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The Transfer Characteristics of Potentially Toxic Trace Elements in Different Soil-Rice Systems and Their Quantitative Models in Southeastern China

机译:中国东南部不同土壤-水稻系统中潜在毒性微量元素的迁移特征及其定量模型

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摘要

The potentially toxic trace elements (PTEs) transfer characteristics in the soil-rice system plays an important role in soil quality management, and it can be used to guide the safe rice production. We collected soil and rice samples from three typical rice production areas (Nanxun, Shengzhou, Wenling in northern, central, and southern parts of Zhejiang Province, China). The controlling factors of PTEs′ transfer were studied for Hybrid rice and Japonica rice. The results indicated that the pH, organic matter (OM), and electrical conductivity (EC) values of Shengzhou were all lower than that of the other two production areas (Nanxun and Wenling). The concentrations of PTEs in the soils of Wenling were significantly higher than that in the other two areas, while the concentrations of PTEs in the rice of Shengzhou were significantly higher than that of Wenling and Nanxun (p < 0.05). The enrichment index (EI) of PTEs were also different in the three production areas. The EIs of Cd and Zn were higher than that of Cu and Ni in the three production areas, and the EIs in Shengzhou were significantly higher than that of other two areas (p < 0.05). The soil physico-chemical properties and PTEs’ fractions both played important roles in PTEs transfer in the soil-rice system. The log-linear model of EI for PTEs can predict the availability of PTEs in the soil-rice system under practical production areas. The accuracy of the model prediction of EI for Japonica rice was better than that for the Hybrid rice. The prediction model of Ni was better than that of other PTEs for both rices.
机译:土壤-水稻系统中潜在的有毒微量元素(PTEs)传递特性在土壤质量管理中起着重要作用,可用于指导水稻的安全生产。我们从三个典型的水稻产区(中国浙江省北部,中部和南部的南x,Sheng州,温岭)采集了土壤和水稻样品。研究了杂交水稻和粳稻PTEs转移的控制因素。结果表明,Sheng州的pH,有机物(OM)和电导率(EC)值均低于其他两个产区(南x和温岭)。温岭地区土壤中的PTE含量明显高于其他两个地区,而Sheng州水稻中的PTE含量则明显高于温岭和南x(p <0.05)。在三个生产区域中,PTE的富集指数(EI)也不同。三个产区的Cd和Zn的EIs均高于Cu和Ni的EIs,Sheng州的EIs显着高于其他两个产区(p <0.05)。土壤的理化性质和PTE的分数均在土壤-水稻系统中PTE的转移中起着重要作用。 EI的PTE的对数线性模型可以预测实际生产区域下土壤-水稻系统中PTE的可用性。粳稻EI的模型预测精度优于杂交稻。两种水稻的Ni预测模型均优于其他PTE。

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