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A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds

机译:一种仿真研究,探讨使用差分体细胞计数的附加值作为乳制牛群乳房健康管理的另一种指标

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摘要

Mastitis is one of the most costly diseases in dairy herds worldwide. Somatic cell count (SCC) is widely used as an indicator for subclinical intramammary infections (IMI) that may eventually cause mastitis in dairy herds. Differential somatic cell count (DSCC) has recently been introduced as an additional indicator for IMI. The objective of this study was to investigate the value of using DSCC as an additional indicator to select cows for testing and subsequent intervention for subclinical mastitis during the lactation. We parameterized an existing bio-economic simulation model for dairy herds to include DSCC. Then, we simulated three Danish dairy cattle herd situations with different pathogen distributions where the main pathogens were 1) Staphylococcus aureus, 2) Streptococcus agalactiae, and 3) Streptococcus uberis. In these herds, we simulated two different selection strategies for testing (bacterial culture) for subclinical IMI and various intervention strategies for test positive cases. The first selection strategy considered only SCC; cows were selected for testing if they had a low SCC measurement followed by two high SCC measurements. In the second selection strategy, cows additionally had to have a high DSCC measurement. Results showed that both selection strategies led to a similar net income and to a similar number of clinical and subclinical cases for all investigated intervention strategies. However, when using DSCC in the selection of animals, the number of treatment days and the number of cows culled in relation to IMI was reduced: The median annual number of treatment days was reduced by 25-38 days in herd 1, by 25-42 days in herd 2, and by 30-48 days in herd 3, depending on the intervention strategy. The median annual number of cows culled in relation to IMI was reduced by up to 8 cows (10 cows in herd 3) for one of the intervention strategies. Subject to limitations associated with model assumptions, these results suggest that considering DSCC when selecting cows for testing can reduce IMI related culling and the use of antibiotics without changing in-herd prevalence nor resulting in economic loss.
机译:乳腺炎是全球乳制品牛群中最昂贵的疾病之一。体细胞计数(SCC)被广泛用作亚临床型内甲型感染(IMI)的指标,最终可能导致乳制品牛群中的乳腺炎。最近介绍了差分体细胞计数(DSCC)作为IMI的另外的指标。本研究的目的是探讨使用DSCC作为额外指标的价值,以选择奶牛的测试和后续干预泌乳期间亚临床乳腺炎。我们参数化了乳制品牛群的现有生物经济仿真模型,包括DSCC。然后,我们模拟了三个丹麦乳制品畜牧业的情况,其中主要病原体分布为1)葡萄球菌,2)链球菌胆囊和3)链球菌Uberis。在这些群体中,我们模拟了两种不同的选择策略,用于测试(细菌培养),用于亚临床IMI和用于测试阳性病例的各种干预策略。第一个选择策略只考虑了SCC;选择奶牛进行测试,如果它们具有低SCC测量,然后是两个高SCC测量值。在第二选择策略中,奶牛另外必须具有高DSCC测量。结果表明,两种选择策略都导致了类似的净收入以及所有调查干预策略的类似临床和亚临床案件。但是,当在选择动物时使用DSCC,减少了治疗日的数量和与IMI相关的奶牛的数量减少:中位数的治疗日期,在牧群中减少25-38天,25-根据干预策略,在牧群2中,在牧群中,在牧群中进行了30-48天。有关IMI的中位数的奶牛的年度数量减少了最多8韩元(牛群3牛)是一个干预策略。在与模型假设相关的限制的情况下,这些结果表明,在选择奶牛时考虑DSCC,可以减少相关剔除和抗生素的使用而不改变群体流行,也不会导致经济损失。

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