Application of bioelectrical impedance analysis in prediction of light kid carcass and muscle chemical composition

Abstract

Carcass data were collected from 24 kids (average live weight of 12.5±5.5 kg; range 4.5 to 22.4 kg) of Jarmelista Portuguese native breed, to evaluate bioelectrical impedance analysis (BIA) as a technique for prediction of light kid carcass and muscle chemical composition. Resistance (Rs, Ω) and reactance (Xc, Ω), were measured in the cold carcasses with a single frequency bioelectrical impedance analyzer and, together with impedance (Z, Ω), two electrical volume measurements (VolA and VolB, cm2/Ω), carcass cold weight (CCW), carcass compactness and several carcass linear measurements were fitted as independent variables to predict carcass composition by stepwise regression analysis. The amount of variation explained by VolA and VolB only reached a significant level (P<0.01 and P<0.05, respectively) for muscle weight, moisture, protein and fat-free soft tissue content, even so with low accuracy, with VolA providing the best results (0.326⩽R 2⩽0.366). Quite differently, individual BIA parameters (Rs, Xc and Z) explained a very large amount of variation in dissectible carcass fat weight (0.814⩽R 2⩽0.862; P<0.01). These individual BIA parameters also explained a large amount of variation in subcutaneous and intermuscular fat weights (respectively 0.749⩽R 2⩽0.793 and 0.718⩽R 2⩽0.760; P<0.01), and in muscle chemical fat weight (0.663⩽R 2⩽0.684; P<0.01). Still significant but much lower was the variation in muscle, moisture, protein and fat-free soft tissue weights (0.344⩽R 2⩽0.393; P<0.01) explained by BIA parameters. Still, the best models for estimation of muscle, moisture, protein and fat-free soft tissue weights included Rs in addition to CCW, and accounted for 97.1% to 99.8% (P<0.01) of the variation observed, with CCW by itself accounting for 97.0% to 99.6% (P<0.01) of that variation. Resistance was the only independent variable selected for the best model predicting subcutaneous fat weight. It was also selected for the best models predicting carcass fat weight (combined with carcass length, CL; R 2=0.943; P<0.01) and intermuscular fat weight (combined with CCW; R 2=0.945; P<0.01). The best model predicting muscle chemical fat weight combined CCW and Z, explaining 85.6% (P<0.01) of the variation observed. These results indicate BIA as a useful tool for prediction of light kids' carcass composition.

Análisis de impedancia bioeléctrica (AIB) en la producción animal. Revisión

“…In addition, Silva et al (38) , when using BIA analysis as a technique for the prediction of the carcass and muscle of light goats, observed that Rs was the only independent variable that determined subcutaneous fat with prescription. However, by including the carcass length combined with Rs in the model, they obtained an even higher level of determination, 0.943 (P<0.01).…”

Ajuste De Modelos Para Predecir El Rendimiento Y Características De La Canal en Base a Variables Productivas Antemortem De Ovinos en Engorda Con Alimentación Intensiva

“…En este sentido, resulta importante la evaluación y predicción del rendimiento y características de la canal por métodos instrumentales, la cual es especializada y precisa, ej. análisis de imágenes de resonancia magnética (Silva et al, 2018) y ultrasonografía in vivo en tiempo real (Dias et al, 2020), pero su práctica incrementa los costos de producción por conceptos de capacitación de personal y compra de equipo tecnológico. Los métodos matemáticos de predicción, a partir de medidas morfométricas son económicos, robustos y eficaces para predecir las características y calidad de las canales en los sistemas de producción pecuaria (Gagaoua y Picard, 2020).…”

A review: Application and research progress of bioimpedance in meat quality inspection

“…Organisms are mainly composed of water, proteins, fats, carbohydrates, and inorganic compounds, each of which has unique electrical properties, and changes in biological composition or cell structure can be determined by measuring these properties. As one of the most promising bioassay research fields in recent years, electrical impedance techniques have been widely used in food quality and safety evaluation, including cooked food product quality control (Schmidt et al, 2017) assessing the aging of meat (Damez et al, Clerjon et al, 2008a), predicting carcass composition of meat (Bohuslavek & Augustini, 2003; Duncan et al, 2007; Silva et al, 2018; Zollinger et al, 2010), and freshness of meat during storage (Niu & Lee, 2000). In addition, electrical impedance is fast, nondestructive, inexpensive, and easy to implement, and it is expected to develop online testing instruments based on it to replace traditional testing methods to achieve time, cost, personnel savings, and quality grading.…”