| 徐温新,李艳,代允超,吕家珑.影响小白菜铅吸收的土壤因素和预测模型研究[J].农业环境科学学报,2018,37(8):1584-1591. |
| 影响小白菜铅吸收的土壤因素和预测模型研究 |
| Determination and prediction of lead uptaked by Brassica chinensis |
| 投稿时间：2017-11-28 |
| DOI：10.11654/jaes.2017-1626 |
| 中文关键词: 铅 转移特性 小白菜 控制因素 预测模型 |
| 英文关键词: lead transfer characteristic Brassica chinensis controlling factor prediction model |
| 基金项目:"十三五"科技部重点专项（2017YFD0200200/2017YFD0200205）；"十二五"国家科技支撑计划项目（2015BAD22B02）；陕西省科技创新项目（2016KTZDNY03-01） |
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| 摘要点击次数: 1995 |
| 全文下载次数: 2008 |
| 中文摘要: |
| 铅（Pb）的生物有效性、移动性和转移特征对环境和食品安全至关重要。本研究采集我国15个省份理化性质差异很大的土壤，利用温室试验，以小白菜为研究对象，通过外源添加Pb，研究Pb从土壤向植物的运移，探索影响Pb生物有效性的主要土壤因素，并建立预测模型。结果表明，土壤总Pb含量、有机碳（OC）含量、pH对植物吸收Pb有显著影响。植物Pb含量和土壤Pb含量呈正相关，而土壤pH和OC含量则与植物Pb含量呈负相关。相比于单因素回归分析，逐步多元线性回归在评价Pb生物有效性时，相关性更高，决定系数R2由0.83提高到0.94。Pb在酸性土壤中生物富集系数（BCF）较碱性土壤中更大。利用合并CK、Pb1和Pb2处理（n=45）得到的Freundlich预测方程（lg Cplant Pb=1.14 lg Csoil Pb-0.19pH-0.63lgCOC+1.92，R2=0.94，RMSE=0.11）能更准确地评估Pb在土壤中的生物有效性，试验结果可用于预测Pb从土壤到植物的转移。 |
| 英文摘要: |
| The estimation of heavy metal bioavailability, mobility, and movement is important for ensuring environment and food safety. We conducted a greenhouse study, using Brassica chinensis and 15 soils, to investigate the uptake of lead(Pb)by plants and to construct a model for predicting the main factors that influence Pb bioavailability. The results showed that soil organic carbon(OC)content, pH, and total Pb content significantly affected Pb uptake, and the Pb contents of the plants and soil were positively correlated, whereas the soil pH and OC were negatively correlated with plant Pb. Multivariable(pH, OC, and total soil Pb)regression models(R2=0.94)were more accurate for estimating Pb bioavailability than single-factor(total soil Pb)models(R2=0.83). The greatest bioconcentration factor(BCF)was measured for acidic soils. The most accurate Freundlich equation for estimating Pb bioavailability(lg[plant Pb]=1.14 lg[soil Pb]-0.19pH-0.63lg[OC]+1.92)was developed using data from combined CK and Pb treatments(R2=0.94, RMSE=0.11, n=45)and could be used to predict Pb uptake. |
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