ABSTRACT Estrous detection intensity and accuracy and optimal timing of insemination with automated activity monitors for dairy cows
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Estrous detection intensity and accuracy and optimal timing of insemination with automated activity monitors for dairy cows

机译:利用自动监控器对奶牛发情的检测强度,准确性和最佳授精时间

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ABSTRACTThe objectives of this observational study were to assess the ability of automated activity monitoring (AAM) to detect estrus for first insemination, the accuracy of detection, and the optimum interval from the estrus alert from the AAM system to insemination. Four commercial farms using 1 of 2 commercial AAM systems were studied over 1 yr. Cows were inseminated between 55 and 80 d in milk (DIM) based on AAM only, then by a combination of AAM and timed artificial insemination (AI). Blood progesterone was measured in 1,014 cows at wk 5, 7, and 9 postpartum; purulent vaginal discharge (PVD) was assessed at wk 5; and lameness and BCS at wk 7. Overall, AAM detected 83% of cows in estrus by 80 DIM. Cows that had 3 serum progesterone <1 ng/mL, had PVD, or were both lame and had BCS ≤2.5 has lesser odds of being detected in estrus by 80 DIM (62, 68, and 53%, respectively). Blood samples were collected on the day of 445 AI based on AAM and 323 timed AI. The proportion of cows not in estrus (progesterone >1 ng/mL) on the day of AI was similar between AAM (4 ± 1.8%) and timed AI (3 ± 1.2%). Managers elected, based on subjective criteria, not to inseminate 17% of cows for which an AAM estrus alert was issued, of which 43% were not in estrus. Activity data were extracted from AAM software for 1,399 AI. Onset of estrus was calculated using the same or similar data processing criteria as the AAM system. Producers recorded the time of AI. The interval from onset of estrus to AI was categorized as 0 to 8, 8 to 16, or 16 to 24 h. We found no effect of AAM system on the probability of pregnancy per AI, but noted an interaction of interval with parity. For multiparous cows, the probability of pregnancy per AI was 31%, which did not differ with the interval to AI. For primiparous cows, the odds of pregnancy were greater if AI occurred 0 to 8 h (49%) than 8 to 16 (36%) or 16 to 24 h (31%) after the estrus alert from the AAM. Automated activity monitoring can detect estrus for first AI in just over the length of 1 estrous cycle for over 80% of cows, but the remainder would likely require intervention for timely insemination. For multiparous cows, performing AI based on AAM once per day would not affect pregnancy per AI, but for primiparous cows AI within 8 h of the onset of estrus may be advantageous.
机译: 抽象 这项观察性研究的目的是评估自动活动监测(AAM)检测初次授精发情的能力,检测的准确性以及最适间隔从AAM系统发情到授精。在1年中研究了使用2个商业AAM系统中的1个的四个商业农场。仅在AAM的基础上,在牛奶(DIM)中55至80天之间对母牛进行授精,然后通过AAM和定时人工授精(AI)的组合进行授精。在产后第5、7和9周对1,014头母牛的血液中的孕酮进行了测量;第5周评估脓性白带(PVD);以及第7周的la行和BCS。总体而言,AAM在80 DIM时检出了83%的发情母牛。具有3个血清孕激素<1 ng / mL,PVD或均为both脚且BCS≤2.5的母牛发情时被DIM检测到的几率较小(分别为80、62、68和53%)。在445 AI当天根据AAM和323定时AI采集血样。 AI当天不在发情期(孕酮> 1 ng / mL)的母牛比例在AAM(4±1.8%)和定时AI(3±1.2%)之间相似。经理们根据主观标准选择不对17%发出AAM发情警报的母牛进行授精,其中43%不在发情期。活动数据是从AAM软件中提取的1,399个AI。使用与AAM系统相同或相似的数据处理标准来计算发情发作。生产者记录了AI的时间。从发情到AI的间隔被分类为0至8、8至16或16至24小时。我们发现AAM系统对每个AI怀孕的可能性没有影响,但是注意到间隔与胎次的相互作用。对于多头母牛,每个AI怀孕的概率为31%,与AI间隔没有差异。对于初产母牛,如果AI在AAM发情警报后出现0到8小时(49%)比8到16小时(36%)或16到24小时(31%)发生,则怀孕的几率更大。自动化的活动监测可以在超过80%的母牛的1个发情周期内检测到第一例AI的发情,但是其余的可能需要及时进行授精干预。对于多头母牛,每天一次基于AAM进行AI不会影响每个AI的怀孕,但是对于初发母牛,在发情发作后8小时内AI可能是有利的。

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