Agriculture and Agri-Food Canada, Lethbridge, AB, Canada.
J Anim Sci. 2021 Feb 1;99(2). doi: 10.1093/jas/skab021.
Worldwide, our collective research and policy institutions, including the American Society of Animal Science (ASAS), are calling for more systems-based research and analysis of society's most pressing and complex problems. However, the use of systems analysis within animal science remains limited and researchers may not have the tools to answer this call. This review thus introduces important concepts in systems thinking methodology, such as policy resistance, feedback processes, and dynamic complexity. An overall rationale for systems thinking and analysis is presented, along with examples of the application of these concepts in current animal science research. In order to contrast systems approaches to more frequently employed event-oriented research frameworks, both frameworks are then applied to the ASAS' identified "Grand Challenge" problem of antimicrobial resistance (AMR) in order to compare these two kinds of analyses. Systems thinking stresses the importance of underlying system structures that lead to persistent problem behaviors vs a focus on unidirectional cause-and-effect relationships. A potential systems framework for animal production decisions to use antimicrobials is shown that more explicitly accounts for AMR in a way that can lead to different animal production decisions than the event-oriented framework. Acknowledging and accounting for fundamental system structures that can explain persistent AMR will lead to different potential solutions to this problem than would be suggested from more linear approaches. The challenges and benefits of incorporating systems methods into animal science research are then discussed.
在全球范围内,我们的集体研究和政策机构,包括美国动物科学学会(ASAS),都在呼吁进行更多基于系统的研究和分析,以解决社会上最紧迫和最复杂的问题。然而,动物科学领域内对系统分析的应用仍然有限,研究人员可能缺乏回答这一呼吁的工具。因此,本文介绍了系统思维方法中的一些重要概念,如政策阻力、反馈过程和动态复杂性。本文提出了系统思维和分析的总体原理,并举例说明了这些概念在当前动物科学研究中的应用。为了对比系统方法和更常采用的面向事件的研究框架,本文将这两种框架应用于 ASAS 确定的“重大挑战”问题——抗生素耐药性(AMR),以比较这两种分析方法。系统思维强调导致持续问题行为的潜在系统结构的重要性,而不是关注单向因果关系。本文展示了一个用于动物生产决策中使用抗生素的潜在系统框架,该框架更明确地考虑了 AMR,从而可以导致与面向事件的框架不同的动物生产决策。承认和考虑可以解释持续 AMR 的基本系统结构,将为解决这一问题提供不同于更线性方法的潜在解决方案。随后讨论了将系统方法纳入动物科学研究中的挑战和益处。