Diyarbakır Yöresindeki Bazı Tarım Topraklarının Hümik Asit İçerikleri ile Eser Elementler Arasındaki İlişkinin Çok Değişkenli İstatistiksel Yöntemlerle Değerlendirilmesi

dc.contributor.author Duzgun, Mehmet
dc.contributor.author Eren, Abdullah
dc.contributor.author Bilge, Ugur
dc.contributor.author Ceylan, Ramazan
dc.contributor.author Selcuk, Ramazan
dc.contributor.author Duz, M. Zahir
dc.date.accessioned 2024-02-23T13:16:13Z
dc.date.accessioned 2025-09-17T14:28:04Z
dc.date.available 2024-02-23T13:16:13Z
dc.date.available 2025-09-17T14:28:04Z
dc.date.issued 2024
dc.description.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 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.sponsorship Dicle University Scientific Research Projects (DUEBAP) [FEN.17.002] en_US
dc.description.sponsorship This 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.citation Düzgün, M., Eren, A., Bilge, U., Ceylan, R., Selçuk, R & Düz, M.Z. (2024). Assessment of the Relationship Between Humic Acid Contents and Trace Elements of Some Agricultural Soils in Diyarbakır Region by Multivariate Statistical Methods. KSU J. Agric Nat 27 (1), 194-204. DOI: 10.18016/ksutarimdoga.vi.1226158. en_US
dc.identifier.doi 10.18016/ksutarimdoga.vi.1226158
dc.identifier.issn 2619-9149
dc.identifier.uri https://doi.org/10.18016/ksutarimdoga.vi.1226158
dc.identifier.uri https://search.trdizin.gov.tr/en/yayin/detay/1229916/assessment-of-the-relationship-between-humic-acid-contents-and-trace-elements-of-some-agricultural-soils-in-diyarbakir-region-by-multivariate-statistical-methods
dc.language.iso en en_US
dc.publisher Kahramanmaras Sutcu Imam Univ Rektorlugu en_US
dc.relation.ispartof KSU Tarım ve Doğa Dergisi en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Trace Element en_US
dc.subject Humic Acid en_US
dc.subject Correlation en_US
dc.subject Regression en_US
dc.subject ICP-OES en_US
dc.title Diyarbakır Yöresindeki Bazı Tarım Topraklarının Hümik Asit İçerikleri ile Eser Elementler Arasındaki İlişkinin Çok Değişkenli İstatistiksel Yöntemlerle Değerlendirilmesi en_US
dc.title Assessment of the Relationship Between Humic Acid Contents and Trace Elements of Some Agricultural Soils in Diyarbakır Region by Multivariate Statistical Methods
dc.type Article en_US
dspace.entity.type Publication
gdc.author.wosid Eren, Abdullah/Jsl-7635-2023
gdc.author.wosid Ceylan, Ramazan/Izp-9573-2023
gdc.author.wosid Kahraman, Şerif/Jdm-2642-2023
gdc.bip.impulseclass C5
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gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Artuklu University en_US
gdc.description.departmenttemp [Duzgun, Mehmet; Bilge, Ugur; Ceylan, Ramazan; Selcuk, Ramazan] Gazi Yasargil Res & Training Hosp, Diyarbakir, Turkiye; [Eren, Abdullah] Mardin Artuklu Univ, Kiziltepe Vocat Sch, Dept Organ Agr, Mardin, Turkiye; [Duz, M. Zahir] Dicle Univ, Fac Sci, Dept Chem, Diyarbakir, Turkiye en_US
gdc.description.endpage 204 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 194 en_US
gdc.description.volume 27 en_US
gdc.description.woscitationindex Emerging Sources Citation Index
gdc.description.wosquality Q4
gdc.identifier.openalex W4380627246
gdc.identifier.wos WOS:001157184100008
gdc.index.type WoS en_US
gdc.index.type TR-Dizin
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gdc.oaire.keywords Korelasyon
gdc.oaire.keywords İz element;Hümik asit;Korelasyon;Regresyon;ICP OES
gdc.oaire.keywords Regresyon
gdc.oaire.keywords Ziraat, Veterinerlik ve Gıda Bilimleri
gdc.oaire.keywords Regression
gdc.oaire.keywords ICP OES
gdc.oaire.keywords Correlation
gdc.oaire.keywords Trace element;Humic acid;Correlation;Regression;ICP OES
gdc.oaire.keywords Humic acid
gdc.oaire.keywords Trace element
gdc.oaire.keywords İz element
gdc.oaire.keywords Agricultural, Veterinary and Food Sciences
gdc.oaire.keywords Hümik asit
gdc.oaire.keywords Humic Acid
gdc.oaire.keywords Icp Oes
gdc.oaire.keywords Trace Element
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gdc.virtual.author Eren, Abdullah
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