GGE Ideal-Genotype Ranking
GGE ideal-genotype ranking biplot online with concentric rings around the ideal point and per-genotype distances.
When to use it
Use to rank genotypes by closeness to an ideal-genotype point on the GGE biplot (Yan and Tinker 2006). The ideal point combines maximum mean performance and minimum instability; closeness to it is a single composite ranking criterion.
When NOT to use it
Do not use when GGE PC1+PC2 explain a small share of G+GxE; the ideal-point geometry depends on a high cumulative variance. Do not use for environments; this view is for genotypes (a separate ideal-environment view exists).
What you get
GGE biplot with the ideal-genotype point marked, concentric rings of equal distance to it, and a ranked table of genotypes by Euclidean distance to the ideal point in PC1-PC2 space. Lower distance equals higher rank.
Worked example
Same 4 genotypes by 3 environments MET; ranking by Euclidean distance from the ideal-genotype point in PC1-PC2 space.
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 closest to the ideal point (high mean and low instability); G1 ranks lowest by ideal-genotype distance.
Source: StatVeda built-in example, paired with the analyse page sample for toolId 'ggeranking'.
How to interpret the output
Rank order by distance to the ideal point gives a single composite criterion that balances mean and stability. Genotypes inside the innermost ring are top candidates. The ideal point is a hypothetical perfect genotype, not necessarily attainable; the ranking shows which real genotypes come closest.
Common pitfalls
- Using the ranking when biplot variance captured is low.
- Confusing genotype ideal-point with environment ideal-point view.
- Reading the rank as if it were a hypothesis test outcome (it is a descriptive ordering).
Try it in StatVeda
The GGE Ideal-Genotype Ranking (Yan-Tinker 2006) 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 Ideal-Genotype Ranking (Yan-Tinker 2006)References
- Yan, W. and Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science, 86(3), 623 to 645.
- Yan, W. and Kang, M. S. (2003). GGE Biplot Analysis. CRC Press, Boca Raton.