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ARS Home » Northeast Area » Beltsville, Maryland (BHNRC) » Beltsville Human Nutrition Research Center » Nutrient Data Laboratory » Research » Publications at this Location » Publication #292811

Title: Nutrient Database improvement project: Separable components and proximate composition of retail cuts from the beef chuck

Author
item WEST, SARAH - Texas A&M University
item HARRIS, KERRI - Texas A&M University
item HANEKLAUS, ASHLEY - Texas A&M University
item SAVELL, JEFFREY - Texas A&M University
item THOMPSON, LESLIE - Texas Tech University
item BROOKS, J - Texas Tech University
item POOL, JENNA - Texas Tech University
item LUNA, ANA - Texas Tech University
item ENGLE, TERRY - Colorado State University
item SCHUTZ, JENNIFER - Colorado State University
item WOERNER, DALE - Colorado State University
item ARCIBEQUE, SHAWN - Colorado State University
item BELK, KEITH - Colorado State University
item DOUGLASS, LARRY - Consultant
item HOWE, JULIETTE - Consultant
item LEHESKA, JENNIFER - Consultant
item MCNEILL, SHALENE - National Cattlemen'S Beef Association (NCBA)
item HOLDEN, JOANNE - Consultant
item DUVALL, MARYBETH - Retired ARS Employee
item PATTERSON, KRISTINE - Consultant

Submitted to: Meat Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/30/2014
Publication Date: 8/20/2014
Publication URL: http://www.elsevier.com/locate/meatsci
Citation: West, S.E., Harris, K.B., Haneklaus, A.N., Savell, J.W., Thompson, L.D., Brooks, J.C., Pool, J.K., Luna, A.M., Engle, T.E., Schutz, J.S., Woerner, D.E., Arcibeque, S.L., Belk, K.E., Douglass, L.W., Howe, J.C., Leheska, J.M., Mcneill, S., Holden, J., Duvall, M., Patterson, K.Y. 2014. Nutrient Database improvement project: Separable components and proximate composition of retail cuts from the beef chuck. Meat Science. 97(2014):558-567.

Interpretive Summary: The United States Department of Agriculture (USDA) Nutrient Data Laboratory’s (NDL) National Nutrient Database for Standard Reference (SR) is the major source of food composition in the United States and internationally. SR provides data for national nutrition policies, diet therapy, nutrition education programs, as well as for menu calculations and on-pack labeling of nutrient claims. The Nutrient Database Improvement Project was initiated to obtain up-to-date nutrient data reflecting today’s market retail cuts so that the most current and accurate beef nutrient data could be available in SR. To represent the current United States beef supply, seventy-two carcasses were selected from six regions of the country based on yield grade, quality grade, gender and genetic type. Whole beef chuck primals from selected carcasses were shipped to three university laboratories for retail cut fabrication. Cut dissection and proximate analyses were conducted. Nutrient data for raw and cooked chuck retail cuts were disseminated in SR. The findings documented in this study provide relevant current nutrient data on beef composition, cooking yields, and separable components of retail beef chuck cuts. These data provide support for the current production of lean healthful beef products, allow enhanced dietary education of consumers, and improve the accuracy of product labeling.

Technical Abstract: This study was designed to provide updated information on the separable components, cooking yields, and nutrient values of retail cuts from the beef chuck. Ultimately, these data will be used in the United States Department of Agriculture (USDA) Nutrient Data Laboratory’s (NDL) National Nutrient Database for Standard Reference (SR). To represent the current United States beef supply, seventy-two carcasses were selected from six regions of the country based on yield grade, quality grade, gender and genetic type. Whole beef chuck primals from selected carcasses were shipped in combos to three university laboratories for subsequent retail cut fabrication, raw and cooked cut dissection, and proximate analyses. The incorporation of these data into the SR improve dietary education, product labeling, and other applications both domestically and abroad, thus emphasizing the importance of accurate and relevant beef nutrient data.