lonnquist61 {lmDiallel}

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(s)

Andrea Onofri, Niccolo' Terzaroli, Luigi Russi

Source

J. H. Lonnquist, C. O. Gardner. (1961) Heterosis in Intervarietal Crosses in Maize and Its Implication in Breeding Procedures. Crop Science, 1, 179-183. Table 1.

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)