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Prediction models for transfer of arsenic from soil to corn grain (Zea mays L.)

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Abstract

In this study, the transfer of arsenic (As) from soil to corn grain was investigated in 18 soils collected from throughout China. The soils were treated with three concentrations of As and the transfer characteristics were investigated in the corn grain cultivar Zhengdan 958 in a greenhouse experiment. Through stepwise multiple-linear regression analysis, prediction models were developed combining the As bioconcentration factor (BCF) of Zhengdan 958 and soil pH, organic matter (OM) content, and cation exchange capacity (CEC). The possibility of applying the Zhengdan 958 model to other cultivars was tested through a cross-cultivar extrapolation approach. The results showed that the As concentration in corn grain was positively correlated with soil pH. When the prediction model was applied to non-model cultivars, the ratio ranges between the predicted and measured BCF values were within a twofold interval between predicted and measured values. The ratios were close to a 1:1 relationship between predicted and measured values. It was also found that the prediction model (Log [BCF]=0.064 pH-2.297) could effectively reduce the measured BCF variability for all non-model corn cultivars. The novel model is firstly developed for As concentration in crop grain from soil, which will be very useful for understanding the As risk in soil environment.

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Acknowledgments

This work was jointly supported by the Special Projects Foundation of Beijing Municipal Sciences and Technology Commission (Project No. Z141105000614012), the Special Fund of Public Industry in China (Agriculture, project No. 200903015), and the Science and Technology project of Hebei Province (Project No. 15227504D).

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Authors and Affiliations

  1. Institute of Agricultural Resources and Regional Planning, Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, Beijing, 100081, People’s Republic of China

    Hua Yang, Zhaojun Li & Yongchao Liang

  2. Guizhou Key Laboratory of Mountain Environment, Guizhou Normal University, Guiyang, 550001, People’s Republic of China

    Hua Yang & Jian Long

  3. Scion, Christchurch, 29-237, New Zealand

    Jianming Xue & Murray Davis

  4. College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, People’s Republic of China

    Wenxiang He

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  1. Hua Yang
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  2. Zhaojun Li
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  3. Jian Long
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  4. Yongchao Liang
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  5. Jianming Xue
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  6. Murray Davis
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Correspondence to Zhaojun Li.

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Yang, H., Li, Z., Long, J. et al. Prediction models for transfer of arsenic from soil to corn grain (Zea mays L.). Environ Sci Pollut Res 23, 6277–6285 (2016). https://doi.org/10.1007/s11356-015-5851-2

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  • DOI: https://doi.org/10.1007/s11356-015-5851-2

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