Uniformity trial of cotton

Uniformity trial of cotton in India in 1934.

Usage

data("panse.cotton.uniformity")

Format

A data frame with 1280 observations on the following 3 variables.

row

row

col

column

yield

total yield per plot, grams

Details

A uniformity trial of cotton at the Institute of Plant Industry, Indore, India.

The trial consisted of 128 rows of cotton with a spacing of 14 inches between rows and length 186 feet 8 inches.

Each harvested plot was 4 rows wide and 4 ft 8 in long, measuring 1/2000 acre.

Four pickings were made between Nov 1933 and Jan 1934. The data here are the total yields.

The fertility map shows appreciable variation, not following any systematic pattern.

Field length: 40 plots * 4 feet 8 inches = 206 feet 8 inches

Field width: 32 plots * 4 rows/plot * 14 inches/row = 150 feet

Conclusions: Lower error was obtained when the plots were long rows instead of across the rows.

The data were typed by K.Wright from Panse (1941) p. 864-865.

Source

V. G. Panse (1941). Studies in the technique of field experiments. V. Size and shape of blocks and arrangements of plots in cotton trials. The Indian Journal Of Agricultural Science, 11, 850-867 https://archive.org/details/in.ernet.dli.2015.271747/page/n955

References

Hutchinson, J. B. and V. G. Panse (1936). Studies in the technique of field experiments. I. Size, shape and arrangement of plots in cotton trials. Indian J. Agric. Sci., 5, 523-538. https://archive.org/details/in.ernet.dli.2015.271739/page/n599

V.G. Panse and P.V. Sukhatme. (1954). Statistical Methods for Agricultural Workers. First edition page 137. Fourth edition, page 131.

Examples

if (FALSE) { # \dontrun{

library(agridat)
data(panse.cotton.uniformity)
dat <- panse.cotton.uniformity
  
# match the CV of Panse 1954
# sd(dat$yield)/mean(dat$yield) * 100
# 32.1
  
# match the fertility map of Hutchinson, fig 1
libs(desplot)
desplot(dat, yield ~ col*row,
        flip=TRUE, aspect=207/150, # true aspect
        main="panse.cotton.uniformity")

} # }