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Modelling as a tool for the teaching of livestock dynamics

机译:建模作为家畜动力学教学的工具

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Modelling is a way of integrating and formalising the knowledge about how a system works. Thus, it is a relevant approach for teaching agricultural systems analysis to undergraduate students. In most cases, research models or decision support tools cannot be easily used for teaching purposes because conceptual models are too complex to be handled by students during a short training course or do not fit pedagogic goals. However, from our own modelling research, we developed two techniques to support our teaching program in herd dynamics. The first one was based on a deterministic approach and used simple flow diagrams. Students had to fill in a paper chart that depicts the breeding scheme of a flock for several years. Thus, they test if a combinationof decision rules (e.g., breeding, replacement, culling) allows to reach a given production objective. Then, students had to suggest technical means or management decisions that could improve flock productivity. The second technique relied on a stochastic matrix model that was used to illustrate the sensitivity of herd productivity in a tropical environment. The model was computerised using spreadsheets. On the basis of the simulation results, students had to comment on the behaviour of the system andto appraise the model, with respect to the choice of assumptions and formalisation. Because our teaching approach is progressive and interactive, we are confident that students will become well-informed users of more elaborated models such as decision support tools.
机译:建模是一种集成和形式化有关系统工作原理的方法。因此,这是向本科生教授农业系统分析的一种相关方法。在大多数情况下,研究模型或决策支持工具不能轻易用于教学目的,因为概念模型太复杂,以至于在短期培训课程中学生无法处理,或者不符合教学目标。但是,通过我们自己的建模研究,我们开发了两种技术来支持我们的畜群动力学教学计划。第一个是基于确定性方法的,并使用了简单的流程图。学生们必须填写一张纸质图表,描述几年来的鸡群繁殖方案。因此,他们测试决策规则的组合(例如,育种,替代,淘汰)是否可以达到给定的生产目标。然后,学生必须提出可以提高鸡群生产率的技术手段或管理决策。第二种技术依赖于随机矩阵模型,该模型用于说明热带环境下畜群生产力的敏感性。该模型使用电子表格进行了计算机化处理。在模拟结果的基础上,学生不得不就假设的选择和形式化对系统的行为进行评论并评估模型。因为我们的教学方法是渐进的和互动的,所以我们相信学生将成为使用更详尽的模型(例如决策支持工具)的明智用户。

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