Last Updated:  September 4, 2003

OBJECTIVES:

1. To introduce the basics of quantitative genetics.
2. To study linear model methods for genetic evaluation of animals.
3. To review practical applications of animal models to different species.

1. Assignments - one per lecture - due next lecture.
2. Weekly exams - in class, closed book, calculator.
3. Final exam - Scheduled oral exam - up to 30 minutes.

INSTRUCTOR:  L. R. Schaeffer
      lrs@sherlock.aps.uoguelph.ca

COURSE CONTENT:
 
 

Week 1	Lecture 1	Set 1	Single locus models, Major genes, Hardy-Weinberg Equilibrium
	Lecture 2	Set 1	Gametic relationships, Drift, Inbreeding
Week 2	Lecture 3	Set 1	Mutations, Non-random mating
	Lecture 4	Set 2	Two locus models, Epistasis, Linkage Equilibrium
Week 3	Lecture 5	Set 3	Matrix algebra
	Lecture 6	Set 3	Rank, Independence, Generalized inverses
Week 4	Lecture 7	Set 4	Writing a Model, Regression Model
	Lecture 8	Set 4	Estimation, Analysis of Variance
Week 5	Lecture 9	Set 5	General linear hypothesis, Connectedness
	Lecture 10	Set 6	Classification models, Estimability, Hypothesis testing
Week 6	Lecture 11	Set 7	Prediction, Mixed model equations
	In Class		Mid-Term Examination
Week 7	Lecture 12	Set 8	Genomic Relationships, Inverse
	Lecture 13	Set 9	Additive Relationships, Inbreeding, Pedigree handling
Week 8	Lecture 14	Set 10	Animal Models, Phantom Parent Groups
	Lecture 15	Set 11	Non-additive genetic models
Week 9	Lecture 16	Set 12	Repeated Records Model
	Lecture 17	Set 13	Maternal Effects Model
Week 10	Lecture 18	Set 14	Random Regression Models
	Lecture 19	Set 14	Applications of RRM
Week 11	Lecture 20	Set 15	Multiple Trait Models
	Lecture 21	Set 16	Comparison of Models
Week 12	Lecture 22	Set 17	Selection bias
	Lecture 23	Set 18	Threshold Models

 

OTHER TOPICS OF INTEREST:

1. Statistical Background
2. History of Methods

Exercises and Exams

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