Quantitative Genetics & Genomics Courses

Course Information

Genetic Prediction

University:

Colorado State University

Course Number:

ANEQ 535

Credit Hours:

1 credit hours - $610 per credit

Start/End Dates:

September 23, 2024 - October 27, 2024

Overview

Course Description

This course will increase student understanding of best linear unbiased prediction and 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. Prerequisite: Linear Models in Animal Breeding

Contacts

Instructor

R. Mark Enns
Office: 970-491-2722
mark.enns@colostate.edu

Campus Coordinator

For course access questions, contact the teaching university’s campus coordinator. For enrollment questions, contact your home university campus coordinator.

Textbooks

Not Required

Course Access

Canvas for CSU

Approximately three weeks before the first day of class at Colorado State University, the CSU campus coordinator, Mary Colasanti, emails course access instructions to students for courses taught by CSU. Using these instructions, students create their Colorado State eID (electronic identity). Students meeting all deadlines for eID creation and submission will have access to RamCT by the first day of class.

Exam Proctor

This course does not require an exam proctor.

Synchronous Components

This course does not include synchronous components.

Information is subject to change.

Please revisit this page again before the semester starts to make sure you have all the current information.

Drops and Refunds:

Students adhere to the drop and refund policies and deadlines of their home university.

Meet Our Faculty

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University Contact

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