Hisira Vladimír, Zigo František, Kadaši Marián, Klein Róbert, Farkašová Zuzana, Vargová Mária, Mudroň Pavol
Clinic of Ruminants, University of Veterinary Medicine and Pharmacy, 04181 Košice, Slovakia.
Department of Nutrition and Animal Husbandry, University of Veterinary Medicine and Pharmacy, 04181 Košice, Slovakia.
Vet Sci. 2023 Jul 17;10(7):468. doi: 10.3390/vetsci10070468.
The aim of this study was to compare three on-farm commercial methods for the indirect detection of subclinical mastitis in dairy cows: the California mastitis test (CMT), the Porta side somatic cell count milk test (Porta SCC), and the DeLaval cell counter (DCC), with the Fossomatic cell count (FSCC), and to evaluate the relationship between the determined somatic cell count SCC and the occurrence of intramammary pathogens in the milk of dairy cows. A total of 284 sensory unchanged mixed milk samples, collected during the milking on a dairy farm, were analyzed in this study for somatic cell counts by the mentioned on-farm tests. Quarter milk samples ( = 583) from all the selected cows were cultured. The agreement, sensitivity, and specificity of the three indirect commercial diagnostic tests (the CMT, the Porta SCC, and the DeLaval cell counter) were calculated, and the FSCC was used as the gold standard. The results were analyzed statistically using the Pearson correlation test and the paired -test. The CMT matched with the FSCC in 83.1% of the samples, with the Porta SCC in 80.6%, and with the DCC in 80.3% of the samples. The sensitivity and specificity reached 81.0% and 92.9% for the CMT, 79.4% and 90.7% for the Porta SCC, and 75.8% and 97.5% for the DCC, respectively. The correlation between the FSCC and the Porta SCC was 0.86 ( < 0.0001), and between the FSCC and the DCC, it was 0.92 ( < 0.0001). The differences between them were insignificant. Bacteria were detected in 130 (22.3%) quarter milk samples. The most prevalent bacteria were spp. (36.2%), followed by (20%), coagulase-negative staphylococci (13.1%), (9.2%), spp. (9.2%), spp. (6.2%), and (3.9%). Contagious isolates () were detected in 3 quarter milk samples (2.3%). The agreement between the individual tests and the microbiological culture was as follows: 69.2% for the CMT; 73.7% for the Porta SCC; 71.6% for the DCC; and 76.5% for the FSCC. Higher SCCs were detected in the milk samples contaminated with bacteria than in the healthy milk ( < 0.001). No significance was found between the presence of individual species of intramammary pathogens and the different levels of SCCs. Based on the results, bacteria are the predominant cause of subclinical mastitis. The increased SCC of some milk samples with no presence of bacteria meant that the increase could have been caused by numerous other agents (viruses, fungi, or algae) or factors for mastitis in the dairy industry.
加利福尼亚乳腺炎检测法（CMT）、便携式体细胞计数牛奶检测法（Porta SCC）和利拉伐细胞计数器（DCC），并与Fossomatic细胞计数法（FSCC）进行比较，同时评估所测定的体细胞计数（SCC）与奶牛乳汁中乳房内病原体的发生情况之间的关系。本研究对一家奶牛场挤奶期间采集的284份感官无变化的混合牛奶样本，通过上述农场检测方法进行了体细胞计数分析。对所有选定奶牛的四分之一乳区牛奶样本（n = 583）进行了培养。计算了三种间接商业诊断检测方法（CMT、Porta SCC和利拉伐细胞计数器）的一致性、敏感性和特异性，并将FSCC用作金标准。使用Pearson相关性检验和配对t检验对结果进行统计学分析。CMT与FSCC在83.1%的样本中匹配，与Porta SCC在80.6%的样本中匹配，与DCC在80.3%的样本中匹配。CMT的敏感性和特异性分别达到81.0%和92.9%，Porta SCC为79.4%和90.7%，DCC为75.8%和97.5%。FSCC与Porta SCC之间的相关性为0.86（P < 0.0001），与DCC之间的相关性为0.92（P < 0.0001）。它们之间的差异不显著。在130份（22.3%）四分之一乳区牛奶样本中检测到细菌。最常见的细菌是金黄色葡萄球菌（36.2%），其次是大肠杆菌（20%）、凝固酶阴性葡萄球菌（13.1%）、无乳链球菌（9.2%）、停乳链球菌（9.2%）、乳房链球菌（6.2%）和嗜热栖热菌（3.9%）。在3份四分之一乳区牛奶样本（2.3%）中检测到传染性分离株（金黄色葡萄球菌）。各检测方法与微生物培养之间的一致性如下：CMT为69.2%；Porta SCC为73.7%；DCC为71.6%；FSCC为76.5%。与健康牛奶相比，受细菌污染的牛奶样本中检测到的SCC更高（P < 0.001）。未发现乳房内病原体的单个种类与不同水平的SCC之间存在显著差异。基于这些结果，细菌是亚临床乳腺炎的主要原因。一些未检测到细菌的牛奶样本中SCC升高意味着这种升高可能是由许多其他因素（病毒、真菌或藻类）或奶牛业乳腺炎相关因素引起的。
