- Name: Ron Lewis
- Office: A218i Animal Science Building
- Email: ron.lewis@unl.edu
- Name: Gota Morota
- Office: A218f Animal Science Building
- Email: morota@unl.edu

- Tues./Thurs. 2:00-3:30pm
- Animal Science Building, Room A221

- The instructors will hold office hours as specified on the course Canvas site.

- ASCI 330 (Animal Breeding), or its equivalent, is the prerequisites for this course. Please do not enroll in ASCI 431/831 until you have successfully completed that prerequisite course.

- Demonstrate an understanding of the state-of-the-art applications of animal breeding and quantitative genetics (including their benefits and limitations) to the genetic improvement of livestock within the United States and elsewhere in the world.
- Demonstrate an ability to locate and interpret research results, and recognize the applications of such research to livestock breeding programs.
- Demonstrate an understanding of sources of variation in performance of animals, and the methods used to control or adjust for this variation.
- Predict responses to selection for a broad array of selection situations, including the use of molecular markers.
- Predict average performance of crossbred populations and mean industry values for breeding systems using crosses of several different breeds.
- Plan future breeding program strategies contingent upon the goals that are established.

- [PDF]

- 1/9 (T): Overview of course; Review of basic statistics
- 1/11 (R): Review of basic statistics; Introduction to R [GitHub]
- 1/16 (T): Introduction to R; Review of allele and genotypic frequencies
- 1/18 (R): Review of allele and genotypic frequencies in R; Numerator relationship [HTML]
- 1/23 (T): Numerator relationship
- 1/25 (R): Class discussion; Numerator relationship in R [P][HTML]
- 1/30 (T): Class discussion; Analysis of variance (ANOVA) - repeatability
- 2/1 (R): Computing A and its inverse; Hardy-Weinberg equilibrium test [Slides][HTML][HTML]
- 2/6 (T): Analysis of variance (ANOVA) - repeatability and heritability
- 2/8 (R): No class due to WCGALP
- 2/13 (T): No class due to WCGALP
- 2/15 (R): No class due to WCGALP
- 2/20 (T): Estimating repeatability and heritability using ANOVA in R [HTML]
- 2/22 (R): Class discussion; Predicting response to selection [P]
- 2/27 (T): Midterm exam in-class
- 3/1 (R): Predicting response to selection; ICC R package [HTML]
- 3/6 (T): Pedigree-based BLUP [HTML]
- 3/8 (R): Genome-based BLUP [HTML]
- 3/13 (T): Mixed model equations (MME) [HTML]
- 3/15 (R): SNP-BLUP [HTML]
- 3/20 (T): Spring break
- 3/22 (R): Spring break
- 3/27 (T): Class discussion; MME class example [P]
- 3/29 (R): MME class example
- 4/3 (T): Economic selection indices for multiple traits
- 4/5 (R): Class discussion; Economic selection indices for multiple traits [P]
- 4/10 (T): Economic selection indices for multiple traits
- 4/12 (R): Class discussion; Economic selection indices for multiple traits[P]
- 4/17 (T): Deterministic formulas for genomic prediction [HTML]
- 4/19 (R): Student presentations
- 4/24 (T): Guest lecture - Dr. Dan Moser (Angus Genetics Inc.)
- 4/26 (R): Student presentations
- 5/3 (R): Final exam - 3:30 to 5:30 p.m.