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J D Tatum

Showing results (51-60 of 105) with videos related to

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Journal of Animal Science|November 24, 1999
Dual-component video image analysis system (VIASCAN) as a predictor of beef carcass red meat yield percentage and for augmenting application of USDA yield gradesR C Cannell, J D Tatum, K E Belk, et al.
Journal of Animal Science|October 23, 1997
Vitamin E supplementation of cattle and shelf-life of beef for the Japanese marketS K Sanders, J B Morgan, D M Wulf, et al.
Journal of Animal Science|March 18, 2008
Recovering value from beef carcasses classified as dark cutters by United States Department of Agriculture gradersP D Bass, J A Scanga, P L Chapman, et al.
Journal of Animal Science|March 9, 2005
Effects of marbling and shear force on consumers' willingness to pay for beef strip loin steaksW J Platter, J D Tatum, K E Belk, et al.
Journal of Animal Science|December 22, 2009
Effect of dietary supplemental vitamin A concentration on performance, carcass merit, serum metabolites, and lipogenic enzyme activity in yearling beef steersT C Bryant, J J Wagner, J D Tatum, et al.
Journal of Animal Science|November 10, 2009
Relationships of behavioral and physiological symptoms of preslaughter stress to beef longissimus muscle tendernessS L Gruber, J D Tatum, T E Engle, et al.
Meat Science|April 27, 2010
Using reflectance spectroscopy to predict beef tendernessM B Bowling, D J Vote, K E Belk, et al.
Journal of Animal Science|August 18, 2004
Development and validation of equations utilizing lamb vision system output to predict lamb carcass fabrication yieldsB C N Cunha, K E Belk, J A Scanga, et al.
Journal of Animal Science|August 21, 2003
Accuracy and repeatability of beef carcass longissimus muscle area measurementsR Steiner, D J Vote, K E Belk, et al.
Journal of Animal Science|May 22, 2002
Online evaluation of a commercial video image analysis system (Computer Vision System) to predict beef carcass red meat yield and for augmenting the assignment of USDA yield grades. United States Department of AgricultureR C Cannell, K E Belk, J D Tatum, et al.
Pageof 11

Showing results (51-60 of 105) with videos related to

Sort By:
Pageof 11
Journal of Animal Science|November 24, 1999
Dual-component video image analysis system (VIASCAN) as a predictor of beef carcass red meat yield percentage and for augmenting application of USDA yield gradesR C Cannell, J D Tatum, K E Belk, et al.
Journal of Animal Science|October 23, 1997
Vitamin E supplementation of cattle and shelf-life of beef for the Japanese marketS K Sanders, J B Morgan, D M Wulf, et al.
Journal of Animal Science|March 18, 2008
Recovering value from beef carcasses classified as dark cutters by United States Department of Agriculture gradersP D Bass, J A Scanga, P L Chapman, et al.
Journal of Animal Science|March 9, 2005
Effects of marbling and shear force on consumers' willingness to pay for beef strip loin steaksW J Platter, J D Tatum, K E Belk, et al.
Journal of Animal Science|December 22, 2009
Effect of dietary supplemental vitamin A concentration on performance, carcass merit, serum metabolites, and lipogenic enzyme activity in yearling beef steersT C Bryant, J J Wagner, J D Tatum, et al.
Journal of Animal Science|November 10, 2009
Relationships of behavioral and physiological symptoms of preslaughter stress to beef longissimus muscle tendernessS L Gruber, J D Tatum, T E Engle, et al.
Meat Science|April 27, 2010
Using reflectance spectroscopy to predict beef tendernessM B Bowling, D J Vote, K E Belk, et al.
Journal of Animal Science|August 18, 2004
Development and validation of equations utilizing lamb vision system output to predict lamb carcass fabrication yieldsB C N Cunha, K E Belk, J A Scanga, et al.
Journal of Animal Science|August 21, 2003
Accuracy and repeatability of beef carcass longissimus muscle area measurementsR Steiner, D J Vote, K E Belk, et al.
Journal of Animal Science|May 22, 2002
Online evaluation of a commercial video image analysis system (Computer Vision System) to predict beef carcass red meat yield and for augmenting the assignment of USDA yield grades. United States Department of AgricultureR C Cannell, K E Belk, J D Tatum, et al.
Pageof 11