Stability

The Stability tab is shown below:

The Stability tab contains the following elements:

One Overlay Plot plot.

This plot displays various stability measures for each genotype, with the value of the stability measure represented on the y-axis. The six measures that are displayed are described in the following table:

:

Stability Measure	Definition
W_i	Wricke’s ecovalence is determined using the formula: The closer this value is to 0, the more stable the effect. This measure is highly correlated with MSD_i.
Beta_i1	Regression Coefficient. The closer this value is to 1, the more stable the effect.
MSD_i	Pooled Deviation of E and GxE nonlinear components, broken out by genotype. Differs from S2d_i by a constant.
S2d_i	Mean Square Deviation from Regression. The closer this value is to 0, the more stable the effect.
Alpha_i2	Linear response of trait to environmental effects.
Lambda_i	Deviation from the linear response in terms of error variance.

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1

Eberhart and Russell's measures (Betai, S2d , and MSDi) are considered together. Stable varieties occur when Betai is near 1 and S2d is near 0.

2

Tai’s measures (Alphai and Lambdai) are considered together. Average stability is indicated when Alphai=0 and Lambdai=1. Perfect stability is indicated when Alphai=-1 and Lambdai=1.