piepho.cocksfoot | R Documentation |
Multi-environment trial of cock's foot, heading dates for 25 varieties in 7 yearsyears
data("piepho.cocksfoot")
A data frame with 111 observations on the following 3 variables.
gen
genotype factor, 25 levels
year
year, numeric
date
heading date (days from April 1)
These data are heading dates (days from April 1 to heading) of 25 cock's foot Dactylis glomerata varieties in trials at Hannover, Germany, repeated over seven years. Values are means over replications.
Piepho fits a model similar to Finlay-Wilkinson regression, but with genotype and environment swapped.
Hans-Pieter Piepho. (1999). Fitting a Regression Model for Genotype-by-Environment Data on Heading Dates in Grasses by Methods for Nonlinear Mixed Models. Biometrics, 55, 1120-1128. https://doi.org/10.1111/j.0006-341X.1999.01120.x
## Not run:
library(agridat)
data(piepho.cocksfoot)
dat <- piepho.cocksfoot
dat$year <- factor(dat$year)
libs(lattice)
# Gaussian, not gamma distn
densityplot(~date|year, data=dat, main="piepho.cocksfoot - heading date")
if(require("mumm", quietly=TRUE)){
libs(mumm) # The mumm package can reproduce Piepho's results
levelplot(date ~ year*gen, dat)
# note mp(random,fixed)
mod3 <- mumm(date ~ -1 + gen + (1|year) + mp(year, gen), dat)
# Compare to Piepho table 3, "full maximum likelihood"
mod3$sigmas^2 # variances for year:gen, residual match
# year mp year:gen Residual
# 17.70287377 0.02944158 0.49024737
# mod3$par_fix # fixed genotypes match
# mod3$sdreport # estim/stderr
# Estimate Std. Error
# nu 49.0393183 1.55038652
# nu 42.0889493 1.67597832
# nu 45.3411252 1.59818620
# etc
# mod3$par_rand # random year:gen match
# $`mp year:gen`
# 1990 1991 1992 1993 1994 1995
# 0.10595661 -0.05298523 0.08228274 -0.09629696 -0.11045540 0.29637268
}
## End(Not run)
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