Southern Cross Plant Science, Southern Cross University, Lismore, Australia.
School of Biosciences, University of Nottingham, Nottingham, UK.
J Sci Food Agric. 2020 Mar 15;100(4):1495-1504. doi: 10.1002/jsfa.10157. Epub 2019 Dec 31.
Food security is recognized as a major global challenge, yet human food-chain systems are inherently not geared towards nutrition, with decisions on crop and cultivar choice not informed by dietary composition. Currently, food compositional tables and databases (FCT/FCDB) are the primary information sources for decisions relating to dietary intake. However, these only present single mean values representing major components. Establishment of a systematic controlled vocabulary to fill this gap requires representation of a more complex set of semantic relationships between terms used to describe nutritional composition and dietary function.
We carried out a survey of 11 FCT/FCDB and 177 peer-reviewed papers describing variation in nutritional composition and dietary function for food crops to identify a comprehensive set of terms to construct a controlled vocabulary. We used this information to generate a Crop Dietary Nutrition Data Framework (CDN-DF), which incorporates controlled vocabularies systematically organized into major classes representing nutritional components and dietary functions. We demonstrate the value of the CDN-DF for comparison of equivalent components between crop species or cultivars, for identifying data gaps and potential for formal meta-analysis. The CDN-DF also enabled us to explore relationships between nutritional components and the functional attributes of food.
We have generated a structured crop dietary nutrition data framework, which is generally applicable to the collation and comparison of data relevant to crop researchers, breeders, and other stakeholders, and will facilitate dialogue with nutritionists. It is currently guiding the establishment of a more robust formal ontology. © 2019 Society of Chemical Industry.
食品安全被认为是一个全球性的重大挑战,但人类食物链系统本质上与营养无关,作物和品种的选择决策也不是基于饮食成分。目前,食物成分表和数据库(FCT/FCDB)是与饮食摄入相关决策的主要信息来源。然而,这些信息仅提供了代表主要成分的单一平均值。为了填补这一空白,建立一个系统的受控词汇表需要表示用于描述营养成分和饮食功能的术语之间更复杂的语义关系。
我们对 11 个 FCT/FCDB 和 177 篇描述粮食作物营养成分和饮食功能变化的同行评议论文进行了调查,以确定构建受控词汇表所需的一整套术语。我们利用这些信息生成了一个作物饮食营养数据框架(CDN-DF),该框架将受控词汇系统地组织到代表营养成分和饮食功能的主要类别中。我们展示了 CDN-DF 用于比较作物物种或品种之间等效成分、识别数据差距和进行正式元分析的潜力。CDN-DF 还使我们能够探索营养成分与食物功能属性之间的关系。
我们生成了一个结构化的作物饮食营养数据框架,该框架通常适用于收集和比较与作物研究人员、培育者和其他利益相关者相关的数据,并将促进与营养师的对话。它目前正在指导更强大的正式本体的建立。© 2019 化学工业协会。