肉在丰富的环境下,在不同的热条件下,使用一般化的序列模式算法对肉的序列行为:概念证明.
Juliana Maria Massari1, Daniella Jorge de Moura1, Irenilza de Alencar Nääs2
1School of Agricultural Engineering, State University of Campinas, 501 Candido Rondon Avenue, Campinas 13083-875, SP, Brazil.
Animals : an open access journal from MDPI
|July 13, 2024
概括
环境丰富有助于肉通过改变其行为模式来适应热应激. 使用通用序列模式 (GSP) 算法的数据挖掘识别了这些变化,显示丰富提高了福利.
科学领域:
- 动物行为 动物行为
- 数据挖掘 数据挖掘
- 动物福利 动物福利
背景情况:
- 行为分析对于评估动物的适应性和福祉至关重要.
- 传统的统计忽略了行为数据中的时间序列.
- 环境丰富可以改善 brojler 福利和减轻热应激.
研究的目的:
- 验证通用序列模式 (GSP) 算法用于分析肉行为.
- 为了确定热应激和丰富环境中的行为之间的时间相关性.
- 评估环境丰富对肉适应热应激的影响.
主要方法:
- 在48小时内自动收集视频图像.
- 在两天内对7小时 (12点到6点) 的时间进行分析.
- 应用GSP算法来识别在舒适和热应激条件下的富和非富环境中的行为序列.
主要成果:
- 在两种环境中,舒适温度都显示出特定的行为序列 (例如,<{Ld,P}>,<{E,W,F}>).
- 热应力显著减少了观察到的顺序模式的数量.
- 侧卧 (Ll) 行为,表明热应激,仅在非丰富的环境中普遍存在.
结论:
- GSP算法有效地识别了 brojler的时间行为模式.
- 环境丰富改变肉的行为模式,并增强适应热应激.
- 丰富可以为肉提供更好的应对机制,以应对环境挑战,如热量.
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