Eucarpia Biometrics in Plant Breeding 2022

›8:00 (1h)

Registration

8:00 - 9:00 (1h)

Registration

›9:00 (15min)

Welcome

9:00 - 9:15 (15min)

Welcome

Speech from the organizers

›9:15 (45min)

Julio Isidro y Sánchez
Enabling comparative research through multi-omics data harmonization

9:15 - 10:00 (45min)

Julio Isidro y Sánchez

Enabling comparative research through multi-omics data harmonization

https://eucarpiabiom22.sciencesconf.org/data/program/Abstract.pdf

›10:00 (1h)

Multi-omics data integration
Pawel Krajewski

10:00 - 11:00 (1h)

Multi-omics data integration

Pawel Krajewski

› eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction - Vincent Segura 10:00-10:15 (15min)

› 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 10:15-10:30 (15min)

› Phenomic Selection in a structured hybrid rapeseed population using near-infrared reflectance spectroscopy - Lennard Ehrig, Department of Plant Breeding, Justus Liebig University Giessen 10:30-10:45 (15min)

› Beyond QTL effects in quantitative genetics: comparative genomics and machine learning techniques for prediction across populations - Guillaume Ramstein, Aarhus University 10:45-11:00 (15min)

›11:00 (30min)

Coffee break

11:00 - 11:30 (30min)

Coffee break

›11:30 (45min)

Miguel Pérez-Enciso
Loving and hating deep learning

11:30 - 12:15 (45min)

Miguel Pérez-Enciso

Loving and hating deep learning

›12:15 (1h15)

Lunch

12:15 - 13:30 (1h15)

Lunch

›13:30 (45min)

Andreas Hund
Phenotyping of crop development to dissect GxE into small-effect responses to environmental covariates

13:30 - 14:15 (45min)

Andreas Hund

Phenotyping of crop development to dissect GxE into small-effect responses to environmental covariates

https://eucarpiabiom22.sciencesconf.org/data/program/Abstract_EucarpiaBiometrics_AndreasHund_ETH.docx

›14:15 (1h)

High Throughput Phenotyping
Fred van Eeuwijk

14:15 - 15:15 (1h)

High Throughput Phenotyping

Fred van Eeuwijk

› Genomic selection using information on multiple phenotypic traits and multiple growing environments - Jon BANCIC, The Roslin Institute 14:15-14:30 (15min)

› Analysis of longitudinal, image-based canopy cover estimates as a quality indicator in wheat variety trials - Jip Ramakers, Wageningen University and Research 14:30-14:45 (15min)

› Illuminating and enhancing wheat breeders' eyes based decisions with drone-based phenomic predictions - Lukas Roth, ETH Zurich, Institute of Agricultural Sciences 14:45-15:00 (15min)

› Genetic Factor-Analytic BLUP for Improved Genomic Prediction with High-Dimensional Secondary Traits - Jonathan Kunst, Biometris, Wageningen University and Research 15:00-15:15 (15min)

›15:15 (45min)

John Hickey
TBA

15:15 - 16:00 (45min)

John Hickey

TBA

›16:00 (30min)

Coffee break

16:00 - 16:30 (30min)

Coffee break

›16:30 (1h)

Diversity Management
Alain Charcosset

16:30 - 17:30 (1h)

Diversity Management

Alain Charcosset

› Quantifying the Drivers of Genetic Change in Plant Breeding - Thiago Oliveira, The University of Edinburgh 16:30-16:45 (15min)

› Comparison of genomic enabled cross selection criteria for the improvement of inbred line populations - Alice Danguy des Déserts, Syngenta 16:45-17:00 (15min)

› Improving the use of plant genetic resources to sustain breeding programs efficiency - Dimitri SANCHEZ, Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale), LIDEA 17:00-17:15 (15min)

› Artificial intelligence guided allele stacking to develop high yielding, highly resistant varieties - Kai Voss-Fels, Geisenheim University, University of Queensland 17:15-17:30 (15min)

›18:00 (2h)

Happy poster session (Posters + drinks)

18:00 - 20:00 (2h)

Happy poster session (Posters + drinks)