Niels Lanique, Reif Jochen Christoph, Otto Lars-Gernot, Mirdita Vilson, Oppermann Markus, Lohwasser Ulrike, Kotter Matthias, Weise Stephan, El Hanafi Samira
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Theor Appl Genet. 2025 Sep 9;138(10):243. doi: 10.1007/s00122-025-05032-5.
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.
德国联邦农业和园艺作物异地基因库（IPK）保存了3000多种豌豆植物遗传资源（PGR），并拥有涵盖16个关键农艺和经济性状的相应信息。尽管这些历史数据具有遗传多样性，但由于其结构不平衡和格式不一致，无法有效利用基因库中的种质资源。因此，实施了一种基于线性混合模型的三步统计方法，以进行严格且有针对性的数据整理。春季种质显示出相当大的育种潜力，蛋白质含量比市场标准高出近五分之一，百粒重可与欧洲优良品种报告的上限相匹配。这种变异存在于结构化群体中，包括五个变种，如甜脆豌豆和大田豌豆，为跨不同形态类型和市场细分的育种增加了价值。冬季种质表现出耐寒性，在低至-17.1°C的最低温度下，冬季后存活率高达79.27%。鉴于能够抵御夏季干旱和热胁迫的耐寒品种有限，这种变异尤为重要。鉴于当代挑战，将IPK基因库转变为生物数字资源，将以前静态的材料重新定位为植物育种的核心力量。因此，这项研究激活了IPK豌豆群体，用于多种理想型育种、适应性研究以及未来与组学研究的结合等。
