Barley genomics & breeding
Hordeum vulgare · Russia, Germany, France, Ukraine, Canada, Australia
Barley splits cleanly into feed and malting markets, each with distinct quality targets. Our selection-index module makes multi-trait ranking straightforward when malting specs collide with yield.
~160 million tonnes, mostly for feed and malting.
Typical breeding goals
- •Grain yield and test weight
- •Malting quality (low protein, high extract)
- •Net blotch and scald resistance
- •Lodging resistance
Common challenges
- •Net blotch
- •Scald
- •Frost
- •Heat at grain fill
Pre-loaded trait library
When you upload barley data, our phenotype column picker pre-suggests these standard traits so you don't start from a blank slate.
What you can run on barley data
Every module below works on your uploaded barley dataset. The math is crop-agnostic; the defaults are crop-aware.
Find SNPs significantly associated with any trait you've measured.
Predict GEBVs and cross-validate accuracy before deploying in the program.
PCA and ancestry decomposition to control for stratification.
GxE heatmap, AMMI, and Finlay–Wilkinson stability for cross-location data.
Rank parents by weighted multi-trait scores.
Map top hits to genes via Ensembl Plants.
Historical weather, GDD, heat-stress days.
Whole-genome GBLUP yield predictions on your dataset.
Start analyzing your barley data
Upload a CSV, run a real GWAS or genomic-selection model, and get publication-ready output in minutes.
Get started