[Stable]

Regression-based stability analysis using the Eberhart and Russell (1966) model.

ge_reg(.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 ge_reg with the folloing items for each variable:

  • data: The data with means for genotype and environment combinations and the environment index

  • anova: The analysis of variance for the regression model.

  • regression: A data frame with the following columns: GEN, the genotypes; b0 and b1 the intercept and slope of the regression, respectively; t(b1=1) the calculated t-value; pval_t the p-value for the t test; s2di the deviations from the regression (stability parameter); F(s2di=0) the F-test for the deviations; pval_f the p-value for the F test; RMSE the root-mean-square error; R2 the determination coefficient of the regression.

  • b0_variance: The variance of b0.

  • b1_variance: The variance of b1.

References

Eberhart, S.A., and W.A. Russell. 1966. Stability parameters for comparing Varieties. Crop Sci. 6:36-40. doi: 10.2135/cropsci1966.0011183X000600010011x

See also

Author

Tiago Olivoto, tiagoolivoto@gmail.com

Examples

# \donttest{
library(metan)
reg <- ge_reg(data_ge2,
             env = ENV,
             gen = GEN,
             rep = REP,
             resp = PH)
#> Evaluating trait PH |============================================| 100% 00:00:00 

plot(reg)


# }