| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
|
|
|
|
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction of Animal Selection |
| Week 2 |
Literature review |
| Week 3 |
Matrix algebra
|
| Week 4 |
Calculating inbreeding and relationship coefficients
|
| Week 5 |
Genetic Evaluation with different Sources of Records |
| Week 6 |
Best linear unbiased prediction with animals models |
| Week 7 |
Variance Component Estimation with the VCE package |
| Week 8 |
Computation of random and fixed effects in animal breeding with the PEST package
|
| Week 9 |
Methods to Reduce the Dimension of Multivariate Models |
| Week 10 |
Use of Genetic Markers in Breeding Value Prediction |
| Week 11 |
Computation of Genomic Breeding Values and Genomic Selection |
| Week 12 |
Non-additive Animal Models |
| Week 13 |
|
| Week 14 |
|
| Week 15 |
|
| Week 16 |
|
| Week 17 |
|
| Week 18 |
|
|
| Evaluation |
| assignment (50%), oral presentation (50%) |
| Textbook & other References |
Linear Models for the Prediction of Animal Breeding Values 3rd Edition, Raphael A. Mrode, CAB International.
Matrix algebra useful for statistics. Searle S. R., 1982, John Willey and Sons, New York. |
| Teaching Aids & Teacher's Website |
|
| Office Hours |
|
| Sustainable Development Goals, SDGs |
| include experience courses：N |
|