21-25 May 2018

•          Quantitative Genetics
•          QTL mapping and Association Studies
•         Genome-Wide Scans for Selection / Genotype-by-Environment (GxE) Interaction
•         Breeding Values and Genomic Prediction

•         Understand the utility of genome-wide scans for selection and association studies to improve genomic prediction models
•          Learn how to detect and measure genotype-by-environment (GxE) interaction
•        Introduce the basic concepts of genomic selection and its applications
•          Illustrate the implementation of various models for genomic prediction in R
•      Learn how to validate genomic prediction models
•          Discuss some examples on the usefulness of genomic selection

Bring your own laptop with the following programs installed:

1. Last version of R: https://www.r-project.org/
2. Last version of the package BGLR: https://cran.r-project.org/web/packages/BGLR/index.html
3. Last version of Tassel: http://www.maizegenetics.net/tassel
4. Last version of Java SE runtime environment (64 bits): http://www.oracle.com/technetwork/java/javase/downloads/index.html

Botanisches Museum, Königin-Luise-Straße 6-8, Berlin

Day 1. Basics in population genetics and quantitative genetics (linkage and linkage disequilibrium, co-ancestry, breeding values), breeder’s equation.

Day 2. Basics in QTL mapping, design and analyses of multi‐environment trials, methods for estimating genotype-by-environment (GxE) interaction.

Day 3. Basics in genome-wide scan for selection and association studies.

Day 4. Phenotypic and genotypic variances, covariance between relatives, basic genetic models, methods for estimating and predicting breeding values.

Day 5. Complexity of genomic prediction, methods for genomic prediction coupled with GWAS and some empirical results.

Please click HERE to get all the information about our packages.

Application deadline is: April 20^th, 2018.