Performance of near-infrared spectroscopy in pork shoulder as a predictor for pork belly softness

被引:4
作者
Lam, S. [1 ]
Soladoye, O. P. [2 ]
Prieto, N. [1 ]
Uttaro, B. [1 ]
Aalhus, J. L. [1 ]
Larsen, I [1 ]
Shand, P. [3 ]
Gariepy, C. [4 ]
Juarez, M. [1 ]
机构
[1] Agr & Agri Food Canada, Lacombe, AB T4L 1W1, Canada
[2] Alberta Minist Agr & Forestry, Leduc, AB T9E 7C5, Canada
[3] Univ Saskatchewan, Saskatoon, SK S7N 5A8, Canada
[4] Agr & Agri Food Canada, St Hyacinthe, PQ J2S 8E3, Canada
关键词
belly flop; near-infrared spectroscopy; pork belly; shoulder; softness;
D O I
10.1139/cjas-2020-0049
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Pork belly quality indicators are economically relevant in the pork industry. Near-infrared (NIR) spectroscopy of the pork shoulder outer subcutaneous fat layer, belly flop angle, and subjective softness scores of the pork belly were measured (N = 144) to determine the accuracy of pork shoulder NIR spectroscopy as a predictor of pork belly softness. The NIR spectra hot carcass estimates explained over 80.0% variability in pork belly softness (80.5%-90.8%), with low prediction error, suggesting that NIR spectroscopy measured in the pork shoulder is an efficient and accurate indicator of pork belly softness to classify pork bellies for specific market demands.
引用
收藏
页码:386 / 389
页数:4
相关论文
共 13 条
[1]   Pork loin quality is not indicative of fresh belly or fresh and cured ham quality [J].
Arkfeld, E. K. ;
Wilson, K. B. ;
Overholt, M. F. ;
Harsh, B. N. ;
Lowell, J. E. ;
Hogan, E. K. ;
Klehm, B. J. ;
Bohrer, B. M. ;
Mohrhauser, D. A. ;
King, D. A. ;
Wheeler, T. L. ;
Dilger, A. C. ;
Shackelford, S. D. ;
Boler, D. D. .
JOURNAL OF ANIMAL SCIENCE, 2016, 94 (12) :5155-5167
[2]  
Canada Pork International, 2020, CAN PORK BUY GUID
[3]  
Juarez M., 2012, Handbook of meat and meat processing, V2nd, P178
[4]   Non-Destructive Spectroscopic Techniques and Multivariate Analysis for Assessment of Fat Quality in Pork and Pork Products: A Review [J].
Kucha, Christopher T. ;
Liu, Li ;
Ngadi, Michael O. .
SENSORS, 2018, 18 (02)
[5]   Comparison of the lipid content and fatty acid composition of intermuscular and subcutaneous adipose tissues in pig carcasses [J].
Monziois, M. ;
Bonneau, M. ;
Davenel, A. ;
Kouba, M. .
MEAT SCIENCE, 2007, 76 (01) :54-60
[6]   Equations generated to predict iodine value of pork carcass back, belly, and jowl fat [J].
Paulk, C. B. ;
Bergstrom, J. R. ;
Tokach, M. D. ;
Dritz, S. S. ;
Burnett, D. D. ;
Stephenson, E. W. ;
Vaughn, M. A. ;
DeRouchey, J. M. ;
Goodband, R. D. ;
Nelssen, J. L. ;
Gonzalez, J. M. .
JOURNAL OF ANIMAL SCIENCE, 2015, 93 (04) :1666-1678
[7]   Using portable near-infrared spectroscopy to predict pig subcutaneous fat composition and iodine value [J].
Prieto, N. ;
Dugan, M. E. R. ;
Juarez, M. ;
Lopez-Campos, O. ;
Zijlstra, R. T. ;
Aalhus, J. L. .
CANADIAN JOURNAL OF ANIMAL SCIENCE, 2018, 98 (02) :221-229
[8]   A Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and Meat Products [J].
Prieto, Nuria ;
Pawluczyk, Olga ;
Dugan, Michael Edward Russell ;
Aalhus, Jennifer Lynn .
APPLIED SPECTROSCOPY, 2017, 71 (07) :1403-1426
[9]  
Soladoye, 2017, THESIS U SASKATCHEWA
[10]   Potential of near infrared (NIR) spectroscopy and dual energy X-ray absorptiometry (DXA) in predicting pork belly softness [J].
Soladoye, O. P. ;
Prieto, N. ;
Lopez-Campos, O. ;
Aalhus, J. L. ;
Uttaro, B. ;
Roberts, J. C. ;
Larsen, I ;
Shand, P. ;
Gariepy, C. ;
Juarez, M. .
MEAT SCIENCE, 2018, 142 :1-4