Evaluation of feedlot performance, carcass characteristics, carcass retail cut distribution, Warner-Bratzler shear force, and fatty acid composition of crossbred Jersey steers and heifers

Jaborek, Jerad R; Zerby, H. N.; Moeller, S. J.; Fluharty, F. L.; Relling, Alejandro E

doi:10.15232/aas.2019-01895

Cited by 8 publications

(27 citation statements)

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“…As reported by Jaborek et al (2019a , 2019b ), carcass fat deposition can vary by breed, with Jersey cattle having a greater percentage of kidney fat and a lesser BFT compared with Angus cattle, for example. The USDA YG equation considers subcutaneous and kidney fat measurements for the prediction of YG.…”

Section: Resultsmentioning

confidence: 70%

“…The USDA YG and BCTRC equations predict or calculate the Jersey-influenced cattle used in the present study to receive a USDA YG ranging from 2.8 to 5.3 (

= 4.0) and produce carcasses ranging from 44.5% to 50.3% BCTRC (

= 47.6%). However, after fabricating these beef carcasses into BCTRC as mentioned by Jaborek et al (2019a , 2019b ), the actual percentage of BCTRC was much lower than the calculated percentage of BCTRC determined by the USDA equation as shown in the lower-left corner of Fig. 1 created (actual BCTRC vs. calculated YG; white circles).…”

Section: Resultsmentioning

confidence: 86%

“…However, the estimation of KPH fat percentage introduces subjectivity and error into the estimation of carcass retail yield. In the studies conducted by Jaborek et al (2019a , 2019b ), KPH percentage was estimated and kidney fat was objectively weighed to control for human error. An experienced carcass grader estimated a mean KPH fat percentage of 2.24% (SD = 0.469) for the Jersey-influenced cattle used in the present study.…”

Section: Resultsmentioning

confidence: 99%

“…Details regarding the animals used in this technical note have been reported previously by Jaborek et al (2019a , 2019b ). Briefly, purebred Jersey steers and crossbred Jersey steers and heifers were raised over the course of 2 yr at the Ohio Agricultural Research and Development Center feedlot (Wooster, OH) where animals consumed similar feedlot diets.…”

Section: Methodsmentioning

confidence: 99%

“…The goal of this technical note is to discuss the opportunities of adopting precision agriculture technologies to improve upon the accuracy and efficacy of the USDA YG equation and grading system. As an example of this opportunity, a recent study conducted by Jaborek et al (2019a , 2019b ) will be used to demonstrate the inability of the USDA YG equation to predict beef carcass yield with the use of Jersey-influenced cattle.…”

Section: Introductionmentioning

confidence: 99%

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Opportunities to improve the accuracy of the United States Department of Agriculture beef yield grade equation through precision agriculture1

Jaborek

Relling

Fluharty

et al. 2020

Translational Animal Science

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The U.S. Department of Agriculture (USDA) yield grade (YG) equation is used to predict the retail yield of beef carcasses, which facilitates a more accurate payment for cattle when they are sold on a grid pricing system that considers carcass composition instead of body weight alone. The current USDA YG equation was developed over 50 yr ago. Arguably, the population of cattle used to develop the YG equation is different than the current diverse U.S. beef cattle supply today. The objectives of this manuscript are to promote the adoption and use of precision agriculture technologies (i.e., camera grading and electronic animal identification) throughout the U.S. beef supply chain as a means to enhance the ability of the USDA YG equation to more accurately predict the retail yield across the population of cattle that contributes to the current U.S. beef supply. Camera grading has improved the accuracy of determining beef carcass retail yield; however, the use of electronic animal identification would allow for additional information to be passed back and forth between the packer, cattle feeder, and producer. Information, such as sex, genetics, medical treatment history, diets consumed, and growth promotant administration, as well as other information could be used to create additional variables for a new augmented USDA YG equation. Herein, fabrication yields demonstrated a 5.6 USDA YG and 12.8% boneless closely trimmed retail cut difference between actual cutout measurements and calculated values from the USDA YG equation for Jersey-influenced cattle. Evidence of such disparities between calculated and actual values warrants a reevaluation of the USDA YG system and consideration for implementing advancements in precision agriculture to improve the prediction of beef carcass retail yield to more accurately account for the large amount of variation in beef carcass retail yield from the cattle in the United States.

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Section: Resultsmentioning

confidence: 70%

“…The USDA YG and BCTRC equations predict or calculate the Jersey-influenced cattle used in the present study to receive a USDA YG ranging from 2.8 to 5.3 (

= 4.0) and produce carcasses ranging from 44.5% to 50.3% BCTRC (

Section: Resultsmentioning

confidence: 86%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Opportunities to improve the accuracy of the United States Department of Agriculture beef yield grade equation through precision agriculture1

Jaborek

Relling

Fluharty

et al. 2020

Translational Animal Science

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Performance, carcass and meat quality of young bulls, steers and heifers slaughtered at a common body weight

Blanco¹,

Ripoll²,

Delavaud³

et al. 2020

Livestock Science

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Post-weaning management of modern dairy cattle genetics for beef production: a review

Jaborek

Carvalho

Felix

2023

Journal of Animal Science

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The contribution of dairy steers to the U.S. fed beef supply has increased from 6.9% to 16.3% over the last two decades; in part, due to declining beef cow numbers and the increased use of sexed dairy semen to produce genetically superior replacement heifers from the best dairy cows. Raising dairy cattle for beef production offers unique opportunities and challenges when compared with feeding cattle from beef breeds. Dairy steers offer predictable and uniform finishing cattle performance (ADG, DMI, G:F) as a group and more desirable quality grades on average compared with their beef steer counterparts. However, dairy steers have lesser dressing percentages and yield 2%–12% less red meat compared with beef steers due to a greater ratio of bone to muscle, internal fat, organ size, and gastrointestinal tract weight. In addition, carcasses from dairy steers can present problems in the beef packing industry, with Holstein carcasses being longer and Jersey carcasses being lighter weight than carcasses from beef breeds. Beef × dairy crossbreeding strategies are being implemented on some dairy farms to increase the income generated from dairy bull calves, while beef × dairy crossbreeding strategies can also improve the G:F and red meat yield of beef produced from the U.S. dairy herd. This alternative model of beef production from the dairy herd is not without its challenges and has resulted in variable results thus far. Successful adoption of beef × dairy crossbreeding in the cattle industry will depend on the proper selection of beef sires that excel in calving ease, growth, muscling, and marbling traits to complement the dairy genetics involved in beef production.

show abstract

Evaluation of feedlot performance, carcass characteristics, carcass retail cut distribution, Warner-Bratzler shear force, and fatty acid composition of crossbred Jersey steers and heifers

Cited by 8 publications

References 1 publication

Opportunities to improve the accuracy of the United States Department of Agriculture beef yield grade equation through precision agriculture1

Opportunities to improve the accuracy of the United States Department of Agriculture beef yield grade equation through precision agriculture1

Performance, carcass and meat quality of young bulls, steers and heifers slaughtered at a common body weight

Post-weaning management of modern dairy cattle genetics for beef production: a review

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