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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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