@article{niels2025harnessing,

title = {Harnessing historical genebank data to accelerate pea breeding},

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

doi = {10.1007/s00122-025-05032-5},

issn = {0040-5752, 1432-2242},

year  = {2025},

date = {2025-09-09},

urldate = {2025-09-09},

journal = {Theoretical and Applied Genetics},

volume = {138},

number = {10},

pages = {243},

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.},

keywords = {Agriculture, Breeding program, Cultivar, DiP-DiPisum, Germplasm, Leverage (statistics), Plant Breeding, Population},

pubstate = {published},

tppubtype = {article}

}