SOIL PENETRATION RESISTANCE ANALYSIS BY MULTIVARIATE AND GEOSTATISTICAL METHODS

被引:3
|
作者
Medina, Cecilia [1 ]
Camacho-Tamayo, Jesus H. [1 ]
Cortes, Cesar A. [2 ]
机构
[1] Univ Nacl Colombia, Fac Ingn, Dept Ingn Civil & Agr, Bogota, Colombia
[2] Univ Ciencias Aplicadas & Ambientales, Fac Ingn Agron, Bogota, Colombia
来源
ENGENHARIA AGRICOLA | 2012年 / 32卷 / 01期
关键词
compaction; cluster analysis; principal components; Andisol; PHYSICAL ATTRIBUTES; SPATIAL VARIABILITY; PENETROMETER RESISTANCE; COMPACTION; SYSTEMS; CROP; TILLAGE; YIELD;
D O I
10.1590/S0100-69162012000100010
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The penetration resistance (PR) is a soil attribute that allows identifies areas with restrictions due to compaction, which results in mechanical impedance for root growth and reduced crop yield. The aim of this study was to characterize the PR of an agricultural soil by geostatistical and multivariate analysis. Sampling was done randomly in 90 points up to 0.60 m depth. It was determined spatial distribution models of PR, and defined areas with mechanical impedance for roots growth. The PR showed a random distribution to 0.55 and 0.60 m depth. PR in other depths analyzed showed spatial dependence, with adjustments to exponential and spherical models. The cluster analysis that considered sampling points allowed establishing areas with compaction problem identified in the maps by kriging interpolation. The analysis with main components identified three soil layers, where the middle layer showed the highest values of PR.
引用
收藏
页码:91 / 101
页数:11
相关论文
共 50 条
  • [1] Geostatistical approach to determine the effects of different soil tillage methods on penetration resistance in a clayey soil
    Selvi, K.Ç.
    Saglam, M.
    Dengiz, O.
    [J]. INMATEH - Agricultural Engineering, 2017, 52 (02): : 19 - 26
  • [2] Multivariate geostatistical analysis of soil contaminations
    J. W. Einax
    U. Soldt
    [J]. Fresenius' Journal of Analytical Chemistry, 1998, 361 : 10 - 14
  • [3] Multivariate geostatistical analysis of soil contaminations
    Einax, JW
    Soldt, U
    [J]. FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY, 1998, 361 (01): : 10 - 14
  • [4] Evaluation of soil pollution sources using multivariate analysis combined with geostatistical methods in Zanjan Basin, Iran
    Boroumandi, Mehdi
    Khamehchiyan, Mashalah
    Nikoudel, Mohammad Reza
    Mohammadzadeh, Mohsen
    [J]. GEOPERSIA, 2019, 9 (02): : 293 - 304
  • [5] Multivariate geostatistical methods to identify and map spatial variations of soil heavy metals
    Lin, YP
    [J]. ENVIRONMENTAL GEOLOGY, 2002, 42 (01): : 1 - 10
  • [6] Geostatistical and multivariate statistical analysis of heavily and manifoldly contaminated soil samples
    Kristin Schaefer
    Jürgen W. Einax
    Vasil Simeonov
    Stefan Tsakovski
    [J]. Analytical and Bioanalytical Chemistry, 2010, 396 : 2675 - 2683
  • [7] Geostatistical and multivariate statistical analysis of heavily and manifoldly contaminated soil samples
    Schaefer, Kristin
    Einax, Juergen W.
    Simeonov, Vasil
    Tsakovski, Stefan
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2010, 396 (07) : 2675 - 2683
  • [8] Assessment of Horizantal and Vertical Variabilities of Soil Quality using Multivariate Statistics and Geostatistical Methods
    Saglam, Mustafa
    Dengiz, Orhan
    Saygin, Fikret
    [J]. COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 2015, 46 (13) : 1677 - 1697
  • [9] Multivariate and geostatistical methods in environmental monitoring and geochemical exploration
    Kramar, U
    [J]. FIELD SCREENING EUROPE, 1997, : 109 - 112
  • [10] Two robust estimators of the cross-variogram for multivariate geostatistical analysis of soil properties
    Lark, RM
    [J]. EUROPEAN JOURNAL OF SOIL SCIENCE, 2003, 54 (01) : 187 - 201