Batista Ana Catharina, Santos Virgínia, Afonso João, Guedes Cristina, Azevedo Jorge, Teixeira Alfredo, Silva Severiano
Veterinary and Animal Research Center (CECAV), Associate Laboratory of Animal and Veterinary Science (AL4AnimalS), University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal.
Faculdade de Medicina Veterinária, ULisboa, Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal.
Animals (Basel). 2021 May 12;11(5):1368. doi: 10.3390/ani11051368.
Carcass dissection is a more accurate method for determining the composition of a carcass; however, it is expensive and time-consuming. Techniques like VIA are of great interest once they are objective and able to determine carcass contents accurately. This study aims to evaluate the accuracy of a flexible VIA system to determine the weight and yield of the commercial value of carcass cuts of light lamb. Photos from 55 lamb carcasses are taken and a total of 21 VIA measurements are assessed. The half-carcasses are divided into six primal cuts, grouped according to their commercial value: high-value (HVC), medium-value (MVC), low-value (LVC) and all of the cuts (AllC). K-folds cross-validation stepwise regression analyses are used to estimate the weights of the cuts in the groups and their lean meat yields. The models used to estimate the weight of AllC, HVC, MVC and LVC show similar results and a k-fold coefficient of determination (k-fold-R) of 0.99 is achieved for the HVC and AllC predictions. The precision of the weight and yield of the three prediction models varies from low to moderate, with k-fold-R results between 0.186 and 0.530, < 0.001. The prediction models used to estimate the total lean meat weight are similar and low, with k-fold-R results between 0.080 and 0.461, < 0.001. The results confirm the ability of the VIA system to estimate the weights of parts and their yields. However, more research is needed on estimating lean meat yield.
胴体解剖是确定胴体组成的一种更准确的方法；然而，它成本高昂且耗时。像VIA这样的技术一旦具有客观性且能够准确确定胴体成分，就会备受关注。本研究旨在评估一种灵活的VIA系统在确定轻羔羊胴体切块商业价值的重量和产量方面的准确性。拍摄了55只羔羊胴体的照片，并评估了总共21次VIA测量。半胴体被分为六个主要切块，根据其商业价值分组：高价值（HVC）、中等价值（MVC）、低价值（LVC）以及所有切块（AllC）。采用K折交叉验证逐步回归分析来估计各组切块的重量及其瘦肉产量。用于估计AllC、HVC、MVC和LVC重量的模型显示出相似的结果，对于HVC和AllC预测，K折决定系数（k-fold-R）达到0.99。三个预测模型的重量和产量精度从低到中等不等，k-fold-R结果在0.186至0.530之间，<0.001。用于估计总瘦肉重量的预测模型相似且较低，k-fold-R结果在0.080至0.461之间，<0.001。结果证实了VIA系统估计各部分重量及其产量的能力。然而，在估计瘦肉产量方面还需要更多的研究。
