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

文献类型： 外文期刊

第一作者： Yang, Hua

作者： Yang, Hua;Li, Zhaojun;Liang, Yongchao;Yang, Hua;Long, Jian;Xue, Jianming;Davis, Murray;He, Wenxiang

作者机构：

关键词： Arsenic;Soils;Corn grain;BCF;Prediction model;Cross-species extrapolation

期刊名称：ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH （ 影响因子：4.223； 五年影响因子：4.306 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： 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.

分类号： X5`X

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