![[Stable]](figures/lifecycle-stable.svg)
Stability analysis using the known genotypic confidence index (Annicchiarico, 1992) modified by Schmildt et al. 2011.
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 = FALSEthe 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 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.
References
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
Author
Tiago Olivoto, tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
Sch <- Schmildt(data_ge2,
env = ENV,
gen = GEN,
rep = REP,
resp = PH)
#> Evaluating trait PH |============================================| 100% 00:00:00
print(Sch)
#> Variable PH
#> ---------------------------------------------------------------------------
#> Environmental index
#> ---------------------------------------------------------------------------
#> # A tibble: 4 × 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 × 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 × 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 × 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
#>
#>
#>
# }