Wheat historical phenotypic data from European genebanks as an important resource for research and breeding

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.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2026-03-02
DOI
https://doi.org/10.1038/s41597-026-06908-x
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wheat historical phenotypic data from European genebanks as an important resource for research and breeding

Zakaria Kehel, L Vasilescu, Filippo M. Bassi, René Hauptvogel et al.
Scientific Data
Wheat and Barley Genetics and Pathology
article

Wheat historical phenotypic data from European genebanks as an important resource for research and breeding

Zakaria Kehel, L Vasilescu, Filippo M. Bassi, René Hauptvogel, Wiesław Podyma, R. de Blok, Gergana Desheva, Bozhidar Kyosev, Meryem Zaïm, Cătălin LAZĂR, Szymon Puła, Maja Boczkowska, Magdalena Ruiz, T.G. Wijnker, John K. Ruff, Boulos Chalhoub, Wouter Groenink, Aleksandra Pietrusińska, Matthijs Brouwer, Indira Galit, Raphaël Flores, Marcel O. Berkner, Paulina Bolc, Patrizia Vaccino, Adrian Motor, Roel Hoekstra, Beate Schierscher, Sarah Serex, N. Bas, Robbert van Treuren, Matthias Lange, Suman Kumar, Renata Kowalik, Erwan Le Floch, Paul Kersey, Jagadeeshwar R. Etukala, Marta Puchta-Jasińska, Anne-Françoise Adam-Blondon, Mercedes Pallero-Baena, Andrea Visioni, Mandea Vasile, Gabriela Șerban, Francesca Sansoni, Jochen C. Reif, Cristina Marinciu, Mounika Pachipala, Stephan Weise, Cyril Pommier, Laura Reiniers, Eugen Petcu, Diana Martín-Lammerding, Etienne Bardet
article en

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.

Scientific Data
Universidad de Alcalá (ES), Université Paris-Saclay (FR), Royal Botanic Gardens, Kew (GB), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Cereal Research Centre (IT), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (ES), Development Fund (NO), Institut Supérieur du Génie Appliqué (MA), Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) (DE), Institute of Plant Physiology and Genetics (BG), Agroscope (CH), National Agricultural and Food Centre (SK), Plant Breeding and Acclimatization Institute - National Research Institute (PL), Wageningen University & Research (NL)
European Commission
Zero hunger
Openalex Percentile: Top 38%
Wheat and Barley Genetics and Pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.