DeltaBreed: A BrAPI-centric breeding data information system

Area of Science:

• Agricultural Science
• Bioinformatics
• Computational Biology

Background:

• Breeding programs require robust data management systems.
• Interoperability between different breeding software is crucial.
• Existing systems may lack species-agnostic capabilities.

Purpose of the Study:

• Introduce DeltaBreed, a unified breeding data management system.
• Describe DeltaBreed v1.0 features and BrAPI v2.1 compliance.
• Demonstrate interoperability with BrAPI-compliant applications.

Main Methods:

• Developed a RESTful microservice architecture for DeltaBreed.
• Utilized BrAPI v2.1 Java Test Server as the primary database.
• Implemented modules for germplasm, observation variables, experiments, genotypic data, and a genomic database.

Main Results:

• DeltaBreed v1.0 is a minimum viable product supporting diverse breeding data.
• Demonstrated successful interoperability with BrAPI-compliant software.
• The system supports polyploid, multiallelic, and SNP genomic data.

Conclusions:

• DeltaBreed is the first species-agnostic, fully BrAPI-compliant system for transactional breeding data management.
• The system facilitates data capture and validation aligned with community standards.
• Future versions will address limitations and expand functionality.