Soybean genomics & breeding
Glycine max · USA, Brazil, Argentina, China, India
Soybean is the dominant protein and oil crop globally. Maturity-group fit, SCN resistance, and shifting disease pressure mean breeders need fast, accurate genomic predictions — which is exactly what our GBLUP and BayesB modules deliver.
~390 million tonnes, the world's most-traded protein crop.
Typical breeding goals
- •Seed yield and oil + protein content
- •Soybean cyst nematode (SCN) resistance
- •Sudden death syndrome and Phytophthora resistance
- •Maturity group fit
Common challenges
- •SCN
- •Sudden death syndrome
- •Drought
- •Asian soybean rust
Pre-loaded trait library
When you upload soybean data, our phenotype column picker pre-suggests these standard traits so you don't start from a blank slate.
What you can run on soybean data
Every module below works on your uploaded soybean 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 soybean data
Upload a CSV, run a real GWAS or genomic-selection model, and get publication-ready output in minutes.
Get started