Evidence map›Paper›PMID 40993883›Full record

ReviewPhysiologia plantarum

Decoding Plant Metabolomic Response to Potassium and Nutrient Stresses in Controlled Environments.

Md Mazadul Islam, Li Li, Jing He, Afroz Naznin, Samsul Huda, Talaat Ahemd, David Tissue, Zhong-Hua Chen

Abstract readReview
In one paragraph

Review in Physiologia plantarum. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Review
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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

8 authors.

Md Mazadul IslamSchool of Science, Western Sydney University, Penrith, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6274-6890
Li LiSchool of Science, Western Sydney University, Penrith, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6824-6192
Jing HeSchool of Science, Western Sydney University, Penrith, New South Wales, Australia.ORCID https://orcid.org/0000-0001-5973-2335
Afroz NazninSchool of Science, Western Sydney University, Penrith, New South Wales, Australia.ORCID https://orcid.org/0000-0001-8428-6146
Samsul HudaSchool of Science, Western Sydney University, Penrith, New South Wales, Australia.
Talaat AhemdEnvironmental Science Center, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0001-8022-1855
David TissueNational Vegetable Protected Cropping Centre, Western Sydney University, Richmond, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8497-2047
Zhong-Hua ChenSchool of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Glen Osmond, South Australia, Australia.ORCID https://orcid.org/0000-0002-7531-320X

Funding

Australian Research Council FT210100366CRC Future Food Systems P2-016CRC Future Food Systems P2-018Qatar National Research Fund MME01-0826-190018Western Sydney University
6 · The paper itself

Abstract

Potassium (K) is an essential macronutrient, affecting numerous physiological, biochemical, and metabolic functions in plants. In protected cropping systems (PCS), which are controlled environments for intensive agriculture, optimizing K management is essential for attaining sustainable productivity and resilience under stressful growth conditions. Understanding plant responses to these conditions requires advanced analytical approaches, and metabolomics is emerging as a key tool, though there is still a lack of PCS-focused metabolomic studies. This review synthesizes the recent knowledge on plant metabolomic responses to K as a nutrient, emphasizing the central role of metabolomics in uncovering intricate biochemical pathways associated with K uptake, transport, and utilization. We investigate essential metabolic alterations in response to K deficiency, encompassing modifications in glucose metabolism, antioxidant synthesis, osmolyte accumulation, and hormonal regulation. The review also explores the relationships between potassium and other nutrients, specifically nitrogen, phosphorus, and essential micronutrients, and their impact on total plant metabolic networks. Furthermore, we discuss cutting-edge omics integration, precision fertigation, real-time sensor technologies, and machine learning applications that together promise to transform K fertilizer management in PCS. Future directions highlight the advancement of K-efficient cultivars, integrating metabolomic biomarkers in breeding, and overcoming challenges in data interpretation, scalability, and the high cost of metabolomic analyses and phenotyping technologies. Collectively, these insights provide a framework for improving crop health, production, and nutrient utilization efficiency for a more sustainable future in protected cropping.

Indexed as

MetabolomicsNutrientsPlantsPotassiumCrops, AgriculturalNitrogenStress, PhysiologicalNitrogenNutrientsPotassiumabiotic stressescontrolled environment agriculturenutrient deficiencyplant metabolomicspotassium use efficiencyprotected cropping

Identifiers

PMID40993883
PMCPMC12460989

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.