Harnessing historical genebank data to accelerate pea breeding

Area of Science:

• Agricultural Science
• Genetics
• Bioinformatics

Background:

• The German Federal Ex Situ Genebank for Agricultural and Horticultural Crops (IPK) holds over 3000 pea plant genetic resources (PGRs).
• Historical data on pea PGRs is unstructured and inconsistent, limiting the effective use of genetic diversity.
• There is a need to curate and leverage this valuable genetic resource for modern plant breeding.

Purpose of the Study:

• To implement a rigorous and targeted data curation approach for pea genetic resources at IPK.
• To evaluate the breeding potential and resilience of pea accessions within the genebank.
• To transform the IPK Genebank into a bio-digital resource for contemporary plant breeding challenges.

Main Methods:

• A three-step statistical approach using linear mixed models was employed for data curation.
• Analysis of agronomic traits including protein content and hundred grain weight for spring accessions.
• Assessment of cold resilience and post-winter survival rates for winter accessions.

Main Results:

• Spring pea accessions show significant breeding potential, with protein content exceeding market standards and high hundred grain weight.
• The pea population comprises five convarieties, offering diverse breeding opportunities across market segments.
• Winter accessions exhibit notable cold resilience, with survival rates up to 79.27% at -17.1°C, valuable for climate adaptation.

Conclusions:

• The curated IPK pea collection is a valuable bio-digital resource for plant breeding.
• The findings highlight the potential for breeding improved pea ideotypes with enhanced protein content and stress resilience.
• This activated pea population is crucial for research into adaptation and future integration with omics studies.