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Percentage of total condemnations between 2007 2012 per condemnation code per production animal type during normal (N) and emergency (E) slaughters.
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There was an average of 1.3 reasons for condemnation per condemned animal with a maximum of 8. Overall 90% of condemned cattle had at least two different reasons for condemnation.
Other forms of integration structural, functional, or transactional were not considered adequate to avoid per se condemnation.
The mean number of different condemned portions per animal was 1.8 (681,163 condemnation portions for 381,186 cattle condemned) with a minimum of one and a maximum of 18. Overall 80% of the cattle condemned had only one portion of the carcass condemned.
** Descriptive statistics indicating number of abattoirs in each cluster, cluster radius, cluster timeframe, total kidneys condemned per number of market hogs processed (pigs), corresponding condemnation rate per 1000 pigs and observed/expected (O/E) ratio.
** Descriptive statistics indicating number of abattoirs in each cluster, cluster radius, cluster timeframe, total lungs condemned per number of market hogs processed (pigs), corresponding condemnation rate per 1000 pigs and observed/expected (O/E) ratio.
** Descriptive statistics indicating total lungs condemned, carcasses processed (# pigs), corresponding condemnation rates (CR) per 1000 market hogs (pigs) processed and relative risks (RR).
** Descriptive statistics indicating total kidneys condemned, carcasses processed (# pigs), corresponding condemnation rates (CR) per 1000 market hogs (pigs) processed and relative risks (RR).
The condemnation rate per 1000 animals fluctuated over the study period with the most prominent decrease occurring during 2004-2005.
** Descriptive statistics indicating total lungs and kidneys condemned/total number of pigs processed, corresponding condemnation rates per 1000 pigs processed and relative risks (RR).
Linearity of continuous variables was assessed by plotting the log of the condemnation rate per slaughtered cattle for both liver and lung condemnations against the covariate using a locally weighted regression (lowess smoother) approach.
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