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\begin{table}
\begin{tabular}{ c c c c c c }
& Density & Volumetric Shrinkage &
Acustic Acoustic Velocity & Stiffness & Strain \\
Diameter & 0.15 & -0.10 &-0.02 & 0.02 & 0.12 \\
Density & & 0.12 &-0.03 &0.22 &0.023 \\
Volumetric Shrinkage & & &-0.37 &-0.33 &-0.26 \\
Aciustic Velocuity Acoustic Velocity & & & &0.96 &0.61 \\
Stiffness & & & & & 0.61 \\
\end{tabular}
\caption{Person correlation between wood properties at the individual stem level.}
\end{table}
All stems measured within each family were averaged to give correlations between properties at the family level. All correlations increase in strength when compared to individual stem correlations. A very strong positive relationship is evident between growth-strain and stiffness at the family level.
This means that reducing growth-strain will require reducing wood stiffness at the population level. On the positive side, \textit{Eucalyptus} species have such high wood stiffness that a reduction would not have practical implications from a wood processing viewpoint.
\begin{table}
\begin{tabular}{ c c c c c c }
...
Diameter &0.18 &-0.54 &0.47 &0.47 & 0.39 \\
Density & &-0.29 &0.20 & 0.37 & 0.32 \\
Volumetric Shrinkage & & &-0.71 &0.71 & -0.65 \\
Aciustic Velocuity Acoustic Velocity & & & &0.98 & 0.88 \\
Stiffness & & & & & 0.89\\
\end{tabular}
\caption{Person
corolation correlation between average family values for measured wood properties.}
\end{table}
We have made some alterations to the original Chauhan & Entwistle method to convert it from a research to an operational
activity. The technique; the effect of these changes should be negligible. The linear error introduced by using large-end diameter rather than average diameter of the stem will result in a slight reduction of all reported strains over the original method. Leaving the
small end small-end intact (that is, not cutting it as in the
original splitting test) does not release as much strain as the original method, again lowering the growth-strain value over all samples. Further work is required to determine the accuracy and precision of both tests and to separate natural
variability within the stems, within-stem variability, from variability between stems.
Genetic gain per unit of time for a breeding programme depends on four elements: variability
fo for the trait under selection, selection intensity (proportion of individuals selected), accuracy of prediction
(related (proportional to heritability) and time required for turning a breeding cycle. New phenotyping techniques, like rapid growth-strain testing,
increases increase selection intensity (as more trees are able to be assessed), and
reduces reduce selection time (as trees can be 1 year old when tested). As far as we are aware, variability for early wood properties is not smaller than at typical selection age, and the degree of genetic control is also similar \cite{apiolaza2011}.