Session 1

• Introduction to the session by the chair. (Senior scientist Goutam Sahana, QGG- AU)
• Next generation sequence data in gene mapping and genomic prediction: opportunities and challenges. (Senior research scientist Didier Boichard, INRA, France)
• Detection of large chromosomal deletions in cattle and their phenotypic consequences. (PhD Student Md Mesbah Uddin, QGG-AU)
• Using model organisms to study complex diseases across species. (PhD Student Palle Duun Rohde, QGG-AU)
• Allelic imbalance in sequence-based genotyping data. (Professor Torben Asp, MBG-AU)
• Validation of SNPs from a Nordic WGS based GWAS using independent French populations. (PhD Student Andrew Marete, QGG-AU)
• Imputation to whole sequence variants in pigs. (PhD Student Thu Hong Le, QGG-AU)
• Role of rare variants in genomic prediction. (PhD Student Qianqian Zhang, QGG-AU)
• Using expression data to detect small QTL in dairy cattle. (Postdoc Irene van den Berg, University of Melbourne, Australia)

Session 2

• Introduction to the session by the chair. (Professor Mogens Sandø Lund, QGG-AU)
• Predictions across breeds and populations. (Professor Mike Goddard, University of Melbourne, Australia)
• Genomic prediction combining Nordic and US Jersey in models integrating QTL markers. (PhD Student Aoxing Liu, QGG-AU)
• Predicting the effect of reference population on factors influencing the accuracy of across and multi breed genomic prediction. (Postdoc Irene van der Berg, University of Melbourne, Australia)
• Genomic prediction in admixed populations. (PhD Student Sayed Mahdi Hosseini, Ferdowsi University of Mashhad, Iran)
• Combining multi-population data for GWAS on milk fatty acids traits. (PhD Student Grum Gebreyesus, QGG-AU)

Session 3

• Introduction to the session by the chair. (Senior scientist Luc Janss, QGG-AU)
• Genomic selection in wheat and barley. (Professor Ahmed Jahoor, Nordic Seed)
• Genomic selection in tetraploid potato. (Postdoc Elsa Sverrisdóttir, University of Aalborg (AAU))
• Genomic prediction in tetraploid ryegrass. (Postdoc Xiangyu Guo (Luc Janss), QGG-AU)
• Simulation of genomic selection in cereal breeding program. (Postdoc Biructawit Bekele Tessema, QGG-AU)
• Genomic analysis using GBS in mink. (Postdoc Trine Willumsen, QGG-AU)
• Genomic selection in barley for seed quality traits. (PhD student Theresa Ankamah-Yeboah, University of Copenhagen (KU))

Session 4

• Introduction to the session by the chair. (Senior scientist Peter Sørensen, QGG-AU)
• Estimation of non-additive variance components and SNP effects in five dairy cattle breeds. (PhD Student Andrew Marete, QGG-AU)
• GxE in ryegrass. (Postdoc Christiana Paina, MBG-AU)
• Environmental variation partitioned into separate heritable components. (Palle Duun Rohde, PhD, QGG-AU)
• The Times They Are a-Changin: Bayesian estimation of direct and correlated response to genetic selection on linear or ratio expressions of feed efficiency in pigs. (Mahmoud Shirali, QGG-AU)
• A GxE model for cereals. (Postdoc Fabio Cericola and professor Just Jensen, QGG-AU)
• Genomic model with correlation between additive and dominance effects. (Postdoc Tao Xiang, QGG-AU)    

Session 5

• Introduction to the session by the chair. (Senior scientist Ole Christensen, QGG-AU)
• Robust alternatives to best linear unbiased prediction of complex traits. (Professor Daniel Gianola, University of Wisconsin-Madison, USA)
• Efficient multi-trait SNP models for prediction of genomic breeding values. (Senior Scientist Luc Janss, QGG-AU)
• Accounting for genetic architectures of traits in multi-trait genomic prediction using GBLUP. (Postdoc Emre Karaman, QGG-AU)
• Multi-trait genomic prediction in small-scale recorded traits using correlation at genomic segments with large-scale recorded traits (PhD Student Grum Gebreyesus, QGG-AU)
• APY in software DMU. (Postdoc Viktor Milkevych, QGG-AU)
• An overview of REML estimation of variance components: flaws and solutions. (Postdoc Beatriz Castro Dias Cuyabano, QGG-AU)
• Integrating metabolomics and genomics. (Assistant Professor Pernille Merete Sarup, QGG-AU)   

Session 6

• Introduction to the session by the chair. (Professor Theo Meuwissen, NMBU, Norway)
• Estimation of inbreeding in the genomics era. (PhD Student Qianqian Zhang, QGG-AU)
• Optimum contribution selection using weighted SNP information to control rates of inbreeding and increase genetic gain. (Senior Scientist Mark Henryon, SEGES)
• Implementing genomic selection in CGIAR breeding in perspective. (Professor Søren Rasmussen, University of Copenhagen (KU))
• Alternative genomic relationship matrices and measures to control inbreeding in genomic optimum contribution selection. (PhD Student Gebreyohans Gebregiwergis, NMBU, Norway)
• Break-even genetic correlation related to GxE using genomic selection (PhD student Lu Cao, QGG-AU)