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H^2 = \frac{2.5 \times Var(Family)}{Var(Family) + Var(Tree) + Var(Residual)}  \end{equation}  The analyses were conducted in R \cite{R} and JAGS \cite{RJAGS}, utilizing a Bayesian approach to estimate the posterior distributions for the heritability of growth-strain and other wood properties. The effect of coppicing and trial section were included as fixed effects, while half sibling family and the individual trees are included as random effects. Although all specimens were grown on the same site, they were grown during different time periods which are confounded with the effect of the two provenances and hence are included as the trial section fixed-effect. The tree effect accounts for the measurement unit, as the same trees were assessed as both seedlings and coppice.  In addition, residuals were modeled separately for each section. Aproximatly 35\% of the strain data was left-censored, and the JAGS function \verb|dinterval| was used to simulate the truncated data, for details see \cite{Ekstr_m_2013}.