Desidera F, Skeie S B, Devold T G, Inglingstad R A, Porcellato D
Faculty of Chemistry, Biotechnology and Food Science (KBM), Norwegian University of Life Sciences, N-1432 Ås, Norway.
Faculty of Chemistry, Biotechnology and Food Science (KBM), Norwegian University of Life Sciences, N-1432 Ås, Norway.
J Dairy Sci. 2025 Jan;108(1):152-163. doi: 10.3168/jds.2024-25310. Epub 2024 Sep 27.
Somatic cell count is used by the dairy industry as an indicator of milk quality and udder health. However, in goats, its reliability is significantly masked by noninfectious variables such as the milk secretion process and physiological lactation changes. Additionally, notable individual variability between goats might exist. This study aimed to investigate fluctuations in SCC in individual goats during an entire lactation and to examine the relationship between SCC and milk parameters such as bacterial count and chemical composition. Individual milk samples from 40 Norwegian dairy goats from the university herd were collected monthly across an entire lactation including the pasture period. The goats were categorized based on SCC levels to analyze patterns in chemical components within these groups. Notably, goats exhibited increased SCC and decreased bacterial counts when moved to summer grazing pastures. At that stage, milk samples from goats with the highest SCC (>2,000 × 10 cells/mL) showed a distinct decrease in individual bacterial counts. The SCC level affected several milk components (especially lactose, protein, and various minerals), as well as pH. These effects were further amplified when considering the interaction with the lactation stage, influencing a broader range of variables. The results presented in this study provide new insights into the effect of SCC on milk composition and its critical role. These insights underscore the necessity for establishing lactation-specific thresholds for interpretation, as well as for making adjustments in quality payments.
体细胞计数被乳制品行业用作牛奶质量和乳房健康的指标。然而,在山羊中,其可靠性被诸如乳汁分泌过程和生理泌乳变化等非感染性变量显著掩盖。此外,山羊之间可能存在显著的个体差异。本研究旨在调查个体山羊在整个泌乳期内体细胞计数的波动情况,并研究体细胞计数与细菌计数和化学成分等牛奶参数之间的关系。在整个泌乳期(包括放牧期)每月从大学畜群中的40只挪威奶山羊采集个体牛奶样本。根据体细胞计数水平对山羊进行分类,以分析这些组内化学成分的模式。值得注意的是,山羊在转移到夏季放牧牧场时,体细胞计数增加,细菌计数减少。在那个阶段,体细胞计数最高(>2000×10个细胞/毫升)的山羊的牛奶样本中个体细菌计数明显下降。体细胞计数水平影响了几种牛奶成分(尤其是乳糖、蛋白质和各种矿物质)以及pH值。当考虑到与泌乳阶段的相互作用时,这些影响会进一步放大,影响更广泛的变量。本研究呈现的结果为体细胞计数对牛奶成分的影响及其关键作用提供了新的见解。这些见解强调了建立特定于泌乳期的解释阈值以及调整质量报酬的必要性。