Program
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 |
|
|
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 |
|
|
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 |
|
|
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 |
|
|
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 |
|
|
