lmDiallel (version 1.0.1)

lonnquist61: Half diallel of maize dataset

Description

Diallel experiment with six maize varieties and no reciprocals. The data here are means adjusted for block effects.

Usage

data("lonnquist61")

Format

A data.frame with 21 observations on the following 3 variables.

Par1

male parent, a factor with 6 levels

Par2

female parent, a factor with 6 levels

Yield

mean across blocks, a numeric vector

Author

Andrea Onofri, Niccolo' Terzaroli, Luigi Russi

References

Onofri, A., Terzaroli, N. & Russi, L. Linear models for diallel crosses: a review with R functions. Theor Appl Genet (2020). https://doi.org/10.1007/s00122-020-03716-8

Mohring, Melchinger, Piepho. (2011). REML-Based Diallel Analysis. Crop Science, 51, 470-478. http://doi.org/10.2135/cropsci2010.05.0272

C. O. Gardner and S. A. Eberhart. 1966. Analysis and Interpretation of the Variety Cross Diallel and Related Populations. Biometrics, 22, 439-452. http://doi.org/10.2307/2528181

Examples

data("lonnquist61")
dMod <- lm(Yield ~ H.BAR(Par1, Par2) + VEi(Par1, Par2) +
             Hi(Par1, Par2) + SCA(Par1, Par2),
                  data = lonnquist61)
summary.diallel(dMod, MSE = 7.10, dfr = 60)
anova.diallel(dMod, MSE = 7.10, dfr = 60)