- 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 Blackboard site.

- ASCI 330 (Animal Breeding), or its equivalent, is the prerequisites for this course. Please do not enroll in ASCI 431/831until 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]

- 1/10 (T): Overview of course; Introduction to R, RStudio, and HCC clusters [HTML]
- 1/12 (R): Review of basic statistics
- 1/17 (T): UNL classes canceled due to road conditions
- 1/19 (R): Review of basic statistics in R; Review of allele and genotypic frequencies [HTML]
- 1/24 (T): Review of allele and genotypic frequencies in R; Numerator relationship [HTML]
- 1/26 (R): Genome-wide allele frequencies; Expectation and variance of allelic counts [HTML]
- 1/31 (T): Numerator relationship in R [HTML]
- 2/2 (R): Analysis of variance (ANOVA) - repeatability
- 2/7 (T): Analysis of variance (ANOVA) - heritability
- 2/9 (R): Class discussion & Estimating repeatability and heritability using ANOVA in R [P][HTML]
- 2/14 (T): Estimating repeatability and heritability using ANOVA in R
- 2/16 (R): Predicting response to selection
- 2/21 (T): Solutions for HW3
- 2/23 (R): Class discussion & Predicting response to selection 1 [P][HTML]
- 2/28 (T): Midterm exam in-class portion
- 3/2 (R): Predicting response to selection 2
- 3/7 (T): Ordinary least squares and BLUE [HTML]
- 3/9 (R): Pedigree-based BLUP [HTML]
- 3/14 (T): Class discussion & Pedigree-based BLUP [P]
- 3/16 (R): HW4 review & Pedigree-based BLUP & Genomic BLUP [HTML]
- 3/21 (T): Spring break
- 3/23 (R): Spring break
- 3/28 (T): Genomic BLUP
- 3/30 (R): Mixed model equations (MME) [HTML]
- 4/4 (T): SNP-BLUP [HTML]
- 4/6 (R): Class discussion & Economic selection indices for multiple traits [P]
- 4/11 (T): Guest lecture - Dr. Tom Rathje (DNA Genetics)
- 4/13 (R): Guest lecture - Drs. Benny Mote and Matt Spangler (UNL)
- 4/18 (T): Economic selection indices for multiple traits
- 4/20 (R): Class discussion & Economic selection indices for multiple traits [P]
- 4/25 (T): Economic selection indices for multiple traits [HTML]
- 4/27 (R): Economic selection indices for multiple traits & Population structure [HTML]
- 5/2 (T): Final exam - 3:30 to 5:30 p.m.