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使用商业监测系统生成的产前警报与英国五个牛群经产奶牛的健康及生产结果之间的关联

Association between Prepartum Alerts Generated Using a Commercial Monitoring System and Health and Production Outcomes in Multiparous Dairy Cows in Five UK Herds.

作者信息

Cook John

机构信息

World Wide Sires, Yew Tree House, Carlisle, Cumbria CA1 3DP, UK.

出版信息

Animals (Basel). 2023 Oct 17;13(20):3235. doi: 10.3390/ani13203235.

Abstract

Identifying cows that are at greater risk for disease prior to calving would be a valuable addition to transition management. Prior to the commercial release of software features in an automated behavioral monitoring system, designed to identify cows in the dry period at greater risk of disease postpartum, a retrospective analysis was carried out in five dairy herds to evaluate whether the software could identify prepartum cows that subsequently received health treatments postpartum and whether prepartum alerts (transition alerts) are associated with a reduction in milk production in the subsequent lactation. Herd management and production records were analyzed for cows receiving treatment in the first 21 d of lactation (days in milk, DIM) for clinical mastitis, reproductive tract disease (metritis, retained fetal membranes), metabolic disease (hypocalcemia, ketosis and displaced abomasum) and for cows exiting the herd by 60 DIM. Data was gathered for 986 cows, 382 (38.7%) of which received a transition alert and 604 (61.3%) that did not. During the first 21 DIM 312 (31.6%) cows went on to receive a disease treatment, of these 51.9% ( = 162/312) were transition alert cows and 48.1% ( = 150/312) non-transition alert cows, while 8.6% ( = 33/382) alert cows exited the herd by 60 DIM compared to 4.8% ( = 29/604) of cows that did not receive an alert. A cow receiving a transition alert (OR = 1.76, 95% confidence interval (CI) = 1.27-2.44) and increasing parity (OR = 2.03, 95% CI = 1.44-2.86) were both associated with increased risk of receiving a disease treatment in the first 21 DIM. The occurrence of a transition alert was negatively associated with both week 4 milk yield (daily average yield in fourth week of lactation) and predicted 305 d yield. Transition alerts correctly predicted 62.5% (95% CI: 59.3-65.5) of treatments with a sensitivity of 42.4% (95% CI: 37.4-45.5) and a specificity of 75.2% (95% CI: 71.5-78.6). Associations were identified between postpartum health and production outcomes and prepartum behavioral measures from an automated activity monitoring system.

摘要

在产犊前识别出患病风险更高的奶牛,将是围产期管理的一项重要补充。在一个旨在识别干奶期患病风险更高的产后奶牛的自动行为监测系统的软件功能商业发布之前,对五个奶牛场进行了回顾性分析,以评估该软件是否能够识别出产后接受健康治疗的产前奶牛,以及产前警报(围产期警报)是否与随后泌乳期产奶量的减少有关。分析了在泌乳期的前21天(产奶天数,DIM)接受临床乳腺炎、生殖道疾病(子宫内膜炎、胎膜滞留)、代谢疾病(低钙血症、酮病和真胃移位)治疗的奶牛以及在60 DIM时离开牛群的奶牛的牛群管理和生产记录。收集了986头奶牛的数据,其中382头(38.7%)收到了围产期警报,604头(61.3%)没有收到。在泌乳期的前21天,312头(31.6%)奶牛继续接受疾病治疗,其中51.9%(=162/312)是围产期警报奶牛,48.1%(=150/312)是非围产期警报奶牛,而8.6%(=33/382)收到警报的奶牛在60 DIM时离开牛群,未收到警报的奶牛这一比例为4.8%(=29/604)。收到围产期警报的奶牛(比值比=1.76,95%置信区间(CI)=1.27 - 2.44)和胎次增加(比值比=2.03,95%CI = 1.44 - 2.86)都与在泌乳期的前21天接受疾病治疗的风险增加有关。围产期警报的出现与第4周产奶量(泌乳期第4周的日平均产量)和预测的305天产奶量均呈负相关。围产期警报正确预测了62.5%(95%CI:59.3 - 65.5)的治疗情况,敏感性为42.4%(95%CI:37.4 - 45.5),特异性为75.2%(95%CI:71.5 - 78.6)。在产后健康和生产结果与自动活动监测系统的产前行为指标之间发现了关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a63e/10603662/59eb8e4664f4/animals-13-03235-g001a.jpg

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