PREDICTING EMPTY BODY COMPOSITION OF CATTLE FROM CARCASS WEIGHT AND RIB CUT COMPOSITION

1975 ◽  
Vol 55 (3) ◽  
pp. 369-376 ◽  
Author(s):  
W. S. ALHASSAN ◽  
J. G. BUCHANAN-SMITH ◽  
W. R. USBORNE ◽  
G. C. SMITH ◽  
G. C. ASHTON

Data collected on 43 steers (25 predominantly Hereford breeding (H) and 18 predominantly Angus breeding (A)) were used to generate equations to predict total body composition of Angus and Hereford steers from measurements obtained at slaughter. Empty body fat (ether extract, EBF), kg was predicted from 9–11 rib cut fat (ether extract, RF), kg and warm carcass weight (WCW), kg by the following: H — steers, EBF = − 11.49 + 44.08 RF + 0.22 WCW (R2 = 0.96, CV = 10.07%) and A — steers, EBF = − 49.30 + 31.30 RF + 0.50 WCW (R2 = 0.94, CV = 9.40%). Total empty body energy (EBE) (Mcal) was predicted from 9–11 rib cut energy (RE, Mcal) and WCW (kg) by the following: H — steers, EBE = − 252.6 + 28.85 RE + 4.26 WCW (R2 = 0.94, CV = 10.15%) and A — steers, EBE = − 434.3 + 25.48 RE + 5.64 WCW (R2 = 0.94, CV = 8.02%). Prediction of EBF and EBE from RF and RE, respectively, differed (P = 0.05) between breeds whereas prediction from WCW did not. For all steers, EBF, kg and EBE, Mcal, respectively, were predicted from WCW, kg, by the following: EBF = − 63.71 + 0.704 WCW (r2 = 0.91, CV = 12.44%) and EBE = − 537.7 + 7.377 WCW (r2 = 0.92, CV = 10.0%). Body protein (BP), kg was predicted from WCW, kg by the following: H — steers, BP = 23.31 + 0.154 WCW (r2 = 0.83, CV = 6.04%) and A — steers, BP = 11.32 + 0.195 WCW (r2 = 0.93, CV = 5.29%). Prediction of BP was not significantly improved by the inclusion of 9–11 rib protein in the equation with WCW. Prediction of body water and ash from weights of rib cut water and ash, respectively, and warm carcass weight were unacceptable. Non-linear relationships between rib cut component weights and corresponding empty body weights as well as between WCW and empty body component weights were generally not significant (P = 0.05). Inclusion of kidney and pelvic fat weight in these equations did not greatly improve their accuracy.

1984 ◽  
Vol 40 (4) ◽  
pp. 834-839 ◽  
Author(s):  
R B Mazess ◽  
W W Peppler ◽  
M Gibbons

2002 ◽  
Vol 45 (6) ◽  
pp. 535-545
Author(s):  
A. D. Mitchell ◽  
A. Scholz ◽  
V. Pursel

Abstract. The purpose of this study was to evaluate the use of a cross-sectional scan as an alternative to the total body DXA scan for predicting the body composition of pigs in vivo. A total of 212 pigs (56 to 138 kg live body weight) were scanned by DXA. The DXA scans were analyzed for percentage fat and lean in the total body and in 14 cross-sections (57.6 mm wide): 5 in the front leg/thoracic region, 4 in the abdominal region, and 5 in the back leg region. Regression analysis was used to compare total body and cross-sectional DXA results and chemical analysis of total body fat, protein and water. The relation (R2) between the percentage fat in individual slices and the percentage of total body fat measured by DXA ranged from 0.78 to 0.97 and by chemical analysis from 0.71 to 0.85, respectively. The relation between the percentage of lean in the individual slices and chemical analysis for percentage of total body protein and water ranged from 0.48 to 0.60 and 0.56 to 0.76, respectively. These results indicate that total body composition of the pig can be predicted (accurately) by performing a time-saving single-pass cross-sectional scan.


2020 ◽  
Vol 71 (11) ◽  
pp. 94-100
Author(s):  
Luciana Carmen Nitoi ◽  
Valeriu Ardeleanu ◽  
Anca Pantea Stoian ◽  
Lavinia Alexandra Moroianu

Several approaches have been used to assess protein-energy wasting syndrome, such as clinical evaluation, biochemical nutritional markers, anthropometric measurements, but Bioelectrical Impedance Analysis (BIA) techniques hold a central place in clinical settings. The aim of this study is to report our clinical experience with BIA and the correlations between biochemical nutritional markers and BIA nutritional parameters in hemodialysis (HD) patients associating or free of chronic liver disease. This cross-sectional observational study included 69 HD patients divided into two groups: 33 with chronic liver disease (CLD+) versus 36 chronic liver disease-free (CLD-) from one HD unit in Romania. Serum albumin (SA), serum creatinine (SCr) and C-reactive protein (CRP) were obtained from the HD arterial line immediately before the HD session and by BIA the body composition including total body water (TBW), total body fat (TBF), lean fat free mass(LFFM), body muscular mass (BMM), malnutrition index and body protein reserve (PR) were assessed. No significant differences between groups were found in BCM, BMM, PR and TBF (p = 0.92, p = 0.60, p = 0.907, and p = 0.634, respectively). Malnutrition index had a significantly higher mean value in HD-CLD(+) patients (p = 0.00). HD-CLD(-) group showed a strong correlation between SA and SCr and BCM, BMM (kg), LFFM (kg) and body PR (kg) (r=.48, r=.50, r=.44, r=.50; resp. r=.42, r=.40, r=.36, r=.42). In HD-CLD(+) patients, a significant positive correlation was found between SA and SCr and LFFM and body PR (r=.37, r=.35; resp. r=.44, r=.35). Discussion: BIA is one of the most accurate techniques for assessing nutritional status and should be regularly used in clinical practice along with biochemical nutritional markers in HD patients. Although the protein metabolism depends to a large extent on liver function, CLD cannot be considered as having a significant impact on nutritional status in HD patients.


2018 ◽  
Vol 21 (1) ◽  
pp. 28-29
Author(s):  
Tom V. Sanchez ◽  
Patrick Cunniff ◽  
Chad A. Dudzek ◽  
Joe Joyce ◽  
Jingmei Wang

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 95-95
Author(s):  
Tylo J Kirkpatrick ◽  
Kaitlyn Wesley ◽  
Sierra L Pillmore ◽  
Kimberly Cooper ◽  
Travis Tennant ◽  
...  

Abstract This experiment was designed to quantify the empty body composition of Jersey steers administered an aggressive implant strategy. Jersey steers {n = 30; initial body weight (BW) 183 ± 43 kg} were randomly assigned to one of two implant strategies: negative control (CON), or implanted with Revalor 200 (200 mg trenbalone acetate / 20 mg estradiol 17-β; (REV) every 70 d (d 0, d 70, d 140, d 210, d 280, d 350) during a 420 d feeding period. Steers were harvested on d 421; 6 CON and 6 REV steers were randomly selected for collection of blood, hide, ground viscera, bone, and ground lean and fat to determine empty body composition. Proximate analysis was completed for each sample to determine total body percentages of moisture, crude protein, fat, and ash. Data were analyzed via independent t-test. Percentage empty body moisture (46.48% CON vs 49.69% REV) and empty body protein (15.32% CON vs 17.58% REV) were greater (P < 0.01) in REV cattle. In contrast empty body fat (33.51% CON vs 26.93% REV) was greater (P < 0.01) for CON cattle. Empty body ash did not differ (P > 0.10; 4.69% CON vs 5.80% REV) between treatments. Negative control steers contained a total empty body protein to total empty body fat ratio of 0.44:1 compared to 0.62:1 for REV steers. These data suggest that an aggressive implant strategy alters composition of gain during the finishing of Jersey steers toward increased protein and decreased fat.


1996 ◽  
Vol 6 (S1) ◽  
pp. 278-278
Author(s):  
J. C. Roos ◽  
H. de Boer ◽  
A. van Lingen ◽  
G. J. J. Teule ◽  
P. Lips

2002 ◽  
Vol 75 (5) ◽  
pp. 818-826 ◽  
Author(s):  
Bernard Gutin ◽  
Paule Barbeau ◽  
Scott Owens ◽  
Christian R Lemmon ◽  
Mara Bauman ◽  
...  

1994 ◽  
Vol 267 (6) ◽  
pp. E1002-E1009 ◽  
Author(s):  
G. Franch-Arcas ◽  
L. D. Plank ◽  
D. N. Monk ◽  
R. Gupta ◽  
K. Maher ◽  
...  

The management of critically ill patients would be better understood if the total energy expenditure (TEE) and its components are known. To quantify the different components of energy expenditure in patients with major trauma, we used a technique combining measurements of body composition and oxygen consumption. We determined changes in body weight, total body water, total body protein, total body potassium, total body fat, and bone mineral content every 5 days over a 10-day period in a group of nine multiply injured patients. Resting energy expenditure was measured by indirect calorimetry (REEm), and a predicted value was obtained from total body potassium (REEp). TEE was assessed by adding the total calorie intake to the changes in body energy stores, and the activity energy expenditure (AEE) was calculated by subtracting REEm from TEE. Mean daily values for REEm, REEp, TEE, and AEE were 2,236 +/- 140, 1,683 +/- 82, 3,029 +/- 276, and 793 +/- 213 kcal/day, respectively, over the 10-day study period. Although not statistically significant, the mean AEE was four times smaller for the first 5 days of study than for the second 5 days (298 +/- 400 vs. 1,254 +/- 588 kcal/day). The technique of combining indirect calorimetry and body composition measurements offers a new approach to evaluate energy expenditure and a new way to study metabolic disorders and therapeutic strategies in critically ill patients.


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