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| Determination and prediction of lead uptaked by Brassica chinensis |
| Received:November 28, 2017 |
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| KeyWord:lead;transfer characteristic;Brassica chinensis;controlling factor;prediction model |
| Author Name | Affiliation | E-mail | | XU Wen-xin | College of Resources and Environment, Northwest A & F University, Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture, Yangling 712100, China | | | LI Yan | Shaanxi Monitoring Station of Agro-Environmental Protection, Xi'an 710003, China | | | DAI Yun-chao | College of Resources and Environment, Northwest A & F University, Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture, Yangling 712100, China | | | LÜ Jia-long | College of Resources and Environment, Northwest A & F University, Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture, Yangling 712100, China | ljlll@nwsuaf.edu.cn |
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| Abstract: |
| 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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