Literature DB >> 20416687

Comparison of different devices for predicting the lean meat percentage of pig carcasses.

Maria Font I Furnols1, Marina Gispert.   

Abstract

Lean meat percentage (LMP) is the criterion for carcass classification and it must be measured on line objectively. The aim of this work was to compare the error of the prediction (RMSEP) of the LMP measured with the following different devices: Fat-O-Meat'er (FOM), UltraFOM (UFOM), AUTOFOM and VCS2000. For this reason the same 99 carcasses were measured using all 4 apparatuses and dissected according to the European Reference Method. Moreover a subsample of the carcasses (n=77) were fully scanned with X-ray Computed Tomography equipment (CT). The RMSEP calculated with cross validation leave-one-out was lower for FOM and AUTOFOM (1.8% and 1.9%, respectively) and higher for UFOM and VCS2000 (2.3% for both devices). The error obtained with CT was the lowest (0.96%) in accordance with previous results, but CT cannot be used on line. It can be concluded that FOM and AUTOFOM had better accuracy than UFOM and VCS2000.

Entities:  

Year:  2009        PMID: 20416687     DOI: 10.1016/j.meatsci.2009.06.018

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


  8 in total

1.  Application of AutoFom III equipment for prediction of primal and commercial cut weight of Korean pig carcasses.

Authors:  Jung Seok Choi; Ki Mun Kwon; Young Kyu Lee; Jang Uk Joeng; Kyung Ok Lee; Sang Keun Jin; Yang Il Choi; Jae Joon Lee
Journal:  Asian-Australas J Anim Sci       Date:  2018-07-26       Impact factor: 2.509

2.  Nondestructive Estimation of Lean Meat Yield of South Korean Pig Carcasses Using Machine Vision Technique.

Authors:  Santosh Lohumi; Collins Wakholi; Jong Ho Baek; Byeoung Do Kim; Se Joo Kang; Hak Sung Kim; Yeong Kwon Yun; Wang Yeol Lee; Sung Ho Yoon; Byoung-Kwan Cho
Journal:  Korean J Food Sci Anim Resour       Date:  2018-10-31       Impact factor: 2.622

3.  Economic Analysis of the Use of VCS2000 for Pork Carcass Meat Yield Grading in Korea.

Authors:  Juntae Kim; Hyo-Dong Han; Wang Yeol Lee; Collins Wakholi; Jayoung Lee; Youn-Bok Jeong; Jeong Hwan Bae; Byoung-Kwan Cho
Journal:  Animals (Basel)       Date:  2021-04-30       Impact factor: 2.752

4.  Correlation between the Korean pork grade system and the amount of pork primal cut estimated with AutoFom III.

Authors:  Yunhwan Park; Eunyoung Ko; Kwangwook Park; Changhyun Woo; Jaeyoung Kim; Sanghun Lee; Sanghun Park; Yun-A Kim; Gyutae Park; Jungseok Choi
Journal:  J Anim Sci Technol       Date:  2022-01-31

5.  Relationship between porcine carcass grades and estimated traits based on conventional and non-destructive inspection methods.

Authors:  Seok-Won Lim; Doyon Hwang; Sangwook Kim; Jun-Mo Kim
Journal:  J Anim Sci Technol       Date:  2022-01-31

6.  Consequences of the natural course of articular osteochondrosis in pigs for the suitability of computed tomography as a screening tool.

Authors:  Kristin Olstad; Jørgen Kongsro; Eli Grindflek; Nils I Dolvik
Journal:  BMC Vet Res       Date:  2014-09-09       Impact factor: 2.741

7.  Implementation of Multispectral Imaging (MSI) for Microbiological Quality Assessment of Poultry Products.

Authors:  Evgenia D Spyrelli; Agapi I Doulgeraki; Anthoula A Argyri; Chrysoula C Tassou; Efstathios Z Panagou; George-John E Nychas
Journal:  Microorganisms       Date:  2020-04-11

8.  Dietary intake of bioactive ingredients impacts liver and adipose tissue transcriptomes in a porcine model of prepubertal early obesity.

Authors:  Maria Ballester; Raquel Quintanilla; Francisco J Ortega; José C E Serrano; Anna Cassanyé; Maria Rodríguez-Palmero; José A Moreno-Muñoz; Manuel Portero-Otin; Joan Tibau
Journal:  Sci Rep       Date:  2020-03-25       Impact factor: 4.379

  8 in total

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