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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.
Ian Stavness;Debajyoti Mondal
Jarin Tasnim
Nutrien Ag Solutions
Computer science
Agriculture
University of Saskatchewan
Accelerate
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