Hostname: page-component-cd9895bd7-lnqnp Total loading time: 0 Render date: 2024-12-27T13:28:53.515Z Has data issue: false hasContentIssue false

In vivo body composition in autochthonous and conventional pig breeding groups by dual-energy X-ray absorptiometry and magnetic resonance imaging under special consideration of Cerdo Ibérico

Published online by Cambridge University Press:  04 July 2012

P. V. Kremer*
Affiliation:
Livestock Center, Veterinary Faculty, University of Munich, St. Hubertusstr. 12, D-85764 Oberschleissheim, Germany
I. Fernández-Fígares
Affiliation:
Instituto de Nutrición Animal, Estación Experimental del Zaidín, CSIC, Armilla 18100 (Granada), Spain
M. Förster
Affiliation:
Livestock Center, Veterinary Faculty, University of Munich, St. Hubertusstr. 12, D-85764 Oberschleissheim, Germany Chair for Animal Breeding and Husbandry, University of Munich, Veterinärstr. 13, D-80539 München, Germany
A. M. Scholz
Affiliation:
Livestock Center, Veterinary Faculty, University of Munich, St. Hubertusstr. 12, D-85764 Oberschleissheim, Germany
Get access

Abstract

The improvement of carcass quality is one of the main breeding goals in pig production. To select appropriate breeding animals, it is of major concern to exactly and reliably analyze the body composition in vivo. Therefore, the objective of the study was to examine whether the combination of dual-energy X-ray absorptiometry (DXA) and magnetic resonance imaging (MRI) offers the opportunity to reliably analyze quantitative and qualitative body composition characteristics of different pig breeding groups in vivo. In this study, a total of 77 pigs were studied by DXA and MRI at an average age of 154 days. The pigs originated from different autochthonous or conventional breeds or crossbreeds and were grouped into six breed types: Cerdo Ibérico (Ib); Duroc × Ib (Du_Ib); White Sow Lines (WSL, including German Landrace and German Large White); Hampshire/Pietrain (Pi_Ha, including Hampshire, Pietrain × Hampshire (PiHa) and Pietrain × PiHa); Pietrain/Duroc (Pi_Du, including Pietrain × Duroc (PiDu) and Pietrain × PiDu); crossbred WSL (PiDu_WSL, including Pietrain × WSL and PiDu × WSL). A whole-body scan was performed by DXA with a GE Lunar DPX-IQ in order to measure the amount and percentage of fat tissue (FM; %FM), lean tissue (LM; %LM) and bone mineral, whereas a Siemens Magnetom Open with a large body coil was used for MRI in the thorax region between 13th and 14th vertebrae in order to measure the area of the loin (LA) and the above back fat area (FA) of both body sides. A GLM procedure using SAS 9.2 was used to analyze the data. As expected, the native breed Ib followed by Du_Ib crossbreeds showed the highest %FM (27.2%, 25.0%) combined with the smallest LA (46.2 cm2, 73.6 cm2), whereas Ib had the lowest BW at an average age of 154 days. Pigs with Pi_Ha origin presented the least %FM (12.4%) and largest LA (99.5 cm2). The WSL and PiDu_WSL showed an intermediate body composition. Therefore, it could be concluded that DXA and MRI and especially their combination are very suitable methods to reliably identify differences in body composition and carcass traits among different pig lines in vivo.

Type
Product quality, human health and well-being
Copyright
Copyright © The Animal Consortium 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Albanese, CV, Diessel, E, Genant, HK 2003. Clinical applications of body composition measurements using DXA. Journal of Clinical Densitometry 6, 7585.Google Scholar
Allen, P, Leymaster, KA 1985. Machine error in X-ray computer tomography and its relevance to prediction of in vivo body composition. Livestock Production Science 13, 383398.Google Scholar
B.O.E. 2001. Real Decreto 1083/2001, de 5 de Octubre, por el que se aprueba la Norma de Calidad para el jamón ibérico, paleta ibérica y caña de lomo ibérico elaborados en España.Google Scholar
Baulain, U 1997. Magnetic resonance imaging for the in vivo determination of body composition in animal science. Computers and Electronics in Agriculture 17, 189203.Google Scholar
Brenøe, UT, Kolstad, K 2000. Body composition and development measured repeatedly by computer tomography during growth in two types of turkeys. Poultry Science 79, 546552.Google Scholar
Carrapiso, AI, Bonilla, F, García, C 2003. Effect of crossbreeding and rearing system on sensory characteristics of Iberian ham. Meat Science 65, 623629.Google Scholar
Clemente, I, Membrillo, A, Azor, P, Dorado, G, Rodero, A, Molina, A 2006. Algunas consideraciones sobre las diferentes clasificaciones del tronco porcino ibérico: una propuesta integradora. Solo Cerdo Ibérico 16, 718.Google Scholar
Daza, A, Olivares, A, Rey, AI, Ruiz, J, López-Bote, CJ 2008. Iberian pig production: the problems of success. In Options Méditerranéennes, Series A, No. 78, http://ressources.ciheam.org/om/pdf/a78/00800259.pdf, pp. 163–171.Google Scholar
Dønnem, I, Eknæs, M, Randby, ÅT 2011. Energy status, measured by computer tomography (CT)-scanning, and milk quality of dairy goats fed rations with various energy concentrations. Livestock Science 142, 235244.Google Scholar
Fernández-Fígares, I, Lachica, M, Nieto, R, Rivera-Ferre, MG, Aguilera, JF 2007. Serum profile of metabolites and hormones in obese (Iberian) and lean (Landrace) growing gilts fed balanced or lysine deficient diets. Livestock Science 110, 7381.Google Scholar
Guo, YM, Ai, HS, Ren, J, Wang, GJ, Wen, Y, Mao, HR, Lan, LT, Ma, JW, Brenig, B, Rothschild, MF, Haley, CS, Huang, LS 2009. A whole genome scan for quantitative trait loci for leg weakness and its related traits in a large F2 intercross population between White Duroc and Erhualian. Journal of Animal Science 87, 15691575.Google Scholar
Jackson, PGG, Cockcroft, PD 2007. Diseases of the musculoskeletal system – osteomalacia and osteoporosis. In Handbook of pig medicine (ed. PGG Jackson and PD Cockcroft), pp. 4969. Saunders Elsevier, Philadelphia, USA.Google Scholar
Kolstad, K, Vangen, O 1996. Breed differences in maintenance requirements of growing pigs when accounting for changes in body composition. Livestock Production Science 47, 2332.Google Scholar
Kongsro, J, Røe, M, Aastveit, AH, Kvaal, K, Egelandsdal, B 2008. Virtual dissection of lamb carcasses using computer tomography (CT) and its correlation to manual dissection. Journal of Food Engineering 88, 8693.Google Scholar
Laenoi, W, Uddin, MJ, Cinar, MU, Große-Brinkhaus, C, Tesfaye, D, Jonas, E, Scholz, AM, Tholen, E, Looft, C, Wimmers, K, Phatsara, C, Juengst, H, Sauerwein, H, Mielenz, M, Schellander, K 2011. Quantitative trait loci analysis for leg weakness-related traits in a Duroc × Pietrain crossbred population. Genetics Selection Evolution 43, 13.Google Scholar
Lopez-Bote, CJ 1998. Sustained utilization of the Iberian pig breed. Meat Science 49, S17S27.Google Scholar
Lösel, D, Kremer, PV, Albrecht, E, Scholz, AM 2010. Comparison of a GE Lunar DPX-IQ and a Norland XR-26 dual energy X-ray absorptiometry scanner for body composition measurements in pigs – in vivo. Archives Animal Breeding 53, 162175.Google Scholar
Marcoux, M, Faucitano, L, Pomar, C 2005. The accuracy of predicting carcass composition of three different pig genetic lines by dual-energy X-ray absorptiometry. Meat Science 70, 655663.Google Scholar
Mitchell, AD, Conway, JM, Potts, WJ 1996. Body composition analysis of pigs by dual-energy X-ray absorptiometry. Journal of Animal Science 74, 26632671.Google Scholar
Mitchell, AD, Scholz, AM, Pursel, VG 2001a. Total body and regional measurements of bone mineral content and bone mineral density in pigs by dual energy X-ray absorptiometry. Journal of Animal Science 79, 25942604.Google Scholar
Mitchell, AD, Scholz, AM, Wange, PC, Song, H 2001b. Body composition analysis of the pig by magnetic resonance imaging. Journal of Animal Science 79, 18001813.Google Scholar
Monziols, M, Collewet, G, Bonneau, M, Mariette, F, Davenel, A, Kouba, M 2006. Quantification of muscle, subcutaneous fat and intermuscular fat in pig carcasses and cuts by magnetic resonance imaging. Meat Science 72, 146154.Google Scholar
Nieto, R, Miranda, A, García, MA, Aguilera, JF 2002. The effect of dietary protein content and feeding level on the rate of protein deposition and energy utilization in growing Iberian pigs from 15 to 50 kg body weight. British Journal of Nutrition 88, 3949.Google Scholar
Pietrobelli, A, Formica, C, Wang, Z, Heymsfield, SB 1996. Dual-energy X-ray absorptiometry body composition model: review of physical concepts. American Journal of Physiology – Endocrinology and Metabolism 271, E941E951.Google Scholar
Rueda Sabater, L, Diéguez Carbayo, E 2007. Manual del Cerdo Ibérico.Aceriber, Badajoz, Spain.Google Scholar
Scholz, AM 2002. In-vivo-Methoden zur Analyse von Muskelstoffwechsel und Körperzusammensetzung beim Schwein unter besonderer Berücksichtigung genetischer Einflüsse. Habilitation thesis, Ludwig-Maximilians-University.Google Scholar
Scholz, AM, Förster, M 2006. Accuracy of dual energy X-ray absorptiometry (DXA) for the determination of the body composition of pigs in vivo [Genauigkeit der Dualenergie-Röntgenabsorptiometrie (DXA) zur Ermittlung der Körper-zusammensetzung von Schweinen in vivo]. Archives Animal Breeding 49, 462476.Google Scholar
Scholz, AM, Baulain, U 2009. Methods of determination of body composition in living animals [Methoden zur Bestimmung der Körperzusammensetzung am lebenden Nutztier]. Zuechtungskunde 81, 8696.Google Scholar
Serra, X, Gil, F, Pérez-Enciso, M, Oliver, MA, Vázquez, JM, Gispert, M, Díaz, I, Moreno, F, Latorre, R, Noguera, JL 1998. A comparison of carcass, meat quality and histochemical characteristics of Iberian (Guadyerbas line) and Landrace pigs. Livestock Production Science 56, 215223.Google Scholar
Suster, D, Leury, BJ, Ostrowska, E, Butler, KL, Kerton, DJ, Wark, JD, Dunshea, FR 2003. Accuracy of dual energy X-ray absorptiometry (DXA), weight and P2 back fat to predict whole body and carcass composition in pigs within and across experiments. Livestock Production Science 84, 231242.Google Scholar
Szabo, C, Babinszky, L, Verstegen, MWA, Vangen, O, Jansman, AJM, Kanis, E 1999. The application of digital imaging techniques in the in vivo estimation of the body composition of pigs: a review. Livestock Production Science 60, 111.Google Scholar
Tejeda, JF, Gandemer, G, Antequera, T, Viau, M, GarcIa, C 2002. Lipid traits of muscles as related to genotype and fattening diet in Iberian pigs: total intramuscular lipids and triacylglycerols. Meat Science 60, 357363.Google Scholar
Tholen, E, Baulain, U, Henning, MD, Schellander, K 2003. Comparison of different methods to assess the composition of pig bellies in progeny testing. Journal of Animal Science 81, 11771184.Google Scholar