agridat (version 1.23)

bailey.cotton.uniformity: Uniformity trial of cotton in Egypt

Description

Uniformity trial of cotton in Egypt 1921-1923.

Usage

data("bailey.cotton.uniformity")

Format

A data frame with 794 observations on the following 5 variables.

row

row ordinate

col

column ordinate

yield

yield, in rotls

year

year

loc

location

Details

Two pickings were taken. The weights of seeds cotton for first and second pickings were totaled. Yields were measured in "rotl", which "are on the order of a pound".

Layout at Sakha and Gemmeiza (page 9): Total area 4.86 feddans. Each bed was 20 ridges of 7 m each, total dimension 15 m x 7 m. Add 1.5m for irrigation channel. Center-to-center distances 15m x 8.5m.

Chart 1: Sakha 1921, 8 x 20. Length 20 ridges * .75 m = 15m. Width = 7m.

Chart 2: Gemmeiza 1921, 8 x 20.

Chart 4: Gemmeiza 1922, 8 x 20.

Layout at Giza (page 10)

Beds were 8 ridges of 7 m each, total dimension 6m x 7m. Add 1.5m for irrigation channel. Center-to-center distance 6m x 8.5m

Chart 6 - Giza 1921, 14 x 11 = 154 plots

Chart 7 - Giza 1923, 20 x 8 = 160 plots

Bailey said the results at Giza 1921 were not suitable for reliability experiments.

Data were typed and proofread by KW 2023.01.11

References

None

Examples

if (FALSE) {
  library(agridat)
  data(bailey.cotton.uniformity)
  dat <- bailey.cotton.uniformity
  dat <- transform(dat, env=paste(year,loc))

  # Data check. Matches Bailey 1926 Table 1. 28.13, , 46.02, 31.74, 13.52
  libs(dplyr)
  # dat 

  libs(desplot)
  desplot(dat, yield ~ col*row|env, main="bailey.cotton.uniformity")

  # The yield scales are quite different at each loc, and the dimensions
  # are different, so plot each location separately.
  # Note: Bailey does not say if plots are 7x15 meters, or 15x7 meters.
  # The choices here seem most likely in our opinion.
  desplot(dat, yield ~ col*row, subset= env=="1921 Sakha",
    main="1921 Sakha", aspect=(20*8.5)/(8*15))
  desplot(dat, yield ~ col*row, subset= env=="1921 Gemmeiza",
    main="1921 Gemmeiza", aspect=(20*8.5)/(8*15))
  desplot(dat, yield ~ col*row, subset= env=="1922 Gemmeiza",
    main="1922 Gemmeiza", aspect=(20*8.5)/(8*15))
  desplot(dat, yield ~ col*row, subset= env=="1921 Giza",
    main="1921 Giza", aspect=(11*6)/(14*8.5))
  # 1923 Giza has alternately hi/lo yield rows. Not noticed by Bailey.
  desplot(dat, yield ~ col*row, subset= env=="1923 Giza",
    main="1923 Giza", aspect=(20*6)/(8*8.5))
  
}