Annicchiarico: Annicchiarico's genotypic confidence index

In TiagoOlivoto/WAASB: Multi Environment Trials Analysis

Annicchiarico's genotypic confidence index

Description

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

Usage

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.

Value

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.

Author(s)

Tiago Olivoto, [e-mail]

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()

Examples

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

TiagoOlivoto/WAASB documentation built on March 20, 2024, 4:18 p.m.