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Detection and Characterization of Estrus in Dairy Cattle with an Electronic Heatmount Detector and an Electronic Activity Tag

机译:电子热量表检测器和电子活动标签对奶牛发情的检测和鉴定

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The length and onset of estrus was studied in 71 lactating dairy cows using an electronic heatmount sensor (HeatWatch; DDx lnc., Boulder, CO, DeForest, WI) and an electronic activity tag (Heat Seeker, Bou- matic, Madison, WI). Three methods were used to de- termine estrus: 1) the electronic heatmount system, 2) an increased activity ratio algorithm determined by the Heat Seeker, and 3) an increased activity count algorithm calculated for each estrous period. Mount- ing and physical activity variables were characterized, and the effects of synchrony, parity, and weather on these variables were determined with data from two different trials. Cows in trial 1 were not synchronized, while cows in trial 2 were synchronized. The results of the study were consistent as follows: mean numbers of mounts were 6.70 ± 0.7 and 5.42 ±0.80 for trials 1 and 2, respectively; each mount lasted 3.20 ± 0.19 s (trial 1) and 3.36 ± 0.42 s (trial 2). Total mounting activity averaged 5.83 ± 0.7S h per estrous period in trial 1 and 5.57 ± 1.02 h in trial 2. Estrus identified by the increased activity count algorithm corresponded more closely to standing mount activity (determined by the Heatwatch System) than did the increased ac- tivity ratio algorithm. Synchrony, parity, and weather did not have a direct effect on physical activity. Hot weather decreased the duration of standing mount ac- tivity significantly, but did not affect the number or duration of individual mounts. All three methods of estrus detection employed improved the efficiency of detection over visual observation.
机译:使用电子热量传感器(HeatWatch; DDx lnc。,Boulder,CO,DeForest,WI)和电子活动标签(Heat Seeker,Boumatic,Madison,WI)对71头泌乳奶牛的发情长度和发作进行了研究。 。三种方法用于确定发情期:1)电子热量表系统; 2)由寻热器确定的增加的活动比率算法; 3)为每个发情期计算的增加的活动计数算法。对坐骑和身体活动变量进行了表征,并通过两个不同试验的数据确定了同步性,奇偶性和天气对这些变量的影响。试验1中的母牛不同步,而试验2中的母牛同步。研究结果一致如下:试验1和2的平均坐骑次数分别为6.70±0.7和5.42±0.80;每次安装持续3.20±0.19 s(试验1)和3.36±0.42 s(试验2)。在试验1中,每个动情期的平均坐骑活动平均为5.83±0.7S h,在试验2中,平均发情活动的平均坐骑活动为5.57±1.02 h。通过增加的活动计数算法确定的发情比站立的坐骑活动(由Heatwatch系统确定)更接近主动率算法。同步,平价和天气对身体活动没有直接影响。炎热的天气显着降低了站立式活动的持续时间,但并未影响单个坐骑的数量或持续时间。与视觉观察相比,采用的所有三种发情检测方法均提高了检测效率。

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