我们可以从牛奶中红外光谱中获得乳牛慢性压力生物标志物的信息吗?
Journal of dairy science
|July 11, 2025
概括
牛奶中红外光谱 (MIR) 可以预测奶牛的慢性压力. 定性模型实现了71%的毛皮质醇和73%的血液果糖胺准确度,有助于评估动物福利.
科学领域:
- 动物科学动物科学
- 兽医医学 兽医医学 兽医医学
- 频谱学是一种光谱学.
背景情况:
- 乳牛的慢性压力会对健康和生产力产生负面影响.
- 对慢性压力生物标志物的客观测量,如头发皮质醇和血液果糖胺是具有挑战性的.
- 中红外光谱 (MIR) 为评估动物健康指标提供了一种潜在的非侵入性方法.
研究的目的:
- 评估牛奶MIR光谱在预测单个奶牛皮质醇和血果胺水平方面的潜力.
- 开发和验证这些慢性压力生物标志物的定性歧视和定量预测模型.
- 评估使用MIR光谱在乳牛群的常规,大规模慢性压力评估的可行性.
主要方法:
- 在五个欧洲国家收集了1,412只奶牛的大规模数据集.
- 牛奶,头发和血液样本使用MIR光谱和既定的实验室方法进行了分析.
- 部分最小平方区分分析 (PLS-DA) 用于定性模型,并测试了四种定量方法.
- 模型经过严格验证,使用外部群体验证过程,代排除33%的群体.
主要成果:
- 定性模型显示出有希望的结果:高发皮质醇的准确率为71%,高血果胺的准确率为73%.
- 定量模型显示预测能力较差,发皮质醇的R2值为0.13,血液果糖胺的R2值为0.2.
- 外部群体验证证了定性模型的稳定性,尽管在预测准确的生物标志物值方面存在挑战.
结论:
- 牛奶MIR光谱显示了在个别奶牛中对慢性压力生物标志物 (毛皮质醇,血液果糖胺) 的定性预测的潜力.
- 虽然定量预测仍然有限,但定性模型为长期压力的大规模,例行评估提供了有价值的工具.
- 这种方法可以促进客观,具有成本效益的监测和改善奶牛养殖中的动物福利.
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