Multi-environment trial of wheat to illustrate stability statistics
huehn.wheat.Rd
Multi-environment trial to illustrate stability statistics
Usage
data("huehn.wheat")
Format
A data frame with 200 observations on the following 3 variables.
gen
genotype
env
environment
yield
yield dt/ha
Details
Yields for a winter-wheat trial of 20 genotypes at 10 environments.
Note: Huehn 1979 does not use genotype-centered data when calculating stability statistics.
Source
Manfred Huehn (1979). Beitrage zur Erfassung der phanotypischen Stabilitat I. Vorschlag einiger auf Ranginformationen beruhenden Stabilitatsparameter. EDV in Medizin und Biologie, 10 (4), 112-117. Table 1. https://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-145979
References
Nassar, R and Huehn, M. (1987). Studies on estimation of phenotypic stability: Tests of significance for nonparametric measures of phenotypic stability. Biometrics, 43, 45-53.
Examples
if (FALSE) { # \dontrun{
library(agridat)
data(huehn.wheat)
dat <- huehn.wheat
# Nassar & Huehn, p. 51 "there is no evidence for differences in stability
# among the 20 varieties".
libs(gge)
m1 <- gge(dat, yield ~ gen*env)
biplot(m1, main="huehn.wheat")
libs(reshape2)
datm <- acast(dat, gen~env, value.var='yield')
apply(datm,1,mean) # Gen means match Huehn 1979 table 1
apply(datm,2,mean) # Env means
apply(datm, 2, rank) # Ranks match Huehn table 1
# Huehn 1979 did not use genotype-centered data, and his definition
# of S2 is different from later papers.
# I'm not sure where 'huehn' function is found
# apply(huehn(datm, corrected=FALSE), 2, round,2) # S1 matches Huehn
## MeanRank S1
## Jubilar 6.70 3.62
## Diplomat 8.35 5.61
## Caribo 11.20 6.07
## Cbc710 13.65 6.70
# Very close match to Nassar & Huehn 1987 table 4.
# apply(huehn(datm, corrected=TRUE), 2, round,2)
## MeanRank S1 Z1 S2 Z2
## Jubilar 10.2 4.00 5.51 11.29 4.29
## Diplomat 11.0 6.31 0.09 27.78 0.27
## Caribo 10.6 6.98 0.08 34.49 0.01
## Cbc710 10.9 8.16 1.78 47.21 1.73
} # }