herit: Calculate heritability

In statgenGxE: Genotype by Environment (GxE) Analysis

Calculate heritability

Description

Calculate the heritability based on the fitted model. The heritability is calculated as described by Atlin et al. E.g. for a model with trials nested within locations, which has a random part that looks like this: genotype + genotype:location + genotype:location:trial the heritability is computed as

\sigma_G^2 / (\sigma_G^2 + \sigma_L^2 / l + \sigma_{LT}^2 / lt + \sigma_E^2 / ltr)

In this formula the \sigma terms stand for the standard deviations of the respective model terms, and the lower case letters for the number of levels for the respective model terms. So \sigma_L is the standard deviation for the location term in the model and l is the number of locations. \sigma_E corresponds to the residual standard deviation and r to the number of replicates.

Usage

herit(varComp)

Arguments

varComp

An object of class varComp.

References

Atlin, G. N., Baker, R. J., McRae, K. B., & Lu, X. (2000). Selection response in subdivided target regions. Crop Science, 40(1), 7–13. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2135/cropsci2000.4017")}

See Also

Other Mixed model analysis: CRDR(), correlations(), diagnostics(), gxeVarComp(), plot.varComp(), predict.varComp(), vc()

Examples

## Fit a mixed model.
geVarComp <- gxeVarComp(TD = TDMaize, trait = "yld")

## Compute heritability.
herit(geVarComp)

statgenGxE documentation built on May 29, 2024, 1:30 a.m.