Improving interoperability between phenomics and modelling communities by designing a Plant Modelling Ontology (PMO)
(2020) 9th International Conference on FUNCTIONAL-STRUCTURAL PLANT MODELS — Location: Hanovre (5.October.2020)
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- Abstract
- In recent years, plant phenomics has produced massive datasets involving millions of images in experiments performed in the field and in controlled conditions, concerning hundreds of genotypes at different phenological stages and scales (Tardieu et al., 2017). In the future, information extracted from these datasets will be used increasingly as variables or parameters of mathematical and computational models, thereby broadening the scope of information extracted from phenomics data (Muller and Martre, 2019). Feeding such data to structural plant models (SPMs), functional plant models (FPMs), functional-structural plant models (FSPMs) and process-based crop simulation models (CSMs) in ad hoc pipelines has the potential to derive high-throughput predictions of integrated (e.g. yield) or functional traits (e.g. root system architecture) across a wide range of target environments or management practices (Chen et al., 2019). Unfortunately, the connectivity between these two communities is greatly limited by the absence of a common semantic framework and harmonized vocabulary.
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Citations
Saint Cast, C., Lobet, G., Cabrera-Bosquet, L., Couvreur, V., Pradal, C., Muller, B., Tardieu, F., & Draye, X. (2020). Improving interoperability between phenomics and modelling communities by designing a Plant Modelling Ontology (PMO). In Katrin Kahlen, Tsu-Wei Chen, Andreas Fricke, Hartmut Stützel (ed.), FSPM2020: Towards Computable Plants (p. p. 193 p). Institute of Horticultural Production Systems. https://hdl.handle.net/2078.5/220934