masood.rice.uniformity {agridat} | R Documentation

## Uniformity trial of rice

### Description

Uniformity trial of rice at Lahore, Punjab, circa 2011.

### Usage

    data("masood.rice.uniformity")

### Format

A data frame with 288 observations on the following 3 variables.

`row`

  row

`col`

  column

`yield`

  yield, kg/m^2

### Details

Data by collected from the Rice Research Institute on a paddy yield trial. A single variety of rice was harvested in an area 12m x 24 m. Yield in kilograms was measured for each square meter. Masood et al report a low degree of similarity for neighboring plots.

Note, the Smith index calculations below match the results in the Pakistan Journal of Agricultural Research, but do not match the results in the American-Eurasian Journal, which seems to be the same paper and seems to refer to the same data. The results may simply differ by a scaling factor.

Field length: 24 plots x 1m = 24m.

Field width: 12 plots x 1m = 12m.

### Source

Masood, M Asif and Raza, Irum. 2012. Estimation of optimum field plot size and shape in paddy yield trial. Pakistan J. Agric. Res., Vol. 25 No. 4, 2012

Used with permission of Asif Masood.

### References

Masood, M Asif and Raza, Irum. 2012. Estimation of optimum field plot size and shape in paddy yield trial. American-Eurasian Journal of Scientific Research, 7, 264-269. Table 1. http://doi.org/10.5829/idosi.aejsr.2012.7.6.1926

### Examples

    ## Not run:

      data(masood.rice.uniformity)
      dat <- masood.rice.uniformity

      require(desplot)
      desplot(yield ~ col*row, data=dat,
              flip=TRUE, tick=TRUE, aspect=24/12, # true aspect
              main="masood.rice.uniformity - yield heatmap")

      require(agricolae)
      require(reshape2)
      dmat <- acast(dat, row~col, value.var='yield')
      index.smith(dmat,
                  main="masood.rice.uniformity",
                  col="red") # CVs match Table 3

    ## End(Not run)

[Package agridat version 1.16 Index]