README.md
In charlotte-ngs/lbgfs2020: Livestock Breeding and Genomics (Fall 2020)
Livestock Breeding and Genomics
Welcome to the website of
Topics for Master Theses
Topics for Master Theses at Qualitas AG together with ETH are available
from
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 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.
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 | 18.09 | Introduction to Livestock Breeding and Genomics |
| 2 | 25.09 | Review of Quantitative Genetics/Single Locus |
| 3 | 02.10 | Genetic Evaluation with Different Sources of Information |
| 4 | 09.10 | Genetic Covariance Between Relatives |
| 5 | 16.10 | Best Linear Unbiased Prediction (BLUP) - Univariate Analysis |
| 6 | 23.10 | BLUP - Additional Aspects |
| 7 | 30.10 | BLUP - Multiple Traits |
| 8 | 06.11 | Variance and Inbreeding |
| 9 | 13.11 | Variance Components Estimation |
| 10 | 20.11 | Genomic Selection |
| 11 | 27.11 | Genom-Wide Association Studies |
| 12 | 04.12 | Review on Selection Index Theory |
| 13 | 11.12 | Questions, Test Exam |
| 14 | 18.12 | Exam |
License
This
work is licensed under a
Creative
Commons Attribution 4.0 International License.
charlotte-ngs/lbgfs2020 documentation built on Dec. 20, 2020, 5:39 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Livestock Breeding and Genomics
Welcome to the website of
Topics for Master Theses
Topics for Master Theses at Qualitas AG together with ETH are available from 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 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.
Questions
Questions can be asked during the lecture and during the exercise hour or via e-mail:
- Peter von Rohr (peter.vonrohr
atusys.ethz.ch)
Lecture Program
| Week | Date | Topic | | ---: | :---- | :----------------------------------------------------------- | | 1 | 18.09 | Introduction to Livestock Breeding and Genomics | | 2 | 25.09 | Review of Quantitative Genetics/Single Locus | | 3 | 02.10 | Genetic Evaluation with Different Sources of Information | | 4 | 09.10 | Genetic Covariance Between Relatives | | 5 | 16.10 | Best Linear Unbiased Prediction (BLUP) - Univariate Analysis | | 6 | 23.10 | BLUP - Additional Aspects | | 7 | 30.10 | BLUP - Multiple Traits | | 8 | 06.11 | Variance and Inbreeding | | 9 | 13.11 | Variance Components Estimation | | 10 | 20.11 | Genomic Selection | | 11 | 27.11 | Genom-Wide Association Studies | | 12 | 04.12 | Review on Selection Index Theory | | 13 | 11.12 | Questions, Test Exam | | 14 | 18.12 | Exam |
License
This
work is licensed under a
Creative
Commons Attribution 4.0 International License.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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