IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v10y2020i6p222-d369804.html
   My bibliography  Save this article

Resource-Efficient Classification and Early Predictions of Carcass Composition in Fattening Pigs by Means of Ultrasound Examinations

Author

Listed:
  • Bernd Reckels

    (Institute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, D-30173 Hanover, Germany)

  • Richard Hölscher

    (Hoelscher + Leuschner GmbH & Co. KG; D-48488 Emsbueren, Germany)

  • Cornelia Schwennen

    (Clinic for Swine and Small Ruminants, University Veterinary Medicine Hannover, Foundation, D-30173 Hanover, Germany)

  • Alexandra Lengling

    (Institute of Agricultural Engineering, University of Bonn, 53115 Bonn, Germany)

  • Ute Stegemann

    (Institute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, D-30173 Hanover, Germany)

  • Karl-Heinz Waldmann

    (Clinic for Swine and Small Ruminants, University Veterinary Medicine Hannover, Foundation, D-30173 Hanover, Germany)

  • Christian Visscher

    (Institute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, D-30173 Hanover, Germany)

Abstract

The development of the backfat thickness of fattening pigs in relation to their weight allows first conclusions to be drawn concerning the efficiency of individual growth and classification of the carcass. The hypothesis was that, firstly, via measurement of backfat thickness and muscle diameter, their ratio and the quality of the carcass can be predicted and that, secondly, using resource-efficient and sustainable feeding has no negative effects on the carcass. Over a 70-day period, ultrasound examinations of backfat and musculus longissimus dorsi were performed in a pen with sorting gates and automatic body mass recordings every two weeks on 121 animals of the same age, starting at approximately 50 kg. Data were subdivided into four groups for each measurement time. There was weak (Examination 1: r = −0.28164; p = 0.0018) but steadily increasing correlation (Examination 5: r = −0.60657; p ≤ 0.0001) between the backfat/muscle ratio and the carcass quality. In all four groups, significant differences in the diameter of the M. longissimus dorsi (“light fat (LF) = 3.29 cm; “light lean (LL)” = 3.62 cm; “heavy fat (HF)” = 3.69 cm; “heavy lean (HL)” = 3.93 cm) and in backfat thickness (LF = 0.44 cm; LL = 0.38 cm; HF= 0.47 cm; HL= 0.39 cm) could be shown during the first examination.

Suggested Citation

  • Bernd Reckels & Richard Hölscher & Cornelia Schwennen & Alexandra Lengling & Ute Stegemann & Karl-Heinz Waldmann & Christian Visscher, 2020. "Resource-Efficient Classification and Early Predictions of Carcass Composition in Fattening Pigs by Means of Ultrasound Examinations," Agriculture, MDPI, vol. 10(6), pages 1-16, June.
  • Handle: RePEc:gam:jagris:v:10:y:2020:i:6:p:222-:d:369804
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/10/6/222/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/10/6/222/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:10:y:2020:i:6:p:222-:d:369804. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.