Estimación in vivo de la canal porcina por el método de ultrasonografía: Un Enfoque de la Ecointensificación en Bioeconomia Porcina

Santiago Hernández Zapata, Noel Blanco-Roa, Elvin Chavarría Rivaz, C. A. Zuniga-Gonzalez
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引用次数: 2

Abstract

In this study we analyze the relationship between subcutaneous fat thickness (EGS), muscle thickness (MS) and subcutaneous fat thickness and muscle thickness together (EGSM), measured with ultrasound at a single anatomical point of live pigs and more parameters important of the carcass . In our experiment we used hybrid pigs of the Pietrain, Landrace and Yorkshire breeds in an amount of 25 animals of both sexes. The results of the study suggest that the parameters of the channel composition analyzed here (Live weight, carcass weight, meat class A, B, C and specific cuts, loin, leg post and needle) are highly correlated with the thickness of subcutaneous fat measured with ultrasound on the last rib of the very long dorsal muscle on the left side of the live pig (r = 0.53 - 0.67). The multiple correlation of the linear regression prediction model between the parameters of the carcass and the thickness of the dorsal fat was (0.74) and the coefficient of determination showed sufficient predictability (R2 = 0.55). The linear regression prediction models of the carcass components with muscle thickness obtained low predictability (R2 = 0.23). Similarly in the regression model of subcutaneous fat thickness and muscle thickness together (R2 = 0.25).  Among the most important correlations found are: right loin, class A meat (r = 0.80), live weight and whole carcass (r = 0.85) right shoulder and class B meat (r = 0.88) being this repetitive pattern in all correlations of ultrasonographic measurements and channel components.
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超声法对猪胴体的体内估计:猪生物经济生态强化的一种方法
本研究分析了生猪胴体超声单解剖点测量的皮下脂肪厚度(EGS)、肌肉厚度(MS)和皮下脂肪厚度和肌肉厚度(EGSM)之间的关系以及胴体其他重要参数。在我们的实验中,我们使用了皮特兰,长白和约克郡品种的杂交猪,共25只雌雄动物。研究结果表明,本研究分析的通道组成参数(活重、胴体重、肉类A、B、C和特定部位、腰、腿柱和针)与生猪左侧超长背肌最后一根肋骨超声测量的皮下脂肪厚度高度相关(r = 0.53 ~ 0.67)。胴体参数与背膘厚度线性回归预测模型的多重相关系数为(0.74),决定系数具有足够的可预测性(R2 = 0.55)。胴体成分与肌肉厚度的线性回归预测模型可预测性较低(R2 = 0.23)。同样,在皮下脂肪厚度和肌肉厚度的回归模型中(R2 = 0.25)。其中发现的最重要的相关性是:右腰肉,A类肉(r = 0.80),活重和整个胴体(r = 0.85),右肩肉和B类肉(r = 0.88)在超声测量和通道成分的所有相关性中都是重复的模式。
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