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Comparing Uganda's indigenous soil classification system with World Reference Base and USDA Soil Taxonomy to predict soil productivity
Geoderma Regional
  • Stewart Kyebogola, Makerere University
  • C. Lee Burras, Iowa State University
  • Bradley A. Miller, Iowa State University
  • Onesimus Semalulu, National Agricultural Research Laboratories (NARL), Kampala, Uganda
  • Russell S. Yost, University of Hawai'i at Mānoa
  • Moses M. Tenywa, Makerere University
  • Andrew W. Lenssen, Iowa State University
  • Prossy Kyomuhendo, Makerere University
  • Christopher Smith
  • Charles K. Luswata, Makerere University
  • Mwanjalolo J. Gilbert Majaliwa, Makerere University
  • Lance Goettsch, Iowa State University
  • Carol J. Pierce Colfer, Center for International Forestry Research in Bogor, Indonesia
  • Robert E. Mazur, Iowa State University
Document Type
Article
Publication Version
Published Version
Publication Date
9-1-2020
DOI
10.1016/j.geodrs.2020.e00296
Abstract

This study examines three soil classification systems - Buganda, World Reference Base, and US Soil Taxonomy - in order to evaluate their relative strengths and feasibility for making linkages between them. Nine field sites and 16 pedons were considered across the soil landscapes of the Buganda catena. Each identified field pedon diagnostic horizons and characteristics were described and their soils analyzed using standard pedological techniques and measurements. To document the indigenous use of the Buganda classification system, interviews and discussions were held with farmer groups and local extension specialists. Using this local expertise, five local soil units were identified. We also identified two landscape toposequences with pedons that classified into six WRB Reference Soil Groups and five US Soil Taxonomic Suborders. While four local soil classes each mismatched with international systems' groups, Liddugavu (black) soil corresponded to Phaeozem (WRB) and Udolls (US Soil Taxonomy) and is consistently viewed as the most productive soil due to faster weed growth, diversity of crops it supports and its stable landscape location. Statistical comparisons indicated that the Buganda classes were more homogeneous and effective at separating variability of different soil properties than those of either the WRB Reference Soil Groups or US Soil Taxonomy Suborders. Integrating soil texture, pH and bases information in indigenous system methods could locally complement international classifications and linking the best of both systems would be ideal for the generation of a hybrid system. Our findings show that using the toposequence framework assists in comparing these systems in a way that is useful for scientists and local farmers.

Comments

This article is published as Kyebogola, Stewart, Lee C. Burras, Bradley A. Miller, Onesimus Semalulu, Russell S. Yost, Moses M. Tenywa, Andrew W. Lenssen et al. "Comparing Uganda's indigenous soil classification system with world Reference Base and soil taxonomy." Geoderma Regional 22 (2020): e00296. doi: 10.1016/j.geodrs.2020.e00296.

Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Stewart Kyebogola, C. Lee Burras, Bradley A. Miller, Onesimus Semalulu, et al.. "Comparing Uganda's indigenous soil classification system with World Reference Base and USDA Soil Taxonomy to predict soil productivity" Geoderma Regional Vol. 22 (2020) p. e00296
Available at: http://works.bepress.com/c_burras/41/