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规模化养殖场与散养户奶牛隐性乳房炎与主要病原菌感染情况调查

Incidence of subclinical mastitis and prevalence of major mastitis pathogens in organized farms and unorganized sectors.

机构信息

Veterinary College, Karnataka Veterinary, Animal and Fisheries Sciences University, Hebbal, 560024 Bengaluru India ; Institute of Animal Health & Veterinary Biologicals, Hebbal, 560024 Bengaluru India.

Veterinary College, Karnataka Veterinary, Animal and Fisheries Sciences University, Hebbal, 560024 Bengaluru India.

出版信息

Indian J Microbiol. 2013 Sep;53(3):315-20. doi: 10.1007/s12088-012-0336-1. Epub 2012 Nov 23.

Abstract

Subclinical mastitis (SCM) represents a major proportion of the burden of mastitis. Determining somatic cell count (SCC) and electrical conductivity (EC) of milk are useful approaches to detect SCM. In order to correlate grades of SCM with the load of five major mastitis pathogens, 246 milk samples from a handful of organized and unorganized sectors were screened. SCC (>5 × 10(5)/mL) and EC (>6.5 mS/cm) identified 110 (45 %) and 153 (62 %) samples, respectively, to be from SCM cases. Randomly selected SCM-negative samples as well as 186 samples positive by either SCC or EC were then evaluated for isolation of five major mastitis-associated bacteria. Of the 323 isolates obtained, 95 each were S. aureus and coagulase-negative staphylococci (CoNS), 48 were E. coli and 85 were streptococci. There was no association between the distribution of organisms and (a) the different groups of SCC, or (b) organised farms and unorganised sectors. By contrast, there was a significant difference in the distribution of CoNS, and not other species, between organized farms and unorganized sectors. In summary, bacteria were isolated irrespective of the density of somatic cells or the type of farm setting, and the frequency of isolation of CoNS was higher with organized farms. These results suggest the requirement for fine tuning SCC and EC limits and the higher probability for CoNS to be associated with SCM in organized diary sectors, and have implications for the identification, management and control of mastitis in India.

摘要

隐性乳房炎(SCM)是乳房炎负担的主要组成部分。测定牛奶体细胞计数(SCC)和电导率(EC)是检测 SCM 的有用方法。为了将 SCM 程度与五种主要乳房炎病原体的负荷相关联,对来自一些有组织和无组织部门的 246 份牛奶样本进行了筛选。SCC(>5×10(5)/mL)和 EC(>6.5 mS/cm)分别识别出 110(45%)和 153(62%)份来自 SCM 病例的样本。然后,随机选择 SCC 阴性样本以及 SCC 或 EC 阳性的 186 份样本,以评估五种主要与乳房炎相关的细菌的分离情况。在所获得的 323 个分离株中,金黄色葡萄球菌和凝固酶阴性葡萄球菌(CoNS)各有 95 株,大肠杆菌有 48 株,链球菌有 85 株。这些分离株的分布与(a)不同的 SCC 组,或(b)有组织的农场和无组织的部门之间没有关联。相比之下,在有组织的农场和无组织的部门之间,CoNS 的分布存在显著差异,而其他物种则没有。总之,无论体细胞密度或农场类型如何,都可以分离出细菌,而 CoNS 的分离频率在有组织的奶牛场更高。这些结果表明需要微调 SCC 和 EC 限值,并且 CoNS 更有可能与有组织的牛奶场的 SCM 相关联,这对印度乳房炎的鉴定、管理和控制具有影响。

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