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Title (Primary) Element contents in shoots of sunflower (Helianthus annuus): Prediction versus measuring
Author Kötschau, A.; Büchel, G.; Einax, J.W.; Mirgorodsky, D.; Meißner, R.; von Tümpling, W.; Merten, D.;
Journal Chemie der Erde - Geochemistry
Year 2014
Department FLOEK; BOPHY;
Volume 74
Issue 3
Language englisch;
POF III (all) T31;
Keywords Phytoextraction; Sunflower; Shoot; Element content; Partial-least-squares (PLS) regression; Simple regression
UFZ wide themes RU1
Abstract Sunflower (Helianthus annuus) is cultivated as food and feed crop as well as for bioenergy production. It is also investigated towards its ability to remove contaminants from soil and accumulate them in the shoots (phytoextraction). So the reliable prediction of element contents in shoots based on soil contents would be advantageous to easily decide whether plants grown on a certain area could be either used as food and feed or for phytoremediation in combination with bioenergy production. However, it is desirable to predict element contents in plants based on only a few numbers of predictors. This would mean on the one hand a reduced effort in time and costs for analysis and on the other hand existing data on soil quality could be than used for estimations of the element uptake of plants on larger scales. Samples of sunflowers were used, that were grown in plots situated at two different sites in Germany and treated with different amendments (NPK-fertilizer, Streptomyces + Mycorrhiza, Rendzina). One site (heavy metal polluted) was the test field “Gessenwiese”, which is situated on the area of the former uranium leaching heap “Gessenhalde”. The other site (non-contaminated) was the lysimeter station Falkenberg. Shoot contents of Ca, Cd, Co, Cu, K, Ni, Pb, and Zn were correctly predicted by the mobile soil fraction extracted with 1 M NH4NO3 solution (simple regression), whereas for Mg, S, and U the specifically adsorbed soil fraction (extraction with 1 M NH4OAc solution) needs to be added as predictor (PLS regression). Mn was the only element in the data set for which simple regression based on total soil contents (digestion with HF, HClO4, and HNO3) had to be used be used for correct prediction in the studied data set.
ID 14729
Persistent UFZ Identifier http://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=14729
Kötschau, A., Büchel, G., Einax, J.W., Mirgorodsky, D., Meißner, R., von Tümpling, W., Merten, D. (2014):
Element contents in shoots of sunflower (Helianthus annuus): Prediction versus measuring
Chem. Erde-Geochem. 74 (3), 385 - 391