Assessment of the Relationship Between Humic Acid Contents and Trace Elements of Some Agricultural Soils in Diyarbakır Region by Multivariate Statistical Methods
Author:
DÜZGÜN Mehmet1ORCID, EREN Abdullah2ORCID, BİLGE Uğur3ORCID, CEYLAN Ramazan3ORCID, SELÇUK Ramazan4ORCID, DÜZ Mzahir5ORCID
Affiliation:
1. GAP ULUSLARRASI TARIMSAL ARAŞTIRMA VE EĞİTİM MERKEZİ 2. MARDİN ARTUKLU ÜNİVERSİTESİ, KIZILTEPE MESLEK YÜKSEKOKULU 3. GAP ULUSLARARASI TARIMSAL ARAŞTIRMA VE EĞİTİM MERKEZİ 4. GIDA KONTROL LABORATUVARI 5. DICLE UNIVERSITY, FACULTY OF SCIENCE
Abstract
There 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 Diyarbakır 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.
Funder
DİCLE ÜNİVERSİTESİ
Publisher
KSU Journal of Agriculture and Nature
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
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