Unlocking the potential of plant phenotyping data through integration and data-driven approaches.

Curr Opin Syst Biol

Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 927, B-9052, Ghent, Belgium.

Published: August 2017

AI Article Synopsis

  • Plant phenotyping is a growing field driven by advancements in imaging sensors, enabling high-speed data collection for plant research.
  • The major challenge faced is managing the vast amount of data produced by automated systems, particularly in terms of data annotation and metadata collection.
  • Efforts are being made to integrate phenotypic data with -omics resources to better understand the relationship between phenotype and genotype, leading to deeper insights into essential plant processes.

Article Abstract

Plant phenotyping has emerged as a comprehensive field of research as the result of significant advancements in the application of imaging sensors for high-throughput data collection. The flip side is the risk of drowning in the massive amounts of data generated by automated phenotyping systems. Currently, the major challenge lies in data management, on the level of data annotation and proper metadata collection, and in progressing towards synergism across data collection and analyses. Progress in data analyses includes efforts towards the integration of phenotypic and -omics data resources for bridging the phenotype-genotype gap and obtaining in-depth insights into fundamental plant processes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477990PMC
http://dx.doi.org/10.1016/j.coisb.2017.07.002DOI Listing

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