MCMCglmm: square root of the sampling variance of additive genetic variance
Hi, Just to clarify this:
The MCMCglmm estimates the posterior distribution of the additive and residual variances, to my knowledge then, there is no standard error associated with it rather you can output the HPD interval or highest posterior density interval at a 95 or 98% confidence interval, which you already have done. I stand to be corrected though.
The sd() of the MCMC chain is indeed an estimate of the standard error (+ some error itself coming from the Monte Carlo process), though HPD interval is indeed probably a better (and more Bayesian, in a way) way to measure the uncertainty. I might also stand to be corrected! ;) Cheers, Pierre.