title: Development and comparison of regression models for the uptake of metals into various field crops.
abstract: Field crops represent one of the highest contributions to dietary metal exposure. The aim of this study was to develop specific regression models for the uptake of metals into various field crops and to compare the usability of other available models. We analysed samples of potato, hop, maize, barley, wheat, rape seed, and grass from 66 agricultural sites. The influence of measured soil concentrations and soil factors (pH, organic carbon, content of silt and clay) on the plant concentrations of Cd, Cr, Cu, Mo, Ni, Pb and Zn was evaluated. Bioconcentration factors (BCF) and plant-specific metal models (PSMM) developed from multivariate regressions were calculated. The explained variability of the models was from 19 to 64% and correlations between measured and predicted concentrations were between 0.43 and 0.90. The developed hop and rapeseed models are new in this field. Available models from literature showed inaccurate results, except for Cd; the modelling efficiency was mostly around zero. The use of interaction terms between parameters can significantly improve plant-specific models.
authors.affiliation: Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Kamenice 753/5, pavillion A29, 625 00 Brno, Czech Republic. Electronic address: marketa.novotna@recetox.muni.cz.
authors.forename: Markéta
authors.initials: M
authors.lastname: Novotná
authors.affiliation: Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Kamenice 753/5, pavillion A29, 625 00 Brno, Czech Republic. Electronic address: mikes@recetox.muni.cz.
authors.forename: Ondřej
authors.initials: O
authors.lastname: Mikeš
authors.affiliation: Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, Kamenice 753/5, pavillion A29, 625 00 Brno, Czech Republic. Electronic address: komprdova@recetox.muni.cz.
authors.forename: Klára
authors.initials: K
authors.lastname: Komprdová
mesh_terms: D029741:Brassica rapa / Q000737:chemistry; D018556:Crops, Agricultural / Q000737:chemistry*; D018153:Czech Republic; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D005506:Food Contamination; D019216:Metals, Heavy / Q000032:analysis*; D008962:Models, Theoretical; D015999:Multivariate Analysis; D012044:Regression Analysis; D012987:Soil / Q000737:chemistry; D012989:Soil Pollutants / Q000032:analysis*; D014908:Triticum / Q000737:chemistry; D003313:Zea mays / Q000737:chemistry
chemical_list: D019216:Metals, Heavy; D012987:Soil; D012989:Soil Pollutants
keywords: Field crops; Heavy metals; Linear regression; Plant uptake; Prediction models