Evidence map›Paper›PMID 41680436›Full record

ArticleScientific reports2026

The synergistic effect of grafting and LED light quality on enhancing the mineral nutrition and growth performance of tomato seedlings.

Seyedreza Soltani, Hossein Aroiee, Reza Salehi, Nazim S Gruda

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Seyedreza SoltaniDepartment of Horticultural Sciences, Ferdowsi University of Mashhad, Mashhad, Iran. se.soltani@alumni.um.ac.ir.
Hossein AroieeDepartment of Horticultural Sciences, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
Reza SalehiDepartment of Horticultural Sciences, Campus of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.
Nazim S GrudaDepartment of Horticultural Science, INRES-Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany. ngruda@uni-bonn.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light quality is a critical determinant in controlled environment agriculture, yet information regarding the interactive effects of spectral composition and grafting on tomato seedling performance remains limited. Moving beyond the assumption that rootstock vigor is solely a static trait, we hypothesized that above-ground spectral cues significantly modulate rootstock efficiency. We investigated the synergistic effects of grafting (Solanum lycopersicum 'Maxifort') and various LED spectra (monochromatic Red, Blue, White, and Red:Blue 70:30) on morphological architecture, photosynthetic potential, and the stoichiometric balance of mineral nutrients in tomato seedlings. Our results reveal a critical interaction: while grafting alone alleviated specific nutritional deficits (N, K, Mg) under suboptimal monochromatic red light, the rootstock's capacity to maximize the uptake of key elements-particularly phosphorus and calcium-was fully realized only under the synergistic Red:Blue spectrum. This study provides empirical evidence that integrating the R70:B30 spectrum with grafting not only improves growth but also optimizes resource acquisition. These findings offer a novel approach to optimizing transplant quality and establish a robust protocol for producing resilient transplants in modern nurseries. Future research should focus on unraveling the molecular pathways underlying this light-rootstock communication.

Indexed as

LightMineralsSeedlingsSolanum lycopersicumCalciumPhosphorusPhotosynthesisPlant RootsRed LightCalciumMineralsPhosphorusCEAControlled environment agriculturePhotomorphogenesisRootstockTransplant production

Identifiers

PMID41680436
PMCPMC12976050

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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.