Development of a breeding database for the application of omics technologies in canola variety development

Next generation plant breeding requires bringing together many different types and sources of information about different plant varieties, including their genetic information together with how well they grow in different environments. The best ways to organize and integrate these sources of information within a plant breeding program is not well known. In this project, we will work with Nutrien Ag Solutions to devise and evaluate a breeding database and associated software tools to assist and accelerate their double haploid breeding program in canola. The results of this research will include an optimized database and optimized data workflows that are developed and evaluated through formal human-computer interaction research methods.

Faculty Supervisor:

Ian Stavness;Debajyoti Mondal

Student:

Jarin Tasnim

Partner:

Nutrien Ag Solutions

Discipline:

Computer science

Sector:

Agriculture

University:

University of Saskatchewan