Armidale Genetics Summer Course 2026

 

Venue: University of New England, Armidale, NSW Australia

Course Audience: Postgraduate students and other professionals

 

In collaboration with the

A black background with green text

AI-generated content may be incorrect.

 

 

Quantitative Genetics, Prediction and Selection Theory

Teachers:  Professor Agustín Blasco

Universitat Politècnica de València

 

Dates:              Monday 2 February 2026 (9am) - Friday 6 February 2026 (4pm)

 

 

Across a week of lectures and practical sessions, participants will develop a strong understanding of:

 

The course is aimed at postgraduate students, researchers, and industry professionals looking to build or refresh skills in quantitative genetic theory and genetic evaluation.

 

Course program (more detail)

 

SELECTION INDICES

1. Selection indices for one trait

Indices with information from relatives

Indices with information from several traits

2. Selection indices for multiple traits

Economic weights

Indices for multiple traits with individual information

Interlude: Changes in genetic parameters with selection.

 The Bulmer effect

Indices for multiple traits with information from relatives

 

3. Some important features of selection indices

 

BLUP & REML

1. The linear model

The fixed effects model

                                    Interlude: Fixed effects and random effects

The mixed model

2. BLUP

The mixed model equations           

Genetic trends

Other models

BLUP Properties

3. Estimation of genetic parameters

The maximum likelihood method

REML

Genetic parameters estimation

 

BAYESIAN METHODS

1. Bayesian inference

Bayes' theorem

Prior probability

Probability density functions

2. The mixed model in Bayesian inference

Predicting additive values and estimating genetic parameters

Marginalization

Interlude: MCMC

BLUP and REML considered as Bayesian methods

Interlude: Inference on breeding values and genetic parameters under selection

3. The multitrait model

Traits having the same model

Data augmentation

 

GENOMIC SELECTION

1. The model with molecular markers

2. Genomic selection with the infinitesimal model

RR-BLUP

G-BLUP

Single step G-BLUP

3. Gene detection

           GWAS

           The Bayesian alphabet: Bayes A, B, C, Cπ, L, R

 

 

 

 

·        Course Fees:

 

 Fees in AU$

 Students

Academics

Other

Quantitative Genetics, Prediction and Selection Theory

 

550

 

770

 

990

Prices include GST, UNE personnel should not pay GST component

 

 

 

 

Registration deadline: 26 January 2026:  

 

Register online:  Armidale Summer Course registration

 

 

                        UNE staff and students should NOT book online

 

Accommodation

On-campus student accommodation will be available at Robb College, which is approximately a 20-minute walk from the course venue. The college has private rooms with shared amenities. To book on-campus accommodation, click the link [stay.une.edu.au] and follow these instructions:

Click Register and click the link for ‘Register as a Staff member or Guest’
Login
Click Short Stay Bookings
Click Book Here
In the Group Code box – Enter the code here: AABC2026
Click Apply Code
Follow the steps and have a card ready to make an online payment.
If additional nights are required please email
accommodation@une.edu.au

 

Alternatively, find a room off-campus

Note that the town is about 5 km from the campus

 

Bushwalk: The Armidale region has some wonderful national parks, and participants may be interested in staying an extra day after the course to venture out into one of the parks. If there is an interest, we can organise something for Saturday 7 February. If you are interested, please take this into account when you book your travels.

 

Inquiries                 Julius van der Werf    jvanderw  (at)  une.edu.au 

 
or               Dominic Waters         dom.waters  (at)  une.edu.au
 
or             Hassan Aliloo              haliloo (at) une.edu.au
 
 

Materials previous Armidale summer courses

 
 
 back to top

 

 

 

Material of previous years:

 

 

Armidale Genetics Summer Course 2024    Materials

Theory and Tools for Designing Breeding Programs

of Animals and Plants

 

Armidale Genetics Summer Course 2023    Materials

·       Methods and Tool for Genomic Predictions and GWAS in Breeding Programs Daniela Lourenco and Mehdi Sargolzaei         

 

-           COVID break -

Armidale Genetics Summer Course 2020    Materials

·       The Search for Selection: Bruce Walsh and Michael Morrissey

 

Armidale Genetics Summer Course 2019    Materials

·       Introduction to Graphical Models with Applications to Quantitative Genetics and Genomics: Guilherme Rosa and Francisco Peñagaricano          

 

Armidale Genetics Summer Course 2018    Materials

·       Mathematical modeling of infection dynamics in genetically diverse livestock populations: Andrea Doeschl-Wilson and Osvaldo Anacleto

 

Armidale Genetics Summer Course 2017    Materials

·       Genotype by environment interaction in breeding programs: Piter Bijma and Han Mulder   

 

Armidale Genetics Summer Course 2016    Materials

 

Investigating the Genetic Architecture of Complex Traits  & Prediction of Phenotype

from Genome-wide SNPs - Doug Speed and David Balding

 

Armidale Animal Breeding Summer Course 2015   Materials

                 Primer to genomic analysis using R:    Cedric Gondro

                 From Sequence Data to Genomic Prediction:   Ben Hayes and Hans Daetwyler

 

Armidale Animal Breeding Summer Course 2014    Materials

Breeding Program Design with Genomic Selection: Jack Dekkers, Julius van der Werf

 

Armidale Animal Breeding Summer Course 2012    Materials

Statistical Methods for Genome-Enabled Selection: Daniel Gianola, Gustavo de los Campos 

 

Armidale Animal Breeding Summer Course 2011    Materials

·       Statistical methods and design in plant breeding and genomics: Ian Mackay

·       IBD inference in genome association studies: Elizabeth Thompson

 

Armidale Animal Breeding Summer Course 2010    Materials

·       Application of evolutionary algorithms to solve complex problems in quantitative genetics

and bioinformatics:   Brian Kinghorn, Cedric Gondro

·       Bayesian methods in genome association studies:  Dorian Garrick,  Rohan Fernando

 

Armidale Animal Breeding Summer Course 2009    Materials

·       Quantitative Genetic Theory and Analysis- Selection Theory:    Bruce Walsh

·       Quantitative Genetic Models for social interaction and inherited variability: Piter Bijma

 

Armidale Animal Breeding Summer Course 2008      Materials 

·       Genomic Selection:       Ben Hayes

 

Armidale Animal Breeding Summer Course 2007      Materials

·       Generalized Linear Mixed Models:        Steve Kachman

 

Armidale Animal Breeding Summer Course 2006    Materials

·       Gene Expression:          Toni Reverter

·       Breeding Program Design:         Graser, James, Van der Werf

 
Armidale Animal Breeding Summer Course 2005    Materials
·       Breeding Objectives: Gibson, Van der Werf, Kinghorn
·       Scientific Writing:          David Lindsay
·       ASReml:           Arthur Gilmour
 
Armidale Animal Breeding Summer Course 2004    Materials
·       Bayesian for Beginners               Kerrie Mengersen
·       Bayesian Models for QTL analysis        Michel Perez-Enciso
·       Bioinformatics   John McEwan
 

Armidale Animal Breeding Summer Course 2003    Materials

·       Scientific Writing:  David Lindsay
·       Linear Models for animal breeding:   Julius van der Werf, Mike Goddard
·       QTL mapping for practitioners, from linkage to gene: Ben Hayes, Julius van der Werf
 
 back to top