ASI.AMMI {ammistability} | R Documentation |

`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`

.

ASI.AMMI(model, ssi.method = c("farshadfar", "rao"), a = 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 (\(ASI\)) (Jambhulkar et al. 2014; Jambhulkar et al. 2015; Jambhulkar et al. 2017) is computed as follows:

\[ASI = \sqrt{\left [ PC_{1}^{2} \times \theta_{1}^{2} \right ]+\left [ PC_{2}^{2} \times \theta_{2}^{2} \right ]}\]Where, \(PC_{1}\) and \(PC_{2}\) are the scores of 1st and 2nd IPCs respectively; and \(\theta_{1}\) and \(\theta_{2}\) are percentage sum of squares explained by the 1st and 2nd principal component interaction effect respectively.

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 NN, Bose LK, Pande K, Singh ON (2015).
“Genotype by environment interaction and stability analysis in rice genotypes.”
*Ecology, Environment and Conservation*, **21**(3), 1427–1430.
http://www.envirobiotechjournals.com/article_abstract.php?aid=6346&iid=200&jid=3.

Jambhulkar NN, Bose LK, Singh ON (2014).
“AMMI stability index for stability analysis.”
In Mohapatra T (ed.), *CRRI Newsletter, January-March 2014*, volume 35(1), 15.
Central Rice Research Institute, Cuttack, Orissa.
http://www.crri.nic.in/CRRI_newsletter/crnl_jan_mar_14_web.pdf.

Jambhulkar NN, Rath NC, Bose LK, Subudhi HN, Biswajit M, Lipi D, Meher J (2017).
“Stability analysis for grain yield in rice in demonstrations conducted during rabi season in India.”
*Oryza*, **54**(2), 236–240.
doi: 10.5958/2249-5266.2017.00030.3, https://doi.org/10.5958/2249-5266.2017.00030.3.

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)

[Package *ammistability* version 0.1.2 Index]