Development and comparison of regression models for the uptake
of metals into various field crops

J 2015

Development and comparison of regression models for the uptake of metals into various field crops

NOVOTNÁ, Markéta, Ondřej MIKEŠ and Klára KOMPRDOVÁ

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10511 Environmental sciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

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

Abstract

V originále

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 project

Name: RECETOX ? Národní infrastruktura pro výzkum toxických látek v prostředí

Investor: Ministry of Education, Youth and Sports of the CR

LO1214, research and development project

Name: Centrum pro výzkum toxických látek v prostředí (Acronym: RECETOX)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

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.

@article{1336988,
   author = {Novotná, Markéta and Mikeš, Ondřej and Komprdová, Klára},
   article_location = {OXFORD (ENGLAND)},
   article_number = {DEC 2015},
   doi = {http://dx.doi.org/10.1016/j.envpol.2015.09.043},
   keywords = {Prediction models; Linear regression; Heavy metals; Field crops; Plant uptake},
   language = {eng},
   issn = {0269-7491},
   journal = {Environmental Pollution},
   title = {Development and comparison of regression models for the uptake of metals into various field crops},
   url = {http://www.sciencedirect.com/science/article/pii/S0269749115300907},
   volume = {207},
   year = {2015}
}

TY  - JOUR
ID  - 1336988
AU  - Novotná, Markéta - Mikeš, Ondřej - Komprdová, Klára
PY  - 2015
TI  - Development and comparison of regression models for the uptake of metals into various field crops
JF  - Environmental Pollution
VL  - 207
IS  - DEC 2015
SP  - 357-364
EP  - 357-364
PB  - Elsevier Science
SN  - 02697491
KW  - Prediction models
KW  - Linear regression
KW  - Heavy metals
KW  - Field crops
KW  - Plant uptake
UR  - http://www.sciencedirect.com/science/article/pii/S0269749115300907
L2  - http://www.sciencedirect.com/science/article/pii/S0269749115300907
N2  - 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.
ER  -

NOVOTNÁ, Markéta, Ondřej MIKEŠ and Klára KOMPRDOVÁ. Development and comparison of regression models for the uptake of metals into various field crops. \textit{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.

Detailed Information on Publication Record