ArticleScientific data2019
Historical phenotypic data from seven decades of seed regeneration in a wheat ex situ collection.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Wheat historical phenotypic data from European genebanks as an important resource for research and breeding.Scientific data · 2026Article
- 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
- Curation of historical phenotypic wheat data from the Czech Genebank for research and breeding.Scientific data · 2024Article
- Genetic gains in IRRI's rice salinity breeding and elite panel development as a future breeding resource.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genomic prediction reveals unexplored variation in grain protein and lysine content across a vast winter wheat genebank collection.Frontiers in plant science · 2023Article
- Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines.Rice (New York, N.Y.) · 2022Article
- Open-source analytical pipeline for robust data analysis, visualizations and sharing in crop breeding.Plant methods · 2022Article
- Optimizing predictions in IRRI's rice drought breeding program by leveraging 17 years of historical data and pedigree information.Frontiers in plant science · 2022Article
- Opportunities and limits of controlled-environment plant phenotyping for climate response traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- Genomic prediction models trained with historical records enable populating the German ex situ genebank bio-digital resource center of barley (Hordeum sp.) with information on resistances to soilborne barley mosaic viruses.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat.Science advances · 2021Article
- Agro-Morphological, Yield, and Genotyping-by-Sequencing Data of Selected Wheat (Frontiers in genetics · 2021Article
- Historical phenotypic data from seven decades of seed regeneration in a wheat ex situ collection.Scientific data · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genebanks are valuable sources of genetic diversity, which can help to cope with future problems of global food security caused by a continuously growing population, stagnating yields and climate change. However, the scarcity of phenotypic and genotypic characterization of genebank accessions severely restricts their use in plant breeding. To warrant the seed integrity of individual accessions during periodical regeneration cycles in the field phenotypic characterizations are performed. This study provides non-orthogonal historical data of 12,754 spring and winter wheat accessions characterized for flowering time, plant height, and thousand grain weight during 70 years of seed regeneration at the German genebank. Supported by historical weather observations outliers were removed following a previously described quality assessment pipeline. In this way, ready-to-use processed phenotypic data across regeneration years were generated and further validated. We encourage international and national genebanks to increase their efforts to transform into bio-digital resource centers. A first important step could consist in unlocking their historical data treasures that allows an educated choice of accessions by scientists and breeders.
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