亚临床乳腺炎对荷尔斯坦牛的自动奶系统数据,血液学和生物化学参数以及牛奶成分的影响
Mooyoung Jung1, Seogjin Kang1, Eunjeong Jeon1
1National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Animal bioscience
|August 30, 2024
概括
通过对自动挤奶系统 (AMS) 进行牛奶产量和电导率 (EC) 变化的监测,可以早期检测奶牛的亚临床乳腺炎. 这些变化与疾病发病时的特定血液和牛奶成分变化相关.
科学领域:
- 乳制品科学 乳制品科学
- 动物健康 动物健康
- 兽医医学 兽医医学 兽医医学
背景情况:
- 亚临床乳腺炎会在没有明显的临床症状的情况下对牛奶的产量和质量产生负面影响.
- 自动挤奶系统 (AMS) 提供各种牛奶和奶牛参数的持续监测.
研究的目的:
- 为了调查在亚临床乳腺炎发作之前由AMS检测到的症状前变化.
- 在亚临床乳腺炎的发病时确定血液学,生物化学和牛奶成分的差异.
主要方法:
- 32只霍尔斯坦牛根据体细胞计数 (SCC) 和加利福尼亚乳腺炎测试 (CMT) 将其分为健康对照 (CON) 和亚临床乳腺炎 (SCM) 组.
- 从121个牛奶样本中分析了AMS数据,血液参数,牛奶成分和细菌隔离.
主要成果:
- 在临床症状出现之前,在SCM奶牛中观察到乳量减少和电导率 (EC) 变化.
- 在SCM奶牛中,全球蛋白,基细胞数量,白蛋白与全球蛋白比率,胆固醇,白蛋白和血尿素的明显变化.
- 与未燃烧的季度和对照组相比,燃烧的季度 (mIQ) 显示出更高的SCC和更低的乳糖和非脂肪固体.
结论:
- 通过AMS监测的乳产和EC变化在亚临床乳腺炎之前.
- 这些早期指标与疾病发病时特定的血液学和牛奶成分变化有关.
- 这些发现为早期亚临床乳腺炎的检测和管理提供了新的见解.
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