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Abstract (English)

Plant 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.

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Scientific data, 9 (2022), 784. https://doi.org/10.1038/s41597-022-01891-5. ISSN: 2052-4463

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Schulthess, A. W., Kale, S. M., Zhao, Y., Gogna, A., Rembe, M., Philipp, N., Liu, F., Beukert, U., Serfling, A., Himmelbach, A., Oppermann, M., Weise, S., Boeven, P. H. G., Schacht, J., Longin, C. F. H., Kollers, S., Pfeiffer, N., Korzun, V., Fiebig, A., et al. (2022). Large-scale genotyping and phenotyping of a worldwide winter wheat genebank for its use in pre-breeding. Scientific data, 9. https://doi.org/10.1038/s41597-022-01891-5

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English

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630 Agriculture

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Sustainable Development Goals

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@article{Schulthess2022, doi = {10.1038/s41597-022-01891-5}, doi = {https://hohpublica.uni-hohenheim.de/handle/123456789/16980}, author = {Schulthess, Albert W. and Kale, Sandip M. and Zhao, Yusheng et al.}, title = {Large-scale genotyping and phenotyping of a worldwide winter wheat genebank for its use in pre-breeding}, journal = {Scientific data}, year = {2022}, volume = {9}, }

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