Tomato genomics & breeding
Solanum lycopersicum · China, India, Turkey, USA, Egypt
Tomato breeding straddles fresh-market and processing segments, each with distinct quality targets. Our gene-annotation module maps GWAS hits to the well-curated tomato genome for fast candidate-gene identification.
~190 million tonnes, the world's leading vegetable by volume.
Typical breeding goals
- •Fruit yield and shelf life
- •TYLCV, Fusarium, and Verticillium resistance
- •Brix and lycopene content
- •Heat tolerance for tropical production
Common challenges
- •TYLCV
- •Bacterial spot
- •Blossom-end rot
- •Heat stress
Pre-loaded trait library
When you upload tomato data, our phenotype column picker pre-suggests these standard traits so you don't start from a blank slate.
What you can run on tomato data
Every module below works on your uploaded tomato 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 tomato data
Upload a CSV, run a real GWAS or genomic-selection model, and get publication-ready output in minutes.
Get started