Monday 20 June, 09.00-12.30
Chairs: Leopoldo Sánchez-Rodríguez (INRAE, France), Chedly Kastally (University of Helsinki, Finland)
Keynote: Laurence Moreau (GQE-Le Moulon, INRAE; France)
Session structure:
09.00-09.05 Chairs’ introduction
09.05-09.45 Keynote
09.45-10.40 Regular talks
10.40-11.00 Break
11.00-11.50 Regular talks
11.50-12.30 Flash talks
Session description:
Genomic innovations in the last decade have led to promising improvements in the way tree breeding is conducted. Considerable benefits are expected from this new source of information: the shortening of breeding cycles, the rationalising of phenotyping in terms of costs, and the improved predictive and explanatory analyses decrypting phenomes, to name a few. At the same time, genomic data open up new possibilities for a better monitoring and long-term management of genetic diversity in breeding and conservation programs, which is essential for a challenging future. To leverage these new data to their full potential, methodological developments and proof-of-concept initiatives are required, not only for genome-wide predictions for which substantial advancements already exists in most domesticated species including some forest trees, but also by accounting for new ways of evaluating tree performance that are sensible to underlying interactions at genomic, environmental and conspecific levels. Last but no least, insights are needed on the impacts that these new developments could bring at the organisation level of the breeding programs. The aim of this session is to showcase methods harnessing new genomic technologies developed for forest tree breeding and illustrate using case studies the possibilities offered by these approaches, including their impacts to the breeding sector.
Keynote: Laurence Moreau (GQE-Le Moulon, INRAE; France)
Use of genomic selection to better manage and enrich genetic diversity in breeding programs. Application to maize.
Download the presentation as a pdf
Laurence Moreau1*, Antoine Allier1,2,3, Stéphane Nicolas1, Delphine Madur1, Cyril Bauland1, Christina Lehermeier3, Simon Teyssèdre3, Dimitri Sanchez1, Brigitte Gouesnard4, Alain Charcosset 1
1Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, Gif-sur-Yvette, France; 2Syngenta, 31790 Saint-Sauveur, France; 3RAGT, 12510 Druelle, France;4 AGAP, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France
Genetic diversity is of key importance for the success of breeding programs and their potential to adapt to new challenges. Genomic selection (GS) offers new prospects to accelerate genetic gain and, in the case of maize, to revisit hybrid selection schemes but it may also accelerate genetic diversity erosion. I will introduce how GS can be combined with Optimal Cross Selection processes to control diversity over time in a closed breeding population (Allier et al., 2019). I will present how GS models calibrated on cooperative panels, ranging from primary genetic resources to recent elite materials, can be used to identify sources of favourable alleles not present yet in a given breeding program (Allier et al., 2020a). I will then present simulation work highlighting the benefit of bridging populations, obtained by crossing genetic resources and elite materials, to incorporate efficiently useful genetic diversity in elite breeding programs (Allier et al., 2020b). Finally, I will introduce how advances in high throughput genotyping of maize landraces should facilitate the identification of those which are original with respect to current breeding pools.
Regular talks:
Each presentation is made of a 20 minutes talk with 4 minutes for questions
| Time schedule | Presenting author | Presentation title | Keywords |
| 09.45 – 10.10 | Victor Papin (INRAE) | Reactions norms for maritime pine (pdf) | Genomic reaction norms, maritime pine |
| 10.10 – 10.35 | Mathieu Tiret (Uppsala University) | Implementation of group selection in forest tree breeding (pdf) | Genomic selection, group selection, breeding, populus nigra |
| 11.00 – 11.25 | Geoffrey Haristoy (CIRAD, INRAE) | Genomic prediction in a multi-generation Eucalyptus globulus breeding population (pdf) | Eucalyptus globulus, genomic selection, progeny validation, pedigree error, breeding program |
| 11.25 – 11.50 | Giorgio Tumino (WUR) | In search for resistance to ash dieback disease in F. excelsior using GWAS and genomic prediction analyses (pdf) | Fraxinus, dieback, GWAS, QTL, genomic prediction |
Flash talks:
Presentations last for 5 minutes and 15 minutes are allocated at the end for questions
| Time schedule | Presenting author | Presentation title | Keywords |
| 11.55 – 12.00 | Ricardo Alia (INIA, CSIC) | Genetic variation for resistance to abiotic and biotic stresses in breeding populations of European forest trees | Genetic variation, field tests, artificial inoculations tests, evaluation in breeding populations |
| 12.00 – 12.05 | Sanna Olsson (INIA, CSIC) | Utility of the 4TREE SNP array in clonal identification of Mediterranean stone pine (Pinus pinea L.) (pdf) | Pines, pine nuts, clonal identification, breeding, SNP array |
| 12.05 – 12.10 | Chiara Biselli (CREA-VE) | Discovery of new sources of resistance against Woolly Poplar Aphid (Phloeomyzus passerinii L.) and integration of QTL mapping and genomic prediction to sustain poplar breeding (pdf) | Poplar, Woolly Poplar Aphid, resistance, QTL mapping, genomic prediction |
| 12.10 – 12.15 | Leopoldo Sánchez (INRAE) | eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction (pdf) | Genomic Prediction, omics, Multi-omics integration, eQTL, Populus nigra |