These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
226 related articles for article (PubMed ID: 16836128)
1. [The determination of beef tenderness using near-infrared spectroscopy]. Zhao JW; Zhai JM; Liu MH; Cai JR Guang Pu Xue Yu Guang Pu Fen Xi; 2006 Apr; 26(4):640-2. PubMed ID: 16836128 [TBL] [Abstract][Full Text] [Related]
2. Using the near-infrared system to sort various beef middle and end muscle cuts into tenderness categories. Price DM; Hilton GG; VanOverbeke DL; Morgan JB J Anim Sci; 2008 Feb; 86(2):413-8. PubMed ID: 17965325 [TBL] [Abstract][Full Text] [Related]
3. [The quantified analysis of fresh mutton tenderness using PLS methods and Fourier transform near-infrared spectroscopy]. Zhang DQ; Chen XN; Sun SQ; Li CH; Zhang BL; Li Y; Li SR; Li QP; Zhou HJ Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Nov; 28(11):2550-3. PubMed ID: 19271487 [TBL] [Abstract][Full Text] [Related]
4. Consumer responses for tenderness and overall impression can be predicted by visible and near-infrared spectroscopy, Meullenet-Owens razor shear, and Warner-Bratzler shear force. Yancey JW; Apple JK; Meullenet JF; Sawyer JT Meat Sci; 2010 Jul; 85(3):487-92. PubMed ID: 20416819 [TBL] [Abstract][Full Text] [Related]
6. Field testing of a system for online classification of beef carcasses for longissimus tenderness using visible and near-infrared reflectance spectroscopy. Shackelford SD; Wheeler TL; King DA; Koohmaraie M J Anim Sci; 2012 Mar; 90(3):978-88. PubMed ID: 22064739 [TBL] [Abstract][Full Text] [Related]
7. Technical note: validation of a model for online classification of US Select beef carcasses for longissimus tenderness using visible and near-infrared reflectance spectroscopy. Shackelford SD; Wheeler TL; Koohmaraie M J Anim Sci; 2012 Mar; 90(3):973-7. PubMed ID: 22064741 [TBL] [Abstract][Full Text] [Related]
8. The relevance of different near infrared technologies and sample treatments for predicting meat quality traits in commercial beef cuts. De Marchi M; Penasa M; Cecchinato A; Bittante G Meat Sci; 2013 Feb; 93(2):329-35. PubMed ID: 23098602 [TBL] [Abstract][Full Text] [Related]
10. Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging. Kamruzzaman M; Elmasry G; Sun DW; Allen P Food Chem; 2013 Nov; 141(1):389-96. PubMed ID: 23768372 [TBL] [Abstract][Full Text] [Related]
11. Validation of commercial DNA tests for quantitative beef quality traits. Van Eenennaam AL; Li J; Thallman RM; Quaas RL; Dikeman ME; Gill CA; Franke DE; Thomas MG J Anim Sci; 2007 Apr; 85(4):891-900. PubMed ID: 17178813 [TBL] [Abstract][Full Text] [Related]
12. Development of a system for classification of pork loins for tenderness using visible and near-infrared reflectance spectroscopy. Shackelford SD; King DA; Wheeler TL J Anim Sci; 2011 Nov; 89(11):3803-8. PubMed ID: 21680788 [TBL] [Abstract][Full Text] [Related]
13. Benchmarking carcass characteristics and muscles from commercially identified beef and dairy cull cow carcasses for Warner-Bratzler shear force and sensory attributes. Stelzleni AM; Patten LE; Johnson DD; Calkins CR; Gwartney BL J Anim Sci; 2007 Oct; 85(10):2631-8. PubMed ID: 17565055 [TBL] [Abstract][Full Text] [Related]
14. Relationship between beef consumer tenderness perception and Warner-Bratzler shear force. Destefanis G; Brugiapaglia A; Barge MT; Dal Molin E Meat Sci; 2008 Mar; 78(3):153-6. PubMed ID: 22062265 [TBL] [Abstract][Full Text] [Related]
15. Effects of postmortem aging and USDA quality grade on Warner-Bratzler shear force values of seventeen individual beef muscles. Gruber SL; Tatum JD; Scanga JA; Chapman PL; Smith GC; Belk KE J Anim Sci; 2006 Dec; 84(12):3387-96. PubMed ID: 17093232 [TBL] [Abstract][Full Text] [Related]
16. Comparison of the Biobullet versus traditional pharmaceutical injection techniques on injection-site tissue damage and tenderness in beef subprimals. Sullivan MM; Vanoverbeke DL; Kinman LA; Krehbiel CR; Hilton GG; Morgan JB J Anim Sci; 2009 Feb; 87(2):716-22. PubMed ID: 18849383 [TBL] [Abstract][Full Text] [Related]
17. Video image analysis as a potential grading system for Uruguayan beef carcasses. Vote DJ; Bowling MB; Cunha BC; Belk KE; Tatum JD; Montossi F; Smith GC J Anim Sci; 2009 Jul; 87(7):2376-90. PubMed ID: 19395512 [TBL] [Abstract][Full Text] [Related]