Suppr超能文献

牛奶的电导率:预测乳腺炎状态的能力。

Electrical conductivity of milk: ability to predict mastitis status.

作者信息

Norberg E, Hogeveen H, Korsgaard I R, Friggens N C, Sloth K H M N, Løvendahl P

机构信息

Department of Animal Breeding and Genetics, Danish Institute of Agricultural Sciences, Research Center Foulum, Tjele, Denmark.

出版信息

J Dairy Sci. 2004 Apr;87(4):1099-107. doi: 10.3168/jds.S0022-0302(04)73256-7.

Abstract

Electrical conductivity (EC) of milk has been introduced as an indicator trait for mastitis over the last decade, and it may be considered as a potential trait in a breeding program where selection for improved udder health is included. In this study, various EC traits were investigated for their association with udder health. In total, 322 cows with 549 lactations were included in the study. Cows were classified as healthy or clinically or subclinically infected, and EC was measured repeatedly during milking on each quarter. Four EC traits were defined; the inter-quarter ratio (IQR) between the highest and lowest quarter EC values, the maximum EC level for a cow, IQR between the highest and lowest quarter EC variation, and the maximum EC variation for a cow. Values for the traits were calculated for every milking throughout the entire lactation. All EC traits increased significantly (P < 0.001) when cows were subclinically or clinically infected. A simple threshold test and discriminant function analysis was used to validate the ability of the EC traits to distinguish between cows in different health groups. Traits reflecting the level rather than variation of EC, and in particular the IQR, performed best to classify cows correctly. By using this trait, 80.6% of clinical and 45.0% of subclinical cases were classified correctly. Of the cows classified as healthy, 74.8% were classified correctly. However, some extra information about udder health status was obtained when a combination of EC traits was used.

摘要

在过去十年中,牛奶的电导率(EC)已被引入作为乳腺炎的指示性性状,并且在一个包括选择改善乳房健康的育种计划中,它可被视为一个潜在性状。在本研究中,对各种电导率性状与乳房健康的关联进行了调查。该研究总共纳入了322头奶牛的549次泌乳。奶牛被分类为健康、临床感染或亚临床感染,并且在每次挤奶时对每个乳腺进行多次电导率测量。定义了四个电导率性状;最高和最低乳腺电导率值之间的季度间比率(IQR)、一头奶牛的最大电导率水平、最高和最低季度电导率变化之间的IQR以及一头奶牛的最大电导率变化。在整个泌乳期的每次挤奶时计算这些性状的值。当奶牛处于亚临床或临床感染时,所有电导率性状均显著增加(P < 0.001)。使用简单阈值测试和判别函数分析来验证电导率性状区分不同健康组奶牛的能力。反映电导率水平而非变化的性状,特别是IQR,在正确分类奶牛方面表现最佳。通过使用该性状,80.6%的临床病例和45.0%的亚临床病例被正确分类。在被分类为健康的奶牛中,74.8%被正确分类。然而,当使用电导率性状组合时,获得了一些关于乳房健康状况的额外信息。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验