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Better livesthrough livestock
Opportunities for improving dairy production
in Burundi
Experience from the ILRI ADGG program
Workshoponsustainable development of Burundi's dairy
sector - PRDAIGL
November 2,2022
Julie Ojango, ChinyereEkine-Dzivenu.
Livestock Genetics
International Livestock Research Institute(ILRI)
2
Statistics on Burundi
Human Population2022: 12.8 million
Populationgrowth rate: 2.7%
Number of small-scalefarmers: 1.6 million
Cattle population2020 (FAOSTAT):628,000
Dairy cattle population?
Main breeds for dairy production: crossbreds
Average milk production per animal: 6 litres/day
3
Cattle production in Africa
▪ Population of indigenous animals whose
performance and characteristics are not well
documented
▪ Introductionof high producing exotic animals
irrespective of prevailing environmentalconditions
▪ Indiscriminate crossbreeding
4
Challenges to cattle production
▪ Small scale of production with high transaction
costs.
▪ Climate change!
▪ Limited feeds available
▪ Endemic diseases
▪ Poor Infrastructure
▪ Lack of data and information systems to inform
management decisions
▪ Weak institutions
This Animal
This Environment
Unfortunately, We move
Animal
Environment
To this
Forgetting that to change this….
To This….
Or to change this….
To This….
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 Year
Kg ECM
Swedish Red (SRB)
Swedish Holstein (SLB)
2% total increase per year
1-1.5% geneticchangeper year
Annual milk yield for SRB & SLB cows 1955-2005
Took Time and Effort
12
Consequences of low production levels
Methane emission per kilogram of milk is
about 4 times higher in the top herds than
in herds thatproduce an averageof 2000kg
of milk
13
How can we change the current status?
14
Challenges facing dairy producers in Africa
• Farmersdo not haveaccess to
productiveand adapted livestock
seedstockthat best suit their
production systems
• Access to various services and inputsis
inadequate,hencegains in
productivity in one generation cannot
be sustained in the next one
• Farmershave very limited access to
informationto enable them extract
optimum benefitsfor their dairy
enterprises
• No systematicand sustainable
breedingor selectiontaking place
Huge differences in productivity by dairy animals in the
different farming systems
15
Addressing the challenges
facing small holder livestock (dairy) systems
through innovative application
of ICT and genomic technology
What is the African Genetic GainProgramabout?
16
About ADGG continued….
ADGG ‘s vision is to see that African smallholder dairyfarmers are continuouslyaccessingmore
productive dairygenetics,breedingand farmer education services and other related input
services enablingtheirfarmingenterprises to be profitable and competitive.
ADGG is designed to address
key challenges facingthe
smallholder dairy systems
through innovativeuse of
genomics and digital
information technology
ADGG’s work includes
developingbreedingvalues,to
drivenational breeding
schemes, usingperformance
data collected in the farmer
production environments
ADDG works in collaboration
with key actors: Farmer
organizations,Research
institutions,National Livestock
seed regulators, National
Agricultural Research and
Extension Systems
17
ADGG approach
o Digital platforms for on-farm
performance tracking
o Decision-support and Farmer-to-Farmer
performance benchmarking
o Smart use of records & genomics tools
for selection and AI service delivery
Establish nationaldata
managementplatforms • Milk Yield
• Milk composition
• Weight
• Reproductive
Performance
• Heat tolerance
• Survival rates
• Lactation persistency
• Mastitis incidences
• Disease tolerance
• Methane emission
• Adaptability Indices
o Target appropriate genotypes to
the agro-ecology
o Use young bulls with a focus on
production & adaptation
o Local feed/fodder resource use
efficiency
Identify Genotypes adapted
to local agro-ecology
Economically and
Environmentally relevant
Traits
Adapted, and
Genetically
superior "seed”
animals for local
production
systems
Accelerate on-farm
genetic gains
•Farmingsystems characteristics
•Characteristics of dairy animals on
farms
•Monitor animal performance
•Monitor use of technologies (eg
Artificial Insemination,vaccination)
•Service providers
Data capture
Country Data platforms
Data Extraction
API Management
System Administration
Data Validation
DATA PLATFORM
Data Feedback
systems
•Customizeddata summaries
•Genomic evaluation
•Customizedindexes foranimal
selection
Analytics
•Managing reproduction
•Managing calves at different stages
•Usinglivestock data fordecisions
•Managing animal health
E-Learningtools
• i-Cow
• Interherd+
Other data bases
The ADGG Platform
The ADGG landing page: https://portal.adgg.ilri.org/
An agile, robust, flexible & scalable system
Phone-basedtools& Apps
Medium and large-scale farm datacapture
20
Achievements: Herds and animals registered in Ethiopia and Tanzania
1863
23321
53417
69101 70750 71942
6458
19898
27296
33324 33502 33693
0
20000
40000
60000
80000
100000
120000
140000
2016 2017 2018 2019 2020 2021
Number
of
records
Animals Ethiopia Animals Tanzania Herds Ethiopia Herds Tanzania
21
Breeds reared in different regions
Visualizationtoolsfor partners e.g. -for NAICs
23
Feedback to farmers
24
• ILRI director general, Jimmy Smith (left) and Minister for Livestock
and Fisheries Luhaga Mpina (2nd to left) present the award for
best bull at a special bull and cow show at the Nane Nane
exhibition center in Dodoma, Tanzania, June 2019. Photo ILR
Milestones&
Achievements
• Ethiopia First dairy animal
parade held on Tuesday March 30,
2020, Fikiru Regessa, State Minister
of Agriculture (extreme left), Selam
Meseret ADGG Ethiopia National
Coordinator (middle), and Asrat
Tera, Director General of National
Animal Genetics Institute (NAGII)
Ethiopia.
25
Genotyping
• In 2018, about 5600 animals sampled
• GeneSeek Genomic Profiler (GGP) Bovine
50K used for genotyping
• 40581 SNPs imputed to high density
• In 2022 an additional 3000 animals sampled
for genotyping per country
Index for selecting seed animals
• Index developed using results from genomic
evaluation to improve milk production
without increasing body weight
26
Sustainability options
Core innovations
Breeding
Herd health
Feed &forage
Capacity
development
Enabling
environment
Integratedtechnologies,knowledge &
services
R4D Programs promote
innovation packages through
DFAs
Systems that support
access to inputs &
services (including
DFA/extension service)
Innovative Value Chain
Financing – farm
operational capital &
input/service providers
AI/AH
Technician
Input suppliers
Cooperatives
Smallholder farmers own
less than 3 milking animals
Dairy Farmer Assistant (DFA)
A shared manager - trains
farmers/manages herds &
catalyze technology demand
Services, data,
information
Digitally Enabled Enterprises
27
✓ Sufficientvariations exist within smallholder
livestock populations to allow for significant
genetic gains
✓ National livestock identification& recordingfor
smallholder systemsis feasible
✓ Genetic improvement is long term and should be
a continuousactivity (Not projects!)
✓ Inter-institutional& country collaborationand
joint evaluationsadds value
✓ Public investmentsand private partnershipsare
needed (Farmersare the criticalpartners) for
sustainability
Data Information/Evidence Knowledge Services/businesses
Take home message…
✓ ICT, genomic tools and reproductivetechnologies
present new opportunities to hasten genetic gains in
low and middle income countries
✓ ICT technologieshave provided a greatopportunity to
crowdsourceanimal performance data from smallholder
farmers in Africa
✓ Genomic evaluation of animals in smallholder systems
helps accelerateidentificationand use of superior
animals
✓ Digital farmer extension and feedback systemsare
catalyzingdesired change in smallholder dairy
production
28
SeveralDigitaltoolsavailable
https://hdl.handle.net/10568/110179
https://hdl.handle.net/10568/110180
https://hdl.handle.net/10568/98250
https://hdl.handle.net/10568/108942
Dairy tool: https://m.learn.ink/ilri)
ADGG Platform-help Module:
https://portal.adgg.ilri.org/sites/default/files/ADGG-
platform-help-module.pdf
- Helpingyour cow to calve:
https://my.learn.ink/course/219ccf98-a46c-4d6a-8dcc-
a15685a65643
- Basic Hygienefor dairy farmers:
https://my.learn.ink/course/8773682a-2c0c-4571-
a429-ea9bdc56ca11
29
Partners
Dairy Farmers & Farmer
organizations
National/regional
Institutions/govts.
THANK YOU

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Opportunities for improving dairy production in Burundi: Experience from the ILRI ADGG program

  • 1. Better livesthrough livestock Opportunities for improving dairy production in Burundi Experience from the ILRI ADGG program Workshoponsustainable development of Burundi's dairy sector - PRDAIGL November 2,2022 Julie Ojango, ChinyereEkine-Dzivenu. Livestock Genetics International Livestock Research Institute(ILRI)
  • 2. 2 Statistics on Burundi Human Population2022: 12.8 million Populationgrowth rate: 2.7% Number of small-scalefarmers: 1.6 million Cattle population2020 (FAOSTAT):628,000 Dairy cattle population? Main breeds for dairy production: crossbreds Average milk production per animal: 6 litres/day
  • 3. 3 Cattle production in Africa ▪ Population of indigenous animals whose performance and characteristics are not well documented ▪ Introductionof high producing exotic animals irrespective of prevailing environmentalconditions ▪ Indiscriminate crossbreeding
  • 4. 4 Challenges to cattle production ▪ Small scale of production with high transaction costs. ▪ Climate change! ▪ Limited feeds available ▪ Endemic diseases ▪ Poor Infrastructure ▪ Lack of data and information systems to inform management decisions ▪ Weak institutions
  • 7. Forgetting that to change this….
  • 9. Or to change this….
  • 11. 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 Year Kg ECM Swedish Red (SRB) Swedish Holstein (SLB) 2% total increase per year 1-1.5% geneticchangeper year Annual milk yield for SRB & SLB cows 1955-2005 Took Time and Effort
  • 12. 12 Consequences of low production levels Methane emission per kilogram of milk is about 4 times higher in the top herds than in herds thatproduce an averageof 2000kg of milk
  • 13. 13 How can we change the current status?
  • 14. 14 Challenges facing dairy producers in Africa • Farmersdo not haveaccess to productiveand adapted livestock seedstockthat best suit their production systems • Access to various services and inputsis inadequate,hencegains in productivity in one generation cannot be sustained in the next one • Farmershave very limited access to informationto enable them extract optimum benefitsfor their dairy enterprises • No systematicand sustainable breedingor selectiontaking place Huge differences in productivity by dairy animals in the different farming systems
  • 15. 15 Addressing the challenges facing small holder livestock (dairy) systems through innovative application of ICT and genomic technology What is the African Genetic GainProgramabout?
  • 16. 16 About ADGG continued…. ADGG ‘s vision is to see that African smallholder dairyfarmers are continuouslyaccessingmore productive dairygenetics,breedingand farmer education services and other related input services enablingtheirfarmingenterprises to be profitable and competitive. ADGG is designed to address key challenges facingthe smallholder dairy systems through innovativeuse of genomics and digital information technology ADGG’s work includes developingbreedingvalues,to drivenational breeding schemes, usingperformance data collected in the farmer production environments ADDG works in collaboration with key actors: Farmer organizations,Research institutions,National Livestock seed regulators, National Agricultural Research and Extension Systems
  • 17. 17 ADGG approach o Digital platforms for on-farm performance tracking o Decision-support and Farmer-to-Farmer performance benchmarking o Smart use of records & genomics tools for selection and AI service delivery Establish nationaldata managementplatforms • Milk Yield • Milk composition • Weight • Reproductive Performance • Heat tolerance • Survival rates • Lactation persistency • Mastitis incidences • Disease tolerance • Methane emission • Adaptability Indices o Target appropriate genotypes to the agro-ecology o Use young bulls with a focus on production & adaptation o Local feed/fodder resource use efficiency Identify Genotypes adapted to local agro-ecology Economically and Environmentally relevant Traits Adapted, and Genetically superior "seed” animals for local production systems Accelerate on-farm genetic gains
  • 18. •Farmingsystems characteristics •Characteristics of dairy animals on farms •Monitor animal performance •Monitor use of technologies (eg Artificial Insemination,vaccination) •Service providers Data capture Country Data platforms Data Extraction API Management System Administration Data Validation DATA PLATFORM Data Feedback systems •Customizeddata summaries •Genomic evaluation •Customizedindexes foranimal selection Analytics •Managing reproduction •Managing calves at different stages •Usinglivestock data fordecisions •Managing animal health E-Learningtools • i-Cow • Interherd+ Other data bases The ADGG Platform The ADGG landing page: https://portal.adgg.ilri.org/ An agile, robust, flexible & scalable system
  • 19. Phone-basedtools& Apps Medium and large-scale farm datacapture
  • 20. 20 Achievements: Herds and animals registered in Ethiopia and Tanzania 1863 23321 53417 69101 70750 71942 6458 19898 27296 33324 33502 33693 0 20000 40000 60000 80000 100000 120000 140000 2016 2017 2018 2019 2020 2021 Number of records Animals Ethiopia Animals Tanzania Herds Ethiopia Herds Tanzania
  • 21. 21 Breeds reared in different regions
  • 24. 24 • ILRI director general, Jimmy Smith (left) and Minister for Livestock and Fisheries Luhaga Mpina (2nd to left) present the award for best bull at a special bull and cow show at the Nane Nane exhibition center in Dodoma, Tanzania, June 2019. Photo ILR Milestones& Achievements • Ethiopia First dairy animal parade held on Tuesday March 30, 2020, Fikiru Regessa, State Minister of Agriculture (extreme left), Selam Meseret ADGG Ethiopia National Coordinator (middle), and Asrat Tera, Director General of National Animal Genetics Institute (NAGII) Ethiopia.
  • 25. 25 Genotyping • In 2018, about 5600 animals sampled • GeneSeek Genomic Profiler (GGP) Bovine 50K used for genotyping • 40581 SNPs imputed to high density • In 2022 an additional 3000 animals sampled for genotyping per country Index for selecting seed animals • Index developed using results from genomic evaluation to improve milk production without increasing body weight
  • 26. 26 Sustainability options Core innovations Breeding Herd health Feed &forage Capacity development Enabling environment Integratedtechnologies,knowledge & services R4D Programs promote innovation packages through DFAs Systems that support access to inputs & services (including DFA/extension service) Innovative Value Chain Financing – farm operational capital & input/service providers AI/AH Technician Input suppliers Cooperatives Smallholder farmers own less than 3 milking animals Dairy Farmer Assistant (DFA) A shared manager - trains farmers/manages herds & catalyze technology demand Services, data, information Digitally Enabled Enterprises
  • 27. 27 ✓ Sufficientvariations exist within smallholder livestock populations to allow for significant genetic gains ✓ National livestock identification& recordingfor smallholder systemsis feasible ✓ Genetic improvement is long term and should be a continuousactivity (Not projects!) ✓ Inter-institutional& country collaborationand joint evaluationsadds value ✓ Public investmentsand private partnershipsare needed (Farmersare the criticalpartners) for sustainability Data Information/Evidence Knowledge Services/businesses Take home message… ✓ ICT, genomic tools and reproductivetechnologies present new opportunities to hasten genetic gains in low and middle income countries ✓ ICT technologieshave provided a greatopportunity to crowdsourceanimal performance data from smallholder farmers in Africa ✓ Genomic evaluation of animals in smallholder systems helps accelerateidentificationand use of superior animals ✓ Digital farmer extension and feedback systemsare catalyzingdesired change in smallholder dairy production
  • 28. 28 SeveralDigitaltoolsavailable https://hdl.handle.net/10568/110179 https://hdl.handle.net/10568/110180 https://hdl.handle.net/10568/98250 https://hdl.handle.net/10568/108942 Dairy tool: https://m.learn.ink/ilri) ADGG Platform-help Module: https://portal.adgg.ilri.org/sites/default/files/ADGG- platform-help-module.pdf - Helpingyour cow to calve: https://my.learn.ink/course/219ccf98-a46c-4d6a-8dcc- a15685a65643 - Basic Hygienefor dairy farmers: https://my.learn.ink/course/8773682a-2c0c-4571- a429-ea9bdc56ca11
  • 29. 29 Partners Dairy Farmers & Farmer organizations National/regional Institutions/govts.