Wheat historical phenotypic data from European genebanks as an important resource for research and breeding.
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Resource type
Journal article
Creator (person)
Le Floch, Erwan
Adam-Blondon, Anne-Françoise
Alaux, Michael
Bardet, Etienne
Bas, Noor
Bassi, Filippo M.
Boczkowska, Maja
Bolc, Paulina
Brouwer, Matthijs
Chalhoub, Boulos
De Blok, Reinhoud
Desheva, Gergana
Etukala, Jagadeeshwar R.
Flores, Raphaël
Galit, Indira
Groenink, Wouter
Hauptvogel, Rene
Hoekstra, Roel
Kehel, Zakaria
Kersey, Paul
Kowalik, Renata
Kumar, Suman
Kyosev, Bozhidar
Lange, Matthias
Lazăr, Cătălin
Marinciu, Cristina
Martín-Lammerding, Diana
Motor, Adrian
Pachipala, Mounika
Pallero-Baena, Mercedes
Petcu, Eugen
Pietrusińska-Radzio, Aleksandra
Podyma, Wiesław
Pommier, Cyril
Puchta-Jasińska, Marta
Puła, Szymon
Reiniers, Laura
Ruff, Joseph
Ruiz, Magdalena
Sansoni, Francesca
Schierscher, Beate
Șerban, Gabriela
Serex, Sarah
Vaccino, Patrizia
Van Treuren, Robbert
Vasile, Mandea
Vasilescu, Liliana
Visioni, Andrea
Weise, Stephan
Wijnker, Erik
Zaim, Meryem
Reif, Jochen C.
Berkner, Marcel O.
Date published
March 2, 2026
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.
Funder
| Funder name | Awards |
Horizon 2020, European Union | AGENT Project, grant agreement no. 862613 |
Journal title
Scientific Data
Publisher
Springer Science and Business Media LLC
Place of publication
Berlin/Heidelberg, Germany
eISSN
2052-4463
Date accepted
February 12, 2026
Official URL
Rights statement
In Copyright
Additional information
IF = 6.9 (2024)