Maize (corn) genomics & breeding
Zea mays · USA, Brazil, Argentina, China, EU
Maize is the world's most-produced cereal and the workhorse of livestock feed, biofuel, and starch industries. Yield gains depend on heterotic group selection, disease resistance, and drought tolerance — all of which our platform models end-to-end.
~1.2 billion tonnes produced annually worldwide.
Typical breeding goals
- •Grain yield and standability
- •Drought tolerance (ASI, kernel set under stress)
- •Resistance to fall armyworm, gray leaf spot, MLN
- •Nutritional quality (protein, oil, lysine)
Common challenges
- •Drought
- •Heat stress at flowering
- •Mycotoxin contamination
- •Lodging
Pre-loaded trait library
When you upload maize (corn) data, our phenotype column picker pre-suggests these standard traits so you don't start from a blank slate.
What you can run on maize (corn) data
Every module below works on your uploaded maize (corn) 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 maize (corn) data
Upload a CSV, run a real GWAS or genomic-selection model, and get publication-ready output in minutes.
Get started