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Topics for Master Theses

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

Information

  • Lecturer: Peter von Rohr
  • Date: Montag 8-10
  • Room: zoom-meetings

Exercise Platform

The exercise platform is available under: http://2-htz.quagzws.com:<PORT> where <PORT> must be replaced by the number that you received by E-Mail. The username is ‘rstudio’ and the password is also in the E-Mail.

Description

The following descriptions are taken from the course catalog

Applied Statistical Methods in Animal Science

Genomic selection is currently the method of choice for improving the genetic potential of selection candidates in livestock breeding programs. This lecture introduces the reason why regression cannot be used in genomic selection. Alternatives to regression analysis that are suitable for genomic selection are presented. The concepts introduced are illustrated by excersises in R.

The students are familiar with the properties of multiple linear regression and they are able to analyse simple data sets using regression methods. The students know why multiple linear regression cannot be used for genomic selection. The students know the statistical methods used in genomic selection, such as BLUP-based approaches, Bayesian procedures and LASSO. The students are able to solve simple exercise problems using the statistical framework R.

Genetic Evaluation of Livestock

Swiss routine breeding value estimation/genetic evaluation systems of cattle, pig, sheep and goats are presented with methods and evaluated traits. Examples will be demonstrated using the statistical software R.

The students know the theoretical and practical application of breeding value estimation in Switzerland for cattle, pig, sheep and goats. The students are able to interpret estimated breeding values.

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)

Lecture Program

Week Date Topic
1 22.02 Introduction to Applied Statistical Methods in Animal Science
2 01.03 Linear Fixed Effect Models
3 08.03 GBLUP - Marker-Effects Models
4 15.03 GBLUP - Breeding Value Models
5 22.03 Lasso
6 29.03 Bayesian Approaches
7 05.04 Easter Monday
8 12.04 Introduction to Genetic Evaluation of Livestock
9 19.04 Model Selection
10 26.04 Variance Components
11 03.05 Genetic Groups and Longitudinal Data
12 10.05 Genomic Selection
13 17.05 Questions, Test Exam
14 24.05 Pfingstmontag
15 31.05 Exams

License

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