African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6576

Full Length Research Paper

Spatial variability of selected physico-chemical properties of soils under vegetable cultivation in urban and peri-urban wetland gardens of Bamenda municipality, Cameroon

Godswill A. ASONGWE
  • Godswill A. ASONGWE
  • Department of Soil Sciences, Faculty of Agronomy and Agricultural Sciences (FASA), University of Dschang, P. O. Box. 222 Dschang, Cameroon.
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Bernard P. K. YERIMA
  • Bernard P. K. YERIMA
  • Department of Soil Sciences, Faculty of Agronomy and Agricultural Sciences (FASA), University of Dschang, P. O. Box. 222 Dschang, Cameroon.
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Aaron S. TENING
  • Aaron S. TENING
  • Deparment of Agronomic and Applied Molecular Sciences, Faculty of Agriculture and Veterinary Medicine, University of Buea, P. O. Box 63, Buea, Cameroon.
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  •  Received: 17 September 2015
  •  Accepted: 20 November 2015
  •  Published: 14 January 2016

Abstract

Urban wetlands in Bamenda municipality play a vital role in vegetable production, but variability in the physico-chemical properties of soils is of dire concern. Twenty-one surface soil samples were analyzed for their physico-chemical properties using standard methods to examine the fertility status of the soils, evaluate their variability and constraints, and provide adequate data for planning sustainable land management. The coefficient of variation was used as an index of soil variability, while sources of soil variation and subsequent grouping into management units were identified using linear correlation, linear regression and principal component analyses. The results indicated that the soil pH was slightly variable while organic matter varied considerably. Correlation coefficients between some of the soil parameters were highly significant (p<0.01) ranging from - 0.950 to 0.999, but most of them had correlation values less than 0.500. Regressions depicted multiplicity of sources of different variables. Six principal components: base status, organic matter, weathering, acidity, sodium (Na) dispersal, and neo-synthesis, grouped the soils in management units and explained 96.24% of the variations observed. For a proper management of the soils, individual management units should be established for the municipality.

Key words: Soil variability, physico-chemical properties, correlation and regression, principal component analysis.