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步态与个体肉鸡活动水平自动记录之间的关系。

The relationship between gait and automated recordings of individual broiler activity levels.

机构信息

Animal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the Netherlands; Animals in Science and Society, Faculty of Veterinary Medicine, Utrecht University, 3508 TD Utrecht, the Netherlands.

Animal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the Netherlands.

出版信息

Poult Sci. 2021 Sep;100(9):101300. doi: 10.1016/j.psj.2021.101300. Epub 2021 May 29.

Abstract

Gait, or walking ability, is an often-measured trait in broilers. Individual gait scores are generally determined manually, which can be time-consuming and subjective. Automated methods of scoring gait are available, but are often implemented at the group level. However, there is an interest in automated methods of scoring gait at the individual level. We hypothesized that locomotor activity could serve as a proxy for gait of individual broilers. Locomotor activity of 137 group-housed broilers from four crosses was recorded from approximately 16 to 32 days old, using an ultra-wideband tracking system. These birds were divided over four trials. Individual gait scores were determined at the end of the tracking period, on a scale from 0 to 5, with higher scores representing worse gait. Given the limited number of birds, birds were subsequently categorized as having a good gait (GG; scores 0-2) or a suboptimal gait (SG; scores 3-5). Relationships between activity and gait classification were studied to determine whether individual activity has the potential to serve as a proxy for gait. When comparing GG and SG birds using robust linear regression, SG birds showed a lower 1) activity around the start of tracking (estimate = -1.33 ± 0.56, P = 0.019), 2) activity near the end of tracking (estimate = -1.63 ± 0.38, P < 0.001), and 3) average activity (estimate = -1.12 ± 0.41, P = 0.007). When taking day of tracking, trial, cross and body weight category (heavy versus light at approximately 2 wk old) into account, a tendency was still observed for SG birds having lower activity levels within lightweight birds, but not within heavyweight birds. This study provides indications for activity differences between gait classifications. However, given that there was considerable overlap in activity levels between the gait classifications, future research implementing additional activity-related variables is required to allow a more complete distinction between birds with different gait classifications.

摘要

步态,或行走能力,是肉鸡中经常测量的特征。个体步态评分通常是手动确定的,这可能既耗时又主观。目前已有用于步态评分的自动化方法,但通常是在群体层面上实施。然而,人们对个体层面上自动化步态评分方法感兴趣。我们假设,运动活动可以作为个体肉鸡步态的替代指标。使用超宽带跟踪系统,记录了来自四个杂交品系的 137 只群体饲养肉鸡在大约 16 至 32 日龄时的运动活动。这些鸡被分为四组进行试验。在跟踪期结束时,使用 0 到 5 的分数来确定个体步态评分,分数越高表示步态越差。由于鸟类数量有限,因此随后将鸟类分为步态良好(GG;评分 0-2)或步态欠佳(SG;评分 3-5)。研究了活动与步态分类之间的关系,以确定个体活动是否有可能作为步态的替代指标。使用稳健线性回归比较 GG 和 SG 鸟类时,SG 鸟类表现出较低的 1)跟踪开始时的活动(估计值=-1.33 ± 0.56,P=0.019),2)接近跟踪结束时的活动(估计值=-1.63 ± 0.38,P <0.001),以及 3)平均活动(估计值=-1.12 ± 0.41,P=0.007)。当考虑跟踪日、试验、杂交和体重类别(大约 2 周龄时的轻体重与重体重)时,仍然观察到 SG 鸟类在轻体重鸟类中活动水平较低的趋势,但在重体重鸟类中没有。本研究为步态分类之间的活动差异提供了指示。然而,考虑到步态分类之间的活动水平有相当大的重叠,需要进行未来的研究来实施额外的与活动相关的变量,以便在具有不同步态分类的鸟类之间进行更完整的区分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d91/8318892/51cab2ce2bf6/gr1.jpg

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