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2024 Vol.51, Issue 2 Preview Page

Animal

1 June 2024. pp. 187-192
Abstract
References
1

Baulain U. 1997. Magnetic resonance imaging for the in vivo determination of body composition in animal science. Computers and Electronics in Agriculture 17:189-203.

10.1016/S0168-1699(96)01304-X
2

Baulain-Neustadt U, Wiese M, Tholen-Bonn E, Horeth-Kulmbach R, Hoppenbrock KH. 2004. Magnetic resonance tomography as a reference technique to determine body composition in pig performance testing. Fleischwirtschaft 84:101-104.

3

Collewet G, Bogner P, Allen P, Busk H, Dobrowolski A, Olsen E, Davenel A. 2005. Determination of the lean meat percentage of pig carcasses using magnetic resonance imaging. Meat Science 70:563-572.

10.1016/j.meatsci.2005.02.00522063881
4

Fowler PA, Fuller MF, Glasbey CA, Cameron GG, Foster MA. 1992. Validation of the in vivo measurement of adipose tissue by magnetic resonance imaging of lean and obese pigs. The American Journal of Clinical Nutrition 56:7-13.

10.1093/ajcn/56.1.71609764
5

Goodpaster BH. 2002. Measuring body fat distribution and content in humans. Current Opinion in Clinical Nutrition and Metabolic Care 5:481-487.

10.1097/00075197-200209000-0000512172470
6

Gronemeyer SA, Steen RG, Kauffman WM, Reddick WE, Glass JO. 2000. Fast adipose tissue (FAT) assessment by MRI. Magnetic Resonance Imaging 18:815-818.

10.1016/S0730-725X(00)00168-511027874
7

Hoa VB, Seol K, Seo H, Kang S, Kim Y, Seong P, Moon S, Kim J, Cho S. 2021. Investigation of physicochemical and sensory quality differences in pork belly and shoulder butt cuts with different quality grades. Food Science of Animal Resources 41:224-236.

10.5851/kosfa.2020.e9133987545PMC8115004
8

KAPE (Korea Institute for Animal Products Quality Evaluation). 2018. Article 35. Grading of livestock products in Livestock Industry Act. Accessed in http://www.ekape.or.kr/index.do on 22 May 2024.

9

Kim GW, Kim SE. 2009. Analysis of the domestic consumer's preference and consumption behaviors on pork. Journal of Animal Science and Technology 51:81-90.

10.5187/JAST.2009.51.1.081
10

Kim H. 2015. Shape and characteristics of Korean's favorit pork belly. Food Science of Animal Resources and Industry 4:30-44.

11

Kim J, Han HD, Lee WY, Wakholi C, Lee J, Jeong YB, Bae JH, Cho BK. 2021. Economic analysis of the use of VCS2000 for pork carcass meat yield grading in Korea. Animals 11:1-16.

10.3390/ani1105129733946499PMC8147211
12

Kloareg M, Noblet J, Van Milgen J. 2006. Estimation of whole body lipid mass in finishing pigs. Animal Science 82:241-251.

10.1079/ASC200529
13

Kremer PV, Förster M, Scholz AM. 2013. Use of magnetic resonance imaging to predict the body composition of pigs in vivo. Animal 7:879-884.

10.1017/S175173111200234023228200
14

Lim D. 2018. Effect of Carcass weight and thickness of back fat on the ratio of Intramuscular Fat in Pork Belly and Shoulder Butt. Food Science of Animal Resources and Industry 7:74-83.

15

Mitchell AD, Elsasser TH, Wang PC. 1991. Determination of fat and water content in vitro and in vivo by proton nuclear magnetic resonance. Journal of the Science of Food and Agriculture 56:265-276.

10.1002/jsfa.2740560303
16

Mitchell AD, Scholz AM, Wang PC, Song H. 2001. Body composition analysis of the pig by magnetic resonance imaging. Journal of Animal Science 79:1800-1813.

10.2527/2001.7971800x11465367
17

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 72:146-154.

10.1016/j.meatsci.2005.06.01822061385
18

Monziols M, Collewet G, Mariette F, Kouba M, Davenel A. 2005. Muscle and fat quantification in MRI gradient echo images using a partial volume detection method. Application to the characterization of pig belly tissue. Magnetic Resonance Imaging 23:745-755.

10.1016/j.mri.2005.05.00116198830
19

Rosenvold K, Andersen HJ. 2003. Factors of significance for pork quality-a review. Meat Science 64:219-237.

10.1016/S0309-1740(02)00186-922063008
20

Ross R, Goodpaster B, Kelley D, Boada F. 2000. Magnetic resonance imaging in human body composition research. From quantitative to qualitative tissue measurement. Annals of the New York Academy of Sciences 904:12-17.

10.1111/j.1749-6632.2000.tb06415.x10865704
21

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 60:1-11.

10.1016/S0301-6226(99)00050-0
22

Williams SE, Heemskerk AM, Welch EB, Li K, Damon BM, Park JH. 2013. Quantitative effects of inclusion of fat on muscle diffusion tensor MRI measurements. Journal of Magnetic Resonance Imaging 38:1292-1297.

10.1002/jmri.2404523418124PMC3664247
Information
  • Publisher :Institute of Agricultural Science, Chungnam National University
  • Publisher(Ko) :충남대학교 농업과학연구소
  • Journal Title :Korean Journal of Agricultural Science
  • Journal Title(Ko) :농업과학연구
  • Volume : 51
  • No :2
  • Pages :187-192
  • Received Date : 2024-03-29
  • Revised Date : 2024-05-03
  • Accepted Date : 2024-05-16