Annicchiarico function

Annicchiarico's genotypic confidence index

Annicchiarico's genotypic confidence index

Stability analysis using the known genotypic confidence index (Annicchiarico, 1992).

Annicchiarico(.data, env, gen, rep, resp, prob = 0.25, 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).
  • prob: The probability of error assumed.
  • verbose: Logical argument. If verbose = FALSE the code will run silently.

Returns

A list where each element is the result for one variable and contains the following data frames:

  • environments Contains the mean, environmental index and classification as favorable and unfavorable environments.
  • general Contains the genotypic confidence index considering all environments.
  • favorable Contains the genotypic confidence index considering favorable environments.
  • unfavorable Contains the genotypic confidence index considering unfavorable environments.

Examples

library(metan) Ann <- Annicchiarico(data_ge2, env = ENV, gen = GEN, rep = REP, resp = PH) print(Ann)

References

Annicchiarico, P. 1992. Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. J. Genet. Breed. 46:269-278.

See Also

superiority(), ecovalence(), ge_stats()

Author(s)

Tiago Olivoto, tiagoolivoto@gmail.com