Public Private Partnership for Artificial Insemination Delivery (PAID)MORE PRODUCTIVE COWS
Land O’ LakesAfrican Dairy Genetic Gains Program Annual Planning
Meeting 20-23 February 2017
AI Tech Performance. Doorstep delivery 800 techs, 1.8 millionInseminations. 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
Farmers spend
What gives more productive cows
20% Forage
20% Management
& Housing
60% Genetics
65% Feed
35% Management &
Housing
< 5% genetics
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
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
Dynamic Issues and Solutions
TANZANIA ETHIOPIAEstablishing 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.
.
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?
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…
Ethiopia Overview
Ethiopia
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)
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
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
OromiaSNNP
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
Program Management & Governance
Regional Steering Committee
National Technical Advisory Committee
Global Advisory Committee
Quarterly – all conducted
Biannual – Jan/Feb 2016
Annual – Jan/Feb 2017
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
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)
Ethiopia Overview
Challenges and SolutionsChallenges Solution and strategies plannedNumber 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
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 6300.003.1.1. Meeting with ADGG Program Lead/NC 3.1.2. Meeting with DGT Lead/Coordinator Activity 3.2. Deploy GDT i-Cow 2.0 20418.603.2.1. 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 54734.883.5.1. 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 35162.793.6.1. 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 13953.493.7.1. Participate in designing and undertaking marketing and promotional initiatives Total budget 130,569.80
Ethiopia Overview
˃AI Technicians’ Training Plan
˃Farmer’s Training Plan
˃Target Performance Indicators (AI’s, CP’s, LCB)
Variable Public PrivateMale Female Total Male Female Total
Target no of AI techs to be trained 94 106 200 70 30 100
VariableFormal 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
VariablePublic AI Techs Private AI Techs
Total Oromia Amhara SNNP Tigray All Regions
# of AI Techs 70 54 48 28 100 300No 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
Tanzania Overview
Tanzania
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
Program area
Milk sheds/Regions Arusha /Kilimanjaro; Tanga: Morogoro/Coast/DSM Lake zone; Iringa; Njombe; andMbeya
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).
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
Tanzania Overview
Tanzania – Component 1, AI Doorstep DeliveryAchievements
Engaging partnersABS NZ (after Genus dropped)
MoU signed between ABS and GoTCreation of Data Collection Forms, migration to ODK (ADGG)Distribution of LN2 sourced from TOL Since Oct, 2013 AI’s performedCompleted milkshed, gender and LN2 assessmentsCompleted AIT refresher training for 177 AITsConducted business management, gender and data training for AITsFacilitated franchisement (by ABEA) of 146 AITsImproved semen (straws) imported (8,800)
Tanzania Overview
˃Tanzania – Component 1, AI Doorstep Delivery˃ Achievements…continued
Training of AI Tech Master Trainers at NAIC by ABS-NZSigned Phase III agreement with ABEA, includes performance incentive mgt Key procurements distribution of dewars with AI Shield, tablets and motorbikes
Stakeholder meetings conductedFormal partnerships established:
Local Government Authorities (LGAs) for trainingSNVEADDCRI
Training coordinators selected Familiarized 4410 farmers on benefits of AI
Tanzania Overview
Challenges and SolutionsChallenges Solution and strategies plannedLimitations 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
Limited number of women AI techs Organizing women-only AIT training
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
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
Thank you