ArticleScientific reports2025
Deciphering the mitigating role of silicon on tomato seedlings under lambda cyhalothrin and difenoconazole coexposure.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Bioactive Potential and COX-2 Interaction ofMolecules (Basel, Switzerland) · 2026Article
- Eco-friendly remediation of Triflumuron-induced stress with Capsella bursa-pastoris extract.Scientific reports · 2025Article
- Potential effect of non-nitrogen fixing cyanobacteria Spirulina platensis on growth promotion of wheat (Triticum aestivum L.) under salt stress.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The multiple contamination of pesticides are common in farmland soil. However, there is a noteworthy knowledge gap regarding the ecophysiological response of co-exposure of pesticides on non-target crops under such conditions. Silicon (Si) was chosen to alleviate pesticides phytotoxicity due to its ability to improve plant growth and adaptive responses against xenobiotics exposure. This study explores the mechanisms of combined effects of lambda-cyhalothrin (CM), a synthetic pyrethroid insecticide and difenoconazole (DIF), a systemic triazole fungicide induced phytotoxicity and the potential of Si to alleviate CM + DIF toxicity by regulating growth, redox homeostasis, and antioxidant defense in tomato (Solanum lycopersicum L.) seedlings. The results showed that tomato growth and chlorophyll biosynthesis was significantly inhibited by individual and combined stress of CM and DIF, possibly due to induced oxidative stress. Interestingly, the extent of lipid peroxidation was much higher under CM and DIF co-exposure than under CM and DIF only, as indicated by MDA level, thus indicating the synergistic effect of pesticide on oxidative damage. Moreover, pesticide exposure significantly improved ascorbate peroxidase, peroxidase, glutathione S-transferase, reduced glutathione, and proline in tomato seedlings compared to control. Our study demonstrates that Si improves tomato seedling's tolerance to CM + DIF toxicity by enhancing pesticides metabolism through GSH-GST detoxification enzymes. Si supply also enhanced PAL activity and stimulated reactions in the phenylpropanoid pathway to produce phenolic and flavonoids in tomato seedlings under CM + DIF stress. Si promotes chlorophyll biosynthesis and reinforces the antioxidative system, thereby maintaining redox homeostasis and overall seedling growth under CM and DIF co-exposure. The findings provide valuable information about the underlying mechanisms of Si-mediated CM and DIF co-exposure response with potential use as effective bio-stimulants in agriculture to address pesticides phytotoxicity issues.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.