Evidence map›Paper›PMID 24938230›Full record

ReviewMolecules and cells2014

Strategies for improving potassium use efficiency in plants.

Ryoung Shin

Abstract readReview
In one paragraph

Review in Molecules and cells, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Allelic variations of ClACO gene improve nitrogen uptake via ethylene-mediated root architecture in watermelon.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Fine mapping and candidate gene analysis of qRN5a, a novel QTL promoting root number in rice under low potassium.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  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

1 author.

Ryoung ShinRIKEN Center for Sustainable Resource Science, Yokohama 230-0045, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potassium is a macronutrient that is crucial for healthy plant growth. Potassium availability, however, is often limited in agricultural fields and thus crop yields and quality are reduced. Therefore, improving the efficiency of potassium uptake and transport, as well as its utilization, in plants is important for agricultural sustainability. This review summarizes the current knowledge on the molecular mechanisms involved in potassium uptake and transport in plants, and the molecular response of plants to different levels of potassium availability. Based on this information, four strategies for improving potassium use efficiency in plants are proposed; 1) increased root volume, 2) increasing efficiency of potassium uptake from the soil and translocation in planta, 3) increasing mobility of potassium in soil, and 4) molecular breeding new varieties with greater potassium efficiency through marker assisted selection which will require identification and utilization of potassium associated quantitative trait loci.

Indexed as

Gene Expression Regulation, PlantArabidopsisArabidopsis ProteinsBiological TransportBreedingCations, MonovalentIon PumpsPlant RootsPotassiumQuantitative Trait LociSoilArabidopsis ProteinsCations, MonovalentIon PumpsPotassiumSoilplantpotassium deficient signalingpotassium uptake efficiencypotassium use efficiency

Identifiers

PMID24938230
PMCPMC4145368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.