hutchinson.cotton.uniformity {agridat} | R Documentation

## Uniformity trial of cotton

### Description

Uniformity trial of cotton in India in 1934.

### Usage

    data("hutchinson.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 in between rows and length 186 feet 8 in.

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.

### Source

V.G. Panse and P.V. Sukhatme. Statistical Methods for Agricultural Workers. First edition page 137. Fourth edition, page 131. http://krishikosh.egranth.ac.in/bitstream/1/2049376/1/44688.pdf

### References

Hutchinson, J. B. and V. G. Panse (1936). Studies in the technique of field experiments. Indian J. Agric. Sci., 5, 523-38.

### Examples

    ## Not run:

      data(hutchinson.cotton.uniformity)
      dat <- hutchinson.cotton.uniformity

      # match the CV of Panse
      # sd(dat$yield)/mean(dat$yield) * 100
      # 32.1

      # match the fertility map of Hutchinson, fig 1
      require(desplot)
      desplot(yield ~ col*row, dat,
              flip=TRUE, aspect=207/150, # true aspect
              main="hutchinson.cotton.uniformity")

    ## End(Not run)

[Package agridat version 1.16 Index]