deletions | additions       diff --git a/Introduction .tex b/Introduction .tex  index da13897..0dd7e53 100644  --- a/Introduction .tex  +++ b/Introduction .tex 
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Utilising the developments made by \cite{Chauhan_2010} \cite{Entwistle_2014}, a rapid growth strain testing procedure has been developed. In order to minimise the time taken to conduct the growth strain testing on each individual the rapid testing procedure can not account for negative values, where the wood in the centre of the stem is under tension rather than compression, resulting in a left censored dataset.   Left censored data is common in research areas where detection limits are high compared to the measured values, such as testing for the presents of dugs within an animal --ref--. animal.  Bayesian statistics can be used to simulate the missing data from known data, reducing the error induced by zero inflated data sets. Here growth strain, and other wood properties (density, diameter at age two, volumetric shrinkage, acustic velocity and stiffness) are measured on 623 individuals (stems), from 40 half sibling families of \textit{Eucalyptus bosistona}, form two trials consisting of both seed and coppice grown stems. Estimates of narrow sense heritability are obtained from left censored growth strain data and other wood properties, utilising a Bayesian approach.