Usefulness of differential somatic cell count for udder health monitoring: Association of differential somatic cell count and somatic cell score with quarter-level milk yield and milk components

IF 3.7 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Mariana Fonseca , Daryna Kurban , Jean-Philippe Roy , Débora E. Santschi , Elouise Molgat , Simon Dufour
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引用次数: 0

Abstract

Mastitis is the most common disease affecting dairy cattle and is associated with substantial milk loss. Somatic cell count has been widely used as an indicator of udder inflammation (e.g., subclinical mastitis). More recently, differential somatic cell count (DSCC) has become available as an auxiliary tool for milk quality control, with the potential to indicate different stages of inflammation when combined with SCC. This paper aimed to investigate the association of SCS and DSCC with milk yield and milk components at the quarter level. A convenience sample of 5 dairy herds using an automated milking system (AMS) was selected and visited every other week for milk sample collection. Fat, protein, and lactose content were analyzed at Lactanet (Canadian Network for Dairy Excellence, Sainte-Anne-de-Bellevue, Quebec, Canada) by mid-infrared spectroscopy using a MilkoScan FT6000. Determination of SCC and DSCC was also performed by Lactanet using a CombiFoss 7 DC instrument. Milk yield data were retrieved from the AMS. Given the hierarchical structure of the data, a linear mixed model was built with either milk yield or milk components as the outcomes. The results showed that elevated SCS, in combination with lower proportions of DSCC, was associated with the highest milk loss for primiparous and multiparous cows. For instance, the estimated milk loss for a quarter with a SCS of 7 and a DSCC of 55% was 1.45 kg/d compared with a quarter with a SCS of 2 and DSCC of 65% in multiparous cows. The association was similar when the outcome was the lactose content. Quarters with elevated SCS and lower DSCC had the lowest lactose percentage. No notable changes in fat content were observed across different SCS levels in multiparous cows, and quarters with higher DSCC had the lowest fat percentage in primiparous and multiparous cows. Protein content tended to be lower in quarters with increased SCS and low DSCC. In quarters from primiparous cows with DSCC levels above 70%, protein content showed slight variation across SCS levels. For multiparous cows, however, protein content remained relatively stable across different SCS and DSCC levels. In conclusion, our findings revealed that the combination of elevated SCS and low DSCC was associated with the most substantial milk loss. These results could be used to optimize udder health management.
差异体细胞计数对乳腺健康监测的有用性:差异体细胞计数和体细胞评分与四分之一水平产奶量和乳成分的关联
乳腺炎是影响奶牛的最常见疾病,与大量的乳汁流失有关。体细胞计数(SCC)已被广泛用作乳房炎症(如亚临床乳腺炎)的指标。最近,差异体细胞计数(DSCC)已成为牛奶质量控制的辅助工具,当与SCC结合时,具有指示炎症不同阶段的潜力。本文旨在研究体细胞评分(SCS)和DSCC与产奶量和乳成分在四分之一水平上的关系。选择5个使用自动挤奶系统(AMS)的奶牛群作为方便样本,每隔一周访问一次采集牛奶样本。脂肪、蛋白质和乳糖含量在Lactanet (Canadian Network for Dairy Excellence, Sainte-Anne-de-Bellevue, Quebec, Canada)使用MilkoScan FT6000中红外光谱仪进行分析。采用comifoss 7直流仪器,采用Lactanet进行SCC和DSCC的测定。产奶量数据从AMS检索。考虑到数据的层次结构,建立了以产奶量或牛奶成分为结果的线性混合模型。结果表明,初产和多产奶牛的泌乳损失最高与体细胞评分(SCS)升高和DSCC比例降低有关。例如,与四分之一SCS为7、DSCC为55%的产奶牛相比,四分之一SCS为2、DSCC为65%的产奶牛的产奶量估计为1.45公斤/天。当结果是乳糖含量时,这种关联是相似的。高SCS和低DSCC的四分之一乳糖百分比最低。不同SCS水平的产牛脂肪含量变化不显著,DSCC较高的产牛和初产牛的脂肪率最低。籽粒蛋白质含量随着籽粒SCS的增加和籽粒DSCC的降低而降低。在DSCC水平高于70%的初产奶牛的季度中,蛋白质含量在不同的SCS水平上略有差异。然而,对于多产奶牛,蛋白质含量在不同SCS和DSCC水平下保持相对稳定。总之,我们的研究结果表明,高SCS和低DSCC的结合与最大量的乳汁流失有关。这些结果可用于优化乳房健康管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
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