Prediction of live lamb chemical composition utilizing electromagnetic scanning (ToBEC)

Electromagnetic scanning was investigated to determine its accuracy in predicting chemical composition in live lambs. Forty-seven Rambouillet wether lambs were scanned with an electromagnetic instrument (ToBEC Model HA-2). Lambs were serially scanned and slaughtered over the weight range of 29.5 to 63.5 kg. Each lamb was scanned twice: before and immediately after 24 h of food deprivation. Chemical composition was determined from whole-animal ground samples by AOAC methods for percentage of DM, CP, ether extract (EE), and Ash. Percentage of fat-free mass (FFM) was calculated from the percentage of moisture and CP. Correlation and stepwise regression procedures were used to identify the most reliable independent variables for predicting chemical composition. Independent variables included electromagnetic scan data and live animal measures for weight, body length, and chest girth circumference. Electromagnetic data included the average scan response curve (PH0) and Fourier transformations (P1T, P1R, P2T, and P2R). Repeatability of the HA-2 model was extremely high (r = .98). Reliable prediction equations were obtained for DM, CP, EE, and FFM (R2 > .66). The percentage of ash could not be predicted from the independent variables. Electromagnetic scan responses contributed little to the model sum of squares. Body weight accounted for the majority of the model sum of squares. Depriving lambs of food for 24 h slightly improved the R2 value and significantly decreased scan responses (P < .01). Body weight was a better predictor of chemical composition over a large weight range than any of the scan responses. Further investigation of the HA-2 is needed to determine whether it is effective in determining differences in live body composition between animals of equal weight.