Assessment of the Relationship Between Humic Acid Contents and Trace Elements of Some Agricultural Soils in Diyarbakır Region by Multivariate Statistical Methods

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dc.contributor.authorDuzgun, Mehmet
dc.contributor.authorEren, Abdullah
dc.contributor.authorBilge, Ugur
dc.contributor.authorCeylan, Ramazan
dc.contributor.authorSelcuk, Ramazan
dc.contributor.authorDuz, M. Zahir
dc.date.accessioned2024-04-24T17:18:18Z
dc.date.available2024-04-24T17:18:18Z
dc.date.issued2024
dc.departmentDicle Üniversitesien_US
dc.description.abstractThere are important relationships between humic acid (HA) and the bioavailability, reactions and mobility of trace elements in the soil. For this reason, soils are tried to be improved chemically, biologically and physically with HA applications. In this study, the relationship of humic acid contents of 118 agricultural soil samples from Diyarbakir region with some trace elements (Al, As, Ba, Be, Cd, Fe, Mn, Pb, Sb, Sn, Se, V and P) was evaluated by multivariate statistical analysis. After the soil samples were solubilized by the microwave wet digestion method, the element contents were determined with the ICP OES (Inductively Coupled Plasma Optical Emission Spectrometer) device. SRM NIST 2586 was used as SRM (Standard Reference Material) for the accuracy of the method. Recovery values were found between 91.6% and 105.9% as a result of the analysis. Humic acid was extracted from soils by the International Society for Humic Substances (IHSS) method and determined using a shaker and centrifuge device. For the accuracy of the method, it was tested with Humic Acid Sodium Salt (HA-Na). Pearson correlation and partial correlation analysis were applied to the obtained data set. In addition, multivariate statistical analyses such as multiple regression HCA (Hierarchical Cluster Analysis) and PCA (Principal Component Analysis) were applied. Multiple regression analysis was performed according to the Step-wise method. Manganese and P (p< 0.01) were significant when HA was taken as the dependent variable. According to the Pearson correlation coefficient, the correlation between HA and As (r = -0.282**) in soil was negative and significant, while Fe (r = 0.185*), Mn (r = 0.273**)), Sn (r = 0.242*), Se (r = 0.325**) and P (r = 0.315**) were determined as positive and significant. In clustering and PCA analysis, HA, P Mn and Fe were found to be in the same group. The analyses have shown that HA has a positive effect on the plant nutrients in the soil.en_US
dc.description.sponsorshipDicle University Scientific Research Projects (DUEBAP) [FEN.17.002]en_US
dc.description.sponsorshipThis study has been supported by Dicle University Scientific Research Projects (DUEBAP) 'Investigation of Agricultural Soils in the Region of Diyarbakir for Humic Acid and Association with Heavy Metals' as PhD project (FEN.17.002) .en_US
dc.identifier.doi10.18016/ksutarimdoga.vi.1226158
dc.identifier.endpage204en_US
dc.identifier.issn2619-9149
dc.identifier.issue1en_US
dc.identifier.startpage194en_US
dc.identifier.urihttps://doi.org/10.18016/ksutarimdoga.vi.1226158
dc.identifier.urihttps://hdl.handle.net/11468/18717
dc.identifier.volume27en_US
dc.identifier.wosWOS:001157184100008
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoenen_US
dc.publisherKahramanmaras Sutcu Imam Univ Rektorluguen_US
dc.relation.ispartofKsu Tarim Ve Doga Dergisi-Ksu Journal of Agriculture and Nature
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectTrace Elementen_US
dc.subjectHumic Aciden_US
dc.subjectCorrelationen_US
dc.subjectRegressionen_US
dc.subjectIcp Oesen_US
dc.titleAssessment of the Relationship Between Humic Acid Contents and Trace Elements of Some Agricultural Soils in Diyarbakır Region by Multivariate Statistical Methodsen_US
dc.titleAssessment of the Relationship Between Humic Acid Contents and Trace Elements of Some Agricultural Soils in Diyarbakır Region by Multivariate Statistical Methods
dc.typeArticleen_US

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