Data-intensive scientific workflows for model-assisted high-throughput phenotyping

Pradal Christophe. 2023. Data-intensive scientific workflows for model-assisted high-throughput phenotyping. In : Book of abstracts the 10th International Conference on Functional-Structural Plant Models (FSPM2023). Tsu-Wei Chen (ed.), Andreas Fricke (ed.), Katrin Kahlen (ed.), Susann Müller (ed.), Hartmut Stützel (ed.). Hannover : Institute of Horticultural Production Systems, Résumé, XVI. International Conference on Functional-Structural Plant Models (FSPM2023). 10, Berlin, Allemagne, 27 Mars 2023/31 Mars 2023.

Type d'url non précisé : https://hi.converia.de/custom/media/FSPM2023/FSPM2_2ss24_BOA_2023_v1.pdf

Note générale : Christophe Pradal est l'expert invité du Cirad

Résumé : High-throughput phenotyping platforms allow the study of the form and function of a large number of genotypes subjected to different growing conditions (GxE). Automatic computational pipelines for phenotyping are able to characterize the structure and the development of plants at an unprecedent resolution. Scientific workflows are way to schedule these complex pipelines on distributed cloud infrastructure, to manage the huge amount of data and to enhance the reproducibility of such experiments. In this presentation, I will discuss the recent developments in root and shoot phenotyping methods, how it challenges FSPM formalisms and platforms, and how scientific workflows management system can help to improve the connection between phenotyping and modelling communities while reducing the processing and environmental cost of the computation.

Mots-clés libres : OpenAlea, Phenotyping, Scientific workflows, FSPM

Auteurs et affiliations

• Pradal Christophe, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-2555-761X

Source : Cirad-Agritrop (https://agritrop.cirad.fr/607744/)

Métriques

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