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On-farm Qualitative Behaviour Assessment of dairy goats in different housing conditions

机译:不同饲养条件下奶山羊的农场定性行为评估

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This study reports the results of the first investigation on the use of Qualitative Behaviour Assessment (QBA) in dairy goats, using a fixed-list of descriptors specifically developed for this species. It aimed to verify whether QBA can be reliably used by observers with different backgrounds to differentiate between the emotional states of goats kept under different environmental conditions. Two trained observers simultaneously assessed 16 dairy goat farms (8 "Housed" (H) farms, where animals were observed in free stall pens, and 8 "Pasture" (P) farms, where animals were observed in open ranges), using a list of 16 QBA descriptors that were based on literature studies and discussed within a focus group of goat experts. One H farm was removed from analysis due to procedural error. The QBA scores were analysed together using Principal Component Analysis (PCA, correlation matrix, no rotation). Observer agreement for farm scores on PCA Components (PCs) and on separate QBA terms was investigated using Pearson and Spearman correlations respectively. The effects of housing system and observer on PC scores were analysed using analysis of variance (treatments=observer, housing system, and their interaction; block=farm). PCA identified three main components explaining 60.87% of the total variation between goat farms: PC1 (29.04%) ranged from "content/calm" to "frustrated/aggressive", suggesting a relationship to the animals' general mood; PC2 (19.70%) ranged from "curious/attentive" to "calm/bored", suggesting a relationship to the animals' level of arousal, and PC3 (12.13%) ranged from "sociable/playful" to "alert/agitated". The two observers showed a good level of agreement on the three PCA dimensions (PC1: r = 0.75, P=0.001; PC2: r = 0.67, P=0.006; PC3: r = 0.69, P=0.004), and also on 7 out of 16 separate QBA descriptors (P 0.05). Two additional descriptors showed a moderate level of agreement (P=0.10). These results indicate an integrated PCA approach to QBA to be more robust. There were significant effects of housing system on both PCI (ANOVA; P=0.05) and PC2 (P=0.02), indicating goats on P farms to be more "content/calm" and "curious/attentive" than goats on H farms. There was a significant observer effect on PC2 (P=0.04), and a significant observer by housing interaction on PC3 (P=0.009). In sum, these results suggest that QBA can be a reliable welfare indicator, used by observers with different backgrounds; however, further development of QBA training procedures is required to extend inter-observer reliability to all main expressive dimensions emerging from the analysis. (C) 2016 Elsevier B.V. All rights reserved.
机译:这项研究报告了使用针对该物种专门开发的描述符的固定列表,对奶山羊使用定性行为评估(QBA)进行的首次调查的结果。它旨在验证QBA是否可以由具有不同背景的观察者可靠地用来区分在不同环境条件下饲养的山羊的情绪状态。两名训练有素的观察员同时使用列表评估了16个奶山羊场(其中8个“棚屋”(H)农场,在免费摊位观察动物,以及8个“牧场”(P)农场,其中在开放范围观察动物)。 16个QBA描述符的建立,这些描述符基于文献研究并在山羊专家的焦点小组中进行了讨论。由于程序错误,从分析中删除了一个H场。使用主成分分析(PCA,相关矩阵,无旋转)一起分析QBA得分。分别使用Pearson和Spearman相关性研究了PCA组件(PC)和单独的QBA术语上农场得分的观察员协议。使用方差分析(处理=观察者,住房系统及其相互作用;块=农场)来分析住房系统和观察者对PC评分的影响。 PCA确定了三个主要成分,解释了山羊场之间总变异的60.87%:PC1(29.04%)从“含量/镇定”到“沮丧/激进”不等,表明它们与动物的总体情绪有关; PC2(19.70%)从“好奇/专心”到“镇定/无聊”不等,表明与动物的觉醒水平有关; PC3(12.13%)从“善于交往/好玩”到“警觉/烦躁”不等。两位观察者在三个PCA维度上表现出良好的一致性(PC1:r = 0.75,P = 0.001; PC2:r = 0.67,P = 0.006; PC3:r = 0.69,P = 0.004),以及在7在16个独立的QBA描述符中(P <0.05)。另外两个描述符显示出适度的一致性(P = 0.10)。这些结果表明,针对QBA的集成PCA方法更加可靠。住房制度对PCI(ANOVA; P = 0.05)和PC2(P = 0.02)都有显着影响,表明P农场的山羊比H农场的山羊“含量/镇静”和“好奇/专心”更多。在PC2上有显着的观察者效应(P = 0.04),在PC3上存在交互作用也有显着的观察者效应(P = 0.009)。总之,这些结果表明,QBA可以作为可靠的福利指标,供不同背景的观察者使用。但是,需要进一步开发QBA培训程序,以将观察者之间的可靠性扩展到分析中出现的所有主要表达维度。 (C)2016 Elsevier B.V.保留所有权利。

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