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More than 200 breeders and agriculturists
from NARS trained to use modern breeding
management and decision tool (Fig. 1)
Establishment of nodes and migration of
historical data from several breeding
programs in Africa into the BMS tool
15 research scientists trained in Demand-led
variety design approach
SSR genotyping of tubers (banana, cassava),
cereals (rice, maize), tree crops (mango,
eucalyptus), vegetable (bitter leaf), forage,
fish and livestock (cattle, goat) from Sub
Saharan Africa, USA and Ecuador (Fig 2)
SNP genotyping of 3230 samples including
forage, maize, rice, sorghum, fish and sheep
from CG centers (70%), National Agricultural
Research System (NARS) (15%) and the
Program for African Seed System (PASS)
(15%) (Fig. 3).
Genomic assisted breeding jointly
implemented with partners in Tanzania and
Eritrea
Molecular Breeding Platform at the BecA-ILRI Hub:
Supporting breeders in the region
*Nasser Yao, Mary Wambugu, Francesca Stomeo, Mark Wamalwa, Appolinaire Djikeng and *Josephine Birungi
Bioscience Eastern and central Africa, International Livestock Research Institute, Nairobi, Kenya
About the Molecular Breeding Platform
The Breeding platform at the BecA-ILRI Hub aims at enhancing plant breeding and livestock research using modern breeding tools. The platform is built
around three key components: the Breeding Management System (BMS), the Integrated Genotyping Support and Service (IGSS) and the Demand-led
variety design. BMS is a suite of comprehensive tools, embedded in a single place, and commonly used by breeders for their day to day breeding
activities. IGSS is an innovative genotyping service and support to local plant/livestock breeding programs and small and medium enterprises in sub-
Saharan Africa to accelerate the rate of genetic gain, development and release of new crop varieties or improved livestock. Through the demand-led
variety design approach, the breeding platform aims at making plant breeding in Africa a business model responsive to market demand. The platform
also generates and manages genomic and marker data and provides support to breeders and other scientists in integrating DNA marker assays and
genomic tools into their breeding program and research activities for both cultivated and orphaned living organisms (crops and livestock). Major fields
covered under the platform include: 1) training of breeders to make efficient use of breeding decision tools (BMS and IGSS), 2) provision of advice and
guidance in elaborating an holistic breeding strategies (demand-led variety design) using modern breeding tools, 3) genome sequencing-based genetic
profiling and generation of various genotyping data types from low to high throughput facilities, 4) support in populations’ development and data
management followed by required analyses, interpretation of result and supporting scientists to get the suitable breeding decision for the next step, 5)
genome wide association study and 6) genomic selection.
*For more information contact Nasser Yao/Josephine Birungi
N.Yao@cgiar.org/J.Birungi@cgiar.org ● hub.africabiosciences.org
Partner institutions: BecA, DArT, AGRA-PASS, IBP, ACIAR, ACCI, WACCI,
Crawford Fund, EIAR, NACCRI, MARI, JIC, DAS, WorldFish, Syngenta and The
University of Queensland
Funding: BMGF/Syngenta
This document is licensed for use under a Creative Commons Attribution –Non commercial-Share Alike 3.0 Unported License February 2016
Partnerships
Outputs
Modern breeding tool adopted and used in
several breeding programs in eastern,
central and southern Africa including
Ethiopia, Uganda, Tanzania, Sudan and
Kenya
Conversion of historical data and manual
data capture directly into BMS and ready for
use
Major QTL for Maize Lethal Necrosis (MLN)
identified in partnership with CIMMYT
Genetic profiling of 350 rice accessions,
comprising a unique collection of the
African Oryza and key rice germplasms used
by the rice community as parental lines or
elite material, are currently serving several
breeding purposes at the Africa Rice Centre
Institutions (Naliendele Agricultural
Research Institute (NARI) in Tanzania and
the Hamalmelo College of Agriculture,
Eritrea) capacity strengthened in genomic-
based/molecular assisted breeding
Outcomes
• Genetic profiling of key crop and livestock commodities from breeding
programs in Ethiopia, Kenya, Rwanda, Tanzania and Uganda
• Design of product profiles for major crops/livestock
• Development of cultivar development pipelines for major crop/livestock
• Linkage with the Global Open-source Breeding and Informatics Initiative
(GOBII) and Diversity Seek (DivSeek) initiatives
Potential to scale-up
0 5 10 15 20 25 30 35 40 45
Zambia
Cameroon
Cote d'ivoire
Benin
DRC
Burundi
Rwanda
Erithrea
Kenya
Tanzania
Sudan
Uganda
Ethiopia
Number of trainees per country
0 10 20 30 40 50 60 70 80 90 100
Private Sector
CG center
ABCF
NARS
University
Number of trainees per institution
Figure 1: Number of trainees per country and per institution
Figure 3: Number of samples processed per commodity and per institution
under IGSS
0
50000
100000
150000
200000
250000
300000
2009 2010 2011 2012 2013 2014
Numberofsamples
Years
Trends in Genotyping Service Provision
Figure 2: SSR genotyping service provision and trend from 2009 to 2014

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Molecular breeding platform at the BecA-ILRI Hub: Supporting breeders in the region

  • 1. More than 200 breeders and agriculturists from NARS trained to use modern breeding management and decision tool (Fig. 1) Establishment of nodes and migration of historical data from several breeding programs in Africa into the BMS tool 15 research scientists trained in Demand-led variety design approach SSR genotyping of tubers (banana, cassava), cereals (rice, maize), tree crops (mango, eucalyptus), vegetable (bitter leaf), forage, fish and livestock (cattle, goat) from Sub Saharan Africa, USA and Ecuador (Fig 2) SNP genotyping of 3230 samples including forage, maize, rice, sorghum, fish and sheep from CG centers (70%), National Agricultural Research System (NARS) (15%) and the Program for African Seed System (PASS) (15%) (Fig. 3). Genomic assisted breeding jointly implemented with partners in Tanzania and Eritrea Molecular Breeding Platform at the BecA-ILRI Hub: Supporting breeders in the region *Nasser Yao, Mary Wambugu, Francesca Stomeo, Mark Wamalwa, Appolinaire Djikeng and *Josephine Birungi Bioscience Eastern and central Africa, International Livestock Research Institute, Nairobi, Kenya About the Molecular Breeding Platform The Breeding platform at the BecA-ILRI Hub aims at enhancing plant breeding and livestock research using modern breeding tools. The platform is built around three key components: the Breeding Management System (BMS), the Integrated Genotyping Support and Service (IGSS) and the Demand-led variety design. BMS is a suite of comprehensive tools, embedded in a single place, and commonly used by breeders for their day to day breeding activities. IGSS is an innovative genotyping service and support to local plant/livestock breeding programs and small and medium enterprises in sub- Saharan Africa to accelerate the rate of genetic gain, development and release of new crop varieties or improved livestock. Through the demand-led variety design approach, the breeding platform aims at making plant breeding in Africa a business model responsive to market demand. The platform also generates and manages genomic and marker data and provides support to breeders and other scientists in integrating DNA marker assays and genomic tools into their breeding program and research activities for both cultivated and orphaned living organisms (crops and livestock). Major fields covered under the platform include: 1) training of breeders to make efficient use of breeding decision tools (BMS and IGSS), 2) provision of advice and guidance in elaborating an holistic breeding strategies (demand-led variety design) using modern breeding tools, 3) genome sequencing-based genetic profiling and generation of various genotyping data types from low to high throughput facilities, 4) support in populations’ development and data management followed by required analyses, interpretation of result and supporting scientists to get the suitable breeding decision for the next step, 5) genome wide association study and 6) genomic selection. *For more information contact Nasser Yao/Josephine Birungi N.Yao@cgiar.org/J.Birungi@cgiar.org ● hub.africabiosciences.org Partner institutions: BecA, DArT, AGRA-PASS, IBP, ACIAR, ACCI, WACCI, Crawford Fund, EIAR, NACCRI, MARI, JIC, DAS, WorldFish, Syngenta and The University of Queensland Funding: BMGF/Syngenta This document is licensed for use under a Creative Commons Attribution –Non commercial-Share Alike 3.0 Unported License February 2016 Partnerships Outputs Modern breeding tool adopted and used in several breeding programs in eastern, central and southern Africa including Ethiopia, Uganda, Tanzania, Sudan and Kenya Conversion of historical data and manual data capture directly into BMS and ready for use Major QTL for Maize Lethal Necrosis (MLN) identified in partnership with CIMMYT Genetic profiling of 350 rice accessions, comprising a unique collection of the African Oryza and key rice germplasms used by the rice community as parental lines or elite material, are currently serving several breeding purposes at the Africa Rice Centre Institutions (Naliendele Agricultural Research Institute (NARI) in Tanzania and the Hamalmelo College of Agriculture, Eritrea) capacity strengthened in genomic- based/molecular assisted breeding Outcomes • Genetic profiling of key crop and livestock commodities from breeding programs in Ethiopia, Kenya, Rwanda, Tanzania and Uganda • Design of product profiles for major crops/livestock • Development of cultivar development pipelines for major crop/livestock • Linkage with the Global Open-source Breeding and Informatics Initiative (GOBII) and Diversity Seek (DivSeek) initiatives Potential to scale-up 0 5 10 15 20 25 30 35 40 45 Zambia Cameroon Cote d'ivoire Benin DRC Burundi Rwanda Erithrea Kenya Tanzania Sudan Uganda Ethiopia Number of trainees per country 0 10 20 30 40 50 60 70 80 90 100 Private Sector CG center ABCF NARS University Number of trainees per institution Figure 1: Number of trainees per country and per institution Figure 3: Number of samples processed per commodity and per institution under IGSS 0 50000 100000 150000 200000 250000 300000 2009 2010 2011 2012 2013 2014 Numberofsamples Years Trends in Genotyping Service Provision Figure 2: SSR genotyping service provision and trend from 2009 to 2014