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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3 November, 2025

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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18 September, 2025

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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18 September, 2025

IITA crop programs push for digital and seamless data collection with EBS

By: Stephanie Manrilla
24 July, 2025

Breeding programs require high-quality and timely data to inform the efficient production of high-yielding, climate-resistant, and nutritious crops. This is often hampered by conventional field data collection practices, which can be tedious to manage and prone to errors and losses.

To address these data challenges, the International Institute of Tropical Agriculture (IITA) has implemented the Enterprise Breeding System (EBS), the CGIAR-preferred breeding data management system, since 2024. A key part of the commitment is to utilize digital data collection tools to fast-track and fool-proof practices.

As field data collection is an inherently collaborative activity, a 2-day workshop for field staff and breeders was conducted to demonstrate the cross-platform integration between EBS and the Field Book mobile application on 14-15 April 2025 at IITA Headquarters in Ibadan. Simon Imoro (EBS Training Lead) highlighted that the digital data collection process preserves data quality so that it can accurately inform breeding decisions.

Breeding technicians and supervisors across the maize, soybean, and cowpea programs maximized the seamless connection powered by Breeding API (BrAPI). So far, the cowpea program has already adopted the end-to-end workflow consisting of the key steps:

    1. syncing of experiment occurrences and traits from EBS to Field Book,

    2. digital data capture,

    3. syncing of collected data from Field Book to EBS,

    4. data quality control, and

    5. generating computed trait data.

Soon, the maize and soybeans programs will be doing the same for their 2025 season data.

To further support more crop programs, guidelines on the best practices for digital data collection using EBS and Field Book was also shared across the CGIAR network.

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