Comparing Different Phosphorus Extraction Methods: Effects of Influencing Parameters

Viktória Vona, Csaba Centeri, Zsolt Biró, Márton Vona, Renátó Kalocsai, Gergely Jakab, Jakab Kauser, István Mihály Kulmány, Attila József Kovács and Gábor Milics
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Viktória Vona: Faculty of Agricultural and Food Sciences, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary
Csaba Centeri: Institute for Wildlife Management and Nature Conservation, Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Hungary
Zsolt Biró: Institute for Wildlife Management and Nature Conservation, Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Hungary
Márton Vona: Csernozjom Kft, 1122 Budapest, Hungary
Renátó Kalocsai: Faculty of Agricultural and Food Sciences, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary
Gergely Jakab: Research Centre for Astronomy and Earth Sciences, Geographical Institute, Budaörsi út 45, 1112 Budapest, Hungary
Jakab Kauser: Faculty of Agricultural and Food Sciences, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary
István Mihály Kulmány: Faculty of Agricultural and Food Sciences, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary
Attila József Kovács: Faculty of Agricultural and Food Sciences, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary
Gábor Milics: Institute for Environmental Sciences, Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Hungary

Sustainability, 2022, vol. 14, issue 4, 1-16

Abstract: The current study compares the phosphorus (P) analysis methods of ammonium lactate (AL), Mehlich 3 (M3); water extraction (P-WA(P)&P-WA(PO 4 )), cobalt hexamine (CoHex) and X-ray fluorescence (XRF) as an estimate of total soil P. The ratio of the P-content/XRF was first calculated and compared with the whole dataset. Based on the comparison of all the data, there were significant differences between the results of P-WA(P) and P-WA(PO 4 ) vs. M3 and AL, CoHex vs. M3 and CoHex vs. AL methods ( p < 0.001). The second step was the analysis of the influencing factors based on their categories for a more in-depth understanding of their role (CaCO 3 -content, pH, soil texture and clay content). The results showed that higher CaCO 3 content (>1%) resulted in lower correlations (6/10 cases). The extraction methods, the soil, the classification method of the soil properties and the statistical analyses affect the evaluation. The dataset covers a good range of the analysed factors for the evaluation of phosphorus in the majority of Hungarian soil types in arable use. There were two methods that detected the largest amount of P from the total P in the soil: AL and M3.

Keywords: soil analysis; phosphorus; X-ray fluorescence; comparative analyses (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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