| Prediction of lean meat content in pork carcasses using the Hennessy Grading Probe and the Fat-O-Meater in Argentina. | |
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MedLine Citation:
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PMID: 22062924 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Rapid evolution of pork production in Argentina requires new calibrations for predicting carcass lean meat percentage with the Fat-O-Meater (FOM) and Hennessy Grading Probe (HGP), first adopted in 1995. The second objective was to unify the lean percentage units with those applied by the European Union. Carcasses of 59 gilts and 56 barrows from different environments and breeds were tested. Carcass weights were from 65 to 117kg, and lean content was from 38% to 62%. Predicting lean content by multiple regression equations, the coefficients of determination R(2) were 0.801 and 0.794 for the FOM and HGP equations, and the residual standard deviations (RSD) were 2.40% and 2.45%, respectively. Both instruments had the same precision and were accurate enough to be adopted in national carcass grading classification. Hot carcass weight was not selected as a significant variable. The same prediction equations could be used for gilts and barrows. Quadratic terms did not improve predictions. |
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Authors:
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P Goenaga; M R Lloveras; C Améndola |
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Publication Detail:
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Type: Journal Article Date: 2007-12-15 |
Journal Detail:
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Title: Meat science Volume: 79 ISSN: 0309-1740 ISO Abbreviation: Meat Sci. Publication Date: 2008 Jul |
Date Detail:
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Created Date: 2011-11-08 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101160862 Medline TA: Meat Sci Country: England |
Other Details:
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Languages: eng Pagination: 611-3 Citation Subset: - |
Affiliation:
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Estación Experimental Agropecuaria Pergamino, Instituto Nacional de Tecnología Agropecuaria INTA, CC 31, 2700 Pergamino, Buenos Aires, Argentina. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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