Uniformity trial of tomato in India.

data("shafi.tomato.uniformity")

Format

A data frame with 200 observations on the following 3 variables.

row

row ordinate

col

column ordinate

yield

yield, kg/plot

Details

The original data was collected on 1m x 1m plots. The data here are aggregated 2m x 2m plots.

Field length: 20 row * 2 m = 40 m

Field width: 10 col * 2 m = 20 m

Source

Shafi, Sameera (2007). On Some Aspects of Plot Techniques in Field Experiments on Tomato (Lycopersicon esculentum mill.) in Soils of Kashmir. Thesis. Univ. of Ag. Sciences & Technology of Kashmir. Table 2.2.1. https://krishikosh.egranth.ac.in/handle/1/5810083035

References

Shafi, Sameera; S.A.Mir, Nageena Nazir, and Anjum Rashid. (2010). Optimum plot size for tomato by using S-PLUS and R-software's in the soils of Kashmir. Asian J. Soil Sci., 4, 311-314. https://www.researchjournal.co.in/upload/assignments/4_311-314.pdf

Examples

# \dontrun{ library(agridat) data(shafi.tomato.uniformity) shafi.tomato.uniformity <- dat
#> Error in eval(expr, envir, enclos): object 'dat' not found
libs(desplot) desplot(dat, yield ~ col*row, aspect=40/20, # true aspect main="shafi.tomato.uniformity")
#> Error in desplot(dat, yield ~ col * row, aspect = 40/20, main = "shafi.tomato.uniformity"): object 'dat' not found
# }