Roca Amparo, Muelas Raquel, Alejandro Manuel, Romero Gema, Díaz José Ramón
Servicio de Apoyo Técnico a la Docencia y la Investigación, Universidad Miguel Hernández de Elche, 03312 Orihuela, Spain.
C/Anabel Segura, 7, 28108 Madrid, Spain.
Animals (Basel). 2023 May 30;13(11):1808. doi: 10.3390/ani13111808.
The aim of this study was to determine the effect of the onset of intramammary infection (IMI) on the electrical conductivity (EC) of ewe milk and assess the detection capability of various algorithms based on daily glandular milk EC measurement. An experiment was carried out with 26 Manchega sheep located at the farm of the Miguel Hernández University, Elche, Spain. The variables in milk from the gland (production, EC) were monitored daily for 2 weeks during the morning and evening milking; once infection was established in the gland, the variables were measured for a further 4 weeks. In addition, the SCC, sodium, potassium, chloride and milk macro-compositions were analysed. The sensitivity, specificity and positive and negative predictive values for IMI detection of different algorithms were calculated using the EC variable. It was observed that the onset of IMI resulted in an increase in SCC and a significant decrease in yield, and EC rose significantly when infection occurred bilaterally. The best results for IMI detection were obtained with the algorithm that detected deviations greater than 3σ of the conductivity ratio between collateral glands with respect to a moving average calculated with a time horizon of 10 days (50% sensitivity and 100% specificity).
本研究的目的是确定乳房内感染(IMI)的发生对母羊乳汁电导率(EC)的影响,并基于每日乳腺乳汁EC测量评估各种算法的检测能力。在西班牙埃尔切米格尔·埃尔南德斯大学农场的26只曼彻格羊上进行了一项实验。在早晚挤奶期间,每天监测乳腺乳汁中的变量(产量、EC),持续2周;一旦乳腺发生感染,再对这些变量进行4周的测量。此外,还分析了体细胞计数(SCC)、钠、钾、氯和乳汁的宏观成分。使用EC变量计算不同算法检测IMI的敏感性、特异性以及阳性和阴性预测值。观察到IMI的发生导致SCC增加,产量显著下降,双侧感染时EC显著升高。使用检测副乳腺间电导率比值相对于以10天为时间范围计算的移动平均值偏差大于3σ的算法,获得了IMI检测的最佳结果(敏感性50%,特异性100%)。