Literature DB >> 12661648

The relationship between ultrasound measurements and carcass fat thickness and longissimus muscle area in beef cattle.

S P Greiner1, G H Rouse, D E Wilson, L V Cundiff, T L Wheeler.   

Abstract

Five hundred thirty-four steers were evaluated over a 2-yr period to determine the accuracy of ultrasonic estimates of carcass 12th-rib fat thickness (CFAT) and longissimus muscle area (CLMA). Within 5 d before slaughter, steers were ultrasonically measured for 12th-rib fat thickness (UFAT) and longissimus muscle area (ULMA) using an Aloka 500V real-time ultrasound machine equipped with a 17.2-cm, 3.5-MHz linear transducer. Overall, correlation coefficients between ultrasound and carcass fat and longissimus muscle area were 0.89 and 0.86, respectively. Correlations for UFAT with CFAT were similar between years (0.86 and 0.90), whereas the relationship between ULMA and CLMA was stronger in yr 1 (r = 0.91; n = 282) than in yr 2 (r = 0.79; n = 252). Differences between ultrasonic and carcass measurements were expressed on both an actual (FDIFF and RDIFF) and absolute (FDEV and RDEV) basis. Mean FDIFF and RDIFF indicated that ultrasound underestimated CFAT by 0.06 cm and overestimated CLMA by 0.71 cm2 across both years. Overall mean FDEV and RDEV, which are indications of the average error rate, were 0.16 cm and 3.39 cm2, respectively. Analysis of year effects revealed that FDIFF, FDEV, and RDEV were greater (P < 0.01) in magnitude in yr 1. Further analysis of FDEV indicated that leaner (CFAT < 0.51 cm) cattle were overestimated and that fatter (CFAT > 1.02 cm) cattle were underestimated with ultrasound. Similarly, steers with small CLMA (< 71.0 cm2) were overestimated, and steers with large CLMA (> 90.3 cm2) were underestimated. The thickness of CFAT had an effect (P < 0.05) on the error of UFAT and ULMA measurements, with leaner animals being more accurately evaluated for both traits. Standard errors of prediction (SEP) adjusted for bias of ultrasound measurements were 0.20 cm and 4.49 cm2 for UFAT and ULMA, respectively. Differences in SEP were observed for ULMA, but not UFAT, by year. These results indicate that ultrasound can be an accurate estimator of carcass traits in live cattle when measurements are taken by an experienced, well-trained technician, with only small differences in accuracy between years.

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Year:  2003        PMID: 12661648     DOI: 10.2527/2003.813676x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  5 in total

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Authors:  A M Castilhos; C L Francisco; R H Branco; S F M Bonilha; M E Z Mercadante; P R L Meirelles; C M Pariz; A M Jorge
Journal:  J Anim Sci       Date:  2018-05-04       Impact factor: 3.159

2.  Physicochemical composition, fatty acid profile and sensory attributes of meat (longissimus lumborum muscle) from Nellore and Nellore-cross bulls.

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Journal:  Trop Anim Health Prod       Date:  2022-01-11       Impact factor: 1.559

3.  Development of the body condition score system in Murrah buffaloes: validation through ultrasonic assessment of body fat reserves.

Authors:  Anitha Alapati; Sarjan Rao Kapa; Suresh Jeepalyam; Srinivasa Moorthy Rangappa; Kotilinga Reddy Yemireddy
Journal:  J Vet Sci       Date:  2010-03       Impact factor: 1.672

4.  Molecular Factors Underlying the Deposition of Intramuscular Fat and Collagen in Skeletal Muscle of Nellore and Angus Cattle.

Authors:  Taiane S Martins; Letícia M P Sanglard; Walmir Silva; Mário L Chizzotti; Luciana N Rennó; Nick V L Serão; Fabyano F Silva; Simone E F Guimarães; Márcio M Ladeira; Michael V Dodson; Min Du; Marcio S Duarte
Journal:  PLoS One       Date:  2015-10-05       Impact factor: 3.240

5.  Growth Performance, Carcass and Meat Traits of Autochthonous Arouquesa Weaners Raised on Traditional and Improved Feeding Systems.

Authors:  Laura Sacarrão-Birrento; Maria José Gomes; Severiano R Silva; José A Silva; Duarte Moreira; Raquel Vieira; Luis Mendes Ferreira; Pedro Pereira; André M de Almeida; José Carlos Almeida; Carlos Venâncio
Journal:  Animals (Basel)       Date:  2022-09-20       Impact factor: 3.231

  5 in total

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