Selection Index
Multi-Trait Selection Index
Rank parents by a weighted combination of standardized traits — pick the right crosses.
How it works
The Smith–Hazel selection index combines multiple traits into a single score using economic or breeder-defined weights. We z-standardize each trait so weights are comparable across units, compute the index per parent, and rank the top pairwise crosses by mid-parent value. This translates messy multi-trait data into a clean shortlist of crosses to plant.
Formula
I = Σ w_i · z(trait_i), where z is the per-trait z-score across the population.
What you get
- ▸Ranked parent list with index score
- ▸Top pairwise crosses by mid-parent index
- ▸Per-trait z-scores for diagnostic inspection
When to use it
- ▸You measure multiple traits and need a single ranking
- ▸You're planning crosses for next season
- ▸You want to balance yield with quality or disease resistance
References
Run Selection Index on your data
Open the module and upload a CSV.