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Topics for Master Theses

Topics for Master Theses at Qualitas AG together with ETH are shown here.

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

  • Lecturer: Peter von Rohr
  • Date: Friday 9-12
  • Room: LFW C 11
  • Exam:
    • Time: 09:15 - 11:15
    • Room: LFW C 11

Exercise Platform

The exercise platform can be used to work on the exercises. The platform can be reached at: http://r4tea.rteastem.org:8787/

The username corresponds to the part of your e-mail address before the @-sign. The password is sent to you by a separate e-mail.

Questions

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

  • Peter von Rohr (peter.vonrohr at gmail.com)

Lecture Program

Week Date Topic
1 21.09 Introduction to Livestock Breeding and Genomics
2 28.09 Quantitative Genetics/Single Locus
3 05.10 Genetic Evaluation with Different Sources of Information
4 12.10 Genetic Covariance Between Relatives
5 19.10 Best Linear Unbiased Prediction - Univariate Analysis
6 26.10 Best Linear Unbiased Prediction - Multivariate Analysis
7 02.11 Models with Random Environmental Effects
8 09.11 Analysis of Longitudinal Data
9 16.11 Variance Components Estimation
10 23.11 Linkage Disequilibrium
11 30.11 Genomic Selection
12 07.12 Genom-Wide Association Studies
13 14.12 Questions, Test Exam
14 21.12 Exam

Material

Course material (notes and slides) and Exercises with Solutions can be downloaded from this section.

More Material

Week Date Topic
1 21.09 Introduction to Linear Algebra and to R/RStudio
2 28.09
3 05.10
4 12.10 Iris Dataset
5 19.10 Special Matrices
6 26.10
7 02.11
8 09.11 Correction for Section 6.2.1
9 16.11 Correction for Mendelian Sampling Term
10 23.11 Verify LDL-decomposition of A
11 30.11 Correction in Solution to Exercise 4
12 07.12
13 14.12
14 21.12 Solutions to Final Exam
NA 14.01 Solutions to Post-Final Exam

Latest Changes: 2019-01-14 15:16:44 (peter)