Hall, Robert D.D'Auria, John C.Ferreira, António C. SilvaGibon, YvesKruszka, DariuszMishra, PuneetZedde, Rick van de2022-03-162022-03-162022-061360-1385http://hdl.handle.net/10400.14/37056High-throughput (HTP) plant phenotyping approaches are developing rapidly and are already helping to bridge the genotype–phenotype gap. However, technologies should be developed beyond current physico-spectral evaluations to extend our analytical capacities to the subcellular level. Metabolites define and determine many key physiological and agronomic features in plants and an ability to integrate a metabolomics approach within current HTP phenotyping platforms has huge potential for added value. While key challenges remain on several fronts, novel technological innovations are upcoming yet under-exploited in a phenotyping context. In this review, we present an overview of the state of the art and how current limitations might be overcome to enable full integration of metabolomics approaches into a generic phenotyping pipeline in the near future.engData integrationMetabolomicsMultimodal sensingPhenomicsPlant phenotypingjournal article10.1016/j.tplants.2022.02.0018512564973835248492000804394900007