CIP Potato and Sweet Potato Breeding Joins EBS: A Milestone in CGIAR’s Digital Transformation

The International Potato Center (CIP) is taking a major step in CGIAR’s digital transformation by integrating its potato and sweet potato breeding data into the Enterprise Breeding System (EBS). As the first Roots, Tubers, and Bananas (RTB) crops fully managed within EBS, this milestone advances networked, data-driven breeding under CGIAR’s Breeding for Tomorrow vision. Through this integration, CIP enhances efficiency, transparency, and data stewardship, paving the way for faster development of climate-resilient, farmer- and consumer-preferred varieties while reinforcing CGIAR’s unified, secure, and sustainable breeding data ecosystem.

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Strengthening Breeding Capacity through Digital Innovation: IRRI Conducts EBS End-User Training in Tanzania

From 8–13 September 2025, IRRI conducted Enterprise Breeding System (EBS) End-User Training in Tanzania, engaging researchers from IRRI and TARI across Uyole and Dakawa stations. Led by Michael Gituma, the sessions enhanced digital capacity, strengthened collaboration, and empowered participants to apply EBS for more efficient, data-driven breeding practices.

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IRRI Hosts Train-the-Trainer Program on Enterprise Breeding System (EBS)

From September 8–12, 2025, IRRI hosted a Train-the-Trainer program on the Enterprise Breeding System (EBS) for PhilRice selected staff. The five-day course-built skills in system management and data handling, empowering participants to strengthen institutional capacity, promote EBS adoption, and advance collaborative, data-driven breeding across national programs.

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Latest EBS version features enhanced integration and flexibility

By: Stephanie Manrilla
24 July, 2025

The Enterprise Breeding System (EBS) just released its second quarter version for 2025.

Here are the highlights:

⚡Dynamic landing page of the Molecular Data Analysis tool, providing only the most relevant information based on a user’s input,

🔎QTL profiling workflow support to fast-track identification of desired alleles,

📈Store and analyze time-series data using integrated tools,

🔁Regenerate randomization to update parameter set details,

đŸŒ±Specify number of samples needed for selected plots for genotyping, and

📍Provide geospatial coordinates to accurately locate planting sites.

Read about the rest of the new features, improvements, and fixes here.