ge_acv: Adjusted Coefficient of Variation as yield stability index

In metan: Multi Environment Trials Analysis

Adjusted Coefficient of Variation as yield stability index

Description

Performs a stability analysis based on the scale-adjusted coefficient of variation (Doring and Reckling, 2018). For more details see acv()

Usage

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

Arguments

.data	The dataset containing the columns related to Environments, Genotypes 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 ge_acv, 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.

• ACV The adjusted coefficient of variation

• ACV_R The rank for the ACV value.

Author(s)

Tiago Olivoto [e-mail]

References

Doring, T.F., and M. Reckling. 2018. Detecting global trends of cereal yield stability by adjusting the coefficient of variation. Eur. J. Agron. 99: 30-36. doi: 10.1016/j.eja.2018.06.007

Examples

library(metan)
out <- ge_acv(data_ge2, ENV, GEN, c(EH, PH, EL, CD, ED, NKE))
gmd(out)

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