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泌乳早期经产荷斯坦奶牛乳成分的钙动力学及其相关的时间模式。

Calcium dynamics and associated temporal patterns of milk constituents in early-lactation multiparous Holsteins.

机构信息

Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.

College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853.

出版信息

J Dairy Sci. 2023 Oct;106(10):7117-7130. doi: 10.3168/jds.2022-23142. Epub 2023 May 18.

DOI:10.3168/jds.2022-23142
PMID:37210366
Abstract

At the onset of lactation, calcium (Ca) homeostasis is challenged. For the transitioning dairy cow, inadequate responses to this challenge may result in subclinical hypocalcemia at some point in the postpartum period. It has been proposed that dynamics of blood Ca and the timing of subclinical hypocalcemia allow cows to be classified into 4 Ca dynamic groups by assessing serum total Ca concentrations (tCa) at 1 and 4 days in milk (DIM). These differing dynamics are associated with different risks of adverse health events and suboptimal production. Our prospective cohort study aimed to characterize the temporal patterns of milk constituents in cows with differing Ca dynamics to investigate the potential of Fourier-transform infrared spectroscopic (FTIR) analysis of milk as a diagnostic tool for identifying cows with unfavorable Ca dynamics. We sampled the blood of 343 multiparous Holsteins on a single dairy in Cayuga County, New York, at 1 and 4 DIM and classified these cows into Ca dynamic groups using threshold concentrations of tCa (1 DIM: tCa <1.98 mmol/L; 4 DIM: tCa <2.22 mmol/L) derived from receiver operating characteristic curve analysis based on epidemiologically relevant health and production outcomes. We also collected proportional milk samples from each of these cows from 3 to 10 DIM for FTIR analysis of milk constituents. Through this analysis we estimated the milk constituent levels of anhydrous lactose (g/100 g of milk and g/milking), true protein (g/100 g of milk and g/milking), fat (g/100 g of milk and g/milking), milk urea nitrogen (mg/100 g of milk), fatty acid (FA) groups including de novo, mixed origin, and preformed FA measured in grams/100 g of milk, by relative percentage, and grams/milking, as well as energy-related metabolites including ketone bodies and milk-predicted blood nonesterified FA. Individual milk constituents were compared among groups at each time point and over the entire sample period using linear regression models. Overall, we found differences among the constituent profiles of Ca dynamic groups at approximately every time point and over the entire sample period. The 2 at-risk groups of cows did not differ from each other at more than one time point for any constituent, however prominent differences existed between the milk of normocalcemic cows and the milk of the other Ca dynamic groups with respect to FA. Over the entire sample period, lactose and protein yield (g/milking) were lower in the milk of at-risk cows than in the milk of the other Ca dynamic groups. In addition, milk yield per milking followed patterns consistent with previous Ca dynamic group research. Though our use of a single farm does limit the general applicability of these findings, our conclusions provide evidence that FTIR may be a useful method for discriminating between cows with different Ca dynamics at time points that may be relevant in the optimization of management or development of clinical intervention strategies.

摘要

在哺乳期开始时,钙(Ca)的内环境稳定受到挑战。对于正在过渡的奶牛来说,如果不能很好地应对这一挑战,可能会在产后的某个时候出现亚临床低钙血症。有人提出,血液 Ca 的动态变化和亚临床低钙血症的发生时间可以通过在产后 1 天和 4 天测量血清总钙浓度(tCa),将奶牛分为 4 种 Ca 动态组。这些不同的动态变化与不同的健康不良事件风险和生产性能不佳有关。我们的前瞻性队列研究旨在描述不同 Ca 动态奶牛的乳汁成分的时间模式,以研究傅里叶变换红外光谱(FTIR)分析乳汁作为识别具有不利 Ca 动态奶牛的诊断工具的潜力。我们在纽约州卡尤加县的一个单一奶牛场采集了 343 头经产荷斯坦奶牛的血液,分别在产后 1 天和 4 天进行了检测,并使用基于与流行病学相关的健康和生产结果的 tCa (1 天:tCa <1.98 mmol/L;4 天:tCa <2.22 mmol/L)的接收者操作特征曲线分析的阈值浓度,对这些奶牛进行 Ca 动态分组。我们还从这些奶牛的第 3 天到第 10 天收集了比例乳汁样本,用于 FTIR 分析乳汁成分。通过这项分析,我们估计了无水乳糖(g/100 g 奶和 g/挤奶)、真蛋白(g/100 g 奶和 g/挤奶)、脂肪(g/100 g 奶和 g/挤奶)、牛奶尿素氮(mg/100 g 奶)、脂肪酸(FA)组的奶成分水平,包括新合成的、混合来源的和预形成的 FA,以 g/100 g 奶、相对百分比和 g/挤奶的形式表示,以及包括酮体和牛奶预测的非酯化 FA 在内的能量相关代谢物。使用线性回归模型在每个时间点和整个样本期内比较各组之间的个体乳汁成分。总的来说,我们发现 Ca 动态组的成分谱在大约每个时间点和整个样本期都存在差异。然而,在任何一个时间点,2 个风险奶牛组之间的任何成分都没有差异,然而,与其他 Ca 动态组的牛奶相比,正常血钙奶牛的牛奶在 FA 方面存在明显差异。在整个样本期内,风险奶牛的乳糖和蛋白质产奶量(g/挤奶)均低于其他 Ca 动态组。此外,每挤奶的产奶量遵循与之前 Ca 动态组研究一致的模式。尽管我们只使用了一个农场,这限制了这些发现的普遍适用性,但我们的结论提供了证据,表明 FTIR 可能是一种有用的方法,可以在与管理优化或临床干预策略开发相关的时间点,区分具有不同 Ca 动态的奶牛。

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