Evidence map›Paper›PMID 39809815›Full record

ArticleScientific data2025

Multi-environment field trials for wheat yield, stability and breeding progress in Germany.

Tien-Cheng Wang, Till Rose, Holger Zetzsche, Agim Ballvora, Wolfgang Friedt, Henning Kage, Jens Léon, Carolin Lichthardt, Frank Ordon, Rod J Snowdon and 4 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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 · 2025
    Review
  10. Article
  11. Breeding in winter wheat (Frontiers in plant science · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Tien-Cheng Wang *Section of Intensive Plant Food Systems, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt Universität zu Berlin, Berlin, Germany.
Till Rose *Department of Agronomy and Crop Science, Christian Albrechts University of Kiel, Kiel, Germany.
Holger ZetzscheJulius Kuehn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany.
Agim BallvoraInstitute of Crop Science and Resource Conservation, Chair of Plant Breeding, University of Bonn, Bonn, Germany.
Wolfgang FriedtDepartment of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany.
Henning KageDepartment of Agronomy and Crop Science, Christian Albrechts University of Kiel, Kiel, Germany.
Jens LéonInstitute of Crop Science and Resource Conservation, Chair of Plant Breeding, University of Bonn, Bonn, Germany.
Carolin LichthardtBundessortenamt, Hannover, Germany.
Frank OrdonJulius Kuehn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany.
Rod J SnowdonDepartment of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany.ORCID http://orcid.org/0000-0001-5577-7616
Andreas StahlJulius Kuehn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany.
Hartmut StützelInstitute of Horticultural Production Systems, Leibniz University Hannover, Hannover, Germany.
Benjamin WittkopDepartment of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany.
Tsu-Wei ChenSection of Intensive Plant Food Systems, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt Universität zu Berlin, Berlin, Germany. tsu-wei.chen@hu-berlin.de.ORCID http://orcid.org/0000-0001-6698-563X

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 031A354Deutsche Forschungsgemeinschaft (German Research Foundation) 419973621Deutsche Forschungsgemeinschaft (German Research Foundation) 442020478Deutsche Forschungsgemeinschaft (German Research Foundation) 518863370
6 · The paper itself

Abstract

Multi-environmental trials (MET) with temporal and spatial variance are crucial for understanding genotype-environment-management (GxExM) interactions in crops. Here, we present a MET dataset for winter wheat in Germany. The dataset encompasses MET spanning six years (2015-2020), six locations and nine crop management scenarios (consisting of combinations for three treatments, unbalanced in each location and year) comparing 228 cultivars released between 1963 and 2016, amounting to a total of 526,751 data points covering 24 traits. Beside grain yield, ten agronomic traits, four baking quality traits, plant height, heading date, maturity date and six fungal disease infection indices are included. Additionally, we provide management records, including fertilizer use, plant protection measures, irrigation, and weather data. We demonstrate how this dataset can address four agronomic questions related to GxExM interactions. Further potential applications of the dataset include empirical analyses, genomic and enviromic analyses for breeding targets, or development of decision-supporting models for agricultural management and policy decisions.

Indexed as

Gene-Environment InteractionPlant BreedingTriticumAgricultureCrops, AgriculturalGenotypeGermany

Identifiers

PMID39809815
PMCPMC11732995

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.