Genomic prediction models trained with historical records enable populating the German ex situ genebank bio-digital resource center of barley (Hordeum sp.) with information on resistances to soilborne barley mosaic viruses.

Interestingly, GBLUP was outperformed by W-BLUP with minor profits in prediction ability of 0.02 for BaYMV (~ 3.0%) and 0.03 for BaMMV (~ 5.0%) when highly significant markers (first 10 and 20 markers having the lowest P -values for associations in GWAS) were modeled as fixed effects in a GS model.

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