farmer Demand and Readiness for AI
Services
KEY ACTIVITIES
 Training farmers, in whole farm
management -84,500 (59,200
Women);
 Conduct AI technology utilization
promotion campaign through
electronic and print media in
collaboration with Government,
LGAs, Processors, Cooperatives and
AI MNCs.
INSEMINATION

24. Tanzania Overview
Tanzania – Component 1, AI Doorstep Delivery
Achievements
Engaging partners
ABS NZ (after Genus dropped)
MoU signed between ABS and GoT
Creation of Data Collection Forms, migration to ODK (ADGG)
Distribution of LN2 sourced from TOL
Since Oct, 2013 AI’s performed
Completed milkshed, gender and LN2 assessments
Completed AIT refresher training for 177 AITs
Conducted business management, gender and data training for AITs
Facilitated franchisement (by ABEA) of 146 AITs
Improved semen (straws) imported (8,800)

25. Tanzania Overview
˃ Tanzania – Component 1, AI Doorstep Delivery
˃ Achievements…continued
Training of AI Tech Master Trainers at NAIC by ABS-NZ
Signed Phase III agreement with ABEA, includes performance incentive mgt
Key procurements distribution of dewars with AI Shield, tablets and motorbikes
Stakeholder meetings conducted
Formal partnerships established:
Local Government Authorities (LGAs) for training
SNV
EADD
CRI
Training coordinators selected
Familiarized 4410 farmers on benefits of AI

26. Tanzania Overview
Challenges and Solutions
Challenges Solution and strategies planned
Limitations among MNCs on investing in genetics services Review: Prove the model (through ABEA) to demonstrate
farmers willingness to pay for sound service and market to
future MNCs
Financial institutions not interested to finance SME in the
livestock sector including AI Techs
Use of incentive budget to procure up front required
equipment as debit (advance) on AITs future performance.
Reconciled through performance payment (at the 30% rate in
proposal)
Farmers training budget shortfall • Leverage government extension and provision of limited
support
• Leverage ABEA for farmer training
• Coordinate and sequence with other programs
Donor dependence syndrome - expectations of handouts by
Government and farmers
Expectation setting through dialogue and discussion on
potential
Unreliable market for milk vs move to increase cow
productivity through improved genetic (and pay more for it)
Work with SMEs, processors and others to create linkages and
encourage investment into program area. Also, create farmer
demand for AI

27. Tanzania Overview
˃ Plan Year 2017
 Expansion of farmers training to Lake Zone, Coastal Regions, Southern
Highlands – Targeting 62,000 (43,500 women)
 Identify, train, equip an additional 150 AITs to reach franchise target of 300
 Organize women-only AI Tech trainings
 Monitor and fine tune (as needed) performance incentive system to AITs
 Complete 138,000 inseminations, resulting in 49,640 LCBs
 NAIC upgrading – support to improve infrastructures

28. Plan for year 2017
Year 2 (2017)
Activities Q1 Q2 Q3 Q4
Activity 3.1. Engagement meetings with partners
3.1.1. Meeting with ADGG Program Lead/NC
3.1.2. Meeting with DGT Lead/Coordinator
Activity 3.2. Deploy GDT i-Cow 2.0
3.2.1. Participate in the development of training materials on improved dairy husbandry, Dairy Cattle Reproduction and
Breeding (AI)
3.2.2. Facilitate training of enumerators/AI technicians and AI technician field on total dairy management and good animal
husbandry.
3.2.3. Participate in designing, development and refinement of data analytical tools
Activity 3.5. Market new modules to farmers on platform
3.5.1. Participate in demonstrating value ( improve productivity / efficiency) of feedback to Farmers through use of the Digital
feedback system besides direct feedbacks via AI Technicians (PAID) and DPRAs (ADGG)
3.5.2. Participate in the design and evaluate financial models of cost and income sharing, including use of government
funding where required, and income generation through bundled service delivery
Activity 3.6. Pilot alternative ways for data capture and feedback from farmers
3.6.1. Participate in developing and testing new and innovative ways of capturing data from farmers and giving feedback
Activity 3.7. Scale from 2000 to 12,000participating farmers
3.7.1. Participate in designing and undertaking marketing and promotional initiatives

29. Thank you