Matera Roberta, Di Vuolo Gabriele, Cotticelli Alessio, Salzano Angela, Neglia Gianluca, Cimmino Roberta, D'Angelo Danila, Biffani Stefano
Dipartimento di Medicina Veterinaria e Produzioni Animali, Università degli Studi di Napoli Federico II, 80131 Naples, Italy.
Istituto Zooprofilattico Sperimentale del Mezzogiorno, 80055 Portici, Italy.
Animals (Basel). 2022 Aug 29;12(17):2225. doi: 10.3390/ani12172225.
The measurement of milk electrical conductivity (EC) is a relatively simple and inexpensive technique that has been evaluated as a routine method for the diagnosis of mastitis in dairy farms. The aim of this study was to obtain further knowledge on relationships between EC, production traits and somatic cell count (SCC) in Italian Mediterranean Buffalo. The original dataset included 5411 records collected from 808 buffalo cows. Two mixed models were used to evaluate both the effect of EC on MY, PP and FP and EC at test-day, and the effect of EC on somatic cell score (SCS) by using five different parameters (EC_param), namely: EC collected at the official milk recording test day (EC_day), EC collected 3 days before official milk recording (EC_day), and three statistics calculated from EC collected 1, 3 and 5 days before each test-day, respectively. All effects included in the model were significant for all traits, with the only exception of the effect of EC nested within parity for FP. The relationship between EC and SCS was always positive, but of different magnitude according to the parity. The regression of EC on SCS at test-day using different EC parameters was always significant except when the regression parameter was the slope obtained from a linear regression of EC collected over the 5-day period. Moreover, in order to evaluate how well the different models fit the data, three parameters were used: the Average Information Criteria (AIC), the marginal R and the conditional R. According to AIC and to both the Marginal and Conditional R, the best results were obtained when the regression parameter was the mean EC estimated over the 5-day period.
牛奶电导率(EC)的测量是一种相对简单且成本低廉的技术,已被评估为奶牛场乳腺炎诊断的常规方法。本研究的目的是进一步了解意大利地中海水牛的电导率、生产性状和体细胞计数(SCC)之间的关系。原始数据集包括从808头母水牛收集的5411条记录。使用两个混合模型来评估电导率对日产奶量(MY)、乳蛋白率(PP)和乳脂率(FP)以及测定日电导率的影响,以及通过使用五个不同参数(EC_param)来评估电导率对体细胞评分(SCS)的影响,这五个参数分别为:在官方牛奶记录测试日收集的电导率(EC_day)、在官方牛奶记录前3天收集的电导率(EC_day),以及分别根据每次测试日前1天、3天和5天收集的电导率计算的三个统计量。模型中包含的所有效应对于所有性状均具有显著性,唯一的例外是FP中按胎次嵌套的电导率效应。电导率与体细胞评分之间的关系始终为正,但根据胎次不同幅度有所差异。使用不同电导率参数在测定日对体细胞评分进行电导率回归时,除了回归参数是5天期间收集的电导率线性回归得到的斜率时外,其余情况均具有显著性。此外,为了评估不同模型对数据的拟合程度,使用了三个参数:平均信息准则(AIC)、边际R和条件R。根据AIC以及边际R和条件R,当回归参数是5天期间估计的平均电导率时,获得了最佳结果。