African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6801

Full Length Research Paper

Target area identification using a GIS approach for the introduction of legume cover crops for soil productivity improvement: a case study eastern Uganda

  Robert J. Delve1*, Jeroen E. Huising2 and Paul Bagenze3        
  1Tropical Soil Biology and Fertility Institute of International Centre for Tropical Agriculture (TSBF-CIAT), Uganda. 2Tropical Soil Biology and Fertility Institute of International Centre for Tropical Agriculture (TSBF-CIAT), Kenya. 3Makerere University Institute of Environment and Natural Resources, Uganda.
Email: [email protected]

  •  Accepted: 03 August 2007
  •  Published: 31 October 2007



Amidst the economic backdrop of resource-poor farmers, combined research and extension efforts in developing countries have focused on developing and promoting potentially adaptable and economically acceptable agronomic technologies that suit farmers’ situations. Practices like improved fallows with woody and herbaceous legumes (e.g. Canavalia sp., Crotalaria sp.,Mucuna sp., Lablab sp., and Tephrosia sp.) are considered an appropriate approach to improving soil fertility management and an alternative to expensive, and often not available, inorganic fertilizers. However the challenge remains of how to target such technologies to different socio-economic and biophysical niches at the farm level.    Targeting of legume cover crops (LCC) to areas with actual and potential soil fertility management problems using a GIS approach was investigated. Using available datasets it was possible to define, identify, and map potential areas for targeting of LCC soil fertility improvement technologies by overlaying maps of soil fertility status, cropping systems, population density and climate for the eastern region of Uganda. We showed that a geographic information systems based decision support system could provide targeted dissemination output to aid decision making. Shortcomings in the use of available data are discussed, as are the practical applications of this approach in choosing appropriate legume species.


Key words: LCC (legume cover crops), GIS (geographic information systems), targeting, agro-technology transfer, improved decision-making, soil fertility improvement.