DeltaBreed: A BrAPI-centric breeding data information system
Abstract
DeltaBreed is a unified breeding data management system designed by Breeding Insight (BI, Cornell University) to serve the wide diversity of USDA-ARS specialty crop and livestock breeding programs. DeltaBreed has a RESTful microservice architecture that utilizes the BrAPI v2.1 Java Test Server as its primary database. The system is interoperable with many BrAPI-compliant applications (BrApps), including Field Book v6.1.0, and is continually aligned with the most recent BrAPI specifications (BrAPI v2.1). Here we describe the features of DeltaBreed v1.0, a minimum viable product, and how we aligned data capture and validation with community standards. We highlight the modules for management of germplasm, observation variables, experiments and observations, genotypic sample submission, and a prototype genomic database that supports polyploid and multiallelic genomic data, as well as SNP data. Several test cases are illustrated to demonstrate the successes and challenges of interoperability with other open-source BrAPI-enabled software packages. We also discuss expansion and enhancement plans for future DeltaBreed versions, as well as outline possible solutions to known limitations. To our knowledge, DeltaBreed is the first species-agnostic, fully BrAPI-compliant breeding data management system built for transactional use.
Article Details
Authors (24)
Shawn C. Yarnes
Nick Palladino
Dave J. Meidlinger
David R. Philips
Heather M. Sweeney
Shahana A. Mustafa
Matthew L. Mandych
Sam Bouabane
Tim E. Parsons
Tyler J. Slonecki
Dongyan Zhao
Trevor W. Rife
Bryan J. Ellerbrock
Chaney Courtney
Peter Selby
Lukas A. Mueller
Mirella Flores-Gonzalez
Johan S. Aparicio
Khaled Al-Sham’aa
Sebastian Raubach
Jean-Luc Jannink
Edward S. Buckler
Institute for Genomic Diversity, Cornell University
Craig T. Beil
Moira J. Sheehan
Section of Plant Biology, School of Integrative Plant Science, Cornell University