Wednesday, September 21, 2022
| Time | Event | (+) |
| 08:00 - 09:00 | Registration - Registration | |
| 09:00 - 09:15 | Welcome - Speech from the organizers | |
| 09:15 - 10:00 | Julio Isidro y Sánchez - Enabling comparative research through multi-omics data harmonization |
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| 10:00 - 11:00 | Multi-omics data integration - Pawel Krajewski | (+) |
| 10:00 - 10:15 | › eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction - Vincent Segura | |
| 10:15 - 10:30 | › Integration of DNA methylation and transcriptome data im-proves complex trait prediction in Hordeum vulgare - Pernille Bjarup Hansen, Center for Quantitative Genetics and Genomics, Aarhus University, 4200 Slagelse | |
| 10:30 - 10:45 | › Phenomic Selection in a structured hybrid rapeseed population using near-infrared reflectance spectroscopy - Lennard Ehrig, Department of Plant Breeding, Justus Liebig University Giessen | |
| 10:45 - 11:00 | › Beyond QTL effects in quantitative genetics: comparative genomics and machine learning techniques for prediction across populations - Guillaume Ramstein, Aarhus University | |
| 11:00 - 11:30 | Coffee break | |
| 11:30 - 12:15 | Miguel Pérez-Enciso - Loving and hating deep learning | |
| 12:15 - 13:30 | Lunch | |
| 13:30 - 14:15 | Andreas Hund - Phenotyping of crop development to dissect GxE into small-effect responses to environmental covariates |
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| 14:15 - 15:15 | High Throughput Phenotyping - Fred van Eeuwijk | (+) |
| 14:15 - 14:30 | › Genomic selection using information on multiple phenotypic traits and multiple growing environments - Jon BANCIC, The Roslin Institute | |
| 14:30 - 14:45 | › Analysis of longitudinal, image-based canopy cover estimates as a quality indicator in wheat variety trials - Jip Ramakers, Wageningen University and Research | |
| 14:45 - 15:00 | › Illuminating and enhancing wheat breeders' eyes based decisions with drone-based phenomic predictions - Lukas Roth, ETH Zurich, Institute of Agricultural Sciences | |
| 15:00 - 15:15 | › Genetic Factor-Analytic BLUP for Improved Genomic Prediction with High-Dimensional Secondary Traits - Jonathan Kunst, Biometris, Wageningen University and Research | |
| 15:15 - 16:00 | John Hickey - TBA | |
| 16:00 - 16:30 | Coffee break | |
| 16:30 - 17:30 | Diversity Management - Alain Charcosset | (+) |
| 16:30 - 16:45 | › Quantifying the Drivers of Genetic Change in Plant Breeding - Thiago Oliveira, The University of Edinburgh | |
| 16:45 - 17:00 | › Comparison of genomic enabled cross selection criteria for the improvement of inbred line populations - Alice Danguy des Déserts, Syngenta | |
| 17:00 - 17:15 | › Improving the use of plant genetic resources to sustain breeding programs efficiency - Dimitri SANCHEZ, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale), LIDEA | |
| 17:15 - 17:30 | › Artificial intelligence guided allele stacking to develop high yielding, highly resistant varieties - Kai Voss-Fels, Geisenheim University, University of Queensland | |
| 18:00 - 20:00 | Happy poster session (Posters + drinks) |
Thursday, September 22, 2022
| Time | Event | (+) |
| 08:30 - 09:15 | Zulma Vitezica - Genomic prediction with dominance and epistasis |
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| 09:15 - 10:15 | Non Additive Genetic Effects - Chairman: Keith Gardner | (+) |
| 09:15 - 09:30 | › IBD-based mixed model approaches for genetic studies in multi-parent populations (MPPs): additive, epistatic, and QTL-by-environment effects - Wenhao Li, Wageningen University & Research | |
| 09:30 - 09:45 | › Defining the causes and consequences of phantom epistasis in heterotic hybrids - Chin Jian Yang - Scotland's Rural College (SRUC) | |
| 09:45 - 10:00 | › GENOME-BASED PREDICTION OF SUB-GENOME GENETIC INTERACTION EFFECTS IN WHEAT POPULATIONS - David González-Diéguez - International Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera México-Veracruz, Texcoco, Edo. de México, México | |
| 10:00 - 10:15 | › Uncovering directional epistasis in bi-parental populations using genomic data - Simon Rio - AGAP, Université de Montpellier, CIRAD, INRAE, Institut Agro | |
| 10:15 - 10:45 | Coffee break | |
| 10:45 - 11:45 | Others - Chairman: Rex Bernardo | (+) |
| 10:45 - 11:00 | › Effects of systematic data reduction on trend estimation from German registration trials - Jens Hartung - University of Hohenheim | |
| 11:00 - 11:15 | › A comprehensive review of fast algorithms for large-scale genome-wide association studies based on linear mixed models - Yong Jiang - Leibniz Institute of Plant Genetics and Crop Plant Research [Gatersleben] | |
| 11:15 - 11:30 | › Empirical comparison of times series models and tensor product penalised splines for modelling spatial dependence in plant breeding field trials. - Bev Gogel, University of Wollongong | |
| 11:30 - 11:45 | › Understanding the recombination landscape of breeding lines in wheat and barley - Rajiv Sharma - Scotland's Rural College (SRUC), Kings Buildings, West Mains Road, Edinburgh, EH9 3JG, United Kingdom. | |
| 11:45 - 12:00 | Information - Social Event & Gala organized | |
| 12:00 - 13:15 | Lunch | |
| 13:15 - 23:55 | Social Events & Gala - In Paris! |
Friday, September 23, 2022
| Time | Event | (+) |
| 09:00 - 09:45 | Mark Cooper - Revisiting the Breeder’s Equation: Implications of our advancing understanding of trait genome-to-phenome relationships |
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| 09:45 - 10:30 | Gene-by-Environment interaction and Crop Growth Modeling - Chairman: Carlota Vaz Patto | (+) |
| 09:45 - 10:00 | › A framework based on differential equations for the dynamic modelling of crop growth for sets of genotypes - George Van Voorn, Wageningen University & Research | |
| 10:00 - 10:15 | › Functional–Structural Plant Modeling Highlights How Diversity in Leaf Dimensions and Tillering Capability Could Promote the Efficiency of Wheat Cultivar Mixtures - Pierre Barbillon | |
| 10:30 - 11:00 | Coffee break | |
| 11:00 - 11:45 | Emilie Millet - Studying GxE to dissect plant responses to environmental changes: integration of methods and data | |
| 11:45 - 12:30 | Gene-by-Environment interaction and Crop Growth Modeling - Chairman: Dietrich Borchardt | (+) |
| 11:45 - 12:00 | › Quantifying genetic drivers of yield variability of UK cereal crops - Joanna Raymond, University of East Anglia | |
| 12:00 - 12:15 | › Resource allocation optimization for multi-environment trials in cereals breeding - Lucia Gutierrez, University of Wisconsin Madison | |
| 12:15 - 12:30 | › Design of a CIMMYT Australian ICARDA Germplasm Evaluation (CAIGE) experiment using an Incomplete multi-environment trial (IMET) design approach incorporating genetic relatedness - LU WANG, Centre for Biometrics and Data Science for Sustainable Primary Industries | |
| 12:30 - 13:45 | Lunch | |
| 13:45 - 14:00 | Information - Advertising | |
| 14:00 - 15:00 | Gene-by-Environment interaction and Crop Growth Modeling - Chairman: Hans-Peter Piepho | (+) |
| 14:00 - 14:15 | › Meta-analysis of GWAS for studying GxE interactions - Annaïg De Walsche, MIA Paris, INRAE GQE - Le Moulon | |
| 14:15 - 14:30 | › Genomic selection using random regressions on known and latent environmental covariates - Daniel Tolhurst, The Roslin Institute | |
| 14:30 - 14:45 | › learnMET: an R package to apply nonlinear algorithms for genomic prediction using multi-environment trial data - Cathy Westhues, Division of Plant Breeding Methodology, Center for Integrated Breeding Research (CiBreed), University of Göttingen, Computomics | |
| 14:45 - 15:00 | › Revisiting superiority and stability measures in multi-environment trials using genomic data - Humberto Fanelli Carvalho, Centro de Biotecnología y Genómica de Plantas (CBGP-INIA), Universidad Politécnica de Madrid (UPM) – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) Campus Montegancedo-UPM | |
| 15:00 - 16:30 | Closing and Farewell - Closing and Farewell |
