Results of pig carcass classification according to SEUROP in the Czech Republic
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...
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Czech Academy of Agricultural Sciences
2009-05-01
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| Series: | Czech Journal of Animal Science |
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| Online Access: | https://cjas.agriculturejournals.cz/artkey/cjs-200905-0004_results-of-pig-carcass-classification-according-to-seurop-in-the-czech-republic.php |
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| author | J. Kvapilík J. Přibyl Z. Růžička D. Řehák |
| author_facet | J. Kvapilík J. Přibyl Z. Růžička D. Řehák |
| author_sort | J. Kvapilík |
| collection | DOAJ |
| description | 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 year-season 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. |
| first_indexed | 2024-04-10T08:27:27Z |
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| institution | Directory Open Access Journal |
| issn | 1212-1819 1805-9309 |
| language | English |
| last_indexed | 2024-04-10T08:27:27Z |
| publishDate | 2009-05-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Czech Journal of Animal Science |
| spelling | doaj.art-8b283ca7ad2d45f09cff0d8f19d9b3f32023-02-23T03:32:40ZengCzech Academy of Agricultural SciencesCzech Journal of Animal Science1212-18191805-93092009-05-0154521722810.17221/1662-CJAScjs-200905-0004Results of pig carcass classification according to SEUROP in the Czech RepublicJ. Kvapilík0J. Přibyl1Z. Růžička2D. Řehák3Institute of Animal Science, Prague-Uhříněves, Czech RepublicInstitute of Animal Science, Prague-Uhříněves, Czech RepublicCzech-Moravian Breeders' Corporation, Prague, Czech RepublicInstitute of Animal Science, Prague-Uhříněves, Czech RepublicThrough 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 year-season 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.https://cjas.agriculturejournals.cz/artkey/cjs-200905-0004_results-of-pig-carcass-classification-according-to-seurop-in-the-czech-republic.phppigcarcass classificationaccuracyweightquality classlean meatfat |
| spellingShingle | J. Kvapilík J. Přibyl Z. Růžička D. Řehák Results of pig carcass classification according to SEUROP in the Czech Republic Czech Journal of Animal Science pig carcass classification accuracy weight quality class lean meat fat |
| title | Results of pig carcass classification according to SEUROP in the Czech Republic |
| title_full | Results of pig carcass classification according to SEUROP in the Czech Republic |
| title_fullStr | Results of pig carcass classification according to SEUROP in the Czech Republic |
| title_full_unstemmed | Results of pig carcass classification according to SEUROP in the Czech Republic |
| title_short | Results of pig carcass classification according to SEUROP in the Czech Republic |
| title_sort | results of pig carcass classification according to seurop in the czech republic |
| topic | pig carcass classification accuracy weight quality class lean meat fat |
| url | https://cjas.agriculturejournals.cz/artkey/cjs-200905-0004_results-of-pig-carcass-classification-according-to-seurop-in-the-czech-republic.php |
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