Welcome to the website of

• 751-6305-00L Livestock Breeding and Genomics

The course website can be found at: https://charlotte-ngs.github.io/lbgfs2022/

Topics for Master Theses

Topics for Master Theses at Qualitas AG together with ETH are available from

Description

Methods for analysing livestock data, in particular for the estimation of breeding values: principles of selection index, introduction to BLUP, application of common models used, relationship matrix, methods for the estimation of variance components, basics of breeding programs. The material will be illustrated via exercises and assignments.

Information

• Form: Hybrid, virtual participation via zoom possible. Zoom link: https://ethz.zoom.us/j/68262986875
• Lecturer: Peter von Rohr
• Date: Friday 9-12
• Room: LFW C 11
• Exam:
  • written
  • Time: 09:15 - 11:15
  • Room: LFW C 11
  • Datasets available under: https://charlotte-ngs.github.io/lbgfs2022/misc/20221223_exam_datasets.html

Exercise Platform

• Information about the exercise platform can be found at: https://charlotte-ngs.github.io/lbgfs2022/misc/20220923_rexpf_link.html
• The username is: rstudio

Questions

Questions can be asked during the lecture and during the exercise hour or via e-mail:

• Peter von Rohr (peter.vonrohr at usys.ethz.ch)

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Lecture Program

Week	Date	Topic
1	23.09	Introduction to Livestock Breeding and Genomics
2	30.09	Review of Quantitative Genetics/Single Locus
3	07.10	Genetic Evaluation with Different Sources of Information
4	14.10	Genetic Covariance Between Relatives
5	21.10	Best Linear Unbiased Prediction (BLUP) - Univariate Analysis
6	28.10	BLUP - Additional Aspects
7	04.11	BLUP - Multiple Traits
8	11.11	Variance and Inbreeding
9	18.11	Variance Components Estimation
10	25.11	Genomic Selection
11	02.12	Genom-Wide Association Studies
12	09.12	Review on Selection Index Theory
13	16.12	Test-Exam and Questions
14	23.12	Exam

License

This work is licensed under a Creative Commons Attribution 4.0 International License.