Performs a stability analysis based on the Kang (1988) criteria. Kang nonparametric stability (ranksum) uses both "trait single value" and stability variance (Shukla, 1972), and the genotype with the lowest ranksum is commonly the most favorable one.
Usage
stab_kang(.data, .y, .rep, .gen, .env)
# Default S3 method
stab_kang(.data, .y, .rep, .gen, .env)
References
Kang, M.S. (1988). A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communications, 16, 1-2.
Shukla, G.K. (1972). Some aspects of partitioning genotype environmental components of variability. Heredity, 29, 237-245.
Author
Muhammad Yaseen (myaseen208@gmail.com)
Kent M. Edkridge (keskridge1@unl.edu)
Examples
data(ge_data)
YieldKang <-
stab_kang(
.data = ge_data
, .y = Yield
, .rep = Rep
, .gen = Gen
, .env = Env
)
YieldKang
#> $Kang
#> # A tibble: 60 × 6
#> Gen Mean ShuklaVar rMean rShukaVar rStab
#> <fct> <dbl> <dbl> <int> <int> <int>
#> 1 013BT034 4248. 94993. 11 8 19
#> 2 122557 4062. 117014. 31 15 46
#> 3 122559 4259. 183294. 10 38 48
#> 4 12B.2511 4414. 255150. 4 52 56
#> 5 12FJ26 4057. 159191. 32 29 61
#> 6 14B.1030 3995. 135368. 37 22 59
#> 7 14C036 3943. 260565. 41 54 95
#> 8 14C040 3825. 148448. 53 27 80
#> 9 9496 4072. 99597. 30 9 39
#> 10 AUR0809 3792. 124782. 54 20 74
#> # ℹ 50 more rows
#>