# gai: Geometric adaptability index In metan: Multi Environment Trials Analysis

 gai R Documentation

### Description

Performs a stability analysis based on the geometric mean (GAI), according to the following model (Mohammadi and Amri, 2008): \loadmathjax \mjsdeqnGAI = \sqrt[E]\mathop \bar Y\nolimits_1 + \mathop \bar Y\nolimits_2 + ... + \mathop \bar Y\nolimits_i where \mjseqn\bar Y_1, \mjseqn\bar Y_2, and \mjseqn\bar Y_i are the mean yields of the first, second and i-th genotypes across environments, and E is the number of environments

### Usage

gai(.data, env, gen, resp, verbose = TRUE)


### Arguments

 .data The dataset containing the columns related to Environments, Genotypes, replication/block and response variable(s). env The name of the column that contains the levels of the environments. gen The name of the column that contains the levels of the genotypes. resp The response variable(s). To analyze multiple variables in a single procedure use, for example, resp = c(var1, var2, var3). verbose Logical argument. If verbose = FALSE the code will run silently.

### Value

An object of class gai, which is a list containing the results for each variable used in the argument resp. For each variable, a tibble with the following columns is returned.

• GEN the genotype's code.

• GAI_R The rank for the GAI value.

### Author(s)

Tiago Olivoto tiagoolivoto@gmail.com

### References

Mohammadi, R., & Amri, A. (2008). Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica, 159(3), 419-432. doi: 10.1007/s10681-007-9600-6.

### Examples


library(metan)
out <- gai(data_ge2,
env = ENV,
gen = GEN,
resp = c(EH, PH, EL, CD, ED, NKE))



metan documentation built on March 7, 2023, 5:34 p.m.