Evidence map›Paper›PMID 35583356›Full record

ReviewPlant & cell physiology2023

Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity.

Takashi Hirayama, Keiichi Mochida

Abstract readReview
In one paragraph

Review in Plant & cell physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Research on the Hormonomics of ThreeAntioxidants (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Synergistic impact ofFrontiers in microbiology · 2024
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Takashi HirayamaInstitute of Plant Science and Resources, Okayama University, 2-20-1 Chuo, Kurashiki, Okayama, 710-0046 Japan.ORCID 0000-0002-3868-2380
Keiichi MochidaRIKEN Center for Sustainable Resource Science, 1-7-22 Suehirocho, Tsurumiku, Yokohama, Kanagawa, 230-0045 Japan.ORCID 0000-0003-1299-0024

Funding

Bio-oriented Technology Research Advancement Institution JPJ009237Core Research for Evolutional Science and Technology JPMJCR16O4Ministry of Education, Culture, Sports, Science and Technology 21H02509Ministry of Education, Culture, Sports, Science and Technology 21K19117
6 · The paper itself

Abstract

Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environmental resilience. Molecular genetics and genomic analyses have revealed that allelic variations in genes involved in phytohormone-mediated growth regulation have greatly improved productivity in major crops. Plant science has remarkably advanced our understanding of the molecular basis of various phytohormone-mediated events in plant life. These findings provide essential information for improving the productivity of crops growing in changing climates. In this review, we highlight the recent advances in plant hormonomics (multiple phytohormone profiling) and discuss its application to crop improvement. We present plant hormonomics as a key tool for deep physiological phenotyping, focusing on representative plant growth regulators associated with the improvement of crop productivity. Specifically, we review advanced methodologies in plant hormonomics, highlighting mass spectrometry- and nanosensor-based plant hormone profiling techniques. We also discuss the applications of plant hormonomics in crop improvement through breeding and agricultural management practices.

Indexed as

Crop ProductionPlant Growth RegulatorsAgricultureClimate ChangeCrops, AgriculturalPlant Growth RegulatorsBiosensorBiostimulantBreedingMass spectrometryPhytohormone

Identifiers

PMID35583356
PMCPMC9885943

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.