畜牧兽医学报 ›› 2013, Vol. 44 ›› Issue (6): 972-979.doi: 10.11843/j.issn.0366-6964.2013.06.021

• 临床兽医 • 上一篇    下一篇

奶牛乳房炎的细菌感染与奶中体细胞数及乳成分的关系

甘宗辉1,杨章平1*,李云龙1,毛永江1,刘贤慧1,陈飞2   

  1. (1.扬州大学动物科学与技术学院,扬州 225009;2.上海牛奶集团海丰奶牛场有限公司,大丰 224100)
  • 收稿日期:2012-10-23 出版日期:2013-06-23 发布日期:2013-06-23
  • 通讯作者: 杨章平(1965-),男,教授,博士生导师,E-mail: yzp@yzu.edu.cn
  • 作者简介:甘宗辉(1986- ),男,山东滕州市,硕士研究生,主要从事畜产品安全与环境控制研究,E-mail: x_iaoxiao@yahoo.cn
  • 基金资助:

    国家自然科学基金(3127407);国家863项目(2008AA10Z144);江苏高校优势学科建设工程资助项目(PAPD)

Relationship of Bacterial Infection with Somatic Cell Count and Milk Composition in Dairy Cows with Mastitis

GAN Zong-hui1, YANG Zhang-ping1*, LI Yun-long1, MAO Yong-jiang1, LIU Xian-hui1, CHEN Fei2   

  1. (1. Animal Science and Technology College, Yangzhou University, Yangzhou 225009, China;2. Haifeng Dairy Cattle Farm, Shanghai Dairy Group, Dafeng 224100, China
  • Received:2012-10-23 Online:2013-06-23 Published:2013-06-23

摘要:

为探索奶牛乳房炎的发病程度、细菌感染模式、菌落总数、乳成分、体细胞数之间的关系,对187头不同乳房炎发病程度的奶牛,利用鉴别培养基和平板计数法分别进行细菌感染模式鉴定和菌落总数计数,并同步进行隐性乳房炎检测和DHI检测,利用单因素方差分析,对以上因素进行研究。结果表明:(1)不同的细菌感染模式对乳蛋白率、乳脂率和体细胞数的影响不显著(P>0.05),对测定日产奶量的影响显著(P<0.05);(2)菌落总数对乳蛋白率影响不显著(P>0.05),对日产奶量、乳脂率、体细胞数的影响极显著(P<0.01);(3)同种细菌感染的模式下,不同的菌落总数含量对测定日产奶量、乳脂、乳蛋白率均有显著(P<0.05)的影响,对体细胞数的影响极显著(P<0.01);(4)不同等级的乳房炎感染情况对体细胞数、日产奶量、乳脂率、乳蛋白率、菌落总数影响均显著(P<0.05);(5)体细胞数对测定日产奶量和乳脂率、乳蛋白率的影响差异极显著(P<0.01)。结果提示:菌落总数是奶牛受细菌侵染的主要指标,细菌的感染模式对乳成分及SCC没有显著影响,乳房炎的感染程度及体细胞数对乳成分有显著影响,生产上可以利用体细胞数和菌落总数监控奶牛场乳房炎风险及乳成分的变化。

Abstract:

 To explore the relationships of the degree of mastitis, total bacteria count, and bacterial infection pattern with milk composition and somatic cell count, the identifying medium and plate counting method were used for identification of bacteria and total bacteria count, and subclinical mastitis and dairy herd improvement (DHI) were also tested in 187 dairy cows with different degree of mastitis in this experiment. The results showed that: 1) Patterns of bacterial infection exerted insignificant effects on somatic cell count, milk protein and fat rate (P>0.05), but had significant impact on the determination of daily milk yields (P<0.05); 2) Total bacteria count had no significant effect on protein content (P>0.05), but had extremely significant effect (P<0.01) on daily milk yield, milk fat content and somatic cell count; 3) Under the same bacterial infection pattern, total bacteria count had significant impact (P<0.05) on the determination of daily milk yields, somatic cell count, milk protein and fat content; 4) the degree of mastitis had significant effect (P<0.05) on somatic cell count, daily milk yield, milk fat and protein content, and the total bacteria count; 5)The somatic cell count had extremely significant effect (P<0.01) on daily milk yield milk fat and protein content. These findings demonstrated that pattern of bacterial infection exerted insignificant effects on somatic cell count, and the degree of mastitis and somatic cell count had significant effect on milk component. We could use somatic cell count and the total number of colonies to monitor the mastitis risks and the possible changes in milk composition.

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