Modelling Canola Growth, Development and Yield in Western Canada

Crop models such as the Agricultural Production Systems sIMulator integrate multiple disciplines such as plant science, soil science and meteorology to understand crop growth, development, and yields under various production systems. Currently, there are no canola crop models employed in western Canada that can assist growers in simulating the impact extreme weather events may have on canola growth and yields. The objectives of the project are to calibrate and validate APSIM as a canola model in western Canada to evaluate the impact extreme weather events have on canola growth and yield. The results of this study will provide Nutrien Ag Solutions validation of their data sets to evaluate canola varieties under varying farm management systems.

Faculty Supervisor:

Linda Gorim;Steve Shirtliffe

Student:

Kristina Polziehn

Partner:

Nutrien

Discipline:

Food science

Sector:

Agriculture

University:

Program:

Accelerate

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