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smith.beans.uniformity

Uniformity trials of beans, 2 species in 2 years


Description

Uniformity trials of beans at California, 1954-1955, 2 species in 2 years

Usage

data("smith.beans.uniformity")

Format

A data frame with 912 observations on the following 4 variables.

expt

experiment

row

row

col

column

yield

yield, kg

Details

Trials were conducted in California.

In 1955 plots were twice as wide and twice as long as in 1954. Red Kidney is a bush variety bean, Standard Pink is a viny variety.

Smith randomly assigned A,B,C,D to plots and used these as 'varieties' for calculating ANOVA tables. Plots were combined side-by-side and end-to-end to make larger plots. Decreasing LSDs were observed for increases in plot sizes. LSDs were seldom above 200, which was considered to be a noticeable difference for the farmers.

There are four datasets:

1954

Experiment 1: Red Kidney. Experiment 2: Standard Pink

Field width: 18 plots * 30 inches = 45 ft

Field length: 12 plots * 15 ft = 180 ft

1955

Experiment 3: Red Kidney. Experiment 4: Standard Pink

Field width: 16 plots * 2 rows * 30 in = 80 ft

Field length: 15 plots * 30 ft = 450 ft

Source

Francis L. Smith, 1958. Effects of plot size, plot shape, and number of replications on the efficacy of bean yield trials. Hilgardia, 28, 43-63. https://doi.org/10.3733/hilg.v28n02p043

References

None.

Examples

## Not run: 

library(agridat)
  
  data(smith.beans.uniformity)
  dat1 <- subset(smith.beans.uniformity, expt=="E1")
  dat2 <- subset(smith.beans.uniformity, expt=="E2")
  dat3 <- subset(smith.beans.uniformity, expt=="E3")
  dat4 <- subset(smith.beans.uniformity, expt=="E4")

  cv <- function(x) { sd(x)/mean(x) }
  cv(dat1$yield)
  cv(dat2$yield) # Does not match Smith. Checked all values by hand.
  cv(dat3$yield)
  cv(dat4$yield)

  libs("desplot")
  desplot(dat1, yield ~ col*row,
          aspect=180/45, flip=TRUE, # true aspect
          main="smith.beans.uniformity, expt 1 (true aspect)")

  desplot(dat2, yield ~ col*row,
          aspect=180/45, flip=TRUE, # true aspect
          main="smith.beans.uniformity, expt 2 (true aspect)")

  desplot(dat3, yield ~ col*row,
          aspect=450/80, flip=TRUE, # true aspect
          main="smith.beans.uniformity, expt 3 (true aspect)")

  desplot(dat4, yield ~ col*row,
          aspect=450/80, flip=TRUE, # true aspect
          main="smith.beans.uniformity expt 4, (true aspect)")
  

## End(Not run)

agridat

Agricultural Datasets

v1.18
CC BY-SA 4.0
Authors
Kevin Wright [aut, cre] (<https://orcid.org/0000-0002-0617-8673>)
Initial release

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