21-23 Sep 2022 Gif-sur-Yvette (France)

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  
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