Integrating plant phenotypic and genotypic data in the AGENT project: a BrAPI service implementation

Area of Science:

• Agricultural science
• Bioinformatics
• Genomics

Background:

• The AGENT project created a network of European genebanks for wheat and barley.
• Separate databases were used for phenotypic and genotypic data due to storage needs.

Purpose of the Study:

• To address challenges in integrating dispersed genebank data.
• To enable data access through a single interface using the Plant Breeding Application Programming Interface (BrAPI).

Main Methods:

• Discussed challenges in data integration for BrAPI.
• Developed a BrAPI proxy to combine separate BrAPI endpoints.
• Demonstrated the AGENT BrAPI implementation with a validation example.

Main Results:

• Consistent mappability of genebank data to the BrAPI model enables effective services.
• BrAPI facilitates transparent linking of distributed data via unique identifiers.
• A BrAPI proxy solution was successfully implemented and demonstrated.

Conclusions:

• The BrAPI proxy effectively merges dispersed genebank data.
• This integration facilitates linking phenotypic, genotypic, and passport data for research.
• The AGENT BrAPI implementation provides a model for accessing distributed crop genetic resources.