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监测以牧场为基础的奶牛的发情活动。

Monitoring estrous activity in pasture-based dairy cows.

作者信息

Moore S G, Aublet V, Butler S T

机构信息

Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, P61 P302, Ireland.

Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, P61 P302, Ireland.

出版信息

Theriogenology. 2021 Jan 15;160:90-94. doi: 10.1016/j.theriogenology.2020.11.002. Epub 2020 Nov 7.

Abstract

Correctly identifying cows in estrus and inseminating them at the optimal time are critical components of reproductive management. Technologies for detecting cows in estrus have developed from tail paint in the 1970's to automated activity monitors and mount detectors in recent decades. The objectives of this study were to identify animal characteristics associated with estrous behaviour, measured using a mount detector (FlashMate; Farmshed Labs) and an accelerometer-based activity monitor (Moomonitor, Dairymaster), to examine the relationship between estrous behaviour measured by both devices, and to examine the characteristics associated with pregnancy per AI. Four hundred and sixty eight lactating dairy cows managed on three research farms were enrolled and data were available from 465 cows and 369 cows with Moomonitor and FlashMate data, respectively. Of 234 cows that provided both Moomonitor and FlashMate data, the mean (±SEM) onset of device activation occurred 1.1 (±0.4) h earlier with the Moomonitor compared with the FlashMate. The mean (±SD) duration of Moomonitor activity and FlashMate activity was 17.2 ± 6.1 h and 8.7 ± 5.8 h, respectively. The duration of Moomonitor activity and FlashMate activity was negatively associated with total milk yield during the first five weeks of lactation. The duration of FlashMate activity, but not the duration of Moomonitor activity was positively associated with days in milk. Pregnancy per AI was positively associated with BCS, days in milk, the duration of FlashMate activity and the interval from the onset of Moomonitor and FlashMate activity to AI. Inseminating cows ≤2 h after FlashMate activation or ≤4 h after Moomonitor activation was associated with reduced odds of pregnancy compared with later timing of AI. Overall, 55% of cows received mounts for ≤8 h, highlighting the need for ≥3 periods of estrous observation daily or the use of estrous detection aids that continuously monitor cows. Finally, the study reiterated the importance of maximising body condition score and days in milk at breeding to increase behavioural expression of estrus and pregnancy per AI.

摘要

正确识别处于发情期的奶牛并在最佳时间进行授精是繁殖管理的关键组成部分。用于检测奶牛发情的技术已从20世纪70年代的尾涂颜料发展到近几十年来的自动活动监测器和爬跨探测器。本研究的目的是确定与发情行为相关的动物特征,使用爬跨探测器(FlashMate;Farmshed Labs)和基于加速度计的活动监测器(Moomonitor,Dairymaster)进行测量,检查两种设备测量的发情行为之间的关系,并检查与每次人工授精后的妊娠相关的特征。在三个研究农场管理的468头泌乳奶牛被纳入研究,分别有465头奶牛和369头奶牛获得了Moomonitor和FlashMate的数据。在提供了Moomonitor和FlashMate数据的234头奶牛中,与FlashMate相比,Moomonitor激活设备的平均(±标准误)开始时间提前了1.1(±0.4)小时。Moomonitor活动和FlashMate活动的平均(±标准差)持续时间分别为17.2±6.1小时和8.7±5.8小时。Moomonitor活动和FlashMate活动的持续时间与泌乳前五周的总产奶量呈负相关。FlashMate活动的持续时间与产奶天数呈正相关,而Moomonitor活动的持续时间则不然。每次人工授精后的妊娠与体况评分、产奶天数、FlashMate活动的持续时间以及从Moomonitor和FlashMate活动开始到人工授精的间隔呈正相关。与人工授精时间较晚相比,在FlashMate激活后≤2小时或Moomonitor激活后≤4小时对奶牛进行授精与妊娠几率降低有关。总体而言,55%的奶牛接受爬跨的时间≤8小时,这突出表明每天需要进行≥3次发情观察或使用能够持续监测奶牛的发情检测辅助工具。最后,该研究重申了在配种时最大化体况评分和产奶天数对于增加发情行为表达和每次人工授精后的妊娠率的重要性。

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