metan (version 1.2.1)

gai: Geometric adaptability index

Description

Performs a stability analysis based on the geometric mean (GAI), according to the following model: $$GAI = \sqrt[E]{{{{\bar Y}_{1.}} \cdot {{\bar Y}_{2.}} \cdot ... \cdot {{\bar Y}_{i.}}}}$$

Usage

gai(.data, env, gen, rep, 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.

rep

The name of the column that contains the levels of the replications/blocks.

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 Geometric adaptability index

• GAI_R The rank for the GAI value.

References

Shahbazi, E. 2019. Genotype selection and stability analysis for seed yield of Nigella sativa using parametric and non-parametric statistics. Sci. Hortic. (Amsterdam). 253:172-179. doi:10.1016/j.scienta.2019.04.047.

Examples

# NOT RUN {
library(metan)
out <- gai(data_ge2, ENV, GEN, REP, c(EH, PH, EL, CD, ED, NKE))

# }