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结构方程模型估计牛乳腺炎感染风险和耐受能力。

Structural equation models to estimate risk of infection and tolerance to bovine mastitis.

机构信息

Department of animal production, University of Liège, Liège, 4000, Belgium.

出版信息

Genet Sel Evol. 2013 Mar 6;45(1):6. doi: 10.1186/1297-9686-45-6.

Abstract

BACKGROUND

One method to improve durably animal welfare is to select, as reproducers, animals with the highest ability to resist or tolerate infection. To do so, it is necessary to distinguish direct and indirect mechanisms of resistance and tolerance because selection on these traits is believed to have different epidemiological and evolutionary consequences.

METHODS

We propose structural equation models with latent variables (1) to quantify the latent risk of infection and to identify, among the many potential mediators of infection, the few ones that influence it significantly and (2) to estimate direct and indirect levels of tolerance of animals infected naturally with pathogens. We applied the method to two surveys of bovine mastitis in the Walloon region of Belgium, in which we recorded herd management practices, mastitis frequency, and results of bacteriological analyses of milk samples.

RESULTS AND DISCUSSION

Structural equation models suggested that, among more than 35 surveyed herd characteristics, only nine (age, addition of urea in the rations, treatment of subclinical mastitis, presence of dirty liner, cows with hyperkeratotic teats, machine stripping, pre- and post-milking teat disinfection, and housing of milking cows in cubicles) were directly and significantly related to a latent measure of bovine mastitis, and that treatment of subclinical mastitis was involved in the pathway between post-milking teat disinfection and latent mastitis. These models also allowed the separation of direct and indirect effects of bacterial infection on milk productivity. Results suggested that infected cows were tolerant but not resistant to mastitis pathogens.

CONCLUSIONS

We revealed the advantages of structural equation models, compared to classical models, for dissecting measurements of resistance and tolerance to infectious diseases, here bovine mastitis. Using our method, we identified nine major risk factors that were directly associated with an increased risk of mastitis and suggested that cows were tolerant but not resistant to mastitis. Selection should aim at improved resistance to infection by mastitis pathogens, although further investigations are needed due to the limitations of the data used in this study.

摘要

背景

提高动物福利的一种方法是选择具有最高抗感染能力或耐受能力的动物作为繁殖者。为此,有必要区分直接和间接的抗性和耐受性机制,因为对这些性状的选择被认为具有不同的流行病学和进化后果。

方法

我们提出了具有潜在变量的结构方程模型 (1) 来量化潜在的感染风险,并确定众多潜在的感染中介中,哪些是对感染有显著影响的少数几个;(2) 估计自然感染病原体的动物的直接和间接耐受水平。我们将该方法应用于比利时瓦隆地区的两次奶牛乳腺炎调查,记录了牛群管理实践、乳腺炎频率以及牛奶样本细菌分析结果。

结果与讨论

结构方程模型表明,在 35 个以上调查的牛群特征中,只有 9 个(年龄、日粮中添加尿素、隐性乳腺炎治疗、有脏衬垫、角状乳头牛、机器挤奶、挤奶前后乳头消毒和奶牛在牛舍中饲养)与牛乳腺炎的潜在测量值直接且显著相关,而隐性乳腺炎治疗则参与了挤奶后乳头消毒与潜在乳腺炎之间的途径。这些模型还允许分离细菌感染对牛奶产量的直接和间接影响。结果表明,感染的奶牛对乳腺炎病原体具有耐受性,但不具有抗性。

结论

与经典模型相比,我们揭示了结构方程模型在剖析抗感染疾病(此处为奶牛乳腺炎)的抗性和耐受性测量方面的优势。使用我们的方法,我们确定了九个主要的风险因素,这些因素与乳腺炎风险的增加直接相关,并表明奶牛对乳腺炎具有耐受性,但不具有抗性。选择应旨在提高对乳腺炎病原体的抗感染能力,尽管由于本研究中使用的数据存在局限性,还需要进一步的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5752/3626708/1b9ede1e3bd5/1297-9686-45-6-1.jpg

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