Chapitre D'ouvrage Année : 2025

High-throughput Plant Metabolomics and Predictive Modelling

Résumé

This chapter explores advances and methodologies in high-throughput metabolic phenotyping through metabolomics and predictive modeling to enhance the understanding of plant metabolism. Key techniques, data analysis tools, and applications in plant science research are discussed. The potential of predictive modeling to identify new metabolic pathways and markers associated with plant performance and improve crop traits is highlighted. Future directions and challenges in the field are also examined.

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Dates et versions

hal-05191959 , version 1 (29-07-2025)

Identifiants

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Millena C. Barros Santos, Cathleen Mirande-Ney, Thomas Dussarrat, Guillaume Marti, Alain Bouchereau, et al.. High-throughput Plant Metabolomics and Predictive Modelling. High-Throughput Plant Metabolomics, CABI, pp.38-66, 2025, CABI Biotechnology Series, ⟨10.1079/9781800626911.0003⟩. ⟨hal-05191959⟩
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