Genomic Selection

Genomic Selection


23-27 May 2022
The aim of this course is to provide a basic quantitative and statistical framework to apply GS in a routine manner. In this sense, the course is focusing on the application of plant breeding concepts through practical exercises in R.

The course will provide participants with the relevant theory of GS models, as well as with hands-on experience with relevant GS techniques
  • To have the fundamental knowledge to build GS models from the scratch.
  • To have a basic understanding of the main statistical concepts of GS methods.
  • To learn how to apply GxE models, Multi-trait analysis and Hybrid prediction.
  • To learn about optimal parental contributions and mating designs for multi-criteria breeding.
  • The course is aimed at plant breeder scientists, graduate students, postdocs, and professionals in the field of plant-crop production who are interested to learn concepts in a problem-based learning approach.

    Although, the course is not aimed at researchers with advanced statistical skills. Participants should be familiar with plant breeding and statistical concepts. Course tutorials will use statistical packages in R, and experience in R is recommended but is not essential.

    A certificate of attendance will be provided at the end of the course. This course will be equivalent to 5 credits. For those participants who wish to obtain a certificate of attendance of the equivalence of five credit modules, a series of reading and exercises will be provided before, during and after the course to assure the student achieves the learning outcomes.


    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.


    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 Looking forward to seeing
    you in Madrid.

    Note: Organizers could cancel the course due to unforeseen circumstances (COVID) or if the number of
    participants in less than 10 (very unlikely).
    Day 1 Day 2 Day 3 Day 4 Day 5
    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
  • Linear Models/ANOVA/GLM
  • Fixed-Random Effects
  • 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
  • Imputation
  • Statistical Models
  • Genotype by Environment interaction
  • Day 4 - May 26th
  • Hybrid prediction
  • One-step model
  • Two-Step models
  • Cross-Validations
  • Day 5 - May 27th
  • Summary Genomic Selection
  • Parental proportion and genomic mating
  • Future applications of GS
  • Instructors

    Dr. Julio Isidro Sánchez
    University College Dublin + info
    Genomic Selection
    Dr. Deniz Akdemir
    University College Dublin + info
    Genomic Selection


    Please note the deadline for registering for this program is 5th May 2022.

    These fees include morning and afternoon breaks and one group dinner. Accommodations are not included. There will be a scholarship for a student participant from developing countries. Several factors such as curriculum, country of origin, and cost of travel will be taken into account for the selection of the scholarship award.


    € 950


    € 550