Spatial Variability Analysis of Soil Physical Properties of Alluvial Soils

2005 ◽  
Vol 69 (4) ◽  
pp. 1338-1350 ◽  
Author(s):  
Javed Iqbal ◽  
John A. Thomasson ◽  
Johnie N. Jenkins ◽  
Phillip R. Owens ◽  
Frank D. Whisler
Keyword(s):  
Spatial Variability ◽  
Physical Properties ◽  
Soil Physical Properties ◽  
Alluvial Soils ◽  
Variability Analysis

Spatial variability of soil physical properties in Archeological Dark Earths under different uses in southern Amazon

2018 ◽  
Vol 182 ◽  
pp. 103-111 ◽  
Author(s):  
Wildson Benedito Mendes Brito ◽  
Milton César Costa Campos ◽  
Bruno Campos Mantovanelli ◽  
José Mauricio da Cunha ◽  
Uilson Franciscon ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Physical Properties ◽  
Soil Physical Properties

Regional field study of the spatial variability of selected soil physical properties

1983 ◽  
Vol 6 (2-3) ◽  
pp. 269-276 ◽  
Author(s):  
A.G. Hornsby ◽  
J.M. Davidson ◽  
D.K. Cassel ◽  
R.R. Bruce
Keyword(s):  
Spatial Variability ◽  
Physical Properties ◽  
Field Study ◽  
Soil Physical Properties

scholarly journals Effect of Farming Systems on the Spatial Variability of Soil Physical Properties and Soybean Yield

2019 ◽  
Vol 11 (15) ◽  
pp. 87
Author(s):  
Ligia Maria Lucas Videira ◽  
Paulo Ricardo Teodoro Silva ◽  
Diego dos Santos Pereira ◽  
Rafael Montanari ◽  
Alan Rodrigo Panosso ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Variability ◽  
Physical Properties ◽  
Soil Conservation ◽  
Yield Components ◽  
Farming Systems ◽  
Total Porosity ◽  
Soil Bulk Density ◽  
Soil Physical Properties ◽  
High Soil Moisture

In no-tillage (NT) and minimum tillage (MT) areas, spatial variability of soil physical properties may affect crop yield. The aim of this study was to assess the spatial distribution of soil physical properties, as well as the yield components and grain yield of soybean (GY), based on the mapping of areas under soil conservation farming systems. We assessed yield components, GY and the physical properties of an Oxisol, under NT and MT using the t-student test, and geostatistics to assess spatial variability. The largest population of NT plants showed no spatial dependence and did not influence GY, but the components related to plant height and soil properties differed between systems. From a spatial standpoint, the kriging maps demonstrated that mass of one thousand grains (MOG), total porosity (TP) and soil bulk density (BD) influenced GY under NT, whereas TP1 exerted the most influence under high soil moisture conditions and MT. The maps make it possible to assess the spatial distribution of soil physical properties and the influence on GY, making them an important tool for more accurate production planning in soil conservation systems.

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