Institute for Risk Assessment Sciences, Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CM Utrecht, the Netherlands.
Institute for Risk Assessment Sciences, Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CM Utrecht, the Netherlands.
J Dairy Sci. 2024 Aug;107(8):5427-5437. doi: 10.3168/jds.2023-24574. Epub 2024 Apr 11.
Total bacterial count (TBC) and SCC are important quality parameters in goat milk. Exceeding the bulk milk TBC (BMTBC) thresholds leads to price penalties for Dutch dairy goat farmers. Controlling these milk quality parameters can be challenging, especially around kidding. First, we describe the variation and the peaks around kidding of TBC and SCC in census data on Dutch bulk milk over the last 22 yr. Second, to explore causes of these elevations, we studied the variation of TBC and SCC in individual goat milk from 3 wk before to 5 wk after kidding and their association with systemic response markers IFN-γ, calprotectin, BHB, BCS, and fecal consistency. We visited 4 Dutch dairy goat farms weekly for 10 to 16 wk around kidding. Some of the goats had been dried off; other goats were milked continuously throughout pregnancy. A total of 1,886 milk samples from 141 goats were collected for automated flow cytometric quantification of TBC and SCC measurement. IFN-γ, calprotectin, and BHB were determined twice in blood of the same goats; most samples were collected after kidding. The BCS and fecal consistency were scored visually before and after kidding. We found a strong correlation between TBC and SCC (Spearman's rho = 0.87) around kidding. Furthermore, in the third week before kidding, the average TBC (5.67 log cfu/mL) and SCC (6.70 log cells/mL) were significantly higher compared with the fifth week after kidding, where the average TBC decreased to 4.20 log cfu/mL, and the average SCC decreased to 5.92 log cells/mL. In multivariable linear regression models, farm and stage of lactation were significantly associated with TBC and SCC, but none of the systemic response markers correlated with TBC or SCC. In conclusion, TBC and SCC in dairy goats were high in late lactation and decreased shortly after parturition. For SCC, the dilution effect might have caused the decrease, but this was not plausible for TBC. Moreover, the excretion of bacteria and cells in goat milk was not associated with the selected systemic response markers that were chosen as a readout for general immunity status, intestinal health, and metabolic diseases. Therefore, we assume that the TBC increase before kidding and the decrease after parturition are caused by other systemic, possibly hormonal, processes. To reduce BMTBC and bulk milk SCC, it would be advisable to keep milk of goats with highest numbers of bacteria and cells in their milk out of the bulk milk during end lactation. Further studies are needed to investigate the effects of withholding this end-lactation milk from the bulk tank.
总细菌计数(TBC)和 SCC 是山羊奶的重要质量参数。超过批量牛奶 TBC(BMTBC)阈值会导致荷兰奶山羊养殖户价格受到惩罚。控制这些牛奶质量参数可能具有挑战性,尤其是在产羔期间。首先,我们描述了过去 22 年荷兰批量牛奶中 TBC 和 SCC 在普查数据中的变化和产羔时的峰值。其次,为了探讨这些升高的原因,我们研究了个体山羊奶中 TBC 和 SCC 的变化,从产羔前 3 周到产羔后 5 周,并将其与全身反应标志物 IFN-γ、钙卫蛋白、BHB、BCS 和粪便稠度联系起来。我们在产羔前后 10 至 16 周每周访问 4 个荷兰奶山羊场。一些山羊已经断奶;其他山羊在怀孕期间一直被挤奶。从 141 只山羊中采集了 1886 个牛奶样本,用于自动流式细胞术定量 TBC 和 SCC 测量。IFN-γ、钙卫蛋白和 BHB 在同一批山羊的血液中两次测定;大多数样品是在产羔后采集的。在产羔前后,BCS 和粪便稠度通过肉眼评分。我们发现产羔前后 TBC 和 SCC 之间存在很强的相关性(Spearman's rho = 0.87)。此外,在产羔前第三周,平均 TBC(5.67 log cfu/mL)和 SCC(6.70 log 细胞/mL)明显高于产羔后第五周,此时 TBC 平均降低至 4.20 log cfu/mL,SCC 平均降低至 5.92 log 细胞/mL。在多变量线性回归模型中,农场和泌乳阶段与 TBC 和 SCC 显著相关,但没有一种全身反应标志物与 TBC 或 SCC 相关。总之,山羊奶中的 TBC 和 SCC 在泌乳后期较高,分娩后不久就会下降。对于 SCC,稀释效应可能导致了这种下降,但对于 TBC 来说,这种情况似乎不太可能。此外,在山羊奶中细菌和细胞的排泄与所选的全身反应标志物无关,这些标志物被选为全身免疫状态、肠道健康和代谢疾病的指标。因此,我们假设产羔前 TBC 的增加和分娩后 TBC 的减少是由其他全身的、可能是激素的过程引起的。为了降低 BMTBC 和批量牛奶 SCC,在泌乳末期,最好将产奶量最高的细菌和细胞的山羊奶从批量牛奶中分离出来。需要进一步研究来调查从大容量奶罐中扣留这种末期牛奶的效果。