Assessment of Soil Quality under Different Agricultural Land Use Systems: A Case Study of the Ibadan Farm Settlement
B. O. Adebo, A. O. Aweto, K. Ogedengbe
International Journal of Plant & Soil Science · pp. 89–104 · Published 15 May 2020
10.9734/ijpss/2020/v32i430275Abstract
Soil quality in an agroecosytem is considerably influenced by land use and management practices. Twenty two potential soil quality indicators were used to assess the effects of five different land use types (arable land, plantation, agroforestry, marginal land and native forest) on soil quality in Akufo and Atan farm settlements in Ibadan, southwestern Nigeria. A total of sixty-two fields were selected from which soil samples were taken at a depth of 0-15 cm and subjected to laboratory analysis. Majority of the evaluated physicochemical properties varied significantly among the land uses and whereas native land performed relatively better for most of the observed attributes, arable and marginal lands performed worse. Due to the moderate to strong significant correlation among the potential indicators, they were subjected to principal component analysis and only seven indicators were selected to compute the soil quality index (SQI). In both Akufo and Atan, native land had the highest SQI (0.8250 and 0.860 respectively) which was significantly different (P = .05) from all the agricultural land uses, except plantation (0.739 and 0.750 respectively). Whereas marginal field in Atan was most degraded (SQI = 0.455), it was closely followed by arable fields in both locations. This study indicates that the current agricultural land use and soil management practices in Akufo and Atan farm settlements have negatively impacted soil quality; however, the degree of degradation was strongly influenced by the concentration of soil organic carbon in the understudied land use systems. It also emphasizes the need to promote the use of sustainable management practices among agricultural land users, so as to increase soil organic carbon stock, and improve soil quality and land productivity.
Cited by 22
Kadooran Abshiba, Vinod Kumar Sharma, Prince Kumar · Discover Soil · 2025
Hao Tan, Yunfei Tuo, Xiang Chang · Plant and Soil · 2024
Showing 12 of 22 known citations — external sources report more than can currently be individually listed.
Related research
- Approximate Prediction of Chemical Changes in Peanut Oil during Intermittent Deep Frying Process Using UV-Visible Spectroscopy — shares topic coverage
- Principal Component Analysis in Biometric, Pulp Quality and Anatomical Properties of Thronless Bamboo (Bambusa balcooa) — shares topic coverage
- Weather Based Pest Forewarning Model for Major Insect Pests of Rice – An Effective Way for Insect Pest Prediction — shares topic coverage
- Genetic Variability and Association Analysis of Lisianthus (Eustoma grandiflorum (Raf) Shinn) Advanced Lines Under Mid Hill Conditions of Himachal Pradesh, India — shares topic coverage
- Genetic Divergence in Micronutrient Rich wheat– A Tool to Identify Diverse Parents — shares topic coverage
Article metrics
Real usage data collected on this platform.
20
Page views
0
PDF downloads
1
Outbound clicks
22
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.