Results of pig carcass classification according to SEUROP in the Czech Republic
| Autor: | Josef Přibyl, D. Řehák, J. Kvapilík, Z. Růžička |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
0106 biological sciences
0402 animal and dairy science 04 agricultural and veterinary sciences 040201 dairy & animal science 010603 evolutionary biology 01 natural sciences Animal science Carcass weight Linear regression Animal Science and Zoology Statistical analysis Large size Mathematics Lean meat |
| Zdroj: | Czech Journal of Animal Science. 54:217-228 |
| ISSN: | 1805-9309 1212-1819 |
| Popis: | Through data analysis of 7 571 883 pig carcasses slaughtered from 2004 to 2007 the means of quality classes (QC) 2.32, lean meat percentage (LM) 55.83%, carcass weight (CW) 87.21 kg, muscle thickness (MT) 61.95 mm and fat thickness (FT) 15.95 mm were determined. The highest correlation coefficients are between QC and LM (r = –0.920), LM and FT (–0.900) as well as QC and FT (0.828), the lowest between FT and MT (r = –0.084). Quality class as the dominant indicator is influenced mainly by LM, which explains from 77% to 89% of variability in the case of linear regression. Among the eight methods of pig carcass classification the FOM apparatus was used the most frequently (46.5% carcasses) followed by the ULTRA-FOM 300 apparatus (15.6%), another apparatus (13.2%) and by the IS-D-05 unit (9.8%). In the statistical models used all effects (differences) are statistically significant because of the large size of the data set. The results from the separate evaluation of each cross-classified effect are that EV has the largest influence and yearseason and methods have a smaller influence. The time trend (42 months) documents stable CW and MT, a slight increase in LM and improvement of QC. The estimated results indicate the successful introduction of pig carcass classification in the CR after accession to the EU. |
| Databáze: | OpenAIRE |
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