Cotton genomics & breeding
Gossypium hirsutum · India, China, USA, Brazil, Pakistan
Cotton balances fiber quality (length, strength, micronaire) with disease and pest pressure. Our multi-trait selection index ranks parents on the exact economic weights the textile market rewards.
~25 million tonnes of fiber, the world's dominant natural textile.
Typical breeding goals
- •Lint yield and fiber quality (length, strength, micronaire)
- •Verticillium and Fusarium wilt resistance
- •Heat and drought tolerance
- •Bollworm and whitefly resistance
Common challenges
- •Verticillium wilt
- •Bollworm
- •Heat stress
- •Drought
Pre-loaded trait library
When you upload cotton data, our phenotype column picker pre-suggests these standard traits so you don't start from a blank slate.
What you can run on cotton data
Every module below works on your uploaded cotton 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 cotton data
Upload a CSV, run a real GWAS or genomic-selection model, and get publication-ready output in minutes.
Get started