State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, China.
Key Laboratory of Soil Contamination Bioremediation of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, China.
Int J Environ Res Public Health. 2019 Jul 13;16(14):2503. doi: 10.3390/ijerph16142503.
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 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 ( < 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 ( < 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 rice was better than that for the Hybrid rice. The prediction model of Ni was better than that of other PTEs for both rices.
土壤-水稻系统中微量有毒元素(PTEs)的迁移特征在土壤质量管理中起着重要作用,可用于指导安全水稻生产。本研究采集了中国浙江北部南浔、中部嵊州和南部温岭三个典型水稻种植区的土壤和水稻样品,研究了 PTEs 在杂交水稻和常规水稻中的迁移控制因素。结果表明,嵊州的 pH 值、有机质(OM)和电导率(EC)均低于其他两个种植区(南浔和温岭)。温岭土壤中 PTEs 的浓度明显高于其他两个地区,而嵊州水稻中 PTEs 的浓度明显高于温岭和南浔(<0.05)。三个种植区 PTEs 的富集指数(EI)也不同。Cd 和 Zn 的 EI 高于 Cu 和 Ni,且嵊州的 EI 明显高于其他两个地区(<0.05)。土壤理化性质和 PTEs 形态均对土壤-水稻系统中 PTEs 的迁移起重要作用。EI 的对数线性模型可预测实际生产区土壤-水稻系统中 PTEs 的有效性。该模型对常规水稻 EI 的预测精度优于杂交水稻。对两种水稻而言,Ni 的预测模型均优于其他 PTEs。