Literature DB >> 22062050

The estimated accuracy of the EU reference dissection method for pig carcass classification.

P M Nissen1, H Busk, M Oksama, M Seynaeve, M Gispert, P Walstra, I Hansson, E Olsen.   

Abstract

This experiment was designed to describe the accuracy of the EU-reference dissection method, and to describe the types of factors influencing the accuracy and assess their size. The experiment was conducted in four different European countries at two abattoirs within each country. A total of 128 carcasses was selected according to carcass weight, fat class and sex, and 8 butchers from different countries dissected the carcasses. Due to the experimental design of the experiment a variation in pig type was found between countries. The accuracy was expressed by the repeatability and reproducibility standard deviation, which were found to be 0.87 and 1.10, respectively, and by the reliability, found to be 0.87. This indicates a high accuracy, although a significant effect was found on the estimation of lean meat percentage (LMP) of butcher, and also that jointing of the carcass was of overall importance to the accuracy of the EU-reference dissection method.

Entities:  

Year:  2005        PMID: 22062050     DOI: 10.1016/j.meatsci.2005.10.009

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


  2 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

  2 in total

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