ge_acv function

Adjusted Coefficient of Variation as yield stability index

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

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.

Returns

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.

Examples

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

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. tools:::Rd_expr_doi("10.1016/j.eja.2018.06.007")

Author(s)

Tiago Olivoto tiagoolivoto@gmail.com