4.7 Article

Changeable effects of coexisting heavy metals on transfer of cadmium from soils to wheat grains

Journal

JOURNAL OF HAZARDOUS MATERIALS
Volume 423, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jhazmat.2021.127182

Keywords

cadmium; coexisting heavy metals; accumulation; soil; wheat

Funding

  1. National Key Research and Development Program of China [2019YFC1803803, 2017YFD0800700]
  2. Key Research and Development Program of Liaoning [2019JH2/10300047]
  3. Science & Technology Inno-vation Fund of Dalian [2019J12SN73]
  4. Fundamental Research Funds for the Central Universities

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The effects of coexisting heavy metals on the transfer of Cd in wheat grains were found to be changeable, with zinc showing a stronger inhibitory effect than lead and copper. A predictive model of grain Cd using soil zinc, along with other factors, was constructed and validated with good accuracy levels.
Cadmium (Cd) and other heavy metals usually coexist in soils. Effects of coexisting heavy metals on the accumulation and transfer of Cd in field soils by wheat remain poorly understood. Here we revealed changeable effects of coexisting Pb, Zn and Cu on the Cd transfer from soils to wheat grains. Soil burdens of Cd were found to exhibit positive correlations (r = 0.459-0.946) with those of coexisting Pb, Zn and Cu (particularly Pb). Effects of three coexisting metals on to the uptake of Cd by wheat varied in the directions and/or extents with types of metals and transfer processes of Cd. Coexisting Zn inhibited the uptake of Cd by wheat grains to higher extent than Pb and Cu. Soil Zn, along with soil Cd, soil pH and soil Ca, was used to construct the predictive model of grain Cd (R2 = 0.868). External verifications of the model on 572 datasets of large representation performed well. The predictive accuracy was about 54%, 73% and 89% for a factor of 1, 2 and 5 above and below the ideal fit, respectively. This finding has practical interest in risk assessments and remediation measures of Cdcontaminated soil sites in regional scales.

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