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<title>AGRO-GEOPHYSICAL ASSESSMENTS OF SPATIAL VARIABILITY IN AGRICULTURAL SOIL PROPERTIES IN IBADAN, SOUTHWESTERN NIGERIA</title>
<link>http://hdl.handle.net/123456789/1795</link>
<description/>
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<dc:date>2026-04-05T15:27:22Z</dc:date>
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<title>AGRO-GEOPHYSICAL ASSESSMENTS OF SPATIAL VARIABILITY IN AGRICULTURAL SOIL PROPERTIES IN IBADAN, SOUTHWESTERN NIGERIA</title>
<link>http://hdl.handle.net/123456789/1796</link>
<description>AGRO-GEOPHYSICAL ASSESSMENTS OF SPATIAL VARIABILITY IN AGRICULTURAL SOIL PROPERTIES IN IBADAN, SOUTHWESTERN NIGERIA
OLAOJO, ABAYOMI ADESOLA
Agricultural soil nutrients variability assessment for sustainable crop production has&#13;
usually been through soil geochemical/chemical analyses which are laborious and&#13;
expensive, thus necessitating the need for faster and cheaper alternatives. The application&#13;
of geophysical methods to resolve this has gained acceptability globally. However, there is&#13;
paucity of data from Nigeria on the application of geophysical investigation for soil&#13;
properties variability determination. Therefore, this investigation was designed to use&#13;
geophysical methods to assess the physical properties that can substitute for geochemical&#13;
analysis of agricultural soil nutrients in Ibadan, southwestern Nigeria.&#13;
The investigation was at the research farms of the Cocoa Research Institute of Nigeria,&#13;
Ibadan. The Apparent Electrical Conductivity (ECa) and Volumetric Water Content&#13;
(VWC) of the soils were determined using resistivity earth-meter and VG-meter-200&#13;
moisture-meter. The 912 (cocoa farm) and 700 (kola field) points were classified into&#13;
zones of Low ECa (LECa), Moderate ECa (MECa) and High ECa, (HECa) on which other&#13;
investigations were based. Thermal Conductivity (TC), Volumetric Heat Capacity (VHC)&#13;
and Thermal Diffusivity (TD) at 90 (Cocoa farm) and 67 (Kola field) points were&#13;
determined by KD2PRO analyser. The ECa, VWC, TC, VHC and TD were assessed in&#13;
both wet and dry seasons. Falling and constant head permeability tests were conducted on&#13;
duplicated ten cored soil samples per farmland for water infiltration assessment. Soil&#13;
textural classes were established in the cocoa (54-sample) and kola (42-sample) farms&#13;
using Bouyoucos method. Soil (20-sample/farmland) were analysed for pH, Electrical&#13;
Conductivity (EC), organic carbon, total nitrogen, available phosphorus, acidity, Na, Mg,&#13;
K, Ca and Cation Exchangeable Capacity (CEC) using standard soil science procedures.&#13;
Soil mineralogy (6-sample/farmland) was determined using X-ray diffractometer. All&#13;
investigations were limited to the root zone (0.3 m).&#13;
The soils EC&#13;
a, VWC, TC, VHC and TD were 10-545 µS/cm; 2-69%; 0.700-2.715 W/mk;&#13;
0.760-4.578 mJ/m3k and 0.351-1.994 mm2/s, respectively. The soils were categorised into&#13;
LECa (1-49 µS/cm), MECa (50-99 µS/cm), and HECa (&gt;100 µS/cm). The HECa had high&#13;
TC (1.668-2.148 W/mk), high VHC (2.604-2.721mJ/m3k), and low TD (0.622-0.835vii&#13;
mm2/s), while LECa had inverse distribution, indicating that heat energy retained in soils&#13;
aided mobility of ions. Soils’ permeability ranged from 6.2x10-6-3.97x10-3 cm/sec across&#13;
the field. Infiltration rate was low (HECa), moderate (MECa) and rapid (LECa) accounting&#13;
for the moisture variation. Texturally, the soils were sandy loam (HECa/MECa/LECa),&#13;
loamy sand (MECa/LECa) and sandy clayey loam (HECa). The soils’ pH, EC, organic&#13;
carbon, total nitrogen, available phosphorus, acidity, Na, Mg, K, Ca, CEC ranged from&#13;
6.1-7.6; 30-180 µS/cm; 0.270-1.667%; 0.03-0.17%; 3.50-12.71 mg/kg; 0.32-1.20 cmol/kg;&#13;
0.15-0.42 cmol/kg; 0.25-2.84 cmol/kg; 0.13-1.33 cmol/kg; 0.46-5.84 cmol/kg and 1.92-&#13;
10.33 cmol/kg, respectively. The saturation of basic cations in HECa (81.38-87.73%),&#13;
MECa (73.24-81.82%) and LECa (71.80-77.87%) indicate that HECa had more nutrients&#13;
than others. Kaolinite (4.7-41.2%), microcline (6.8-24.6%) and quartz (14.3-67.2%) were&#13;
the main minerals in the soils. The HECa had low quartz (22.5-41.3%) and microcline&#13;
(9.85-15.05%), but high kaolinite (31.1-37.6%).&#13;
Soil physical properties from geophysical methods were effective in evaluating the spatial&#13;
agricultural soil nutrient variability. This method can therefore be adopted for cost&#13;
effective agro-soil evaluation.
</description>
<dc:date>2021-09-01T00:00:00Z</dc:date>
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