Changes in the Johne’s disease situation in GB dairy herds over 10 years, as revealed by regular milk ELISA data

IF 2.2 2区 农林科学 Q1 VETERINARY SCIENCES
Emma Nicole Taylor , Kulwant Channa , Pete Guy Orpin , James Hanks , Nicholas Mark Taylor
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引用次数: 0

Abstract

Effective management of cattle infected with Johne’s Disease (JD) is crucial to minimizing transmission and within-herd prevalence. Within Great Britain (GB), the voluntary National Johne’s Management Plan (NJMP) requires farmers and a certified vet to conduct a risk assessment to determine the herd risk, examine the herd JD status and formulate a management plan. Individual milk ELISA tests for JD antibodies are widely used to monitor infection. The JD Tracker application, available within the dairy data management software InterHerd+ and other web-based environments, is being used by farmers and veterinarians to facilitate the practical use of milk ELISA data to aid JD-related management decisions. The JD Tracker application uses a herd’s milk ELISA data to calculate a collection of ‘JD parameters’ that are indicative of the current JD status of the herd alongside contemporary and retrospective drivers linked to transmission and maintenance of infection. Herein, we use milk ELISA data from 154 regularly testing herds to review the temporal trends in JD parameters from 2013 to 2022. Since 2015, JD Tracker parameters have improved in these herds, most notably average test value (ATV) and within-herd prevalence (%Pos30). Trends in driver parameters suggest that farmers are progressively less likely to serve repeat test-positive (J5) cows and are more readily removing them. The data also reveal that the burden of JD is disproportionately greater in herds with higher ATV. In 2022, the 25 % of herds with the highest ATVs accounted for 42 % of positive tests and 42 % of repeat ELISA positive (J5) cows. Retrospectively, it is not possible to identify with certainty factors that directly contributed to the trends in JD parameters, but it is notable that the introduction of the NJMP was coincided with the improving JD situation. In 2019, participation in the NJMP or an equivalent scheme became mandatory for dairy farms to be compliant with the food and farms standards assurance scheme Red Tractor, with the result that JD management plans are now completed by 95 % of UK dairy farms. As far as we know, the UK is unique in its development of a tool (the JD Tracker) which adds utility to milk ELISA data using specifically designed JD parameters. Anticipated further work includes the development of a national database of JD testing herds and application of the JD Tracker at national scale to enable more comprehensive industry-level monitoring of JD within GB dairy farms.

定期牛奶酶联免疫吸附试验数据揭示的英国奶牛场约翰氏病情况 10 年间的变化
对感染约翰氏病 (JD) 的牛进行有效管理对于最大限度地减少传播和牛群内部流行至关重要。在大不列颠(GB),自愿性的国家强直性脊柱炎管理计划(NJMP)要求牧场主和认证兽医进行风险评估,以确定牛群风险、检查牛群的强直性脊柱炎状况并制定管理计划。针对JD抗体的单个牛奶ELISA检测被广泛用于监测感染情况。牧场主和兽医正在使用乳业数据管理软件 InterHerd+ 和其他网络环境中的 JD Tracker 应用程序,以促进牛奶 ELISA 数据的实际使用,帮助做出与 JD 相关的管理决策。JD Tracker 应用程序使用牛群的牛奶 ELISA 数据计算一系列 "JD 参数",这些参数表明牛群当前的 JD 状况,以及与感染传播和维持相关的当代和回顾性驱动因素。在此,我们使用来自 154 个定期检测牛群的牛奶 ELISA 数据,回顾了 2013 年至 2022 年期间 JD 参数的时间趋势。自 2015 年以来,这些牛群的 JD 跟踪参数有所改善,其中最显著的是平均检测值 (ATV) 和牛群内流行率 (%Pos30)。驱动参数的变化趋势表明,牧场主越来越不愿意饲养重复检测呈阳性(J5)的奶牛,而更愿意淘汰这些奶牛。数据还显示,在ATV较高的牛群中,JD的负担不成比例地加重。2022 年,在 ATV 最高的 25% 牛群中,42% 的检测呈阳性,42% 的重复 ELISA 阳性(J5)奶牛。回顾过去,我们无法确定哪些因素直接导致了JD参数的变化趋势,但值得注意的是,NJMP的引入与JD状况的改善相吻合。2019 年,奶牛场必须参加 NJMP 或同等计划,才能符合食品和农场标准保证计划 Red Tractor 的要求,因此目前 95% 的英国奶牛场都完成了 JD 管理计划。据我们所知,英国独一无二地开发了一种工具(JD 跟踪器),利用专门设计的 JD 参数为牛奶 ELISA 数据增加效用。预计开展的进一步工作包括开发全国JD检测牧群数据库,以及在全国范围内应用JD跟踪器,以便对英国奶牛场内的JD进行更全面的行业级监测。
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来源期刊
Preventive veterinary medicine
Preventive veterinary medicine 农林科学-兽医学
CiteScore
5.60
自引率
7.70%
发文量
184
审稿时长
3 months
期刊介绍: Preventive Veterinary Medicine is one of the leading international resources for scientific reports on animal health programs and preventive veterinary medicine. The journal follows the guidelines for standardizing and strengthening the reporting of biomedical research which are available from the CONSORT, MOOSE, PRISMA, REFLECT, STARD, and STROBE statements. The journal focuses on: Epidemiology of health events relevant to domestic and wild animals; Economic impacts of epidemic and endemic animal and zoonotic diseases; Latest methods and approaches in veterinary epidemiology; Disease and infection control or eradication measures; The "One Health" concept and the relationships between veterinary medicine, human health, animal-production systems, and the environment; Development of new techniques in surveillance systems and diagnosis; Evaluation and control of diseases in animal populations.
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