Digital insights: bridging the phenotype-to-genotype divide

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


The convergence of autonomous platforms for field-based phenotyping with advances in machine learning for big data analytics and rapid sequencing for genome description herald the promise of new insights and discoveries in the plant sciences. Han et al. (2021) leverage these emerging tools to navigate the challenging path from field-based mapping of phenotypic features to identifying specific genetic loci in the laboratory: in this case, loci responsible for regulating daily flowering time in lettuce. While their contribution neatly illustrates these exciting technological developments, it also highlights the work that remains to bridge these multidisciplinary fields to more fully deliver upon the promise of digital agriculture.
Original languageEnglish (US)
Pages (from-to)2807-2810
Number of pages4
JournalJournal of Experimental Botany
Issue number8
StatePublished - Apr 2 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-04-08
Acknowledgements: Prof. M.F.M and M.T. are funded by the King Abdullah University of Science and Technology.

ASJC Scopus subject areas

  • Plant Science
  • Physiology


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