Uniformity trial of rice

Uniformity trial of rice in Madurai, India.

Usage

data("vishnaadevi.rice.uniformity")

Format

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

row

row ordinate

col

column ordinate

yield

yield per plot, grams

Details

A uniformity trial of rice raised during 2017 late samba season near Madurai, India.

Note: There is a clear outlier value '685'. When this outlier is included, the calculated value of CV matches the value in Vishnaadevi et al. If we remove this outlier, the CV is smaller than the value in the paper. This means that the outlier value is not a simple typo in the publication, but was the actual value in the original data.

Field width: 12 columns x 1m = 12 m

Field length: 24 rows x 1m = 24m

Source

Vishnaadevi, S.; K. Prabakaran, E. Subramanian, P. Arunachalam. (2019). Determination of fertility gradient direction and optimum plot shape of paddy crop in Madurai District. Green Farming, 10, 155-159. https://www.researchgate.net/publication/333892867

References

None

Examples

if (FALSE) { # \dontrun{
  library(agridat)
  data(vishnaadevi.rice.uniformity)
  dat <-vishnaadevi.rice.uniformity

  # CV in Table 2 for 1x1 is reported as 2.8
  # sd(dat$yield)/mean(dat$yield) = .0277
  # If we remove the outlier yield 685, then we calculate .0256
  libs(desplot)
  desplot(dat, yield ~ col*row,
          flip=TRUE, aspect=24/12,
          main="vishnaadevi.rice.uniformity")
} # }