IRRI’s participation in KALRO’s capacity-building program strengthened Kenya’s national rice research system by advancing technical and digital competencies. Through hands-on training in EBS, Bioflow, and modern breeding practices, the initiative empowered scientists, enhanced institutional collaboration, and reinforced the commitment to accelerating digitally enabled, efficient, and high-impact rice research across the
The Enterprise Breeding System (EBS) is an open-source breeding informatics software being developed for crop breeding programs serving resource-poor farmers in Africa, Asia and Latin America.
EBS connects, merges and builds upon existing breeding software and data solutions to offer a single powerful tool, so that breeders can focus on using data to create better varieties, faster.
Development is led by the CGIAR Excellence in Breeding Platform and the CGIAR Breeding Resources Initiative, which support CGIAR and national agricultural research system programs to adopt the breeding workflows and data management practices required to adopt EBS.
Frequently asked questions:
Easy to use
Perform all breeding tasks, analysis and decisions from a single modern dashboard.
Powerful
Launch advanced analyses that draw upon a wealth of data stored in EBS.
Interoperable
Connect your key applications and databases with EBS.
Configurable
Customize your workflow from the set of tools available and supported by EBS.
Field-ready
Data collected offline can be uploaded later with no loss of integrity.


