Multi-environment trial of wheat to illustrate stability statistics
Multi-environment trial to illustrate stability statistics
data("huehn.wheat")
A data frame with 200 observations on the following 3 variables.
gen
genotype
env
environment
yield
yield dt/ha
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.
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
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.
## Not run: 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 ## End(Not run)
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