Description Usage Arguments Details Value References See Also Examples

`ASI.AMMI`

computes the AMMI Stability Index (ASI) (Jambhulkar et al.,
2014; Jambhulkar et al., 2015; Jambhulkar et al., 2017) considering the first
two interaction principal components (IPCs) in the AMMI model. Using ASI, the
Simultaneous Selection Index for Yield and Stability (SSI) is also calculated
according to the argument `ssi.method`

.

1 |

`model` |
The AMMI model (An object of class |

`ssi.method` |
The method for the computation of simultaneous selection
index. Either |

`a` |
The ratio of the weights given to the stability components for
computation of SSI when |

The AMMI Stability Index (*ASI*) is
computed as follows:

*ASI =
√[[PC ^{2}_{1} × θ^{2}_{1}] + [PC^{2}_{2} × θ^{2}_{2}]]*

Where, *PC _{1}* and

A data frame with the following columns:

`ASI` |
The ASI values. |

`SSI` |
The computed values of simultaneous selection index for yield and stability. |

`rASI` |
The ranks of ASI values. |

`rY` |
The ranks of the mean yield of genotypes. |

`means` |
The mean yield of the genotypes. |

The names of the genotypes are indicated as the row names of the data frame.

jambhulkar_ammi_2014ammistability

\insertRefjambhulkar_genotype_2015ammistability

\insertRefjambhulkar_stability_2017ammistability

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ```
library(agricolae)
data(plrv)
# AMMI model
model <- with(plrv, AMMI(Locality, Genotype, Rep, Yield, console = FALSE))
# ANOVA
model$ANOVA
# IPC F test
model$analysis
# Mean yield and IPC scores
model$biplot
# G*E matrix (deviations from mean)
array(model$genXenv, dim(model$genXenv), dimnames(model$genXenv))
# With default ssi.method (farshadfar)
ASI.AMMI(model)
# With ssi.method = "rao"
ASI.AMMI(model, ssi.method = "rao")
# Changing the ratio of weights for Rao's SSI
ASI.AMMI(model, ssi.method = "rao", a = 0.43)
``` |

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