Preservation of an Automated Feeding System to Enhance Nonhuman Primate Social Management

保留自动喂养系统以加强非人类灵长类动物的社会管理

• 批准号: 10601495
• 负责人: Kelly F Ethun
• 金额: $ 25.85万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10601495
• 关键词: Administrative Supplement; Aggressive behavior; Animal Feed; Animals; Award; Behavioral; Biomedical Research; Breeding; Caring; Censuses; Clinical; Data; Databases; Devices; Diet Research; Equipment; Event; Feeding Patterns; Food; Fostering; Funding; Future; Goals; Gold; Growth; Health; Housing; Injury; Investments; Leadership; Letters; Macaca mulatta; Machine Learning; Manufacturer Name; Memory; Methodology; Methods; Monoclonal Antibody R24; Network Infrastructure; Network-based; Operating System; Overweight; Parents; Pathway Analysis; Pattern; Performance; Personal Satisfaction; Population; Practice Management; Primates; Request for Applications; Research; Resources; Rhesus; Risk; Running; Schedule; Science; Social Dominance; System; Time; Vendor; Weight maintenance regimen; animal resource; base; behavior observation; cost; data access; data acquisition; data management; family structure; feeding; fighting; flexibility; improved; machine learning model; male; member; nonhuman primate; obesity management; operation; pandemic disease; parent grant; parent project; physical conditioning; preservation; social; social group; success; time use; validation studies; virtual machine; wasting; wound

ABSTRACT For the past 8 years, the YNPRC Field Station has successfully maintained a large-scale automated feeding system to enhance the care and management of its rhesus macaque social groups. Currently, 8 compounds are equipped with automated feeders, housing approx. 37% of its SPF rhesus population. This automated feeding system offers several advantages over standard bin feeding practices, including reduced food waste, improved clinical oversight of animal health, weight management of overweight animals, and an automated method to conduct group census. Given our prior success, recent research efforts have focused on increasing the utility of feeding data in nonhuman primate (NHP) social management. Indeed, a common challenge in rhesus social management is the utilization of efficient social health surveillance methodology to identify groups at risk for social instability before the onset of significant fighting and wounding. The interactions that define dominance and affiliative relationships in these groups are sparce; thus, the gathering of sufficient behavioral data to unequivocally detect social instability requires considerable time and staff resources. The parent grant (R24 OD030035) of this supplement application seeks to establish a more efficient data acquisition strategy for NHP social management by developing feeding interaction network (FIN)-based machine learning (ML) models that can be used to supplement behavioral data and help managers identify groups at risk for social instability. Although the automated feeding system at the YNPRC Field Station has been operated successfully for many years, we have recently encountered unanticipated equipment challenges. First, the circuit boards of our oldest feeder units have been discontinued by the manufacturer. Currently, two compounds are equipped with these older feeders (4 units/compound) and one unit’s circuit board is non-operational. Secondly, the virtual machine operating system of our current data server is no longer supported and cannot receive upgrades. Thus, this supplement application requests support for 1) 8 new automated feeders to replace 8 discontinued units and 2) an upgraded server with a faster processor and large storage capacity along with a new virtual machine operating system, to preserve the 8-compound automated feeding system at the YNPRC Field Station. Given that automated feeding data is central to the aims of the parent grant, the purchase of an upgraded server and automated feeding units is critical to the success of this project and its potential to improve animal wellbeing and management efficiency, which in turn, fosters the conduct of high-quality science using NHPs. Additionally, the preservation of an 8-compound automated feeding system will allow necessary flexibility to select the most appropriate social groups to study (2 groups/yr, 6 groups total), considering changes in breeder male introduction schedules, group size and stability, and family structures. Use of the most appropriate social groups based on criteria outlined in the parent grant will be critical for building robust FIN-driven ML models that will exert a sustained impact on NHP social management practices at YNPRC and other captive NHP colonies.

抽象的 在过去的8年中，YNPRC野战站成功维护了大规模的自动喂食 加强其恒河猕猴社会群体的护理和管理的系统。 配备自动馈线，外壳约 系统提供了比标准垃圾箱喂养实践的几个优势，倾斜的减少食物浪费，改进了 对动物健康的临床监督，超重动物的体重管理以及一种自动化方法 进行集体人口普查。 在非人类灵长类动物（NHP）社会管理中喂养数据。 管理是利用效率监视方法的效力，以识别有风险的群体 在重大战斗和伤害的互动之前，社会稳定性。 这些群体中的隶属关系是卑鄙的； 明确地检测社会的不变性需要大量的时间和员工资源（R24） 该支持申请的OD030035）旨在建立更建立的NHP的收购策略 通过开发喂养交互网络（FIN）的机器学习（ML）模型，社会管理 可用于补充行为数据，并帮助管理人员确定有社会不稳定风险的群体。 尽管YNPRC现场站的自动喂食系统已成功运营 几年，我们最近遇到了意外的设备挑战。 制造商已经停止了喂食器单位。 较旧的馈线（4个单位/化合物）和一个单元的电路板是非操作的 我们当前的数据服务器的操作系统不再支持，因此无法接收升级 恳求申请要求支持1）8个新的自动化喂食器，以替换8个已终止的单元2） 带有更快的处理器和大型存储空间的升级服务器以及新的虚拟机 系统，以保留YNPRC现场站的8个复合自动喂养系统。 给定的Tomed Feeding数据是父母赠款的目标，购买了升级 服务器和自动喂食单元对于该项目成功的成功至关重要，并且有可能改善动物 福利和管理效率又促进了使用NHP的高质量科学的行为。 此外，保存8个复合自动喂养系统也将允许必要 选择最合适的社会群体（2组/年，总共6组），考虑种鸽的变化 男性介绍时间表，小组规模和稳定性以及家庭结构。 基于父母赠款中概述的标准的小组将通过建立Robusten Robusten ML模型至关重要 将对YNPRC和其他圈养的NHP殖民地的NHP社会管理实践产生持续影响。