Literature DB >> 9734860

Composition analysis of pork carcasses by dual-energy x-ray absorptiometry.

A D Mitchell1, A M Scholz, V G Pursel, C M Evock-Clover.   

Abstract

Dual-energy x-ray absorptiometry (DXA) was used as a noninvasive method to measure the composition of pig carcasses. A total of 181 half-carcasses (10 to 51 kg, from pigs slaughtered at approximately 30, 60, 90, and 120 kg) were scanned using a Lunar (Madison, WI) DPX-L densitometer. The DXA measurements of fat, lean, bone mineral, and total tissue mass were compared with chemical analysis for fat, water, protein, total ash, and scale weight. The mean value for total tissue mass by DXA was slightly less than the mean carcass weight (32.3 kg vs 33.6 kg, P > .05, R2 = .998). Although highly correlated (R2 = .81), the DXA measurement of the percentage of fat in the half-carcass was less (P < .001) than the chemical measurement (19.5 vs 24.9%). The DXA measurement of lean tissue mass (total mass less fat and bone mineral) was correlated with carcass protein (R2 = .97) and water (R2 = .99) content. The correlation (R2) between DXA bone mineral content and carcass ash content was only .68; however, DXA bone mineral content was more highly correlated with carcass weight (R2 = .93) than was carcass ash content (R2 = .70). When we used the DXA R value (ratio of the attenuation coefficients for fat and lean) to predict percentage of fat in the carcass, the mean value for predicted carcass fat was 25.9% (P > .05). Similarly, carcass protein and water content were predicted from DXA lean. Using DXA region of interest analysis, estimates of the fat content of the shoulder and ham regions were close to chemical values; however, DXA underestimated the fat content of the loin and side regions by 20 and 28%, respectively. When prediction equations were used to evaluate DXA measurements of the half-carcasses of 28 gilts and 37 boars slaughtered at approximately 120 kg, the half-carcasses of gilts contained more fat (33.9 vs 27.8%, P < .001), less protein (14.1 vs 16.1%, P < .001), and less water (45.9 vs 52.1%, P < .001) than those of boars. These results indicate that DXA could be a valuable research tool for measuring the composition of pig carcasses. On the basis of the results of this study, prediction equations were revised for the DXA estimation of fat, protein, and water content of the half-carcass: Fat (%) = 450 - (315 x DXA R value), Protein (g) = -145 + (.23 x DXA lean), and Water (g) = 150 + (.73 x DXA lean). Furthermore, it seems that separate prediction equations are needed for regional analysis.

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Year:  1998        PMID: 9734860     DOI: 10.2527/1998.7682104x

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


  4 in total

1.  Association between bone mineral density, lean mass, and fat mass among healthy middle-aged premenopausal women: a cross-sectional study in southern Sri Lanka.

Authors:  Sarath Lekamwasam; Thilak Weerarathna; Mahinda Rodrigo; Wasantha Kodikara Arachchi; Duminda Munidasa
Journal:  J Bone Miner Metab       Date:  2008-12-12       Impact factor: 2.626

2.  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

3.  An f2 pig resource population as a model for genetic studies of obesity and obesity-related diseases in humans: design and genetic parameters.

Authors:  Lisette J A Kogelman; Haja N Kadarmideen; Thomas Mark; Peter Karlskov-Mortensen; Camilla S Bruun; Susanna Cirera; Mette J Jacobsen; Claus B Jørgensen; Merete Fredholm
Journal:  Front Genet       Date:  2013-03-18       Impact factor: 4.599

4.  Investigating the potential for genetic improvement of nitrogen and phosphorus efficiency in a Swiss large white pig population using chemical analysis.

Authors:  Claudia Kasper; Isabel Ruiz-Ascacibar; Peter Stoll; Giuseppe Bee
Journal:  J Anim Breed Genet       Date:  2020-03-20       Impact factor: 2.380

  4 in total

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