Abstract

This study was designed to identify properties that explained variability in soils of farmers’ fields in Kaya, within the northern Guinea savanna benchmark and group the soils on the basis of the identified properties. Ridge and furrow soil samples from farmers’ fields were analyzed for determination of physical and chemical properties. Principal component analysis of soil properties extracted and characterized factors that described the overall soil fertility variation; potential fertility, available phosphorus, organic matter, acidity and sand-silt. Component scores were computed and used for cluster analysis. Five soil cluster groups corresponding to potential management zones were identified. In Cluster A soils were sandy, low in phosphorus, organic matter and exchangeable bases. Cluster B was characterized by acidic and silty soils with low exchangeable bases, organic matter and phosphorus. Soils within Cluster C were acidic, sandy in texture, with low exchangeable bases, phosphorus and organic matter. In the single member Cluster D, the soil was rich in organic matter and phosphorus. Cluster E soils were high in exchangeable bases and organic matter but low in phosphorus. The identified soil clusters are delineated management zones and this determines their suitability or otherwise for specific agronomic management practices. Key words: Cluster analysis, northern guinea savanna, principal component analysis.

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