Wheat genomics & breeding
Triticum aestivum · China, India, Russia, USA, Canada, France
Wheat is the global staple for bread, pasta, and noodles, but warming climates and shifting rust populations make resilient genetics non-negotiable. Our GWAS and genomic-selection modules accelerate the discovery of rust-resistance loci and quality QTL.
~780 million tonnes produced annually, the #2 cereal by output.
Typical breeding goals
- •Grain yield and test weight
- •Rust resistance (stripe, leaf, stem)
- •Bread-making quality (protein content, gluten strength)
- •Heat and drought tolerance
Common challenges
- •Stripe and stem rust
- •Fusarium head blight
- •Heat at grain fill
- •Lodging
Pre-loaded trait library
When you upload wheat data, our phenotype column picker pre-suggests these standard traits so you don't start from a blank slate.
What you can run on wheat data
Every module below works on your uploaded wheat 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 wheat data
Upload a CSV, run a real GWAS or genomic-selection model, and get publication-ready output in minutes.
Get started