The use of real-time ultrasound and live animal measurements to predict carcass composition in beef cattle

Greiner, Scott Patrick

doi:10.31274/rtd-180813-13265

Cited by 5 publications

(18 citation statements)

References 52 publications

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“…As a noninvasive substitute for the ruler probe ultrasonic equipment was used to measure fat thickness which is easy to obtain on the live animal. These measurement improve prediction capacity of ultrasounds of 12-13th rib fat and longissimus muscle area [13]. Ultrasound technicians measures on the frozen image digitally on a computer.…”

Section: Live Animal Carcass Evaluationmentioning

confidence: 86%

“…The real time ultrasound using sound display muscle and fat tissues under a live animal hide [7]. Live animal body composition can be determined some time before sending to slaughter houses, this is a very important tool for price determination early stage without slaughter [8]. Carcass evaluation is a very important stage for better beef production.…”

Section: Live Animal Carcass Evaluationmentioning

confidence: 99%

“…At these stage images are usually evaluated with specific software and reported to the users [12]. Greiner, S. P. [8] analyzed 7,044 Hanwoo steers using Ultrasound Measurements of Backfat Thicknes and marbling score to estimate genetic parameters. The measurement of 12th rib back fat, rump fat, marbling and rib eye area of live animals provide important data for carcass grading.…”

Section: Live Animal Carcass Evaluationmentioning

confidence: 99%

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Futuristic Applications for Profitable Beef Production Systems

Göncü¹,

Anitaş²,

Gökçe³

2017

JESE-A

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Abstract:The growing demands for red meats of people also present opportunities for fattening as well as improved markets for the animals. Beef production is a highly profitable venture with return of premium to the farmer. The large scale beef farming must be meet economic criteria for sustainable production. It consists of buying healthy stock, feeding and fattening them to optimum carcass weight, and selling them at any time of the year. They are handled in such a way that maximum growth is achieved at the lowest possible cost. The lifespan of operation is shorter and the return of investment is relatively higher. In beef farms which has very high genetic value of breeding animals cannot be get the expected performance without the use of technology and automation systems. Beef herd management programs if can be used as effectively, farming will have many advantages for consumer, farmer and also animals. However, to obtain these advantages from this system, required to have knowledge of the functions and effective use of the functions. The large amount of data in the obtained on many issues related to animals, herd management and an individual unless used in decisions about animals, ensuring the heavy data flow, record keeping or assessment will not give the expected results. In this study, it has been aiming that the examined the technologic applications at beef farms for sustainable and profitable meat production.

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Section: Live Animal Carcass Evaluationmentioning

confidence: 86%

Section: Live Animal Carcass Evaluationmentioning

confidence: 99%

Section: Live Animal Carcass Evaluationmentioning

confidence: 99%

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Futuristic Applications for Profitable Beef Production Systems

Göncü¹,

Anitaş²,

Gökçe³

2017

JESE-A

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“…The average correlations for rump fat and rib fat with carcass measurements were .92 and .90 with an average residual SEP of 1 mm. Duello et al (1992) reported a correlation in rib fat of .86 in relation to carcass measurement and Greiner (1997) reported .89 for rib fat. In the past, correlations of rib fat between ultrasound and carcass measurements ranged from .75 to .96 with an average of .86 (Houghton and Turlington, 1992).…”

Section: Fat Thicknessmentioning

confidence: 98%

“…In a study done by Greiner (1997), research was conducted on 534 steers to relate ultrasound as a predictor of retail product. The R2 value for weight of retail product in ultrasound using final weight, rib fat, ribeye area, and rump fat was .84.…”

Section: Carcass Traits Vs Ultrasound Traitsmentioning

confidence: 99%

Ultrasound adjustment factors for purebred yearling Limousin bulls and heifers

Anderson¹

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Introduction Materials and Methods 24 Results and Discussion 26 Implications LITERATURE CITED 47 ACKNOWLEDGEMENTS 53 LITERATURE REVIEW Accuracy of Ultrasound Producers are continually trying to find ways to improve the end product. One method is through genetic selection. In the past, various breed associations have developed genetic improvement programs for beef cattle primarily based on growth, maternal, and reproductive traits. However, these programs have not focused on the end product until recently, mainly due to limited carcass data collection and the lack of premiums for superior carcasses. Two steps need to be taken in order for genetic improvement programs to be applied to carcass merit in cattle. First, seedstock producers must have an economic incentive from packers, retailers, or consumers to be interested in selection for carcass improvement. Second, the methods by which body composition measurements are taken need to be cost-effective, accurate, and reasonably quick. The use of ultrasound has provided results that can satisfy all of these needs (Wilson, 1992). Reporting Accuracies In the past, there have been many studies trying to validate the use of ultrasound as a means to measure body composition. Correlation coefficients have been the statistic used to report accuracy. Even though this is a useful tool, there are limitations when reporting correlations. These include 1) the idea that population variation affects correlation coefficients (i.e., a small variation in a population will decrease the coefficient, and a large variation will increase correlations); 2) correlation coefficients don't take bias into account (i.e., if a technician uses a scanning technique that over or underestimates the measurement, or if an interpretation technician over or underestimates the measurement while tracing the

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Use of ultrasound to predict body composition changes in steers at 100 and 65 days before slaughter

Wall

Rouse

Wilson

et al. 2004

Journal of Animal Science

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Steers from research crossbreeding projects (n = 406) were serially scanned using real-time ultrasound at 35-d intervals from reimplant time until slaughter. Cattle were evaluated for rump fat depth, longissimus muscle area (ULMA), 12th-rib fat thickness (UFAT), and percentage of intramuscular fat (IMF) to determine the ability of ultrasound to predict carcass composition at extended periods before slaughter. Additional background information on the cattle, such as live weight, ADG, breed of sire, breed of dam, implant, and frame score was also used. Carcass data were collected by trained personnel at "chain speed," and samples of the 12th-rib LM were taken for ether extract analysis. Simple correlation coefficients showed positive relationships (P < 0.01) between ultrasound measures taken less than 7 d before slaughter and carcass measures: ULMA and carcass LM area (CLMA, r = 0.66); UFAT and carcass 12th-rib fat thickness (CFAT, r = 0.74); and IMF and carcass numeric marbling score (r = 0.61). The same correlation coefficients for ultrasound measures taken 96 to 105 d before slaughter and carcass values (P < 0.01) were 0.52, 0.58, and 0.63, respectively. Steers were divided into source-verified and nonsource-verified groups based on the level of background information for each individual. Regression equations were developed for the carcass measurements; 46% of the variation could be explained for CLMA and 44% of CFAT at reimplant time, 46% of the variation in quality grade and 42% of the variation in yield grade could be explained. Significant predictors of quality grade were IMF (P < 0.001), natural log of 12th-rib fat thickness (LUFAT, P < 0.001), and ADG (P < 0.01), whereas LUFAT (P < 0.001), ULMA (P < 0.01), live weight (P < 0.001), hip height (P < 0.001), and frame score (P < 0.001) were significant predictors of yield grade. Regressions using ultrasound data taken 61 to 69 d before slaughter showed increasing R2. Live ultrasound measures at reimplant time are a viable tool for making decisions regarding future carcass composition.

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The use of real-time ultrasound and live animal measurements to predict carcass composition in beef cattle

Cited by 5 publications

References 52 publications

Futuristic Applications for Profitable Beef Production Systems

Futuristic Applications for Profitable Beef Production Systems

Ultrasound adjustment factors for purebred yearling Limousin bulls and heifers

Use of ultrasound to predict body composition changes in steers at 100 and 65 days before slaughter

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