SNP matrix of barley collection from german ex-situ genbank IPK and ICARDA (International Center for Agricultural Research in the Dry Areas) wheat genebank accessions
Genome-wide prediction approaches are promising for pre-breeding: predicting the performance of plant genetic resources can unlock their hidden potential and fill the information gap in genebanks across the world and, hence, fuel the pipeline of pre-breeding programs. As a proof-of-concept, we evaluated the power of across-genebank prediction for extensive germplasm collections relying on historical data on flowering/heading date, plant height, and thousand kernel weight of 9,344 barley (Hordeum vulgare L.) plant genetic resources from the German Federal ex situ Genebank for Agricultural and Horticultural Crops (IPK) and of 1,089 accessions from the International Center of Agricultural Research in Dry Areas (ICARDA) genebank.