植物保护领域数学模型标准化描述注释方案的开发。

T Günther, C Büttner, A Käsbohrer, M Filter
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引用次数: 0

摘要

在食物链中有害生物的性质和行为的数学模型是农业和食品工业日益相关的方法。因此,目前在科学、经济和风险评估领域都有许多开发生物模型的努力。然而,在模型注释和模型格式方面缺乏国际统一的标准,这对于建立支持广泛的模型应用和信息交换的有效工具是必要的。在系统生物学领域有一些既定的标准,但在植物保护领域目前还没有相应的规定。因此,这项工作旨在使用特定于领域的元数据开发注释方案。该方案已在一个web数据库模型库的原型实现中得到验证。这个原型社区资源目前包含玉米中黄曲霉毒素分泌真菌黄曲霉的模型,因为这些模型与食品安全和经济影响高度相关。具体来说,包括描述真菌生物过程(生长、黄曲霉毒素分泌)的模型,以及剂量-反应和携带模型。此外,还整合了玉米物候模型。所开发的注释方案基于在系统生物学领域广泛应用的成熟的数据交换格式SBML。根据开发的方案对确定的示例模型进行注释,并输入到web表(Google Sheets)中,该表被转移到基于web的演示器中,该演示器可在https://sites.google.com/site/test782726372685/上获得。通过软件演示的实现,可以清楚地看到所提出的注释方案可以应用于植物病原体模型,并且在该领域的广泛采用可以促进数学模型的交流和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DEVELOPMENT OF AN ANNOTATION SCHEME FOR STANDARDIZED DESCRIPTION OF MATHEMATICAL MODELS IN THE FIELD OF PLANT PROTECTION.

Mathematical models on properties and behavior of harmful organisms in the food chain are an increas- ingly relevant approach of the agriculture and food industry. As a consequence, there are many efforts to develop biological models in science, economics and risk assessment nowadays. However, there is a lack of international harmonized standards on model annotation and model formats, which would be neces- sary to set up efficient tools supporting broad model application and information exchange. There are some established standards in the field of systems biology, but there is currently no corresponding provi- sion in the area of plant protection. This work therefore aimed at the development of an annotation scheme using domain-specific metadata. The proposed scheme has been validated in a prototype implementation of a web-database model repository. This prototypic community resource currently contains models on aflatoxin secreting fungal Aspergillus flavus in maize, as these models have a high relevance to food safety and economic impact. Specifically, models describing biological processes of the fungus (growth, Aflatoxin secreting), as well as dose-response- and carry over models were included. Furthermore, phenological models for maize were integrated as well. The developed annotation scheme is based on the well-established data exchange format SBML, which is broadly applied in the field of systems biology. The identified example models were annotated according to the developed scheme and entered into a Web-table (Google Sheets), which was transferred to a web based demonstrator available at https://sites.google.com/site/test782726372685/. By implementation of a software demonstrator it became clear that the proposed annotation scheme can be applied to models on plant pathogens and that broad adoption within the domain could promote communication and application of mathematical models.

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