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Analysis of the variances of South African pig carcass classification parameters

Dissertation (MSc)--University of Pretoria, 2018.

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Other Authors: Casey, N.H. (Norman Henry)
Format: Thesis
Language:English
Published: University of Pretoria 2019
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access_status_str Open Access
author2 Casey, N.H. (Norman Henry)
author_browse Casey, N.H. (Norman Henry)
author_facet Casey, N.H. (Norman Henry)
collection Thesis
dc_rights_str_mv © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc)--University of Pretoria, 2018.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:40:00.333Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/68473 Analysis of the variances of South African pig carcass classification parameters Casey, N.H. (Norman Henry) tamara.duplessis@yahoo.com Webb, E.C. (Edward Cottington) Du Plessis, Tamara UCTD Pig carcass classification Warm carcass mass Fat thickness measurement Eye muscle area Natural and agricultural sciences theses SDG-02 Natural and agricultural sciences theses SDG-03 Natural and agricultural sciences theses SDG-08 Dissertation (MSc)--University of Pretoria, 2018. This study analysed pig carcass records from a commercial abattoir to determine the existence of variance between/within the parameters, warm carcass mass (WCM) and back fat thickness (Fat), of the South African pig carcass classification system between class, gender, mass cluster and producer. A second part included taking the carcass measurements back fat thickness, eye muscle length (EML), depth (EMD) and area (EMA) and analysing the records to determine the relationship between the parameters and if a predictor could be identified to predict EMA and lean meat percentage (LM%). A data set of 65 788 pig carcass records from a commercial abattoir was analysed and it was determined that the relationship between Fat and WCM was strong across all the data. When the data was divided into males and females across all the data the relationship between Fat and WCM was stronger (P < 0.0001) in females which was also seen within the Sausagers class. However, when the carcasses that are classified into the P, O, R, C, U or S classes were examined the relationship between Fat and WCM was stronger (P < 0.0001) for males. Overlaps were found between the mass categories, Porkers, Cutters, Baconers and Heavy Baconers, which is an area of concern as these categories are used along with the P, O, R, C, U and S fat divisions to determine the monetary value of the carcass. However, the amount of variation found within class was low, with the exception of the PP class and S classes, therefore showing that the PORCUS carcass classification system in South Africa can still reliably describe carcass composition. Lastly, the data was analysed to determine the existence of a producer effect. Fifteen producers were chosen on the basis of having produced 200 or more carcasses. The linear and quadratic relationships between Fat and WCM across the 15 producers improved by 10%. Within the 15 producers the R2 values ranged from 0.12 to 0.72, showing that producer had a significant effect (P < 0.0001). The second part of the study included measuring the carcass characteristics, fat thickness (Sfat), eye muscle length (EML), eye muscle depth (EMD) and eye muscle area (EMA) at the point between the 2nd and 3rd last ribs, 45 mm from the dorsal midline using a calliper, on 87 carcasses and analysing the recorded data. Fat thickness (HGPFat) recorded by the Hennessy Grading Probe (HGP) was also recorded and analysed. Differences were found between the HGPFat and Sfat measurements which may be attributed to the different apparatus being used to take the measurements or because the HGPFat was taken on a warm carcass and Sfat was measured on a cold carcass or a combination of the two factors may have contributed to the difference. Warm carcass mass and EML were found to have the strongest relationship (P < 0.0001) out of all the carcass characteristics measured where WCM could explain 41% of the variation seen within EML and had a Pearson’s correlation coefficient of 0.64. Eye muscle area was able to explain 25% of the variation within WCM. bs2026 Animal and Wildlife Sciences MSc (Agric) Unrestricted SDG-02: Zero hunger SDG-03: Good health and well-being SDG-12: Responsible consumption and production 2019-02-18T06:33:44Z 2019-02-18T06:33:44Z 2019 2018 Dissertation Du Plessis, T 2018, Analysis of the variances of South African pig carcass classification parameters, MSc (Agric) Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/68473> A2019 http://hdl.handle.net/2263/68473 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Pig carcass classification
Warm carcass mass
Fat thickness measurement
Eye muscle area
Natural and agricultural sciences theses SDG-02
Natural and agricultural sciences theses SDG-03
Natural and agricultural sciences theses SDG-08
Analysis of the variances of South African pig carcass classification parameters
title Analysis of the variances of South African pig carcass classification parameters
title_full Analysis of the variances of South African pig carcass classification parameters
title_fullStr Analysis of the variances of South African pig carcass classification parameters
title_full_unstemmed Analysis of the variances of South African pig carcass classification parameters
title_short Analysis of the variances of South African pig carcass classification parameters
title_sort analysis of the variances of south african pig carcass classification parameters
topic UCTD
Pig carcass classification
Warm carcass mass
Fat thickness measurement
Eye muscle area
Natural and agricultural sciences theses SDG-02
Natural and agricultural sciences theses SDG-03
Natural and agricultural sciences theses SDG-08
url http://hdl.handle.net/2263/68473