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Efficiency of different models for investigation of the responses of sunflower plant to Pb contaminations under SiO2 nanoparticles (NPs) and Pseudomonas fluorescens treatments

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Abstract

The risk assessment of the contaminated soils needs the use of precise models to estimate the uptake of potentially toxic metals by plants so possible human risks can be identified. Therefore, this study was undertaken to assess the responses of sunflower to different levels of lead (Pb) by using the macroscopic transpiration reduction models (Van Genuchten-Hoffman, Homaee, and Dirksen) under SiO2 nanoparticles (NPs) and Pseudomonas fluorescens treatments as the soil conditioners. The studied treatments were Pb in 5 levels (0, 300, 600, 900, and 1200 mg.kg−1), SiO2-NPs in two levels (0 and 200 mg.kg−1), and Pseudomonas fluorescens in two levels (with and without Pseudomonas inoculation). The results showed that SiO2-NPs and Pseudomonas fluorescens treatments increased the plant resistance to the Pb contamination. Also, the behavior of sunflower against Pb contamination was well-estimated by the studied models (R2 > 0.80) under different treatments. Both in the treated soils and in the control treatment, Van Genuchten-Hoffman and Dirksen models exhibited a relatively higher accuracy (a relatively higher R2 and a relatively lower RMSE and AIC) in estimating the studied traits compared to the Homaee model. In general, it is concluded that Van Genuchten-Hoffman and Dirksen models can be used with greater confidence just after their local calibration, but the model of Van Genuchten-Hoffman due to its simple equation may be preferred.

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Acknowledgements

The authors appreciate Department of Soil Science, University of Tehran, Karaj, Iran, for the support of this research.

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Contributions

Seyed Majid Mousavi: project administration, investigation, software, visualization, investigation, and writing—original draft preparation and editing; Babak Motesharezadeh: supervision; Hossein Mirseyed Hosseini: supervision; Ali Asghar Zolfaghari: conceptualization, methodology, data curation, software, and validation; Azadeh Sedaghat: software, validation, and formal analysis; Hoseinali Alikhani: resources.

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Correspondence to Seyed Majid Mousavi.

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Responsible Editor: Amjad Kallel

Highlights

1- Nanoparticles of SiO2 and Pseudomonas fluorescens improve plant growth and water absorption by the plant under Pb contamination.

2- Van Genuchten-Hoffman and Dirksen models have a relatively higher accuracy in estimating the traits compared to the Homaee model.

3- Homaee model has a low efficiency in estimating the water absorption by the plant.

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Mousavi, S.M., Motesharezadeh, B., Hosseini, H.M. et al. Efficiency of different models for investigation of the responses of sunflower plant to Pb contaminations under SiO2 nanoparticles (NPs) and Pseudomonas fluorescens treatments. Arab J Geosci 15, 1256 (2022). https://doi.org/10.1007/s12517-022-10557-w

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  • DOI: https://doi.org/10.1007/s12517-022-10557-w

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