Multivariate Statistical Analysis of Potassium Status in Agricultural Soils in Hamadan,Western Iran

被引:0
|
作者
M. JALALI [1 ]
机构
[1] Department of Soil Science,College of Agriculture,Bu-Ali Sina University
关键词
adsorption; Gapon coefficient; leaching; non-exchangeable potassium; principal component analysis;
D O I
暂无
中图分类号
S153 [土壤化学、土壤物理化学];
学科分类号
摘要
Multivariate statistical technique was used to determine the potassium (K+) status and to assess soil fertility and K leaching potential in some calcareous soils. Water-soluble K+ (H2O-K) and ammonium acetate-extractable K+ (NH4OAc-K) ranged from 0.019 to 0.590 (mean value 0.095) and 0.390 to 3.320 (mean value 0.954) cmolc kg-1, respectively. The nitric acid-extractable K+ (HNO3-K) varied from 1.03 to 13.63 (mean value 5.37) cmolc kg-1. The proportion of H2O-K ranged from 0.34% to 14.8% of HNO3-K, and 2.2% to 53.2% of NH4OAc-K. The proportion of NH4OAc-K ranged from 5.8% to 80% of HNO3-K (mean value 23% of HNO3-K). The tendency of the soil to lose K+ by leaching was examined by determining K+-Ca2+ exchange isotherms. The soils mostly had moderate to high values of K+ sorption capacity, ranging from 10% to 58% (mean value 28%) of added K+. The Gapon coefficient varied widely from 1.1 to 12.0 (L mol-1)-1/2. Clay minerals were dominated by illite, smectites and vermiculite with small amounts of kaolinite. Principal component analysis (PCA) showed that the first four components accounted for 27.7%, 21.4%, 13.8%, and 8.9% of total variation, respectively. The non-hierarchical cluster analysis (k-means clustering) grouped 75 sampling sites into six clusters, based on the similarity of soil quality characteristics. The results suggested that such classes could form a basis for variable-rate application to maintain an adequate K+ status for crop production and to reduce potential K+ loss from soil by leaching.
引用
收藏
页码:293 / 303
页数:11
相关论文
共 50 条
  • [41] Multivariate correlation analysis of agricultural futures and spot markets based on multifractal statistical methods
    Wang, Hong-Yong
    Feng, You-Shuai
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2020, 2020 (07):
  • [42] Application of multivariate statistical analysis to superficial soils around a coal burning power plant
    Godoy, MLDP
    Godoy, JM
    Roldao, LA
    Conti, LF
    JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY, 2004, 15 (01) : 122 - 130
  • [43] Multivariate statistical analysis of heavy metals in soils of a Pb–Zn mining area, India
    M. Anju
    D. K. Banerjee
    Environmental Monitoring and Assessment, 2012, 184 : 4191 - 4206
  • [44] Hyperspectral Estimation on Growth Status of Winter Wheat by Using the Multivariate Statistical Analysis
    Wang Chao
    Wang Jian-ming
    Feng Mei-chen
    Xiao Lu-jie
    Sun Hui
    Xie Yong-kai
    Yang Wu-de
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38 (05) : 1520 - 1525
  • [45] Groundwater quality analysis using multivariate statistical techniques (case study: Fars province, Iran)
    Masoud Noshadi
    Amir Ghafourian
    Environmental Monitoring and Assessment, 2016, 188
  • [46] Regional analysis of specific suspended sediment loads in northern Iran using multivariate statistical techniques
    Khaleghi, Somaiyeh
    Nosrati, Kazem
    Kebriyaeizadeh-Kachourestaghi, Somaiyeh
    Collins, Adrian L.
    HYDROLOGICAL SCIENCES JOURNAL, 2024, 69 (15) : 2202 - 2213
  • [47] Groundwater quality analysis using multivariate statistical techniques (case study: Fars province, Iran)
    Noshadi, Masoud
    Ghafourian, Amir
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (07)
  • [48] Assessing environmental quality of agricultural soils using GIS and multivariate analysis in Zhejiang province, China
    Cheng, JL
    Shi, Z
    Li, Y
    Yang, DZ
    Li, HY
    Zhu, YW
    ENVIRONMENTAL INFORMATICS, PROCEEDINGS, 2005, : 427 - 434
  • [49] Integration of magnetic measurements, chemical and statistical analysis in characterizing agricultural soils (central Portugal)
    A. M. Lourenço
    C. R. Gomes
    Environmental Earth Sciences, 2016, 75
  • [50] Integration of magnetic measurements, chemical and statistical analysis in characterizing agricultural soils (central Portugal)
    Lourenco, A. M.
    Gomes, C. R.
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (11)