Literature DB >> 22062993

Application of computer image analysis to measure pork marbling characteristics.

L Faucitano1, P Huff, F Teuscher, C Gariepy, J Wegner.   

Abstract

Sixty longissimus (L) muscle chops were selected according to marbling score in order to develop a technique for the quantitative description of marbling fat by means of computer image analysis (CIA) and study its relationship with intramuscular fat content and shear force variation in pork. L muscle samples were taken from gilts belonging to three genetic lines differing in carcass leanness, namely Large White (LW), Meishan-derived dam line (M) and Synthetic Genex 3000 (SG). SG gilts had leaner loins (P<0.001) than LW and M. However, the SG loins were more marbled (P<0.001) and had higher IMF content. In addition, CIA analysis showed that marbling fat was finer and better distributed in the SG line. CIA marbling characteristics were significantly correlated with both IMF content (P<0.001) and shear force values (P<0.05) demonstrating the reliability of this technique to assess the contribution of marbling characteristics to variations in pork eating quality.

Entities:  

Year:  2004        PMID: 22062993     DOI: 10.1016/j.meatsci.2004.09.010

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


  6 in total

1.  Nondestructive methods for quality evaluation of livestock products.

Authors:  K Narsaiah; Shyam N Jha
Journal:  J Food Sci Technol       Date:  2011-02-17       Impact factor: 2.701

2.  Comparison of pork quality and sensory characteristics for antibiotic free yorkshire crossbreds raised in hoop houses.

Authors:  N Whitley; D Hanson; W Morrow; M T See; S-H Oh
Journal:  Asian-Australas J Anim Sci       Date:  2012-11       Impact factor: 2.509

Review 3.  Recent developments in hyperspectral imaging for assessment of food quality and safety.

Authors:  Hui Huang; Li Liu; Michael O Ngadi
Journal:  Sensors (Basel)       Date:  2014-04-22       Impact factor: 3.576

4.  Nondestructive classification of saffron using color and textural analysis.

Authors:  Morteza Mohamadzadeh Moghadam; Masoud Taghizadeh; Hassan Sadrnia; Hamid Reza Pourreza
Journal:  Food Sci Nutr       Date:  2020-02-27       Impact factor: 2.863

5.  Intramuscular Fat Prediction Using Color and Image Analysis of Bísaro Pork Breed.

Authors:  Alfredo Teixeira; Severiano R Silva; Marianne Hasse; José M H Almeida; Luis Dias
Journal:  Foods       Date:  2021-01-12

6.  Visual evaluation of sliced Italian salami by image analysis.

Authors:  Annalisa Romano; Paolo Masi; Silvana Cavella
Journal:  Food Sci Nutr       Date:  2017-11-12       Impact factor: 2.863

  6 in total

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