Course Description
Concepts, implementation, and application of predicting organism phenotypes from genome-wide marker sets. This course covers genomic selection (GS), an application of genome-wide prediction in order to accelerate breeding and reduce phenotyping costs. Course also covers both theory and practice, and requires a good understanding of mixed linear models and genome-wide marker sets.
Athena Title
Genomic Selection
Prerequisite
PBGG(CRSS)(HORT)(PBIO) 8871 or PBGG(CRSS)(HORT)(PBIO) 8872 or permission of department
Pre or Corequisite
PBGG(CRSS)(HORT)(PBIO) 8871 or PBGG(CRSS)(HORT)(PBIO) 8872 or permission of department
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Course Objectives
The objective will be for students to learn concepts, implementation, and application of predicting organism phenotypes from genome-wide marker sets. Learning objectives: 1.Understand the theoretical background of genomic selection. 2.Know what parameters make genomic selection likely to succeed (and what can make it fail). 3.Be able to use several basic genomic selection algorithms and verify that the results are trustworthy.
Topical Outline
Background and purposes of genomic selection (GS) Considerations when designing/performing a GS experiment Relatedness among samples Frequency of model retraining Cross-validation accuracy Gains versus phenotypic selection Types of GS models Ridge Regression gBLUP Bayesian methods Software for performing GS
Syllabus