Estimation of lean meat percentage in pig carcass with the use of objective methods with regard to sex
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F25%3A102539" target="_blank" >RIV/60460709:41210/25:102539 - isvavai.cz</a>
Result on the web
<a href="https://cjas.agriculturejournals.cz/pdfs/cjs/2025/09/02.pdf" target="_blank" >https://cjas.agriculturejournals.cz/pdfs/cjs/2025/09/02.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17221/72/2025-CJAS" target="_blank" >10.17221/72/2025-CJAS</a>
Alternative languages
Result language
angličtina
Original language name
Estimation of lean meat percentage in pig carcass with the use of objective methods with regard to sex
Original language description
In the Czech Republic, the pig carcass classification is mandatory in slaughterhouses processing over 200 pigs weekly. As breeding practices evolve to enhance lean meat yield, it is essential to update regression equations used in classification systems. This study presents new regression models for the Fat-O-Meater II (FOM II) device, using computed tomography (CT) as the reference method. Separate equations were developed for barrows, gilts, and boars to improve the accuracy of lean meat percentage (LMC) estimation. To calibrate the CT method, 24 carcasses were selected across a range of backfat thicknesses and sexes. CT scans were performed on chilled left carcass halves, followed by manual dissection to determine the true LMC. A correction model was applied to align the CT-derived LMC with dissection results. Subsequently, 128 carcasses were measured using FOM II and CT to develop sex-specific regression equations using ordinary least squares. The models revealed sex-specific differences in prediction accuracy. Gilts achieved an R2 of 0.66 and RMSEP of 1.35; barrows had higher R2 (0.759) and greater RMSEP (1.46); boars showed the most consistent composition (R2 = 0.734, RMSEP = 1.14). Compared to the standard method, gilts and boars had slightly higher LMC (+0.03% and +0.82%), while barrows had lower LMC (–0.14%). These differences translated into economic impacts, with gains of CZK 1.23 and CZK 4.33 per gilt and boar carcass, respectively, and a loss of CZK 5.55 per barrow carcass. These results support the formulated hypotheses, and the fact that sex-specific calibration enhances classification accuracy and economic efficiency.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40201 - Animal and dairy science; (Animal biotechnology to be 4.4)
Result continuities
Project
<a href="/en/project/QK22020132" target="_blank" >QK22020132: New methods of pig carcass classification</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Czech Journal of Animal Science
ISSN
1212-1819
e-ISSN
1805-9309
Volume of the periodical
70
Issue of the periodical within the volume
9
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
397-403
UT code for WoS article
001587077800003
EID of the result in the Scopus database
2-s2.0-105018310934