Literature DB >> 22726699

A review of the development and use of video image analysis (VIA) for beef carcass evaluation as an alternative to the current EUROP system and other subjective systems.

C R Craigie1, E A Navajas, R W Purchas, C A Maltin, L Bünger, S O Hoskin, D W Ross, S T Morris, R Roehe.   

Abstract

The current EUROP beef carcass classification scheme is still largely dependent on visually assessed fatness and conformation and its purpose is to provide a common basis for the description of carcasses for use in trade, price reporting and intervention. The meat industry, however, aims for accurately predicted saleable meat yield (SMY%) to which the EUROP carcass classification shows highly variable correlations due in part to the variable distribution of fat throughout the carcass as affected by breed, sex, diet, and the level of fat trimming. Video image analysis (VIA) technology is capable of improving the precision and accuracy of SMY% prediction even for specific carcass joints and simultaneously mimics the visual assessment to comply with EU regulations on carcass classification. This review summarises the development and use of VIA for evaluation of beef carcasses and discusses the advantages and shortfalls of the technology and its application.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22726699     DOI: 10.1016/j.meatsci.2012.05.028

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


  7 in total

1.  Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1.

Authors:  Donagh P Berry; Thierry Pabiou; Rory Fanning; Ross D Evans; Michelle M Judge
Journal:  J Anim Sci       Date:  2019-05-30       Impact factor: 3.159

2.  Effect of carcass fat and conformation class on consumer perception of various grilled beef muscles.

Authors:  Dominika Guzek; Dominika Głąbska; Krystyna Gutkowska; Agnieszka Wierzbicka
Journal:  J Food Sci Technol       Date:  2016-10-17       Impact factor: 2.701

3.  Evaluation of an Image Analysis Approach to Predicting Primal Cuts and Lean in Light Lamb Carcasses.

Authors:  Ana Catharina Batista; Virgínia Santos; João Afonso; Cristina Guedes; Jorge Azevedo; Alfredo Teixeira; Severiano Silva
Journal:  Animals (Basel)       Date:  2021-05-12       Impact factor: 2.752

4.  Carcass and Primal Composition Predictions Using Camera Vision Systems (CVS) and Dual-Energy X-ray Absorptiometry (DXA) Technologies on Mature Cows.

Authors:  José Segura; Jennifer L Aalhus; Nuria Prieto; Ivy L Larsen; Manuel Juárez; Óscar López-Campos
Journal:  Foods       Date:  2021-05-18

5.  Prediction of the Hind-Leg Muscles Weight of Yearling Dairy-Beef Steers Using Carcass Weight, Wither Height and Ultrasound Carcass Measurements.

Authors:  Addisu Hailu Addis; Hugh Thomas Blair; Stephen Todd Morris; Paul Richard Kenyon; Nicola Maria Schreurs
Journal:  Animals (Basel)       Date:  2020-04-09       Impact factor: 2.752

6.  Assessing the Feasibility of Using Kinect 3D Images to Predict Light Lamb Carcasses Composition from Leg Volume.

Authors:  Severiano R Silva; Mariana Almeida; Isabella Condotta; André Arantes; Cristina Guedes; Virgínia Santos
Journal:  Animals (Basel)       Date:  2021-12-19       Impact factor: 2.752

7.  Across-country genetic evaluation of meat sheep from Ireland and the United Kingdom.

Authors:  Shauna Fitzmaurice; Joanne Conington; Kevin McDermott; Noirin McHugh; Georgios Banos
Journal:  J Anim Breed Genet       Date:  2022-02-01       Impact factor: 3.271

  7 in total

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