ArticleScientific data2022
Large-scale genotyping and phenotyping of a worldwide winter wheat genebank for its use in pre-breeding.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed.
- Pheno-App 2.0 - a mobile app for collecting phenotypic data in plant research.Journal of integrative bioinformatics · 2026Article
- Unlocking the potential of spring wheat genetic resources: uncovering resistance sources against leaf rust and yellow rust.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Discovering putative novel stem rust resistance loci in wheat genetic resources.The plant genome · 2026Article
- Wheat historical phenotypic data from European genebanks as an important resource for research and breeding.Scientific data · 2026Article
- Genomic Insights into Winter Wheat Breeding for Severely Cold Climates.International journal of molecular sciences · 2026Article
- Crop wild relatives of legumes: evolutionary resources for climate-responsive pre-breeding.Frontiers in plant science · 2026Review
- Order from entropy: big data from FAIR data cohorts in the digital age of plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Foliar disease resistance phenomics of fungal pathogens: image-based approaches for mapping quantitative resistance in cereal germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Breaking down data silos across companies to train genome-wide predictions: A feasibility study in wheat.Plant biotechnology journal · 2025Article
- Enhancing the breeding gene pool of wheat using accessions in gene banks as demonstrated by the Watkins collection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genotyping Genebank Collections: Strategic Approaches and Considerations for Optimal Collection Management.Plants (Basel, Switzerland) · 2025Review
- Tracing post-domestication historical events and screening pre-breeding germplasm from large gene pools in wheat in the absence of phenotype data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Curation of historical phenotypic wheat data from the Czech Genebank for research and breeding.Scientific data · 2024Article
- What plant breeding may (and may not) look like in 2050?The plant genome · 2024Review
- Trait-customized sampling of core collections from a winter wheat genebank collection supports association studies.Frontiers in plant science · 2024Article
- Wheat (Triticum aestivum) chromosome 6D harbours the broad spectrum common bunt resistance gene Bt11.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Finding needles in a haystack: identification of inter-specific introgressions in wheat genebank collections using low-coverage sequencing data.Frontiers in plant science · 2023Article
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Corrections and comments
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Authors and funding
25 authors.
Funding
Abstract
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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