agridat (version 1.27)

mauricio.maize.uniformity: Uniformity trial of maize in Ecuador

Description

Uniformity trial of maize in Ecuador 2022

Usage

data("mauricio.maize.uniformity")

Format

A data frame with 624 observations on the following 3 variables.

row

row ordinate

col

column ordinate

yield

yield per plot g

Details

Conducted in Simon Bolivar canton in the province of Guayas, Ecuador, Apr-Sep 2022.

It seems likely that the yield values were plot weights in grams. Mauricio (page 39) says the experiment yield was 220 qq/ha (quintals/hectare). In Ecuador, 1 quintal is probably 100 pounds = 45.4 kg. (but could possibly be 100 kg). It is not clear how the mean yield 2040 g/plot could be converted to 220 qq/ha. Perhaps after drying the grain?

Basic units were 1 meter square. The optimal plot size was determined to be 8.8 m by 5.7 m.

Page 40. For the basic units: mean: 2040.2, Std Dev 162.5, CV = 8.0 percent.

Data provenance: Electronic version prepared by K.Wright from tables in Mauricio (2023) page 59-62.

References

None

Examples

library(agridat)
data(mauricio.maize.uniformity)
dat <- mauricio.maize.uniformity

require(desplot)
desplot(dat, yield ~ col*row,
        flip=TRUE, aspect=(26*1)/(26*1), tick=TRUE,
        main="mauricio.maize.uniformity")

mean(dat$yield) # 2040.2 # match Mauricio
sd(dat$yield) # 162.5