Literature DB >> 21871739

Lean meat prediction with HGP, CGM and CSB-Image-Meater, with prediction accuracy evaluated for different proportions of gilts, boars and castrated boars in the pig population.

B Engel1, E Lambooij, W G Buist, P Vereijken.   

Abstract

Prediction equations for the percentage lean meat in pig carcasses in The Netherlands were derived for the Hennessy Grading Probe 7, Capteur Gras/Maigre--Sydel and CSB-Image-Meater. Because castrated males are expected to vanish from the Dutch pig population in the near future, accuracy of prediction was evaluated for different scenarios representing a wide range of different proportions for entire males, castrated males and females in the Dutch pig population. The prediction equations for the instruments are in compliance with the EC regulations for prediction accuracy for the different scenarios. So, these equations will remain valid when castrated males are (gradually) removed from the Dutch slaughter population. Results of this study are of interest for researchers from countries or areas contemplating the use of one of the aforementioned instruments. The statistical approach for evaluation of prediction accuracy is of particular interest when changes in proportions of important subpopulations in the target population are foreseen.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21871739     DOI: 10.1016/j.meatsci.2011.07.020

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  2 in total

1.  Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images.

Authors:  Arthur F A Fernandes; João R R Dórea; Bruno Dourado Valente; Robert Fitzgerald; William Herring; Guilherme J M Rosa
Journal:  J Anim Sci       Date:  2020-08-01       Impact factor: 3.159

2.  Performance of pigs kept under different sanitary conditions affected by protein intake and amino acid supplementation.

Authors:  Y van der Meer; A Lammers; A J M Jansman; M M J A Rijnen; W H Hendriks; W J J Gerrits
Journal:  J Anim Sci       Date:  2016-11       Impact factor: 3.159

  2 in total

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