Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some Soil
Humic acid is a very important component for soil. In particular, It is an important factor for regulation of plant nutrients. In this study, HA (humic acid) contents of soil samples taken from 12 different locations were determined by appropriate method. After extracting the humic acid from the so...
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Institute of Economic Develoment and Social Researches
2020-12-01
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| Series: | ISPEC Journal of Agricultural Sciences |
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| Online Access: | https://www.ispecjournal.com/index.php/ispecjas/article/view/115 |
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| author | Mehmet DÜZGÜN Uğur BİLGE M. Zahir DÜZ |
| author_facet | Mehmet DÜZGÜN Uğur BİLGE M. Zahir DÜZ |
| author_sort | Mehmet DÜZGÜN |
| collection | DOAJ |
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Humic acid is a very important component for soil. In particular, It is an important factor for regulation of plant nutrients. In this study, HA (humic acid) contents of soil samples taken from 12 different locations were determined by appropriate method. After extracting the humic acid from the soil samples, the remaining soil elements concentrations were determined by ICP-OES method. In addition, the element concentrations in the humic acid fraction were determined by the same method. In soil samples were determined organic matter (OM), pH, EC, clay, silt and sand. The relationships between all variables were evaluated by multivariate statistical analysis such as correlation, simple linear regression, PCA (Principal Component Analysis). Spearman rho coefficient was taken into consideration in the correlation analysis. Simple linear regression analysis showed significant regression model between HA and OM, pH, HAfMn (HAf: humic acid fraction), HAfSe, HAfP, TfCd (Tf:soil fraction), TfMn, TfPb, TfSe. In the PCA analysis, 4 factors were found to explain 88.23% of the total change. P1:OM, TPb, TSe, HA P2:TAs, TSb, TBa, TMn, TFe P3: TCd, TP, pH, TSn, Silt, TAl P4: Kil, sand, TBe, EC. In the correlation analysis (N: 12), HA was significant positive with TfSe (r= 0.615, P <0.05), and significant negative with HAfBe (r= -0.786, P <0.01) and significant positive with HAfMn (r= 0.918, P <0.01) and significant negative with HAfSn (r= -0.700, P <0.05) and significant positive with HAfSe (r= 0.704, P <0.05) and significant positive with HAfP (r= 0.700, P <0.05) correlation was found.
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| format | Article |
| id | doaj-art-54e756aa9d194e71aedcfc98f71c1bfa |
| institution | DOAJ |
| issn | 2717-7238 |
| language | English |
| publishDate | 2020-12-01 |
| publisher | Institute of Economic Develoment and Social Researches |
| record_format | Article |
| series | ISPEC Journal of Agricultural Sciences |
| spelling | doaj-art-54e756aa9d194e71aedcfc98f71c1bfa2025-08-20T03:01:41ZengInstitute of Economic Develoment and Social ResearchesISPEC Journal of Agricultural Sciences2717-72382020-12-014410.46291/ISPECJASvol4iss4pp841-850Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some SoilMehmet DÜZGÜN0Uğur BİLGE1M. Zahir DÜZ2GAP International Agricultural Research and Training Center, Diyarbakir, Turkey GAP International Agricultural Research and Training Center, Diyarbakir, Turkey Dicle University, Faculty of Science, Department of Chemistry Humic acid is a very important component for soil. In particular, It is an important factor for regulation of plant nutrients. In this study, HA (humic acid) contents of soil samples taken from 12 different locations were determined by appropriate method. After extracting the humic acid from the soil samples, the remaining soil elements concentrations were determined by ICP-OES method. In addition, the element concentrations in the humic acid fraction were determined by the same method. In soil samples were determined organic matter (OM), pH, EC, clay, silt and sand. The relationships between all variables were evaluated by multivariate statistical analysis such as correlation, simple linear regression, PCA (Principal Component Analysis). Spearman rho coefficient was taken into consideration in the correlation analysis. Simple linear regression analysis showed significant regression model between HA and OM, pH, HAfMn (HAf: humic acid fraction), HAfSe, HAfP, TfCd (Tf:soil fraction), TfMn, TfPb, TfSe. In the PCA analysis, 4 factors were found to explain 88.23% of the total change. P1:OM, TPb, TSe, HA P2:TAs, TSb, TBa, TMn, TFe P3: TCd, TP, pH, TSn, Silt, TAl P4: Kil, sand, TBe, EC. In the correlation analysis (N: 12), HA was significant positive with TfSe (r= 0.615, P <0.05), and significant negative with HAfBe (r= -0.786, P <0.01) and significant positive with HAfMn (r= 0.918, P <0.01) and significant negative with HAfSn (r= -0.700, P <0.05) and significant positive with HAfSe (r= 0.704, P <0.05) and significant positive with HAfP (r= 0.700, P <0.05) correlation was found. https://www.ispecjournal.com/index.php/ispecjas/article/view/115Humic acid, regression, correlation, ICP-OES |
| spellingShingle | Mehmet DÜZGÜN Uğur BİLGE M. Zahir DÜZ Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some Soil ISPEC Journal of Agricultural Sciences Humic acid, regression, correlation, ICP-OES |
| title | Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some Soil |
| title_full | Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some Soil |
| title_fullStr | Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some Soil |
| title_full_unstemmed | Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some Soil |
| title_short | Evaluation by Multivariate Statistical Methods of Relationship with Physicochemical Properties of Humic Acid and Some Soil |
| title_sort | evaluation by multivariate statistical methods of relationship with physicochemical properties of humic acid and some soil |
| topic | Humic acid, regression, correlation, ICP-OES |
| url | https://www.ispecjournal.com/index.php/ispecjas/article/view/115 |
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