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To what extent is a breed-specific database necessary to differentiate meat from pasture-fed and stall-fed lambs using visible spectroscopy?

Published online by Cambridge University Press:  22 December 2017

S. Prache ,
Y. Huang  and
D. Andueza
S. Prache*
Affiliation:
INRA, VetAgro Sup, UMR Herbivores, Université d’Auvergne, F-63122 Saint-Genès-Champanelle, France
Y. Huang
Affiliation:
INRA, VetAgro Sup, UMR Herbivores, Université d’Auvergne, F-63122 Saint-Genès-Champanelle, France
D. Andueza
Affiliation:
INRA, VetAgro Sup, UMR Herbivores, Université d’Auvergne, F-63122 Saint-Genès-Champanelle, France
*
†E-mail: sophie.prache@inra.fr
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Abstract

Carotenoid pigments signature in the fat using visible reflectance spectroscopy has shown high potential for distinguishing pasture-fed (P) from stall concentrate-fed (S) lamb carcasses. However, a recent study demonstrated a between-breed variability in the digestive and metabolic fate of carotenoids pigments. The present study was therefore designed to investigate the extent to which this between-breed variability may affect the reliability of diet authentication using visible spectroscopy of the fat. We used 1054 male lambs from three breeds (Romane (ROM), Ile-de-France (OIF) and Limousine (LIM)). The breed-feed breakdown was 148 P and 258 S ROM, 102 P and 92 S OIF and 168 P and 286 S LIM lambs. The reflectance spectrum of perirenal fat was measured at 24 h postmortem at wavelengths between 400 and 700 nm. We quantified light absorption in the 450 to 510 nm area by calculating a traceability index (AVMI450 to 510) considered as an indicator of the carotenoid concentration in the fat (method 1) and we performed a multivariate analysis over the full set of reflectance data between 400 and 700 nm (method 2). The reliability of method 1 proved very variable across breeds, with a percentage of correctly classified lambs reaching 95.3%, 90.5% and 79.4% in ROM, LIM and OIF lambs, respectively. Despite these between-breeds differences, the threshold of the linear discriminant analysis performed on AVMI450 to 510 was fairly similar between breeds; when all the data for the three breeds were pooled, the threshold cut-off value was 224 units and the method correctly classified 90.2% of the 1054 lambs. Using the full range of reflectance data (method 2) enabled to significantly increase the proportion of correctly classified lambs for both OIF and LIM breeds, but not for ROM breed. It enabled to correctly classify 96.1%, 94.5% and 94.8% of the ROM, LIM and OIF lambs. The reliability of the discrimination was not significantly different when pooling all lambs for the three breeds than when using a breed-specific database (93.9% and 95.2%, respectively).

Keywords

authenticationcarotenoid pigmentspasture-feedingsheepspectroscopy
Type
Research Article
Information
animal , Volume 12 , Issue 8 , August 2018 , pp. 1682 - 1689
Copyright
© The Animal Consortium 2017 

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References

Aurousseau, B, Bauchart, D, Calichon, E, Micol, D and Priolo, A 2004. Effect of grass or concentrate feeding systems and rate of growth on triglyceride and phospholipid and their fatty acids in the M. longissimus thoracis of lambs. Meat Science 66, 531–541.Google Scholar
Dian, PHM, Andueza, D, Barbosa, CMP, Amoureux, S, Jestin, M, Carvaho, PCF, Prado, IN and Prache, S 2007a. Methodological developments in the use of visible reflectance spectroscopy for discriminating pasture-fed from concentrate-fed lamb carcasses. Animal 1, 1198–1208.Google Scholar
Dian, PHM, Chauveau-Duriot, B, Prado, IN and Prache, S 2007b. A dose-response study relating the concentration of carotenoid pigments in blood and reflectance spectrum characteristics of fat to carotenoid intake level in sheep. Journal of Animal Science 85, 3054–3061.CrossRefGoogle ScholarPubMed
de Oliveira, L, Carvalho, PCF and Prache, S 2012. Fat spectro-colorimetric characteristics of lambs switched from a low to a high dietary carotenoid level. Meat Science 92, 644–650.CrossRefGoogle ScholarPubMed
Fisher, AV and de Boer, H 1994. The EAAP standard method of sheep carcass assessment. Carcass measurement and dissection procedures report of the EAAP working group on carcass evaluation, in cooperation with the CIHEAM Instituto Agronomico Mediterraneo of Zaragoza and the CEC Directorate General for Agriculture in Brussels. Livestock Production Science 38, 149–159.Google Scholar
Hocquette, JF, Botreau, R, Picard, B, Jacquet, A, Pethick, DW and Scollan, ND 2012. Opportunities for predicting and manipulating beef quality. Meat Science 92, 197–209.Google Scholar
Huang, Y, Andueza, D, Oliveira, L, Zawadzki, F and Prache, S 2015a. Visible spectroscopy on carcass fat combined with chemometrics to distinguish pasture-fed, concentrate-fed and concentrate-finished pasture-fed lambs. Meat Science 101, 5–12.Google Scholar
Huang, Y, Andueza, D, Oliveira, L, Zawadzki, F and Prache, S 2015b. Comparison of visible and near infrared reflectance spectroscopy on fat to authenticate dietary history of lambs. Animal 9, 1912–1920.Google Scholar
Irie, M 2001. Optical evaluation of factors affecting appearance of bovine fat. Meat Science 57, 19–22.Google Scholar
Macari, S, Graulet, B, Andueza, D and Prache, S 2017. Nitrogen stable isotope and carotenoid pigments signatures in the meat as tools to trace back the diet: comparison between two sheep breeds. Small Ruminant Research 153, 107–113.CrossRefGoogle Scholar
Prache, S 2007. Developing a diet authentication system from the composition of milk and meat in sheep: a review. Journal of Agricultural Science 145, 435–444.Google Scholar
Prache, S, Aurousseau, B, Thériez, M and Renerre, M 1990. Les défauts de couleur du tissu adipeux sous-cutané des carcasses d’ovins. INRA Productions Animales 3, 275–285.Google Scholar
Prache, S, Priolo, A and Grolier, P 2003. Effect of concentrate finishing on the carotenoid content of perirenal fat in grazing sheep: its significance for discriminating grass-fed, concentrate-fed and concentrate-finished grazing lambs. Animal Science 77, 225–233.Google Scholar
Prache, S and Theriez, M 1999. Traceability of lamb production systems: carotenoids in plasma and adipose tissue. Animal Science 69, 29–36.CrossRefGoogle Scholar
Russel, AJF, Doney, JM and Gunn, RG 1969. Subjective assessment of body fat in live sheep. Journal of Agricultural Science 72, 451–454.Google Scholar
Sheath, GW, Coulon, JB and Young, OA. 2001. Grassland management and animal product quality. In Proceedings of the 19th International Grassland Congress, 11–21 February 2001, São Pedro, São Paulo, Brazil, pp. 1019–1025.Google Scholar
Statistical Analysis Systems Institute 1999. SAS/STAT user’s guide, version 8. SAS Institute Inc, Cary, NC, USA.Google Scholar
Swatland, HJ 1989. Carotene reflectance and the yellowness of bovine adipose tissue measured with a portable fibre-optic spectrophotometer. Journal of the Science of Food and Agriculture 46, 195–200.Google Scholar
Zawadzki, F, Prado, IN and Prache, S 2013. Influence of level of barley supplementation on plasma carotenoid content and fat spectrocolorimetric characteristics in lambs fed a carotenoid-rich diet. Meat Science 94, 297–303.Google Scholar