Large-scale genotyping and phenotyping of a worldwide winter wheat genebank for its use in pre-breeding

Author:

Schulthess Albert W.ORCID,Kale Sandip M.,Zhao YushengORCID,Gogna AbhishekORCID,Rembe Maximilian,Philipp Norman,Liu Fang,Beukert Ulrike,Serfling Albrecht,Himmelbach Axel,Oppermann MarkusORCID,Weise StephanORCID,Boeven Philipp H. G.,Schacht Johannes,Longin C. Friedrich H.,Kollers Sonja,Pfeiffer Nina,Korzun Viktor,Fiebig Anne,Schüler Danuta,Lange MatthiasORCID,Scholz UweORCID,Stein NilsORCID,Mascher MartinORCID,Reif Jochen C.ORCID

Abstract

AbstractPlant genetic resources (PGR) stored at genebanks are humanity’s crop diversity savings for the future. Information on PGR contrasted with modern cultivars is key to select PGR parents for pre-breeding. Genotyping-by-sequencing was performed for 7,745 winter wheat PGR samples from the German Federal ex situ genebank at IPK Gatersleben and for 325 modern cultivars. Whole-genome shotgun sequencing was carried out for 446 diverse PGR samples and 322 modern cultivars and lines. In 19 field trials, 7,683 PGR and 232 elite cultivars were characterized for resistance to yellow rust - one of the major threats to wheat worldwide. Yield breeding values of 707 PGR were estimated using hybrid crosses with 36 cultivars - an approach that reduces the lack of agronomic adaptation of PGR and provides better estimates of their contribution to yield breeding. Cross-validations support the interoperability between genomic and phenotypic data. The here presented data are a stepping stone to unlock the functional variation of PGR for European pre-breeding and are the basis for future breeding and research activities.

Funder

Bundesministerium für Bildung und Forschung

Bundesministerium für Ernährung und Landwirtschaft

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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