Standard Operating Procedure for Yam Data Management

The yam breeding generates thousands of genotypic and phenotypic data every year from genetic studies and breeding trials. There is a need for data centralization, curation, management, and sharing. This data-driven approach hinges on strong data management, quality control, and analytics foundations. The breeding program uses data management system called YamBase. The YamBase is used to: (1) track breeding materials, (2) store experimental evaluations, (3) record phenotypic measurements using consistent ontologies, (4) store genotypic information, and (5) manage crossing information and (6) implement algorithms for analysis