title: Major controlling factors and prediction models for arsenic uptake from soil to wheat plants.
abstract: The application of current Chinese agriculture soil quality standards fails to evaluate the land utilization functions appropriately due to the diversity of soil properties and plant species. Therefore, the standards should be amended. A greenhouse experiment was conducted to investigate arsenic (As) enrichment in various soils from 18 Chinese provinces in parallel with As transfer to 8 wheat varieties. The goal of the study was to build and calibrate soil-wheat threshold models to forecast the As threshold of wheat soils. In Shaanxi soils, Wanmai and Jimai were the most sensitive and insensitive wheat varieties, respectively; and in Jiangxi soils, Zhengmai and Xumai were the most sensitive and insensitive wheat varieties, respectively. Relationships between soil properties and the bioconcentration factor (BCF) were built based on stepwise multiple linear regressions. Soil pH was the best predictor of BCF, and after normalizing the regression equation (Log BCF=0.2054 pH- 3.2055, R(2)=0.8474, n=14, p<0.001), we obtained a calibrated model. Using the calibrated model, a continuous soil-wheat threshold equation (HC5=10((-0.2054 pH+2.9935))+9.2) was obtained for the species-sensitive distribution curve, which was built on Chinese food safety standards. The threshold equation is a helpful tool that can be applied to estimate As uptake from soil to wheat.
authors.affiliation: College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China.
authors.forename: Yunchao
authors.initials: Y
authors.lastname: Dai
authors.affiliation: College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China. Electronic address: ljlll@nwsuaf.edu.com.
authors.forename: Jialong
authors.initials: J
authors.lastname: Lv
authors.affiliation: College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China.
authors.forename: Ke
authors.initials: K
authors.lastname: Liu
authors.affiliation: College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China.
authors.forename: Xiaoyan
authors.initials: X
authors.lastname: Zhao
authors.affiliation: College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China.
authors.forename: Yingfei
authors.initials: Y
authors.lastname: Cao
mesh_terms: D000383:Agriculture; D001151:Arsenic / Q000378:metabolism*; D059022:Food Safety; D005544:Forecasting / Q000379:methods; D006863:Hydrogen-Ion Concentration; D016014:Linear Models; D012987:Soil / Q000737:chemistry*; D012989:Soil Pollutants / Q000378:metabolism*; D014908:Triticum / Q000378:metabolism*
chemical_list: D012987:Soil; D012989:Soil Pollutants; D001151:Arsenic
keywords: Arsenic; Controlling factors; Prediction models; Soil thresholds; Species sensitive distribution; Wheat