P0346 Structural and Temporal Variation in the Genetic Diversity of a European Collection of Barley Cultivars and Utility for Association Mapping of Quantitative Traits

Alessandro Tondelli , CRA - Genomics Research Centre, Fiorenzuola d'Arda, Italy
Xin Xu , University of Dundee at JHI, Invergowrie, Dundee, United Kingdom
Florian Schnaithmann , Martin-Luther-Universitšt Halle-Wittenberg, Halle/Saale, Germany
Rajiv Sharma , Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
Christina Roenn Ingvardsen , University of Copenhagen, Frederiksberg C, Denmark
Outi Manninen , MTT Agrifood Research Finland, Jokioinen, Finland
Jordi Comadran , The James Hutton Institute, Invergowrie, Dundee, United Kingdom
Bill Thomas , The James Hutton Institute, Invergowrie, Dundee, United Kingdom
Joanne Russell , The James Hutton Institute, Invergowrie, Dundee, United Kingdom
Robbie Waugh , The James Hutton Institute, Invergowrie, Dundee, United Kingdom
Alan H. Schulman , MTT Agrifood Research Finland, Jokioinen, Finland
Klaus Pillen , Martin-Luther-Universitšt Halle-Wittenberg, Halle/Saale, Germany
SÝren K. Rasmussen , University of Copenhagen, Frederiksberg C, Denmark
Luigi Cattivelli , CRA - Genomics Research Centre, Fiorenzuola d'Arda, Italy
Andy Flavell , University of Dundee at JHI, Invergowrie, Dundee, United Kingdom
Within the ERA-PG funded project ExBarDiv (Genomics-assisted analysis and exploitation of barley diversity) we have selected a broad set of ~360 cultivated barley lines to represent the diversity and history of European barley breeding in the 20th century. The genetic diversity of this collection has been analysed using a novel set of ~7000 Illumina iSelect SNP markers derived from barley gene sequences. Trends in the patterning of genetic diversity have been explored in both time (year of introduction in national lists) and space (country of origin). Second, we have tested the utility of this diverse cultivar population and high throughput marker set for discovering useful associations between important quantitative traits and genetically mapped markers. 30 diverse traits have been scored in replicated field trials across Europe and the results compared against the genotype data. Promising marker-trait associations will be presented.