Prediction of carcass composition through measurements in vivo and measurements of the carcass of growing Santa Inês sheep

Abstract

In vivo and carcass measurements were evaluated to predict carcass physical and chemical composition and to list the measurements that best fit the prediction of the composition of growing Santa Inês sheep carcasses. Thirty-three animals were used to measure the loin eye area by ultrasound in vivo (LEAu) and in the carcass. We used 39 animals for biometric measurement in vivo and 42 sheep for morphometric measurement in the carcass. For the physical and chemical compositions of carcasses, dissection of the half left carcass was carried out in 42 animals. The data were submitted to Pearson’s correlation analysis and t test. Simple and multiple linear regressions were performed using a stepwise procedure. All correlations between in vivo measurements and the physical and chemical compositions of carcasses (in kg) were significant, except for LEAu. Biometric measurements and hot (HCW) and cold (CCW) carcass weights were considered as predictors of the carcasses’ physical and chemical compositions. Slaughter body weight (SBW) was the variable that most influenced the equations in the assessment of in vivo measurements and HCW and CCW most influenced the equations for measurements on carcasses. Biometric measurements of Santa Inês sheep can be used together with the SBW to estimate the physical and chemical compositions of carcasses, with emphasis on body compactness index, breast width, wither height, and croup height. The morphometric measurements can be used together with carcass weight to estimate the physical and chemical compositions of carcasses, with emphasis on croup width, carcass compactness index, croup perimeter, external and internal carcass lengths, chest width, and leg length and perimeter. The HCW can be used to predict the physical and chemical composition of carcasses without affecting the accuracy of the prediction model.

Assessment of Growth Performance, Ultrasound Measurements, Carcass Merits and Meat Quality of Barki Lambs at Different Weaning Weights

“…These findings match with our results of the positive correlation between body and carcass measurements. Ultrasonography technique is conducted on sheep farms to select the fit animals for slaughtering purpose and select the best animals to involve in a breeding program according to their carcass merits, that mains this technology will be applied widely due to low cost, less labor and quick application compared to traditional method (Gomes et al, 2021). Regarding to our findings, the in vivo ultrasound measurements, and real Longissimus dorsi (LD) muscle measurements on the carcass have a similar tendency.…”

Prediction of Carcass Traits of Santa Inês Lambs Finished in Tropical Pastures through Biometric Measurements

“…Biometric measurements have been used to estimate the composition and yield of cuts from sheep carcasses [ 9 , 10 , 11 ]. Recently, Gomes et al [ 12 ] reported that morphometric measurements can be used in conjunction with animal weight to increase the accuracy of predictive equations for the characteristics of Santa Inês sheep carcasses. Likewise, Costa et al [ 7 ] and Bautista-Díaz et al [ 6 ] showed that biometric measurements can be used to predict the carcass characteristics of feedlot-finished lambs.…”

Predictive Equations of Carcass Characteristics and Primal Cut Weights of Native Mexican Guajolotes Using Body Measurements

“…The mean SBW was 4543.14 ± 656.60 g, with a CV of 14.45% among birds. The observed variability is related to the susceptibility of this variable to external influences such as climatic conditions (Silva et al, 2019); however, a diversified database is desirable for better accuracy (Gomes et al,2021). Regarding HCW and CCW, they showed mean values of 2781.43 ± 496.91 g and 2747.57 ± 487.51 g, respectively, both with a CV > 17%.…”

“…Although these techniques are promising for the subjective evaluation of carcass composition, their use is limited to laboratory conditions and the required equipment is expensive, which represents a challenge for developing countries. On the other hand, several authors (Bochno et al, 2000;Kleczek et al, 2006;Yakubu et al, 2009;Tyasi et al, 2018;Costa et al, 2020;Gomes et al, 2021) showed that the development of regression equations using somebody measurements represents an indirect, accurate and non-invasive method to predict carcass components. Additionally, this technique allows information to be collected from animals in vivo, without the need for sacrifice, so it can be useful for selective breeding and genetic improvement (Banerjee, 2011;Erensoy et al, 2020).…”