agridat (version 1.16)

nonnecke.peas.uniformity: Uniformity trial of canning peas

Description

Uniformity trial of canning peas in southern Alberta, 1957.

Usage

data("nonnecke.peas.uniformity")

Arguments

Format

A data frame with 540 observations on the following 5 variables.

block

block factor

row

row

col

column

vines

vines weight, pounds

peas

shelled peas weight, pounds

Details

Width of basic plot was 10 feet, length was 5 feet, as limited by the viner. At each of two blocks/locations, planting consisted of 18 rows (only 15 rows were harvested) that were 10 feet wide and 90 feet long. Rows were separated by 7 foot bare ground to facilitate harvesting. Nonnecke 1960 shows a map of one block.

Plots were harvested with a five foot mower. Vines from each plot were weighed, then shelled. The two blocks/locations were side by side and combined by Nonnecke. The optimum plot size was found to be 5 feet long and 10 feet wide.

Field width: 15 rows * 10 ft/row + 14 gaps * 7 ft/gap = 248 feet

Field length: 18 plots * 5 ft/plot = 90 feet

References

I. L. Nonnecke, 1960. The precision of field experiments with vegetable crops as influenced by plot and block size and shape: II. Canning peas. Canadian Journal of Plant Science, 40(2): 396-404. http://doi.org/10.4141/cjps60-053

Examples

Run this code
# NOT RUN {
  
  data(nonnecke.peas.uniformity)
  dat <- nonnecke.peas.uniformity
  
  require(desplot)
  desplot(vines~col*row|block, data=dat,
          tick=TRUE, flip=TRUE, aspect=248/90, # true aspect
          main="nonnecke.peas.uniformity - vines")
  desplot(peas~col*row|block, data=dat,
          tick=TRUE, flip=TRUE, aspect=248/90, # true aspect
          main="nonnecke.peas.uniformity - peas")

  require(lattice)
  xyplot(peas~vines|block,dat,
         xlab="vine weight", ylab="shelled pea weight",
         main="nonnecke.peas.uniformity")

# }

Run the code above in your browser using DataLab