masood.rice.uniformity: Uniformity trial of rice

In agridat: Agricultural Datasets

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.

The yield values in Masood are labeled as "gm^2" (gram per sq meter), but this would be extremely low. Probably should be "kgm^2".

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

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

Used with permission of Asif Masood.

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

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. https://doi.org/10.5829/idosi.aejsr.2012.7.6.1926

Examples

## Not run: 

library(agridat)

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

  libs(agricolae)
  libs(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)

agridat documentation built on Oct. 27, 2024, 5:07 p.m.