Evidence map›Paper›PMID 35266545›Full record

ArticlePlant physiology2022

Plant clock modifications for adapting flowering time to local environments.

Akari E Maeda, Norihito Nakamichi

Abstract read
In one paragraph

Article in Plant physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Identification of AhFPA1 as the causal gene underlying qEFT13.1, a key QTL for early flowering in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Identification of the causal mutation in early heading mutant of bread wheat (Molecular breeding : new strategies in plant improvement · 2024
    Article
  9. Review
  10. Review
  11. Article
  12. The Roles of theInternational journal of molecular sciences · 2023
    Article
  13. TheCells · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Focus on circadian rhythms.Plant physiology · 2022
    Article
  19. Article
  20. Article
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.

Akari E MaedaGraduate School of Science, Nagoya University, Nagoya, Japan.
Norihito NakamichiGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan.ORCID 0000-0002-8437-7846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During and after the domestication of crops from ancestral wild plants, humans selected cultivars that could change their flowering time in response to seasonal daylength. Continuous selection of this trait eventually allowed the introduction of crops into higher or lower latitudes and different climates from the original regions where domestication initiated. In the past two decades, numerous studies have found the causal genes or alleles that change flowering time and have assisted in adapting crop species such as barley (Hordeum vulgare), wheat (Triticum aestivum L.), rice (Oryza sativa L.), pea (Pisum sativum L.), maize (Zea mays spp. mays), and soybean (Glycine max (L.) Merr.) to new environments. This updated review summarizes the genes or alleles that contributed to crop adaptation in different climatic areas. Many of these genes are putative orthologs of Arabidopsis (Arabidopsis thaliana) core clock genes. We also discuss how knowledge of the clock's molecular functioning can facilitate molecular breeding in the future.

Indexed as

ArabidopsisHordeumOryzaCrops, AgriculturalFlowersHumansPisum sativumPlant Growth RegulatorsTriticumPlant Growth Regulators

Identifiers

PMID35266545
PMCPMC9516756

What OpenQuestion holds

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Registered trials

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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.