Background and Objective: Human activities have produced artificial soils with pedogenesis dominated by their technological origin.This study compared Technosolsʼ physicochemical qualities at Eke Market Dumpsite, Agbani (6E18'24"N, 7E32'52"E) and Abakpa Bridge Head Dump Site (6E28'34"N, 7E31'02"E) in Enugu Southeast, Nigeria to characterize and compare differences in some of their physicochemical properties.Materials and Methods: Profile pits were dug within the dumpsite of the selected areas and corresponding control pits for both sites were dug 100 m away.Samples were collected from the depth of the observable horizon in each profile.The coefficient of variation was used to analyze the data collected.Results: The dumpsites and non-dumpsites of two sandy loam-sandy clay loam sites have similar particle size distributions.The pH (H 2 O) was slightly alkaline at dumpsites (7.4-7.6)compared to 5.6-6.3 for non-dumpsites.Soil organic carbon in the top 0-50 cm of the dump soil (1.49-4.6%)was 91-96% greater than in the same horizon of the non-dump soil (0.07-0.39%) for both sites, although topsoil OC varied greatly.The dump site has 32% higher total nitrogen in the top 100 cm of soil than the non-dump site (0.13-0.25%).The CEC values of 16.0-24.4cmol kgG 1 were greater in dumpsite soils than in non-dump site soils (12.4-14.8cmol kgG 1 ).Base saturation in the vadose zone of dumpsite soils ranged from 27.6 to 46.8%, compared to 10.9-22.8% in non-dump soils at both sites.Conclusion: The vadose zone of dump site soils has greater exchangeable cation levels than non-dump sites.Technosols alleviate land degradation and green challenges.The soil quality assessment helps track Technosol changes and evaluate pedogenetic processes.Under tropical conditions, municipal waste Technosols may have a beneficial effect on agricultural soil quality.
Background and Objective: Most of the soils of South-eastern Nigeria are strongly acidic.Liming these soils for profitable crop production requires the assessment of the soil properties and then developing model equations for calculating liming rates.This study aimed to assess the soil properties and then develop model equations and curves for quick calculations of liming rates.Materials and Methods: Soil samples were collected at 40 different locations in Cross River and Akwa Ibom States and analyzed.An incubation study was also performed to monitor changes in pH bi-weekly in the laboratory.Neutralization curves were constructed by plotting a maximum rise in pH against lime rates.Results: The soils were separated into particle-size classes, A (sandy clay loam and clay soils) and B (sandy loam and loamy sand soils).Soil properties were higher for group A than B. Multiple regression equations created provided several equations for calculating Lime Requirements (LR).The equations were: Group-A: LR = 0.33+0.28)pHxOM+0.18)pHxclay[R 2 = 0.855].Group-B: LR = 0.98+0.58)pHxOM [R 2 = 0.552].Conclusion: Over-liming can generate alkaline conditions that may create solubility problems.Therefore, both the regression equations and the curves are useful tools for quick determinations of lime requirement.
