GGE Mean vs Stability Calculator
GGE mean vs stability biplot for multi-environment trials online. Average tester axis and stability projection.
When to use it
Use after a multi-environment trial to rank genotypes simultaneously on mean performance (projection on the average tester axis) and on stability (perpendicular distance to the average tester axis), per Yan and Kang (2003). Standard view for selecting candidate cultivars.
When NOT to use it
Do not use when PC1 + PC2 of the GGE decomposition explain too little of G + GxE; the geometry of the average tester axis becomes unreliable. Do not substitute for a univariate stability analysis (Eberhart-Russell) when only a regression-based stability metric is required.
What you get
GGE biplot with the average tester axis drawn through the origin and the average environment, perpendicular stability lines per genotype, and a summary table ranking genotypes by mean projection and by stability deviation.
Worked example
Same 4 genotypes by 3 environments MET as the polygon view; mean projection and stability deviation are reported per genotype.
G1: 5.2, 6.1, 4.8 G2: 5.5, 6.4, 5.1 G3: 5.8, 6.7, 5.4 G4: 6.1, 6.0, 5.7
Expected output: G3 has the highest mean projection on the average tester axis; G4 has the smallest perpendicular deviation (most stable).
Source: StatVeda built-in example, paired with the analyse page sample for toolId 'ggemeanstab'.
How to interpret the output
A genotype with a long positive projection on the average tester axis has high mean performance. A short perpendicular distance to the axis means high stability across environments. The ideal genotype has both: high mean and small deviation. Use the ranking table to pick advancing cultivars; trade-offs between mean and stability are explicit and visual.
Common pitfalls
- Reading the axis when biplot variance captured is low.
- Picking a high-stability low-mean genotype without considering productivity.
- Confusing perpendicular distance with Eberhart-Russell s-squared d (different metrics).
Try it in StatVeda
The GGE Mean vs Stability (Yan-Kang 2003) engine runs entirely in the browser. No signup, no install, no data sent to a server. Paste your data, hit Run, copy the output.
Open GGE Mean vs Stability (Yan-Kang 2003)References
- Yan, W. and Kang, M. S. (2003). GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC Press, Boca Raton.
- Yan, W., Hunt, L. A., Sheng, Q. and Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40(3), 597 to 605.