Over the last decade, genomic selection caused a revolution in animal and plant breeding. For long-lived organisms such as forest trees, expected gains from implementation of genomic selection are high: acceleration of breeding cycle, increase of selection intensity and of accuracy of prediction of multi-trait performance, optimal use of individual variation for long-term management of genetic diversity. First proof-of-concepts on Eucalyptus and pines have been reported. The objective of this workshop is to present statistical models and tools used to predict the phenotype of complex traits from genomic data and to discuss the most recent methodological developments from crop and animal breeding which could be of high interest for genomic selection in forest tree species.
The workshop will present in a nutshell three key steps of genomic selection implementation: (1) the optimisation of the training population in which the genomic prediction equation is estimated, (2) the construction of the genomic relationship matrix that replaces the pedigree-based relationship matrix, (3) the prediction of the breeding values with the most appropriate models. For each step, a short talk will introduce theory and concepts and will be followed by demonstrations and guided exercises with computing tools (don’t forget your laptop!). A concluding talk from Zulma Vitezica will highlight recent developments which include inter- and intra-gene interaction effects in prediction.For INRA SELGEN members, please register to the workshop at the bottom of this page
The workshop target audience is faculty, students, researchers and breeders familiar with basic plant breeding theory and genotypic data. There is no specific pre-requisite on genomic selection and prediction tools.
9:00 - 11:00
Key steps of genomic selection implementation (Andres Legarra, Zulma Vitezica)
11:00 - 11:30
11:30 - 12:30
Key steps of genomic selection implementation (Renaud Rincent)
12:30 - 14:00
Lunch (on your own)
14:00 - 16:00
Practical session (Léopoldo Sanchez and Catherine Bastien)
16:00 - 16:30
16:30 - 17:30
Practical session (continuation)
17:30 - 18:30
Gondwana Genomics : marker-assisted selection technologies developed by CSIRO scientists for eucalyptus (read more).
Léopoldo Sanchez Rodriguez (INRA, UAGPF, Orléans)
Quantitative genetics, modeling, methodology of selection and genetic / genomic evaluation. Genetic evaluation, improvement and phenotypic plasticity in Douglas
Catherine Bastien (INRA, UAGPF, Orléans)
Study of the structure and evolution of the genetic diversity of poplar and pine under the effect of natural selection (biotic and abiotic stresses) or artificial (improvement programs)
Andres Legarra (INRA, Animal Genetics, Toulouse)
Development of mathematical methods for the analysis of genetic variability and management of animal populations based on genomic information and for the implementation of genomic selection.
Zulma Vitezica (École Nationale Supérieure Agronomique de Toulouse)
Quantitative genetics, genetics, animal breeding
Renaud Rincent (INRA, Département Biologie et amélioration des plantes, Clermont-Ferrand)
Molecular Biology, Evolutionary Biology, Bioinformatics
Catherine Bastien, Catherine.Bastien@orleans.inra.fr
Leopoldo Sanchez, firstname.lastname@example.org