A retrospective cohort study investigating the association of postcalving intramammary infection and milk yield, somatic cell count, clinical mastitis, and culling risk in first-lactation dairy cows

IF 4.4 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Dairy Science Pub Date : 2025-04-01 Epub Date: 2025-03-04 DOI:10.3168/jds.2024-25673
A. Singh, H. Somula, M. Wieland
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Abstract

The objective of this study was to investigate the association of postcalving IMI with milk production and SCC during the first 3 test days after calving, as well as the risk of clinical mastitis occurrence and culling within the first 100 DIM in first-lactation Holstein dairy cows. This retrospective cohort study was conducted at one commercial dairy farm in New York. Postcalving IMI was assessed by means of bacteriological testing of composite milk sample aseptically obtained from all quarters at the day of calving or between 7 and 13 DIM. Data on monthly test-day milk yield and SCC, as well as on the occurrence of clinical mastitis and culling within the first 100 DIM were retrieved from the farm management software. We used generalized linear mixed models to study the associations of postcalving IMI with milk yield and SCC. We found that cows with an IMI with Pasteurella multocida had lower milk yields compared with those without a postcalving IMI, whereas cows with an IMI with Staphylococcus chromogenes had higher milk yields. Similarly, cows infected with Staphylococcus aureus, Staphylococcus chromogenes, Staphylococcus simulans, Streptococcus dysgalactiae, Streptococcus uberis, or Pasteurella multocida had higher SCC compared with their culture-negative herdmates. Logistic regression analyses revealed associations between postcalving IMI and the occurrence of clinical mastitis and culling within the first 100 DIM. Compared with cows without a postcalving IMI, the odds ratio and 95% CI of clinical mastitis were 4.00 (2.76–5.79) for cows with a Streptococcus dysgalactiae IMI, 4.45 (3.16–6.26) for cows with a Streptococcus uberis IMI, and 9.87 (4.88–19.96) for cows with a Pasteurella multocida IMI. Cows identified with an IMI with Staphylococcus aureus, Streptococcus dysgalactiae, Streptococcus uberis, or Pasteurella multocida had higher odds of culling within the first 100 DIM compared with their culture-negative herdmates. The odds ratios (95% CI) were Staphylococcus aureus, 6.36 (4.44–9.13); Streptococcus dysgalactiae, 2.02 (1.42–3.40); Streptococcus uberis, 2.12 (1.40–3.20), and Pasteurella multocida, 2.23 (1.01–4.93). Due to the lack of molecular strain typing of postcalving cultures and those obtained from clinical mastitis cases, we cannot infer a cause-effect relationship. Future research to study the significance and identify possible risk factors of postcalving IMI in first-lactation animals is warranted.
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一项回顾性队列研究调查了产犊后乳内感染与产奶量、体细胞计数、临床乳腺炎和首次泌乳奶牛扑杀风险的关系。
本研究的目的是研究产犊后IMI与泌乳后头3天产奶量和SCC的关系,以及首次泌乳的荷斯坦奶牛在头100天内临床乳腺炎发生和淘汰的风险。这项回顾性队列研究是在纽约一家商业奶牛场进行的。产犊后IMI通过对产犊当天或7 - 13只DIM之间从各个地方无菌获得的复合乳样品进行细菌学检测来评估。每月试验日产奶量和SCC数据,以及前100只DIM内临床乳腺炎的发生和剔除数据从养殖场管理软件中检索。我们使用广义线性混合模型来研究产犊后IMI与产奶量和SCC的关系。我们发现,与产犊后未患IMI的奶牛相比,患有多杀性巴氏杆菌IMI的奶牛产奶量较低,而患有染色葡萄球菌IMI的奶牛产奶量较高。同样,感染了金黄色葡萄球菌、显色葡萄球菌、拟葡萄球菌、泌乳不良链球菌、uber链球菌或多杀性巴氏杆菌的奶牛,其SCC也高于其培养阴性的牛群。Logistic回归分析显示,产犊后IMI与前100头DIM内临床乳腺炎的发生和扑杀存在相关性。与未产犊后IMI奶牛相比,产犊后IMI乳腺炎的优势比和95% CI分别为4.00(2.76 ~ 5.79)、4.45(3.16 ~ 6.26)和9.87(4.88 ~ 19.96)。与培养阴性的牛群相比,被鉴定出带有金黄色葡萄球菌、乳糖不良链球菌、ubercoccus或多杀性巴氏杆菌的IMI的奶牛在前100只DIM中被淘汰的几率更高。优势比(95% CI)为金黄色葡萄球菌,6.36 (4.44-9.13);泌乳不良链球菌,2.02 (1.42-3.40);ubercoccus, 2.12 (1.40-3.20), Pasteurella, 2.23(1.01-4.93)。由于缺乏产犊后培养物和临床乳腺炎病例的分子菌株分型,我们不能推断出因果关系。未来有必要研究首次哺乳动物产犊后IMI的意义和确定可能的危险因素。
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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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