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估算高纤维和低纤维日粮下牛行为的最佳观测采样频率。

Estimating optimal observational sampling frequency of behaviors for cattle fed high- and low-forage diets.

机构信息

Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China.

Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, Alberta, Canada.

出版信息

J Anim Sci. 2018 Apr 3;96(3):783-796. doi: 10.1093/jas/skx073.

Abstract

Video recordings of behavioral activities including eating, ruminating, drinking, standing, and lying were monitored to determine the minimum number of sampling days and sampling frequency required to obtain reliable estimates of these behaviors. Eight continental crossbred heifers, individually housed in a tie-stall barn with total mixed ration provided once per day, were divided by BW into two blocks and assigned to each of the two dietary treatments in a crossover design: high-forage diet (HF, forage:concentrate ratio 70:30) and low-forage diet (LF, forage:concentrate ratio 30:70). The cows were monitored continuously using a digital video recording system for 6 d in each of the two periods and a trained observer manually recorded the behavioral activities by minute. Mean time spent performing each behavior for 6 d with instantaneous samples of 1 min was compared with those obtained using fewer sampling days (1, 2, 3, 4, and 5 d) and less frequent scanning (2, 3, 4, 5, 10, 15, 30, and 60 min) using linear regression analysis, and the minimum number of sampling days or frequency was determined. Diet did not affect the accuracy and precision of predicting behavior from video recordings of the cows. When sampling days and scanning intervals were combined, the minimum recommended sampling frequency for accurately estimating a specific set of behaviors of beef heifers in tie stalls was: eating, 2 d with 4-min intervals; ruminating, 3 d with 4-min intervals; drinking, 2 d with 3-min intervals; and standing and lying, 2 d with 15-min intervals. Increasing sampling frequency beyond these minimums further enhanced the accuracy and precision of predictions. The total time of each behavioral activity was different between cows fed HF and LF diets with eating, ruminating, total chewing, and standing of heifers fed the HF diet greater (P < 0.01), but the lying (P < 0.01) and drinking time (P = 0.028) of heifers fed the LF diet greater. Meal patterns were different (P < 0.05) between the treatments except when meal size (kg) was expressed as DM or OM intake. For rumination patterns, the mean or maximum bout length (min/bout) was greater, but the maximum or minimum length of time heifers took to ruminate after eating was lower for the HF diet. From a practical standpoint, it is recommended to use 3 days of observations scanned at an interval of 4 min to reliably estimate the behavior of cows. If the focus is only lying and standing time, then 2 days with 15 min intervals can be used.

摘要

对包括进食、反刍、饮水、站立和躺卧在内的行为进行视频记录,以确定获得这些行为可靠估计所需的最小采样天数和采样频率。8 头大陆杂交奶牛,单独饲养在一个有总混合日粮的拴系牛舍中,每天提供一次,按体重分为两组,并按交叉设计分配到两种饮食处理中:高粗饲料饮食(HF,粗饲料:浓缩物比例 70:30)和低粗饲料饮食(LF,粗饲料:浓缩物比例 30:70)。使用数字视频记录系统连续监测奶牛 6 天,由经过培训的观察员每 1 分钟手动记录行为活动。使用线性回归分析比较了在每个时期的 6 天内使用 1 分钟的瞬时样本和使用较少的采样天数(1、2、3、4 和 5 天)和较少的扫描频率(2、3、4、5、10、15、30 和 60 分钟)获得的每种行为的平均时间,并确定了最小采样天数或频率。饮食对从奶牛的视频记录中预测行为的准确性和精度没有影响。当采样天数和扫描间隔结合使用时,准确估计在拴系牛舍中饲养的肉牛小母牛特定行为组的最小推荐采样频率为:进食,2 天,间隔 4 分钟;反刍,3 天,间隔 4 分钟;饮水,2 天,间隔 3 分钟;站立和躺卧,2 天,间隔 15 分钟。超过这些最小值进一步提高了预测的准确性和精度。饲喂 HF 和 LF 日粮的奶牛的各项行为活动总时间不同,采食、反刍、总咀嚼和站立时间较大(P < 0.01),但躺卧(P < 0.01)和饮水时间(P = 0.028)较小。采食模式在处理之间不同(P < 0.05),但当采食大小(kg)表示为 DM 或 OM 摄入量时除外。对于反刍模式,平均或最大回合长度(min/回合)较大,但 HF 饮食后奶牛反刍的最大或最小时间较短。从实际角度来看,建议使用 3 天的观察结果,以 4 分钟的间隔扫描,以可靠地估计奶牛的行为。如果重点只是躺卧和站立时间,则可以使用 2 天,间隔 15 分钟。

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