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Development and initial validation of a dairy biological risk management assessment tool

机译:乳制品生物风险管理评估工具的开发和初步验证

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摘要

Disease prevention protocols on dairies, either aimed at keeping disease out (biosecurity), preventing spread of disease on the farm (biocontainment), or reducing the infectious burden have always been a concern. There are a myriad of recommendations available to dairy producers to help minimize disease threats. Dairy operations differ in management style and tolerance of risk, thus there is not a one–size–fits–all answer to minimize disease entry and spread. Risks must first be identified before they can be managed.Dairy biological risk management (BRM) materials were developed to educate producers and their advisors about identifying disease risk management practices and preventing disease entry and spread to the animals in their care using the concepts of risk analysis: risk perception, risk assessment, risk management and risk communication. The BRM toolbox contains a background document reviewing published disease management protocols for dairy operations, risk management assessment questions to identify various strengths and weaknesses of disease introduction and spread, management protocols for each identified risk, and risk communication tools, all based on disease prevention through five routes of transmission (aerosol, direct contact, fomite, oral and vector-borne). The outcome was a set of peer-reviewed resources available online, free of charge, for dairy producers and their advisors to utilize.One objective of this study was to report the current biological risk management practices of California and Midwest dairies of different sizes and management styles. This was accomplished by ascertaining producer-reported prevention practices through on-farm interviews utilizing two questionnaires on 80 dairy operations in California and the Midwest. Herd size ranged from 92 to 3,550 head (average 772). There were 64 Holstein herds, seven Jersey herds, one Guernsey herd and eight mixed herds. Production (305 day mature equivalent) ranged from 15,564 to 30,586 pounds (average 24,113) and somatic cell count (SCC) ranged from 110,000 to 954,000 cells/mL (average 284,873).Reported management practices on a majority of the dairy operations included examining all feedstuffs closely for manure, mold, foreign material, and overall quality (95%), investigating animals that will not eat or do not consume all of their feed (95%), humanely and promptly euthanizing animals that are not going to recover (93.7%), keeping stalls clean (scraped at least one time daily) (92.3%), inspecting animals daily for signs of illness (90.0%), keeping alley ways clean (scraped or flushed at least one time daily) (87.5%), knowing the origin of all replacement heifers (86.3%), having a fly control program (81.3%), and regularly maintaining the dry lot area to prevent manure buildup and areas of stagnant water (80.0%).The top three responses for the biggest perceived disease risk/challenge included mastitis—all types (30 herds), FMD (11 herds), and Johne\u27s disease (nine herds). Most farms (70%) introduced animals and the highest SCC were in the herds that introduced lactating and dry cows. Very few of the herds had isolation facilities (22.5%) or utilized quarantine (22.0%) for newly introduced or returning animals. Visitors were reported to exceed 10 per week on 60% of the operations yet only 30% had any type of protocol regarding boots, animal contact, or signing a visitor log. Only 16.3% of dairies utilized their veterinarian\u27s training and skills to necropsy animals that died of undetermined causes.A majority of dairy operations (71.3%) complied with removing calves at birth prior to nursing. Only 36.3% of herds reported collecting colostrum within 2 hours of calving but nearly 74% of herds fed colostrum by six hours of age. Thirty-five herds (43.7%) in this study pooled colostrum from multiple cows; large herds (\u3e506 head) were more than twice as likely to pool colostrum as compared to smaller (\u3c505 head) herds.Scientific data that correlates management practices to production parameters is sparse. The overarching goal of this project was to identify disease prevention practices that correlated with positive outcomes on dairy operations (higher milk production, lower somatic cell count). Introducing animals to a herd did not prove significant when multiple prevention practices were included in the final model, but it remains a critical control point as an independent prevention practice for both milk production and quality.Prevention practices that correlated with higher milk production and lower somatic cell count included management styles characterized as ’attention to detail’. For instance, fly control, having a SCC less than 200,000 cells/mL, inspecting animals daily, cleaning alleyways, and preventing young animals from contacting manure from older animals were associated with higher than breed average 305 day mature equivalent milk production. The four disease prevention practices that were associated with a lower SCC included removing calves at birth prior to nursing, collecting colostrum within two hours of calving, giving a second dose (1/2 to y gallon) of colostrum 12 hours after the first feeding, and having a fly control program.
机译:奶牛场的疾病预防方案,旨在防止疾病(生物安全性),防止疾病在农场中传播(生物遏制)或减轻传染性负担,一直是人们关注的问题。乳制品生产商有无数的建议可帮助最大限度地减少疾病威胁。乳业的经营方式和风险承受能力各不相同,因此没有一个统一的解决方案来最大限度地减少疾病的传播和扩散。必须先识别风险,然后才能进行管理。开发了乳制品生物风险管理(BRM)材料,以教育生产者及其顾问如何确定疾病风险管理方法,并使用风险概念来预防疾病进入并传播到其护理动物中分析:风险感知,风险评估,风险管理和风险沟通。 BRM工具箱包含一个背景文件,该文件回顾了已发布的乳业运营疾病管理协议,风险管理评估问题以识别疾病引入和传播的各种优缺点,每种已识别风险的管理协议以及风险交流工具,所有这些均基于通过疾病预防的方式五种传播途径(气雾剂,直接接触,螨虫,口服和媒介传播)。结果是一组免费的在线同行评审资源,供乳制品生产商及其顾问使用。本研究的目的是报告不同规模和管理方式的加利福尼亚和中西部奶牛场的当前生物风险管理做法。样式。这是通过使用两份关于加利福尼亚州和中西部地区80家乳业运营的调查表的农场访谈,确定生产者报告的预防措施来实现的。牛群大小从92头到3,550头(平均772头)。有荷斯坦牛群64个,泽西岛牛群7个,根西岛牛群1个,杂种牛群8个。产量(305天成熟当量)为15,564至30,586磅(平均24,113磅),体细胞计数(SCC)为110,000至954,000个细胞/毫升(平均284,873)。报告的大多数乳制品经营管理实践包括检查所有密切注意饲料中的粪便,霉菌,异物和整体质量(95%),调查不会进食或不消耗其所有饲料的动物(95%),人道地并立即对不会恢复的动物实施安乐死(93.7) %),保持摊位清洁(每天至少刮擦一次)(92.3%),每天检查动物是否有疾病迹象(90.0%),保持小巷清洁(每天至少刮擦一次或冲洗一次)(87.5%),了解所有替代小母牛的起源(86.3%),制定防蝇计划(81.3%)并定期维护干地面积以防止粪便积聚和积水(80.0%)。感知的疾病风险/挑战包括乳脂是-所有类型(30个畜群),FMD(11个畜群)和Johne \ u27s病(9个畜群)。大多数农场(70%)引入了动物,而引入泌乳和干奶牛的牛群中的SCC最高。很少有牛群具有隔离设施(22.5%)或为新近引进或归还的动物利用检疫隔离(22.0%)。据报告,在60%的操作中,访客每周超过10人,但只有30%的人具有有关靴子,动物接触或签署访客日志的任何协议。只有16.3%的奶牛场使用了他们的兽医培训和技能对死因不明的死者进行尸检。大多数乳业(71.3%)都要求在哺乳前在出生时摘除犊牛。只有36.3%的牛群报告在产犊后2小时内收集了初乳,但近74%的牛群在6小时龄前喂了初乳。在这项研究中,有35头牛群(43.7%)汇集了多头母牛的初乳。与较小的牛群相比,大牛群(\ u3e506头)收集初乳的可能性是其两倍。科学的数据将管理实践与生产参数相关联。该项目的总体目标是确定与乳业运营的积极成果(较高的牛奶产量,较低的体细胞计数)相关的疾病预防措施。当最终模型中包含多种预防措施时,将动物引入畜群并没有明显意义,但作为牛奶生产和质量的独立预防措施,这仍然是关键的控制点。与较高的牛奶产量和较低的体细胞相关的预防措施单元数包括以“注重细节”为特征的管理风格。例如,苍蝇控制,SCC低于200,000个细胞/ mL,每天检查动物,清洁小巷,以及防止年幼动物接触年长动物的粪便与高于平均305天成熟当量牛奶产量相关。与SCC较低有关的四种疾病预防措施包括:在哺乳前在出生时摘除犊牛,在产犊后两个小时内收集初乳,在第一次喂奶后12小时给予第二剂初乳(1/2至y加仑),并有一个飞行控制程序。

著录项

  • 作者

    Bickett-weddle, Danelle;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类
  • 入库时间 2022-08-20 20:23:39

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