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每日挤奶 3 次的荷斯坦奶牛泌乳延迟的风险因素。

Risk factors for delayed milk ejection in Holstein dairy cows milked 3 times per day.

机构信息

Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.

Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.

出版信息

J Dairy Sci. 2022 Aug;105(8):6936-6946. doi: 10.3168/jds.2021-21761. Epub 2022 Jun 27.

Abstract

Delayed milk ejection, manifested most often as bimodal milk flow, occurs when the cisternal milk fraction is removed before the alveolar milk reaches the gland cistern. It is thought to be a consequence of not meeting cows' physiological needs, due to insufficient premilking teat stimulation, inadequate timing of milking unit attachment, or both. It has been associated with decreased milking efficiency, reduced milk yield, and impaired teat and udder health. Traditionally, portable electronic milk meters have been used to assess the presence of delayed milk ejection in dairy cows. By contrast, incremental milk flow rates from on-farm milk meters and their suitability as a measure to assess delayed milk ejection have not been studied by rigorous methods. The objectives were (1) to describe a protocol for identification of cows with chronically delayed milk ejection (CDME) and (2) to investigate risk factors for CDME using incremental milk flow rates obtained from automated on-farm milk meters. In a retrospective case control study, milk flow data from a 4,300-cow dairy with a thrice-daily milking schedule were obtained over a 1-wk period. Incremental milk flow rates (0-15 s, 15-30 s, 30-60 s, and 60-120 s) were used to identify cows with delayed milk ejection. Cases of CDME were defined as presence of delayed milk ejection at all 21 milking observations. Cows that had no delayed milk ejection at any of the same 21 milking observations were included as controls. A total of 171 cases and 393 controls were included in the study based on these criteria. A logistic regression model was used to evaluate associations of the following risk factors with CDME: parity (1, 2, ≥3), stage of lactation (<100, 101-200, >200 DIM), presence of a nonlactating quarter, milk somatic cell count, average daily milk production, and health and management events. Parity and CDME were associated such that compared with cows in their third or greater lactation, the odds (95% confidence intervals, 95% CI) of CDME were 1.27 (0.71-2.25) for cows in their first and 4.77 (2.47-9.22) for animals in their second lactation. The odds of CDME increased with increasing stage of lactation, with an odds ratio of 0.20 (0.11-0.36) for early and 0.28 (0.15-0.52) for mid-lactation animals, respectively, compared with late lactation cows. A 1-kg increase in average daily milk production was associated with decreased odds of CDME [odds ratio (95% CI): 0.89 (0.87-0.92)]. A lameness event during the study period increased the odds of CDME [odds ratio (95% CI): 8.04 (1.20-53.83)], as did a vaccination event 1 wk before the study period [odds ratio (95% CI): 4.07 (0.99-16.71)]. This study confirmed associations between CDME and previously reported risk factors and identified several previously less rigorously investigated health and management events that could be associated with CDME. Incremental milk flow rates from individual cows serve as an automated tool to evaluate milk flow dynamics. This information could be used to improve individual premilking udder preparation to meet the animal's physiological requirements, improve teat and udder health, and enhance parlor efficiency.

摘要

延迟的奶流,最常见的表现为双峰奶流,发生在腔室奶部分被移除之前,直到腺泡奶到达乳腺腔。人们认为这是由于未能满足奶牛的生理需求,例如预挤奶前的刺激不足、挤奶单元连接的时机不当或两者兼而有之。它与挤奶效率降低、产奶量减少以及乳头和乳房健康受损有关。传统上,使用便携式电子牛奶计量器来评估奶牛是否存在延迟的奶流。相比之下,增量奶流率来自农场的牛奶计量器及其作为评估延迟奶流的措施的适用性尚未通过严格的方法进行研究。目的是(1)描述一种识别慢性延迟奶流(CDME)的奶牛的方案,(2)使用自动农场牛奶计量器获得的增量奶流率来研究 CDME 的风险因素。在回顾性病例对照研究中,从一个每天挤奶 3 次的拥有 4300 头奶牛的奶牛场获得了为期 1 周的牛奶流量数据。使用增量奶流率(0-15 秒、15-30 秒、30-60 秒和 60-120 秒)来识别延迟奶流的奶牛。CDME 的病例定义为在所有 21 次挤奶观察中都存在延迟奶流。在同一 21 次挤奶观察中没有任何延迟奶流的奶牛被纳入对照组。根据这些标准,共有 171 例病例和 393 例对照纳入研究。使用逻辑回归模型评估以下风险因素与 CDME 的关联:胎次(1、2、≥3)、泌乳阶段(<100、101-200、>200 DIM)、非泌乳乳头的存在、牛奶体细胞计数、平均日产量和健康与管理事件。胎次和 CDME 之间存在关联,与处于第三次或更高泌乳期的奶牛相比,第一次和第二次泌乳的奶牛发生 CDME 的几率(95%置信区间,95%CI)分别为 1.27(0.71-2.25)和 4.77(2.47-9.22)。随着泌乳阶段的增加,CDME 的几率增加,早期的几率比为 0.20(0.11-0.36),中期的几率比为 0.28(0.15-0.52),与晚期泌乳的奶牛相比。平均日产量每增加 1 公斤,发生 CDME 的几率就会降低[几率比(95%CI):0.89(0.87-0.92)]。在研究期间发生跛行事件会增加 CDME 的几率[几率比(95%CI):8.04(1.20-53.83)],在研究前 1 周发生疫苗接种事件也会增加 CDME 的几率[几率比(95%CI):4.07(0.99-16.71)]。本研究证实了 CDME 与先前报道的风险因素之间的关联,并确定了一些以前较少严格调查的健康和管理事件,这些事件可能与 CDME 有关。个体奶牛的增量奶流率是评估奶流动力学的自动化工具。这些信息可用于改善预挤奶前的乳房准备,以满足动物的生理需求,改善乳头和乳房健康,并提高牛舍效率。

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