Class notes will be distributed during the course, and a Dropbox/Google drive folder will be used to share R code, lectures and exercises. Please bring your personal. R and Rstudio should be installed in your computer to run the analysis.
Students will work with real plant breeding program datasets. For example, we will analyze FHB and stripe rust of our WheatSustain project
The tentative main hub for the course will be the Technical University of Madrid (UPM) at the
Agronomy school. https://goo.gl/maps/F49jFi63iVM2tnHGA
Participants are responsible for their own accommodation. There are many hotel options in the area, please check here
For further information do not hesitate to contact at email@example.com
. Looking forward to seeing
you in Madrid.
Organizers could cancel the course due to unforeseen circumstances (COVID) or if the number of
participants in less than 10 (very unlikely).
Day 1 - May 23th
Quantitative Genetics/R programming
Review of Quantitative genetics/ Quantitative trait loci
Sources of quantitative trait variation
Breeding Values and Heritabilities
Response from selection
Resemblance among relatives
Day 2 - May 24th
Introduction to Genomic Selection / Linear models/ BLUEs / BLUPs.
Big Picture of Genomic selection/ Machine learning approach
Best Linear Unbiased Estimator
Best Linear Unbiased Predictor
Day 3-May 25th
Factors affecting GS/ Optimization/Statistical concepts for GS/ analysis in R
Factors affecting Genomic Selection.
Optimization of GS.
Pedigree vs Kinship matrix
Genotype by Environment interaction
Day 4 - May 26th
Day 5 - May 27th
Summary Genomic Selection
Parental proportion and genomic mating
Future applications of GS