- Class Dates
- 09/25/2023 to 10/29/2023
- Units
- 1.0
- Delivered By
- Online Asynchronous
- Instructor(s)
-
Jennifer Bormann
(jbormann@ksu.edu) - Meeting Times
- Meets by Appt
- Meeting Location
- Distance Education
Genetic Prediction
ASI 871 - Class Number: 14500
Description:
The goal of this course is to increase student understanding of best linear unbiased prediction and to develop skills in genetic prediction. A wide array of material will be covered with emphasis on real-world datasets designed to develop applied analytical skills relative in animal breeding. Topics will include data integrity diagnosis, contemporary grouping strategies, adjusting for known non-genetic effects, the AWK Programming Language, UNIX/Linux scripting, and use of the Animal Breeder’s Toolkit to perform genetic evaluations. Students will develop procedures for the utilization of various sources of information for the calculations of predictions of genetic merit in the form of estimated breeding values.
- This course is part of the Quantitative Genetics program in the AG IDEA consortium and is taught by CSU. Please contact gpideacc@ksu.edu for permission to enroll.
Permissions:
- Instructor Jennifer Bormann's permission is always required.
Student Requirements:
- Internet access
- This course is part of the Quantitative Genetics program in the AG IDEA consortium and is taught by CSU. Please contact gpideacc@ksu.edu for permission to enroll.
Prerequisites:
- ASI 870: Linear Models in Animal Breeding
- Enrollment Dates
- 03/20/2023 to 07/21/2023
- Enrollment Limit
- 10
Credit/Tuition Options
Enrollments received on or after the first day of class may be assessed a $65 special handling fee.
Courses in Kansas State University’s new tuition and fees structure charge by program type — campus-based or online — versus by individual course delivery format. Tuition and fees rates are available at k-state.edu/costs.