| Literature DB >> 35248492 |
Robert D Hall1, John C D'Auria2, Antonio C Silva Ferreira3, Yves Gibon4, Dariusz Kruszka5, Puneet Mishra6, Rick van de Zedde7.
Abstract
High-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.Entities:
Keywords: data integration; metabolomics; multimodal sensing; phenomics; plant phenotyping
Mesh:
Year: 2022 PMID: 35248492 DOI: 10.1016/j.tplants.2022.02.001
Source DB: PubMed Journal: Trends Plant Sci ISSN: 1360-1385 Impact factor: 22.012