cochran.crd: Potato scab infection with sulfur treatments

In kwstat/agridat: Agricultural Datasets

Potato scab infection with sulfur treatments

Description

Potato scab infection with sulfur treatments

Format

A data frame with 32 observations on the following 5 variables.

inf

infection percent

trt

treatment factor

row

row

col

column

Details

The experiment was conducted to investigate the effect of sulfur on controlling scab disease in potatoes. There were seven treatments. Control, plus spring and fall application of 300, 600, 1200 pounds/acre of sulfur. The response variable was infection as a percent of the surface area covered with scab. A completely randomized design was used with 8 replications of the control and 4 replications of the other treatments.

Although the original analysis did not show significant differences in the sulfur treatments, including a polynomial trend in the model uncovered significant differences (Tamura, 1988).

Source

W.G. Cochran and G. Cox, 1957. Experimental Designs, 2nd ed. John Wiley, New York.

References

Tamura, R.N. and Nelson, L.A. and Naderman, G.C., (1988). An investigation of the validity and usefulness of trend analysis for field plot data. Agronomy Journal, 80, 712-718.

https://doi.org/10.2134/agronj1988.00021962008000050003x

Examples

## Not run: 

library(agridat)
data(cochran.crd)
dat <- cochran.crd

# Field plan
libs(desplot)
desplot(dat, inf~col*row,
        text=trt, cex=1, # aspect unknown
        main="cochran.crd")

# CRD anova.  Table 6 of Tamura 1988
contrasts(dat$trt) <- cbind(c1=c(1,1,1,-6,1,1,1),   # Control vs Sulf
                            c2=c(-1,-1,-1,0,1,1,1)) # Fall vs Sp
m1 <- aov(inf ~ trt, data=dat)
anova(m1)
summary(m1, split=list(trt=list("Control vs Sulf"=1, "Fall vs Spring"=2)))

# Quadratic polynomial for columns...slightly different than Tamura 1988
m2 <- aov(inf ~ trt + poly(col,2), data=dat)
anova(m2)
summary(m2, split=list(trt=list("Control vs Sulf"=1, "Fall vs Spring"=2)))


## End(Not run)

kwstat/agridat documentation built on Nov. 2, 2024, 6:19 a.m.