Additive genetic variance can be estimated in a number of ways, and is a key concept in evolutionary biology and quantitative genetics.
What are the typical methods (experimental designs) used to estimate this variance? How are they done?
I found papers such as this, which use paternal half sib breeding designs and the fit a model to estimate genetic variance and then multiply the values by 4 to estimate the G-matrix.
Of particular importance is the sire-level covariance matrix because, when multiplied by four, it provides an estimate of G.
I am interested in this because I am working on hemiclones and want to think about the differences, strengths, and weaknesses of classical methods compared to hemiclonal analysis.
*note, I mean to estimate the standing additive genetic variation within a population