采用机器人挤奶系统的不同挤奶台布局对多产奶牛行为模式的影响

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引用次数: 0

摘要

本研究旨在根据一个商业化牧场中多胎泌乳荷斯坦奶牛的行为模式,比较使用导流式机器人挤奶系统(RMS)的自由围栏中不同牛栏和动物流配置布局的效率。对 24 头奶牛在自由挤奶台栏中的行为进行了评估,这些奶牛被分为 4 种不同的挤奶台配置:原始挤奶台 (OR)、转换挤奶台 (CVS)、收费挤奶台 I (TBI) 和收费挤奶台 II (TBII),每种挤奶台配置都具有不同的循环布局,导流式 RMS 设备、饲料铺、水槽、承重栏、沙床、分选门和单向门的位置、位置和数量配置各不相同。从每个自由栏中随机抽取六头多胎奶牛(奇数为 2 或 3,平均(± SD)为 180 ± 20 DIM),对其行为模式进行重点评估。每头奶牛的位置、姿势和行为都被记录在现场乙状图中,在每个牛栏的 6 个不连续的 10 小时期间,使用聚焦法以 15 分钟的间隔记录单个序列,并评估每种行为的观察时间比例。挤奶机器人的数量(1 个、2 个或 3 个)、每个挤奶机器人的动物数量、智能门的数量和方向,以及饲料槽、水槽和沙床的位置都各不相同。采用完全随机实验设计对 4 个牛栏进行比较,使用 Minitab 软件进行非参数 Kruskal-Wallis 检验,然后使用 Dunn 检验比较处理的中位数,显著性水平为 5%。奶牛的行为模式因栏位配置不同而存在差异,RMS占观察时间(60小时)的比例不同。TBI挤奶台配置的奶牛需要挤完奶才能离开挤奶机器人,与其他挤奶台相比,TBI挤奶台配置的奶牛在沙床上(68%)和卧位(64%)的观察时间占观察时间(60小时)的比例更高。值得注意的是,TBII饲养区的观察时间(60小时)中有很大一部分时间(16%)是在饲养区,这可能是由于每个机器人饲养的动物数量较多。因此,机器人系统的空间配置和密度是影响奶牛行为模式的因素。
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Impact of different stall layouts with robotic milking systems on the behavioral pattern of multiparous cows

The present study aimed to compare the efficiency of different pens and animal flow configuration layouts in freestall pens using a robotic milking system (RMS) with guided flow based on the behavioral patterns of multiparous lactating Holstein dairy cows in a commercial farm. The behavior of 24 cows in freestall pens was evaluated, divided into 4 different stall configurations: original (OR), conversion (CVS), toll-booth I (TBI), and toll-booth II (TBII), each featuring distinct circulation layouts with different configurations of location, position, and number of guided-flow RMS equipment, feed bunk, water trough, commitment pen, sand beds, sorting gates, and one-way gate. Six multiparous cows, parity 2 or 3, with an average (± SD) of 180 ± 20 DIM, were randomly selected from each freestall pen for focal assessment of behavioral patterns. The location, position, and behavior of each animal were recorded in a field ethogram, with individual sequences recorded at 15-min intervals using the focal method during 6 nonconsecutive 10-h periods in each pen, and the proportion of observed time for each behavior was assessed. The pens differed in the number of available milking robots (1, 2, or 3), the number of animals per robot, the quantity and orientation of smart doors, and the placement of feed bunks, water troughs, and sand beds. A completely randomized experimental design was used to compare the 4 stalls, with a nonparametric Kruskal-Wallis test, in which the medians of the treatments were then compared with the Dunn test at a significance level of 5%, using the Minitab software. The behavioral pattern of cows exhibited differences based on the stall configuration with RMS as a proportion of the observed time (60 h). The TBI stall configuration, where the animal needs to be milked to exit the milking robot, showed a higher percentage of observed time spent in the sand bed (68%) and lying position (64%) compared with other stalls, as a proportion of the observed time (60 h). Notably, the TBII stall exhibited a significant amount as a proportion of observed time (60 h) in the holding area (16%), possibly attributed to a layout with a higher number of animals per robot, emphasizing the importance of respecting the number of animals per robot when housing in a stall with RMS. Thus, spatial configuration and the density of robotic systems are factors that influence the behavioral pattern of dairy cows.

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JDS communications
JDS communications Animal Science and Zoology
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Table of Contents Editorial Board Getting to grips with resilience: Toward large-scale phenotyping of this complex trait* Development of genomic evaluation for methane efficiency in Canadian Holsteins* Validation and interdevice reliability of a behavior monitoring collar to measure rumination, feeding activity, and idle time of lactating dairy cows
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