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Estimating Component Values - Beef

 Updated 2017-03-16

 Estimating Component Values of Beef


Quite a few investigations have been carried out on nutrients in beef and veal. There is therefore a solid basis to reveal eventual relationships between the proximates, vitamins and/or minerals in beef and veal cuts. Here some of the relationships between fat or moisture against vitamin and mineral content are given.

USDA - The Ground Beef Calculator

The currently most visible application of regression analysis of food data is the USDA Ground Beef Calculator .
Reverse engineering of the USDA Ground Beef Calculator's information in USDA regression analysis for beef data reveals the linear dependencies.

Danish Beef Data

To be continued.


  • Hjarde W., Laier G., Søndergaard H., Sørensen A., Christensen B., Mortensen A. B., Kousgaard M. (1981):
    Næringsværdien af okse- og kalvekød.
    Husholdningsrådets Tekniske Meddelelser, nr. 4, 19-32, 1981.
  • Reykdal Ó., Sigurðsson, Á. Ó., Þorkelsson G. (1986):
    Efnagreiningar á kjöti 1984-86.
    Fjölrit Rala 120.
    Rannsóknastofnun landbunaðarins, Október 1986.
  • Hansen K. S., Leth T. (1989):
    Overvågningssystem for næringssstoffer - Kød [Monitoring System for Nutrients - Meat].
    Publikation nr. 153.
    National Food Agency of Denmark, 1989.
  • Lee S. M., Buss D. H., Holcombe G. D., Hatton D. (1995):
    Nutrient content of retail cuts of beef, pork and lamb - preliminary results.
    Journal of Human Nutrition and Dietetics, 8, 75-80, 1995.    
  • Okholm-Hansen B., Knuthsen P. (1996):
    Næringsstofindhold i hakket kød [Nutrients in minced meat].
    Rapport IL 1996.2 - projektnr. 94641-01.
    National Food Agency of Denmark, December 1996.
  • Hansen, K. and Knuthsen, P. (1999).
    Overvågningssystem for næringsstoffer - Kød, 3. runde [Monitoring System for Nurtients - Meat, Third Cycle].
    Danish Veterinary and Food Administration, FødevareRapport 1999:10.
  • Wahrmund-Wyle J. L., Harris K. B., Savell J. W. (2000):
    Beef Retail Cut Composition: 2. Proximate Analysis.
    Journal of Food Composition and Analysis, 13, 243-251, 2000.
  • Leth T., Knuthsen, P., and Larsen, E.H. (2001).
    Nutrients. Monitoring System for Foods, 1993-1997 - Part 1.
    Danish Veterinary and Food Administration, FødevareRapport 2001:17.
  • Howe J. C., Trainer D., Holden J. M. and Douglass L. A. (2007):
    Fat content of ground beef: comparison of actual (analytical) to label claim.
    Experimental Biology 2007. April 28- May 2, 2007. Washington D.C.
  • United States Department of Agriculture - Agricultural Research Service:
    Ground Beef Calculator. (accessed 2014-02-24).
  • Patterson K. Y., Duvall M. L., Bhagwat S., Howe J. C., Holden J. M. (2011):
    USDA Nutrient Data Set for Retail Beef Cuts Release 2.0.
    Nutrient Data Laboratory (NDL), Agricultural Research Service, U.S. Department of Agriculture, September 2011. 
  • Kehlet U., Darré M.T., Jensen K., Madsen N.T. and Kristensen L. (2012):
    Nutritional composition of Danish Beef.
    58th International Congress of Meat Science and Technology, 12-17th August 2012, Montreal, Canada.
  • Roseland J., Nguyen Q. V., Williams J. R., Patterson K. Y. (2013):
    USDA Nutrient Data Set for Retail Beef Cuts Release 3.0.
    Nutrient Data Laboratory (NDL), Agricultural Research Service, U.S. Department of Agriculture, September 2013.


UK Composition of Foods online

Food Databanks National Capability extended dataset based on PHE’s McCance and Widdowson’s Composition of Foods Integrated Dataset.
Composition of foods integrated dataset (CoFID) 2019

McCance and Widdowson’s 'composition of foods integrated dataset' on the nutrient content of the UK food supply. Available from Public Health England's website.
OCEANIAFOODS - Smarter Data 2019

SMARTER DATA 2019: Food Composition Information in this Digital Age takes place 3 - 4 September 2019 at Rydges Hotel, Auckland, New Zealand.
For more information, see the conference website.
IFDC 2019 in Lisbon 14-18 October 2019

The 13th International Food Data Conference (IFDC 2019) will take place in Lisbon, Portugal, between the 14th and 18th of October 2019. For more information, see the conference website.