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Pregled bibliografske jedinice broj: 503054

Regression model for prediction availability of essential heavy metals in soils

Lončarić, Zdenko; Popović, Brigita; Karalić, Krunoslav; Rékási, Márk; Kovačević, Vlado
Regression model for prediction availability of essential heavy metals in soils // Proceedings of the 19th World Congress of Soil Science: Soil Solutions for a Changing World / Gilkes, Robert J. ; Prakongkep, Nattaporn (ur.).
Brisbane: IUSS (International Union of Soil Science), 2010. str. 92-95 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Regression model for prediction availability of essential heavy metals in soils

Autori
Lončarić, Zdenko ; Popović, Brigita ; Karalić, Krunoslav ; Rékási, Márk ; Kovačević, Vlado

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 19th World Congress of Soil Science: Soil Solutions for a Changing World / Gilkes, Robert J. ; Prakongkep, Nattaporn - Brisbane : IUSS (International Union of Soil Science), 2010, 92-95

ISBN
978-0-646-53783-2

Skup
19th World Congress of Soil Science: Soil Solutions for a Changing World

Mjesto i datum
Brisbane, Australija, 01.08.2010. - 06.08.2010

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
aqua regia ; EDTA ; iron ; manganese ; zinc ; copper ; nickel

Sažetak
The aim of paper was to compare relationshipsof total and plant available essential heavy metals in soils considering soil acidity and humus impacts. Regression models should provide additional data (EDTA extractable fraction) from available data (heavy metal total content, soil pH). The 60 soil samples were analysed for pH, humus, phosphorus, potassium, and additionally for essential heavy metals (Fe, Mn, Zn, Cu, Ni) by extraction by aqua regia and by ethylenediaminetetraacetic acid (EDTA). The heavy metal with highest total content was iron, then manganese, zinc, nickel, and copper regardless of soil pH. The order of EDTA- extracted elements changed with copper jumping from last to third place, but the percentage of total content extracted by EDTA was quite opposite: Cu, Ni, Zn, Mn, and Fe. Soil pH impacted on EDTAextractable fraction and the regression models can predict the EDTA- extractable fraction of Zn, Cu and Ni with acceptable average errors, but not for Fe and Mn. The obligate input data for models are total soil content of certain heavy metal and pH. Model errors decreased using humus content as additional input data. The lowest model errors were for copper in acid soils and nickel in calcareous soils.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)



POVEZANOST RADA

Projekti:
079-0730463-0447 - Prevladavanje stresa uzgoja kukuruza na kiselom tlu gnojidbom i oplemenjivanjem (Kovačević, Vlado, MZOS ) ( CroRIS)
079-0790462-0450 - Utjecaj kondicioniranja tla na hraniva i teške metale u sustavu tlo-biljka (Lončarić, Zdenko, MZOS ) ( CroRIS)
178-1781845-1841 - Uloga organskih gnojiva u ishrani vinove loze (Ćosić, Tomislav, MZOS ) ( CroRIS)

Ustanove:
Fakultet agrobiotehničkih znanosti Osijek,
Agronomski fakultet, Zagreb

Profili:

Avatar Url Brigita Popović (autor)

Avatar Url Krunoslav Karalić (autor)

Avatar Url Vlado Kovačević (autor)

Avatar Url Zdenko Lončarić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada www.iuss.org

Citiraj ovu publikaciju:

Lončarić, Zdenko; Popović, Brigita; Karalić, Krunoslav; Rékási, Márk; Kovačević, Vlado
Regression model for prediction availability of essential heavy metals in soils // Proceedings of the 19th World Congress of Soil Science: Soil Solutions for a Changing World / Gilkes, Robert J. ; Prakongkep, Nattaporn (ur.).
Brisbane: IUSS (International Union of Soil Science), 2010. str. 92-95 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Lončarić, Z., Popović, B., Karalić, K., Rékási, M. & Kovačević, V. (2010) Regression model for prediction availability of essential heavy metals in soils. U: Gilkes, R. & Prakongkep, N. (ur.)Proceedings of the 19th World Congress of Soil Science: Soil Solutions for a Changing World.
@article{article, author = {Lon\v{c}ari\'{c}, Zdenko and Popovi\'{c}, Brigita and Karali\'{c}, Krunoslav and R\'{e}k\'{a}si, M\'{a}rk and Kova\v{c}evi\'{c}, Vlado}, year = {2010}, pages = {92-95}, keywords = {aqua regia, EDTA, iron, manganese, zinc, copper, nickel}, isbn = {978-0-646-53783-2}, title = {Regression model for prediction availability of essential heavy metals in soils}, keyword = {aqua regia, EDTA, iron, manganese, zinc, copper, nickel}, publisher = {IUSS (International Union of Soil Science)}, publisherplace = {Brisbane, Australija} }
@article{article, author = {Lon\v{c}ari\'{c}, Zdenko and Popovi\'{c}, Brigita and Karali\'{c}, Krunoslav and R\'{e}k\'{a}si, M\'{a}rk and Kova\v{c}evi\'{c}, Vlado}, year = {2010}, pages = {92-95}, keywords = {aqua regia, EDTA, iron, manganese, zinc, copper, nickel}, isbn = {978-0-646-53783-2}, title = {Regression model for prediction availability of essential heavy metals in soils}, keyword = {aqua regia, EDTA, iron, manganese, zinc, copper, nickel}, publisher = {IUSS (International Union of Soil Science)}, publisherplace = {Brisbane, Australija} }

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