荷斯坦奶牛抗数码皮炎遗传指数与数码皮炎、跟角糜烂和趾间增生之间的关系。

IF 3.7 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Dairy Science Pub Date : 2024-07-01 DOI:10.3168/jds.2023-24136
A. Anagnostopoulos , M. Barden , B.E. Griffiths , C. Bedford , M. Winters , B. Li , M. Coffey , A. Psifidi , G. Banos , G. Oikonomou
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引用次数: 0

摘要

数字皮炎(DD)是英国大多数奶牛场流行的一种多细菌疾病。它对经济和福利构成重大威胁,具有高发病率和高复发率的特点。我们的目的是在荷斯坦奶牛群体中调查英国抗数码皮炎的估计育种值、数码皮炎指数(DDI)与数码皮炎、跟角侵蚀(HHE)和趾间增生(IH)频率之间的关系。在一项前瞻性队列研究中,我们对来自 4 个牧场的 2352 头奶牛进行了登记和基因分型。兽医在生产周期的 4 个时间点记录了每头奶牛的足部病变记录,从产犊前约 2 个月开始,到泌乳后期结束。重要的是,这些记录不用于计算DDI。病变记录与动物自身的 DDI(n = 2,101 )和其父亲的 DDI(n = 1,812 )相匹配。研究对象的数字皮炎指数值在-1.41到+1.2之间,并进行了转换,以标准差表示与平均值的距离。使用逻辑回归模型研究了 DDI 与是否存在 DD 之间的关系,并将农场、奇偶性和农场与奇偶性的交互作用作为协变量进行了拟合。为评估 HHE 和 DDI 之间的关系,还拟合了一个多变量 logistic 回归模型,并将农场作为协变量。最后,使用以 DDI 为解释变量的单变量逻辑回归模型来研究 IH 与 DDI 之间的关系。动物的DDI每增加一个标准差(SD),其受DD影响的几率比为0.69(95%置信区间(CI)=0.63-0.76)。DDI每增加一个标准差,HHE和IH的几率分别为0.69(95%CI = 0.62-0.76)和0.58(95%CI = 0.49-0.68)。DDI平均值为0的奶牛的DD调整概率为32%(95%CI = 27-36%),而DDI值为+1的奶牛的DD调整概率为24%(95%CI = 20-29%)。用同样的方法对公牛的 DDI 繁殖值进行标准化,然后将其分为三等分,形成一个代表抗 DD 遗传优势高、中、低的公牛的序数变量。与高遗传力公牛的女儿相比,低遗传力公牛的女儿受 DD、HHE 和 IH 影响的几率分别为 2.05(95% CI = 1.60-2.64)、1.96(95% CI = 1.53-2.50)和 2.85(95% CI = 1.64-5.16)倍。这项研究的结果凸显了数字皮炎遗传指数在帮助牛群管理数字皮炎方面的潜力,并建议在进行抗数字皮炎育种的同时采取环境和管理控制措施,以降低该病的流行率。
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Association between a genetic index for digital dermatitis resistance and the presence of digital dermatitis, heel horn erosion, and interdigital hyperplasia in Holstein cows

Digital dermatitis (DD) is a polybacterial disease endemic to most UK dairy farms. It poses a major financial and welfare threat and is characterized by high incidence and recurrence rates. We aimed to investigate the association between the UK EBV for resistance to digital dermatitis, the digital dermatitis index (DDI), and the frequency of DD, heel horn erosion (HHE), and interdigital hyperplasia (IH) in a population of Holstein dairy cows. We enrolled and genotyped 2,352 cows from 4 farms in a prospective cohort study. Foot lesion records were recorded by veterinary surgeons for each animal at 4 time points during a production cycle, starting at approximately 2 mo before calving and ending in late lactation. Importantly, these records were not used in the calculation of the DDI. Lesion records were matched to the animal's own DDI (n = 2,101) and their sire's DDI (n = 1,812). Digital dermatitis index values in our study population ranged from −1.41 to +1.2 and were transformed to represent distance from the mean expressed in SD. The relationship between the DDI and the presence of DD was investigated using a logistic regression model, with farm, parity, and a farm-parity interaction fitted as covariates. A multivariable logistic regression model was fitted to evaluate the relationship between HHE and DDI with farm fitted as a covariate. Finally, a univariable logistic regression model with DDI as explanatory variable was used to investigate the relationship between IH and DDI. The odds ratio of an animal being affected by DD was 0.69 for 1 SD increase in the animal's DDI (95% CI = 0.63–0.76). The odds of HHE and IH were 0.69 (95% CI = 0.62–0.76) and 0.58 (95% CI = 0.49–0.68) respectively for 1 SD increase in DDI. The adjusted probability of DD was 32% (95% CI = 27–36%) for cows with mean DDI value of 0, while it was 24% (95% CI = 20–29%) in cows with a DDI value of +1. Sire DDI breeding values were standardized in the same way and then binned into terciles creating an ordinal variable representing bulls of high, medium, and low genetic merit for DD resistance. The daughters of low genetic merit bulls were at 2.05 (95% CI = 1.60–2.64), 1.96 (95% CI = 1.53–2.50), and 2.85 (95% CI = 1.64–5.16) times greater odds of being affected by DD, HHE, and IH, respectively, compared with the daughters of high genetic merit bulls. The results of this study highlight the potential of digital dermatitis genetic indexes to aid herd management of DD, and suggest that breeding for resistance to DD, alongside environmental and management control practices, could reduce the prevalence of the disease.

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来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
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