Aug. 21-Dec. 15, 2017
Class No.: AGRO 906 / NRES 906
Credits: Three graduate credits
The course is only offered for academic credit.
Crop growth simulation modeling is a systematic approach and powerful tool for gaining quantitative and mechanistic understanding of crop-weather-soil-management relationship and interactions, as well as for helping improve and optimize crop management based on growing season characteristics and management options. In the course, principles of theoretical crop production ecology will be explained using state-of-the-art crop simulation models. Structure of crop models and simulation techniques will be illustrated. Applications of crop simulation models will also be demonstrated using practical examples. Students will have the opportunity to gain first-hand experience of running simulations of wide range of scenarios for corn and soybean growth and yield, and interpreting simulation results to serve various purposes..
Offered both a resident and online section, using Blackboard as the Course Management System.
Internet access and email
Reference materials will be distributed during class.
Prerequisite for this graduate course includes plant physiology or agro-climatology. The course will include lectures and hands-on exercises of running model simulations. Online option is available through classroom recording of live classroom lecturing and exercises. For more info or questions, contact instructor, Dr. Haishun Yang, by phone (402) 472-6372 or email email@example.com.
Academic Credit Course: For information on tuition and fees, please visit the Student Accounts website.
Who It's ForAmong those who would benefit from taking this course are:
- Graduate students
- Agronomists and crop consultants
- Extension educators
- Farmers wishing to learn more about crop modeling