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NOVA PhD Course "Linear Models in Animal Breeding" - Open for Applications

  • Photo: 
    Håkon Sparre

The course will take place on 17-21 Jun. 2018 in Orsa Grönklitt, Sweden.
Application deadline: 1 Apr. 2018.

The course is of 3 ECTS and is organised by Susanne Eriksson, AgrD, Swedish University of Agricultural Sciences (SLU).

NOVA course information web page

Apply here

Course Description
This course in linear models in animal breeding will be based on theoretical lectures alternating with practical computer exercises, mainly in R. The course will include pre-course exercises and literature, and a pre-course online meeting for those who want to ask questions about the exercises.

The course will include sections on linear regression, diagnostic tools for linear regression, linear regression using weighted least squares, maximum likelihood, a brief introduction to generalized linear models, linear mixed models, introduction to GWAS models, and genomic selection using gBLUP, short overviews of dispersion modelling, GLMM, and Bayesian alternatives.

Programme Outline
Lectures and computer exercises will be mixed throughout the day.

  • Day 1
    • Introduction to the course
    • Linear regression
    • Diagnostic tools for linear regression
    • R exercises
  • Day 2
    • Linear regression using weighted least squares
    • Maximum likelihood
    • A brief introduction to generalized linear models
    • R exercises
  • Day 3
    • Linear mixed models – independent random effects
    • Linear mixed models – animal model
    • R exercises
  • Day 4
    • Introduction to GWAS models
    • Introduction to genomic selection using gBLUP
    • R exercises
  • Day 5
    • Linear mixed models
    • Questions and clarifications
    • R exercise
    • Examples of more advanced models
    • Summary of the course

Main Teachers

  • Lars Rönnegård, Professor, SLU
  • Erling Strandberg, Professor, SLU
  • Theo Meuwissen, Professor, Norwegian University of Life Sciences (NMBU)
  • Susanne Eriksson, AgrD, SLU

Please find more information on the course and on how to apply here:

Published 1. February 2018 - 10:06 - Updated 2. March 2018 - 9:55