Evidence map›Paper›PMID 40924043›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Harnessing historical genebank data to accelerate pea breeding.

Lanique Niels, Jochen Christoph Reif, Lars-Gernot Otto, Vilson Mirdita, Markus Oppermann, Ulrike Lohwasser, Matthias Kotter, Stephan Weise, Samira El Hanafi

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Lanique NielsLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Jochen Christoph ReifLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Lars-Gernot OttoLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Vilson MirditaLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Markus OppermannLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Ulrike LohwasserLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Matthias KotterLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Stephan WeiseLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Samira El HanafiLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany. hanafi@ipk-gatersleben.de.ORCID http://orcid.org/0000-0002-1445-9723

Funding

Bundesministerium für Bildung und Forschung 031B1444AHORIZON EUROPE Framework Programme 101081329Sachsen-Anhalt state LSA I 228
6 · The paper itself

Abstract

The German Federal Ex Situ Genebank for Agricultural and Horticultural Crops (IPK) harbours over 3000 pea plant genetic resources (PGRs), backed up by corresponding information across 16 key agronomic and economical traits. The unbalanced structure and inconsistent format of this historical data has precluded effective leverage of genebank accessions, despite the opportunities contained in its genetic diversity. Therefore, a three-step statistical approach founded in linear mixed models was implemented to enable a rigorous and targeted data curation. Spring accessions revealed considerable breeding potential, with protein content exceeding market standards by almost one-fifth and with hundred grain weight that could match the upper limits reported for European elite varieties. This variation is embedded within structured populations, comprising five convarieties including sugar snaps and field pea, adding value for breeding across diverse morphotypes and market segments. Winter accessions demonstrated cold resilience, with post-winter survival rate up to 79.27% under minimum temperatures as low as - 17.1 °C. This variation is of particular relevance given the limited availability of winter-hardy cultivars able to evade summer drought and heat stresses. Transformation of the IPK Genebank into a bio-digital resource redirects formerly static material into central leverage for plant breeding in view of contemporary challenges. As such, this investigation activated the IPK pea population for use in among others breeding for a wide variety of ideotypes, research into adaptation, and future combination with omics studies.

Indexed as

Pisum sativumPlant BreedingCrops, AgriculturalDatabases, GeneticGenetic VariationPhenotype

Identifiers

PMID40924043
PMCPMC12420702

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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.