Literature DB >> 10784167

Prediction of crude fat content of longissimus muscle of beef using the ratio of fat area calculated from computer image analysis: comparison of regression equations for prediction using different input devices at different stations.

K Kuchida1, S Kono, K Konishi, L D Van Vleck, M Suzuki, S Miyoshi.   

Abstract

Crude fat content of longissimus (ribeye) muscle of beef cattle was predicted from a ratio of fat area (RFA) to area of ribeye muscle calculated from computer image analysis (CIA). Cross sections of 64 ribeyes taken from the 6-7th rib from cattle at experiment station A and cross sections of 94 ribeyes taken from the 6-7th rib from cattle at Experiment Station B were used in this study. Slices (1 to 1.5 cm in thickness) of just the Longissimus dorsi were homogenized and sampled for chemical estimation of crude fat content using petroleum ether. Crude fat content as determined from chemical analysis was used as the true estimate of fat content. A CCD (charge-coupled device) camera was used as the input device at Experiment Station A, and a single-lens reflex camera was used at Experiment Station B to photograph ribeyes for CIA. The contour comparison method, which assigns a threshold value for each marbling particle, was used to obtain accurate binarization in this study. Minimum and maximum of chemical measurements of crude fat were 2.1 and 39.8%, and for CIA calculation of the RFA were 6.1 and 56.8%, respectively. This range covered almost the complete range of the beef marbling standard used in carcass grading in Japan. The equation for the regression of the crude fat content (Y) on RFA (X) calculated from CIA for all of the data was Y = .793X-3.04 with r2 = .96. Regression equations for prediction of crude fat percentage from RFA taking into consideration the effect of experiment station were Y = .741X-2.22 with r2 = .91 for Experiment Station A, and Y = .782X-2.54 with r2 = .91 for Experiment Station B. Analysis of covariance showed that the effects of experiment stations on intercepts and slopes were not significant (P > .10). The ranges of differences between actual and predicted crude fat content from the prediction equation that was calculated without consideration of the effect of station were -6.4 to 4.0%. CIA of cross sections of the ribeye muscle seems to have potential for prediction of crude fat content.

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Year:  2000        PMID: 10784167     DOI: 10.2527/2000.784799x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  5 in total

1.  Assessment of muscle Longissimus thoracis et lumborum marbling by image analysis and relationships between meat quality parameters.

Authors:  Elisa Giaretta; Attilio Luigi Mordenti; Giorgia Canestrari; Nico Brogna; Alberto Palmonari; Andrea Formigoni
Journal:  PLoS One       Date:  2018-08-22       Impact factor: 3.240

2.  Simple spot method of image analysis for evaluation of highly marbled beef.

Authors:  M Irie; K Kohira
Journal:  Asian-Australas J Anim Sci       Date:  2012-04       Impact factor: 2.509

3.  Haplotypes for Type, Degree, and Rate of Marbling in Cattle Are Syntenic with Human Muscular Dystrophy.

Authors:  Sally S Lloyd; Edward J Steele; Jose L Valenzuela; Roger L Dawkins
Journal:  Int J Genomics       Date:  2017-08-17       Impact factor: 2.326

4.  Genetics of Marbling in Wagyu Revealed by the Melting Temperature of Intramuscular and Subcutaneous Lipids.

Authors:  Sally S Lloyd; Jose L Valenzuela; Edward J Steele; Roger L Dawkins
Journal:  Int J Food Sci       Date:  2017-10-23

5.  Comparison of Marbling Fleck Characteristics and Objective Tenderness Parameters with Different Marbling Coarseness within Longissimus thoracis Muscle of High-marbled Hanwoo Steer.

Authors:  Boin Lee; Sungho Yoon; Younkyung Lee; Eunmi Oh; Yun Kyung Yun; Byoung Do Kim; Keigo Kuchida; Hee Kyung Oh; Jeehwan Choe; Young Min Choi
Journal:  Korean J Food Sci Anim Resour       Date:  2018-07-31       Impact factor: 2.622

  5 in total

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