ORCID Profile
0000-0002-7696-731X
Current Organisations
Southern Cross University
,
University of Adelaide
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Publisher: Wiley
Date: 31-12-2020
DOI: 10.1002/JSFA.10157
Abstract: 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.
Publisher: Proceedings of the National Academy of Sciences
Date: 06-05-2015
Abstract: Plant roots function as an interface between plants and the complex soil environment. Root systems of higher plants consist of different root types (RTs) that maximize their adaptive potential in heterogenous soil for nutrient uptake and anchorage. This study pioneers the molecular examination of in idual RTs of adult rice root systems. The global signature of the transcriptional activity of each RT reveals significant quantitative and qualitative differences that predict functional ersity and specialization. Interaction with naturally prevalent beneficial mycorrhizal fungi profoundly modulated the relationship across the RTs such that the crown root transcriptome resembled that of lateral roots. The alteration of secondary cell wall synthesis in colonized roots is consistent with previously reported changes in root system architecture of mycorrhizal plants.
Publisher: MDPI
Date: 07-04-2020
Publisher: Frontiers Media SA
Date: 19-05-2015
Publisher: Frontiers Media SA
Date: 21-06-2022
Abstract: Informed policy and decision-making for food systems, nutritional security, and global health would benefit from standardization and comparison of food composition data, spanning production to consumption. To address this challenge, we present a formal controlled vocabulary of terms, definitions, and relationships within the Compositional Dietary Nutrition Ontology (CDNO, www.cdno.info ) that enables description of nutritional attributes for material entities contributing to the human diet. We demonstrate how ongoing community development of CDNO classes can harmonize trans-disciplinary approaches for describing nutritional components from food production to diet.
Publisher: Springer International Publishing
Date: 2022
Publisher: Wiley
Date: 03-2020
DOI: 10.1002/CSC2.20092
Abstract: Meeting the challenge of food and nutritional security requires ongoing innovation, particularly in managing dietary nutritional information for pre‐breeding analysis, selection, and cultivation of specific food crops and cultivars. At present, the ability to compare the relative nutritional value of crops is limited, with data management systems for most crops often inconsistent and poorly integrated. Here, we review generic efforts to standardize the description and management of crop trait data and discuss several issues currently constraining their exchange and comparison, with a focus on knowledge representation related to dietary nutrition. These issues include lack of consistency within or between crop specific databases, as well as limited data standardization and interoperability. At present, the use of common descriptors or controlled vocabularies between crops is fragmentary, with only partial implementation or uptake of formal ontologies, particularly for dietary nutritional composition. Although development of the existing Crop Ontology (CO) system has improved data sharing and reuse, it represents only a limited set of trait classes and crops. We identify the need for more robust and generic ontologies, particularly those that may address crop contributions to human dietary nutrition. We propose development of a Crop Dietary Nutrition Ontology (CDNO) as a robust structured controlled vocabulary for dietary nutritional composition and function, and provide ex les of specific use cases and different end users who would benefit from using CDNO terms in their database searches. This development is likely to transform the way in which crops may be compared in terms of optimal dietary nutritional values.
No related grants have been discovered for Liliana Andrés Hernandéz.