title: Cross-species extrapolation of prediction model for lead transfer from soil to corn grain under stress of exogenous lead.
abstract: There has been increasing concern in recent years regarding lead (Pb) transfer in the soil-plant system. In this study the transfer of Pb (exogenous salts) was investigated from a wide range of Chinese soils to corn grain (Zhengdan 958). Prediction models were developed with combination of the Pb bioconcentration factor (BCF) of Zhengdan 958, and soil pH, organic matter (OM) content, and cation exchange capacity (CEC) through multiple stepwise regressions. Moreover, these prediction models from Zhengdan 958 were applied to other non-model corn species through cross-species extrapolation approach. The results showed that the soil pH and OM were the major factors that controlled Pb transfer from soil to corn grain. The lower pH and OM could improve the bioaccumulation of Pb in corn grain. No significant differences were found between two prediction models derived from the different exogenous Pb contents. When the prediction models were applied to other non-model corn species, the ratio ranges between the predicted BCF values and the measured BCF values were within an interval of 2-fold and close to the solid line of 1∶1 relationship. Moreover, the prediction model i.e. Log[BCF] = -0.098 pH-0.150 log[OM] -1.894 at the treatment of high Pb can effectively reduce the measured BCF intra-species variability for all non-model corn species. These suggested that this prediction model derived from the high Pb content was more adaptable to be applied to other non-model corn species to predict the Pb bioconcentration in corn grain and assess the ecological risk of Pb in different agricultural soils.
authors.affiliation: Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Beijing, China.
authors.forename: Zhaojun
authors.initials: Z
authors.lastname: Li
authors.affiliation: Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Beijing, China ; Guizhou Key Laboratory of Mountain Environment, Guizhou Normal University, Guiyang, China.
authors.forename: Hua
authors.initials: H
authors.lastname: Yang
authors.affiliation: Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Beijing, China ; College of City and Environmental Sciences, Shanxi Normal University, Linfen, China.
authors.forename: Yupeng
authors.initials: Y
authors.lastname: Li
authors.affiliation: Guizhou Key Laboratory of Mountain Environment, Guizhou Normal University, Guiyang, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Long
authors.affiliation: Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture, Beijing, China.
authors.forename: Yongchao
authors.initials: Y
authors.lastname: Liang
mesh_terms: D002681:China; D008962:Models, Theoretical; D012987:Soil / Q000737:chemistry*; D012989:Soil Pollutants / Q000032:analysis*; D013045:Species Specificity; D013312:Stress, Physiological; D003313:Zea mays / Q000737:chemistry*
chemical_list: D012987:Soil; D012989:Soil Pollutants