Stability analysis using the known genotypic confidence index (Annicchiarico, 1992) modified by Schmildt et al. 2011.
Schmildt(.data, env, gen, rep, resp, prob = 0.05, verbose = TRUE)
.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, |
prob | The probability of error assumed. |
verbose | Logical argument. If |
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 favorables and unfavorables 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.
Annicchiarico, P. 1992. Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. J. Genet. Breed. 46:269-278.
Schmildt, E.R., A.L. Nascimento, C.D. Cruz, and J.A.R. Oliveira. 2011. Avaliacao de metodologias de adaptabilidade e estabilidade de cultivares milho. Acta Sci. - Agron. 33:51-58. doi: 10.4025/actasciagron.v33i1.5817
Tiago Olivoto, tiagoolivoto@gmail.com
# \donttest{ library(metan) Sch <- Schmildt(data_ge2, env = ENV, gen = GEN, rep = REP, resp = PH) print(Sch)#> Variable PH #> --------------------------------------------------------------------------- #> Environmental index #> --------------------------------------------------------------------------- #> # A tibble: 4 x 4 #> ENV Y index class #> <fct> <dbl> <dbl> <chr> #> 1 A1 2.79 0.308 favorable #> 2 A2 2.46 -0.0229 unfavorable #> 3 A3 2.17 -0.318 unfavorable #> 4 A4 2.52 0.0329 favorable #> --------------------------------------------------------------------------- #> Analysis for all environments #> --------------------------------------------------------------------------- #> # A tibble: 13 x 6 #> GEN Mean Mean_rp Sem_rp Wi rank #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 H1 2.62 106. 4.69 97.9 2 #> 2 H10 2.31 93.0 3.47 87.3 12 #> 3 H11 2.39 96.1 3.14 90.9 9 #> 4 H12 2.44 98.6 5.61 89.3 10 #> 5 H13 2.54 103. 6.19 92.6 7 #> 6 H2 2.60 105. 4.96 96.7 3 #> 7 H3 2.59 104. 5.58 95.0 6 #> 8 H4 2.58 104. 4.38 96.4 5 #> 9 H5 2.57 103. 2.77 98.6 1 #> 10 H6 2.56 103. 3.92 96.5 4 #> 11 H7 2.40 96.8 3.34 91.3 8 #> 12 H8 2.33 93.6 4.81 85.7 13 #> 13 H9 2.36 94.8 3.42 89.2 11 #> --------------------------------------------------------------------------- #> Analysis for favorable environments #> --------------------------------------------------------------------------- #> # A tibble: 13 x 6 #> GEN Y Mean_rp Sem_rp Wi rank #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 H1 2.68 101. 3.60 95.2 9 #> 2 H10 2.59 97.3 2.39 93.3 12 #> 3 H11 2.66 100. 1.70 97.3 7 #> 4 H12 2.61 98.5 2.12 95.0 10 #> 5 H13 2.66 100. 1.15 98.5 6 #> 6 H2 2.66 100. 0.144 99.9 3 #> 7 H3 2.70 101. 3.69 95.3 8 #> 8 H4 2.71 102. 0.593 101. 1 #> 9 H5 2.74 103. 1.64 100. 2 #> 10 H6 2.63 98.9 0.206 98.6 5 #> 11 H7 2.65 99.9 0.574 98.9 4 #> 12 H8 2.62 98.9 2.55 94.7 11 #> 13 H9 2.62 98.1 6.60 87.3 13 #> --------------------------------------------------------------------------- #> Analysis for unfavorable environments #> --------------------------------------------------------------------------- #> # A tibble: 13 x 6 #> GEN Y Mean_rp Sem_rp Wi rank #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 H1 2.56 110. 8.80 95.7 1 #> 2 H10 2.04 88.7 5.41 79.8 11 #> 3 H11 2.12 92.1 4.90 84.0 8 #> 4 H12 2.26 98.6 13.6 76.3 12 #> 5 H13 2.41 105. 14.7 81.0 10 #> 6 H2 2.55 110. 10.1 92.9 3 #> 7 H3 2.49 107. 12.6 86.2 7 #> 8 H4 2.45 105. 10.5 87.8 6 #> 9 H5 2.40 103. 6.59 92.4 4 #> 10 H6 2.49 107. 7.67 94.4 2 #> 11 H7 2.16 93.6 6.85 82.4 9 #> 12 H8 2.03 88.3 8.67 74.0 13 #> 13 H9 2.11 91.5 2.13 88.0 5 #> #> #># }