NOVOTNÁ, Markéta, Ondřej MIKEŠ and Klára KOMPRDOVÁ. Development and comparison of regression models for the uptake of metals into various field crops. Environmental Pollution. OXFORD (ENGLAND): Elsevier Science, 2015, vol. 207, DEC 2015, p. 357-364. ISSN 0269-7491. Available from: https://dx.doi.org/10.1016/j.envpol.2015.09.043.
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Basic information
Original name Development and comparison of regression models for the uptake of metals into various field crops
Authors NOVOTNÁ, Markéta (203 Czech Republic, belonging to the institution), Ondřej MIKEŠ (203 Czech Republic, guarantor, belonging to the institution) and Klára KOMPRDOVÁ (203 Czech Republic, belonging to the institution).
Edition Environmental Pollution, OXFORD (ENGLAND), Elsevier Science, 2015, 0269-7491.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10511 Environmental sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.839
RIV identification code RIV/00216224:14310/15:00086756
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1016/j.envpol.2015.09.043
UT WoS 000366617500041
Keywords in English Prediction models; Linear regression; Heavy metals; Field crops; Plant uptake
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Michaela Hylsová, Ph.D., učo 211937. Changed: 16/3/2016 17:43.
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.
Links
LM2011028, research and development projectName: RECETOX ? Národní infrastruktura pro výzkum toxických látek v prostředí
Investor: Ministry of Education, Youth and Sports of the CR
LO1214, research and development projectName: Centrum pro výzkum toxických látek v prostředí (Acronym: RECETOX)
Investor: Ministry of Education, Youth and Sports of the CR
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