![[Stable]](figures/lifecycle-stable.svg)
Stability analysis using the known genotypic confidence index (Annicchiarico, 1992).
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 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.
References
Annicchiarico, P. 1992. Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. J. Genet. Breed. 46:269-278.
Author
Tiago Olivoto, tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
Ann <- Annicchiarico(data_ge2,
env = ENV,
gen = GEN,
rep = REP,
resp = PH)
#> Evaluating trait PH |============================================| 100% 00:00:00
print(Ann)
#> 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 Y Mean_rp Sd_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.62 106. 9.38 99.3 2
#> 2 H10 2.31 93.0 6.93 88.3 12
#> 3 H11 2.39 96.1 6.27 91.9 9
#> 4 H12 2.44 98.6 11.2 91.0 10
#> 5 H13 2.54 103. 12.4 94.4 7
#> 6 H2 2.60 105. 9.91 98.1 3
#> 7 H3 2.59 104. 11.2 96.6 6
#> 8 H4 2.58 104. 8.76 97.7 5
#> 9 H5 2.57 103. 5.55 99.5 1
#> 10 H6 2.56 103. 7.83 97.7 4
#> 11 H7 2.40 96.8 6.67 92.3 8
#> 12 H8 2.33 93.6 9.61 87.1 13
#> 13 H9 2.36 94.8 6.85 90.2 11
#> ---------------------------------------------------------------------------
#> Analysis for favorable environments
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 6
#> GEN Y Mean_rp Sd_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.68 101. 5.09 97.6 9
#> 2 H10 2.59 97.3 3.38 95.0 12
#> 3 H11 2.66 100. 2.41 98.5 7
#> 4 H12 2.61 98.5 3.00 96.5 10
#> 5 H13 2.66 100. 1.63 99.3 5
#> 6 H2 2.66 100. 0.203 100. 3
#> 7 H3 2.70 101. 5.22 97.9 8
#> 8 H4 2.71 102. 0.839 102. 2
#> 9 H5 2.74 103. 2.32 102. 1
#> 10 H6 2.63 98.9 0.292 98.7 6
#> 11 H7 2.65 99.9 0.812 99.3 4
#> 12 H8 2.62 98.9 3.60 96.5 11
#> 13 H9 2.62 98.1 9.33 91.8 13
#> ---------------------------------------------------------------------------
#> Analysis for unfavorable environments
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 6
#> GEN Y Mean_rp Sd_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.56 110. 12.4 102. 1
#> 2 H10 2.04 88.7 7.65 83.5 12
#> 3 H11 2.12 92.1 6.93 87.4 9
#> 4 H12 2.26 98.6 19.2 85.7 11
#> 5 H13 2.41 105. 20.8 91.2 7
#> 6 H2 2.55 110. 14.3 99.9 2
#> 7 H3 2.49 107. 17.8 94.9 6
#> 8 H4 2.45 105. 14.9 95.1 5
#> 9 H5 2.40 103. 9.32 97.0 4
#> 10 H6 2.49 107. 10.9 99.7 3
#> 11 H7 2.16 93.6 9.69 87.1 10
#> 12 H8 2.03 88.3 12.3 80.0 13
#> 13 H9 2.11 91.5 3.02 89.4 8
#>
#>
#>
# }