ArticleScientific data2026
Wheat historical phenotypic data from European genebanks as an important resource for research and breeding.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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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1 citing paper in PubMed.
- Integrating plant phenotypic and genotypic data in the AGENT project: a BrAPI service implementation.Bioinformatics (Oxford, England) · 2026Article
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53 authors.
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Abstract
Plant genetic resources are considered a treasure trove of valuable, untapped diversity that holds the key to breeding the crops of the future. However, the use of these resources in breeding is often limited due to the lack of comprehensive phenotypic characterization. The present study provides extensive historical phenotypic data from nine genebanks as a MIAPPE compliant data set. We compiled and curated phenotypic data from 43,293 wheat accessions, encompassing 460,399 data points across 52 traits, including the three core traits of plant height, heading time, and thousand kernel weight from seven decades. The exceptional quality of the presented dataset was highlighted by predominantly high heritabilities. Phenotypic data of such quantity and quality is a crucial resource for unlocking the valuable diversity of plant genetic resources for agricultural advancement.
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