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奶牛生产疾病与运动活动传感设备及乳孕酮浓度的关联

Association of production diseases with motor activity-sensing devices and milk progesterone concentrations in dairy cows.

作者信息

Williams J, Ntallaris T, Routly J E, Jones D N, Cameron J, Holman-Coates A, Smith R F, Humblot P, Dobson H

机构信息

Leahurst Campus, School of Veterinary Science, University of Liverpool, Neston, CH64 7TE UK.

Division of Reproduction, Department of Clinical Sciences, Faculty of Veterinary Medicine and Agricultural Sciences, SLU, 750-07 Uppsala, Sweden.

出版信息

Theriogenology. 2018 Sep 15;118:57-62. doi: 10.1016/j.theriogenology.2018.05.038. Epub 2018 May 31.

Abstract

We have previously established that the efficiency of identifying oestrus with activity-sensing devices can be compromised by common production diseases; the present study was undertaken to determine how these diseases may affect device readings. A total of 67 Holstein-Friesian cows, >20 days postpartum, were equipped with activity-sensing neck collars and pedometers, and simultaneous milk progesterone profiles were also monitored twice a week. The influences of common production stressors on maximum activity and progesterone values were analysed. Approximately 30% potential oestrus events (low progesterone value between two high values) remained unrecognised by both activity methods, and progesterone values in these animals were higher on the potential day of oestrus when both activity methods did not detect an event (0.043 ± 0.004 versus 0.029 ± 0.004 ng/mL; P = 0.03). Data from a subset of 45 cows (two events each) were subjected to mixed models and multiple regression modelling to investigate associations with production diseases. Cow motor activity was lower in lame cows. Maximum progesterone concentrations prior to oestrus increased as time postpartum and body condition score (BCS) increased. There were also fewer days of low progesterone prior to oestrus associated with increases in BCS and maximum progesterone concentrations prior to oestrus. In conclusion, lameness was associated with lower activity values, but this suppression was insufficient to account for lowered oestrus detection efficiency of either device. However, associations were identified between production diseases and progesterone profiles.

摘要

我们之前已经确定,使用活动感应设备识别发情期的效率可能会受到常见生产疾病的影响;本研究旨在确定这些疾病如何影响设备读数。总共67头产后超过20天的荷斯坦-弗里生奶牛佩戴了活动感应颈圈和计步器,同时每周还监测两次牛奶中的孕酮水平。分析了常见生产应激源对最大活动量和孕酮值的影响。两种活动方法均未识别出约30%的潜在发情事件(两个高值之间的孕酮值较低),并且在两种活动方法均未检测到事件的潜在发情日,这些动物的孕酮值更高(0.043±0.004对0.029±0.004 ng/mL;P=0.03)。对45头奶牛(每头奶牛两个事件)的子集数据进行混合模型和多元回归建模,以研究与生产疾病的关联。跛足奶牛的运动活动较低。发情期前的最大孕酮浓度随着产后时间和体况评分(BCS)的增加而升高。发情期前孕酮水平较低的天数也随着BCS的增加和发情期前最大孕酮浓度的增加而减少。总之,跛足与较低的活动值相关,但这种抑制不足以解释任何一种设备发情检测效率的降低。然而,已确定生产疾病与孕酮水平之间存在关联。

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