Calculate average heritability of differences between genotypes from model object
H2_Delta.RdInstead of computing heritability on a "entry-mean" basis, this method
calculates heritability using "entry-differences". Entry here is
referring to the genotype, line or variety of interest. See
reference for origin and interpretation of H2_Delta and it's variants
Arguments
- model
Model object of class
lmerMod/merModorasreml- target
The name of the random effect for which heritability is to be calculated.
- type
character, whether heritability is calculated using BLUEs or BLUPs
- aggregate
character, when taking means in the calculation, should harmonic or arithmetic mean be used?
- options
NULL by default, for internal checking of model object before calculations
Details
The heritability of differences between genotypes is given by:
$$H^2_{\Delta ..} = 1 - \frac{PEV^{BLUP}_{\overline\Delta ..}}{2\sigma^2_g}$$
where:
\(PEV^{BLUP}_{\overline\Delta ..}\) is the mean of the prediction error variance matrix for the pairwise differences among BLUPs (BLUEs if
method = "BLUE") across all genotypes\(\sigma^2\) is the variance attributed to differences between genotype
See reference page 995 - 997 for full derivation of this heritability measure and related variants
References
Schmidt, P., Hartung, J., Rath, J., & Piepho, H.-P. (2019). Estimating Broad-Sense Heritability with Unbalanced Data from Agricultural Cultivar Trials. Crop Science, 59(2), 525–536. https://doi.org/10.2135/cropsci2018.06.0376
Examples
# lme4 model
lettuce_subset <- lettuce_phenotypes |> subset(loc == "L2")
lettuce_lme4 <- lme4::lmer(y ~ rep + (1 | gen), data = lettuce_subset)
H2_Delta(lettuce_lme4, target = "gen", type = "BLUP")
#> [1] 0.8294971
# asreml model (Requires license)
if (FALSE) { # \dontrun{
lettuce_asreml <- asreml::asreml(fixed = y ~ rep,
random = ~ gen,
data = lettuce_subset,
trace = FALSE
)
H2_Delta(lettuce_asreml, target = "gen", type = "BLUP")
} # }