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Impact of improved dairy productivity
Sustained increase in income and improved livelihoods
for millions of dairy smallholders
Improved food, nutrition security and health
of the poor households in Sub Saharan Africa
Improved/sustained environmental health
Genomic technologies
Reduced SNP chip to determine breed
composition
Innovative application of genomic
and ICT tools to address the challenge
DGEA & ADGG projects
Generate phenotypic information from livestock production
systems using ICT tools
SNP assays to determine breed composition for matching
genotypes to farmer needs
Use phenotypic and genotypic information generated to
calculate Genomic EBV
Identification and certification of superior cross-bred bulls
Deliver superior bulls to farmers through partnerships with
both public and private sector actors.
A A A
A
A
C
CC
G
C
G
G
GT T
T
TT
1
2
C
A A A
AA
A
C
CC
G
C
G
G
GT T
TT
TT C
A
T
C
G
SNP
183,000data points on the cows collected
77,060inseminations undertaken by PAID
and captured on the ADGG platform
6,600animals sampled
Where we work
Farmers registered
in Ethiopia and Tanzania
ICT tools
Paperless data capture and
feedback tools
Open source software
Contact person: Okeyo Mwai • o.mwai@cgiar.org
Box 30709 Nairobi Kenya • +254 20 422 3000 Nairobi, Kenya • ilri.org
This project is funded by Bill and Melinda Gates Foundation
This document is licensed for use under the Creative Commons Attribution 4.0 International Licence. March 2018. In addition to organizations recognized for specific projects and outputs, we thank all donors which globally supported the work of ILRI and its partners through their contributions to the CGIAR system
www.cgiar.org/our-funders
Data from 2015 to March 2018
The Challenge
Low productivity of dairy cattle in smallholder
farming systems
Genotype x Environment interactions: Diverse
environments, Diverse Genotypes
Highly fragmented small holder farming systems
No documented phenotypic information on
animals
Random use of uncertified bulls in herds
No systematic genetic improvement of livestock
in place, hence no source of improved animals to
change state of smallholder farmers
5000
4000
3000
2000
1000
0
Yield (l)
Harsh Poor
Production environment
Good
Indigenous
X-breed
Exotic
Typical low-input
smallholder environment
Impact of improved dairy productivity
Sustained increase in income and improved
livelihoods for millions of dairy smallholders
Improved food, nutrition security and health
of the poor households in Sub Saharan Africa
Improved/sustained environmental health
42,983households enrolled 2.2MSMS sent to farmers
66,124animals registered
35,346
30,778
at a glanceOptimising productivity and
resilience of dairy cattle for the tropics
Dairy
farmers
National
institutions
RESEARCH
PROGRAM ON
Livestock

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African Dairy Genetic Gains (ADGG) at a glance: Optimising productivity and resilience of dairy cattle for the tropics

  • 1. Impact of improved dairy productivity Sustained increase in income and improved livelihoods for millions of dairy smallholders Improved food, nutrition security and health of the poor households in Sub Saharan Africa Improved/sustained environmental health Genomic technologies Reduced SNP chip to determine breed composition Innovative application of genomic and ICT tools to address the challenge DGEA & ADGG projects Generate phenotypic information from livestock production systems using ICT tools SNP assays to determine breed composition for matching genotypes to farmer needs Use phenotypic and genotypic information generated to calculate Genomic EBV Identification and certification of superior cross-bred bulls Deliver superior bulls to farmers through partnerships with both public and private sector actors. A A A A A C CC G C G G GT T T TT 1 2 C A A A AA A C CC G C G G GT T TT TT C A T C G SNP 183,000data points on the cows collected 77,060inseminations undertaken by PAID and captured on the ADGG platform 6,600animals sampled Where we work Farmers registered in Ethiopia and Tanzania ICT tools Paperless data capture and feedback tools Open source software Contact person: Okeyo Mwai • o.mwai@cgiar.org Box 30709 Nairobi Kenya • +254 20 422 3000 Nairobi, Kenya • ilri.org This project is funded by Bill and Melinda Gates Foundation This document is licensed for use under the Creative Commons Attribution 4.0 International Licence. March 2018. In addition to organizations recognized for specific projects and outputs, we thank all donors which globally supported the work of ILRI and its partners through their contributions to the CGIAR system www.cgiar.org/our-funders Data from 2015 to March 2018 The Challenge Low productivity of dairy cattle in smallholder farming systems Genotype x Environment interactions: Diverse environments, Diverse Genotypes Highly fragmented small holder farming systems No documented phenotypic information on animals Random use of uncertified bulls in herds No systematic genetic improvement of livestock in place, hence no source of improved animals to change state of smallholder farmers 5000 4000 3000 2000 1000 0 Yield (l) Harsh Poor Production environment Good Indigenous X-breed Exotic Typical low-input smallholder environment Impact of improved dairy productivity Sustained increase in income and improved livelihoods for millions of dairy smallholders Improved food, nutrition security and health of the poor households in Sub Saharan Africa Improved/sustained environmental health 42,983households enrolled 2.2MSMS sent to farmers 66,124animals registered 35,346 30,778 at a glanceOptimising productivity and resilience of dairy cattle for the tropics Dairy farmers National institutions RESEARCH PROGRAM ON Livestock