Texas A&M University, Department of Animal Science, College Station, TX 77843, United States.
Texas A&M University, Department of Animal Science, College Station, TX 77843, United States.
Meat Sci. 2014 Aug;97(4):558-67. doi: 10.1016/j.meatsci.2014.01.018. Epub 2014 Feb 8.
This study was designed to provide updated information on the separable components, cooking yields, and proximate composition of retail cuts from the beef chuck. Additionally, the impact the United States Department of Agriculture (USDA) Quality and Yield Grade may have on such factors was investigated. Ultimately, these data will be used in the 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 USDA Yield Grade, USDA Quality Grade, gender, and genetic type. Whole beef chuck primals from selected carcasses were shipped 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 will improve dietary education, product labeling, and other applications both domestically and abroad, thus emphasizing the importance of accurate and relevant beef nutrient data.
本研究旨在提供有关牛肉肩胛部位零售切块的可分离成分、烹饪产率和近似成分的最新信息。此外,还研究了美国农业部(USDA)质量和产量等级对这些因素的可能影响。最终,这些数据将用于 USDA - 营养数据实验室(NDL)的国家营养数据库标准参考(SR)。为了代表当前美国的牛肉供应,根据 USDA 产量等级、USDA 质量等级、性别和遗传类型,从全国六个地区选择了七十二个胴体。从选定胴体中取出的整块牛肉肩胛肉被运往三个大学实验室,用于随后的零售切块制作、生切和熟切解剖以及近似分析。将这些数据纳入 SR 将改善国内和国外的饮食教育、产品标签和其他应用,因此强调了准确和相关的牛肉营养数据的重要性。