piepho.barley.uniformity {agridat} | R Documentation |

##
Uniformity trial of barley

### Description

Uniformity trial of barley in Germany

### Usage

data("piepho.barley.uniformity")

### Format

A data frame with 1080 observations on the following 5 variables.

`row`

row ordinate

`col`

column ordinate

`yield`

yield per plot

### Details

Uniformity trial of barley at Ihinger Hof farm, conducted by the
University of Hohenheim, Germany, in 2007.

Note: The paper by Piepho says "The trial had 30 rows and 36
columns. Plot widths were 1.90 m along rows and 3.73 m along columns."
However, the SAS code supplement to the paper, called
"PBR_1654_sm_example1.sas", has row=1-36, col=1-30. We cannot
determine which dimension is "row" and which is "column", and
therefore cannot determine the actual dimensions of the field.

### Source

H. P. Piepho & E. R. Williams (2010).
Linear variance models for plant breeding trials.
Plant Breeding, 129, 1-8.
https://doi.org/10.1111/j.1439-0523.2009.01654.x

### References

None

### Examples

## Not run:
data(piepho.barley.uniformity)
dat <- piepho.barley.uniformity
libs(desplot)
desplot(yield ~ col*row, dat,
tick=TRUE, # aspect unknown
main="piepho.barley.uniformity.csv")
libs(asreml,dplyr)
dat <- mutate(dat, x=factor(col), y=factor(row))
dat <- arrange(dat, x, y)
# Piepho AR1xAR1 model (in random term, NOT residual)
m1 <- asreml(data=dat,
yield ~ 1,
random = ~ x + y + ar1(x):ar1(y),
residual = ~ units,
na.action=na.method(x="keep") )
m1 <- update(m1)
# Match Piepho table 3, footnote 4: .9671, .9705 for col,row correlation
# Note these parameters are basically at the boundary of the parameter
# space. Questionable fit.
libs(lucid)
lucid::vc(m1)
## End(Not run)

[Package

*agridat* version 1.18

Index]