African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6544

Article in Press

Suitability Analysis For Scaling Chickpea Varieties In Ethiopia Using Multi-Criteria Evaluation And Gis

Wondafrash Mulugeta, Demeke Nigussie Adamu Molla, Zewdie Bishaw, Chandrashekhar Biradar

  •  Received: 19 May 2021
  •  Accepted: 07 July 2021
The Land suitability analysis and mapping were carried out using a geographic information system and multi-criteria approach for scaling chickpea (Cicer arietinum L.) varieties in Ethiopia. Therefore, the biophysical variables of climate, topography, and soil were considered for suitability analysis. The environmental factors’ layers of chickpea varieties pixel values were classified and given a rate and ranked. The suitability criteria layers were assigned weights to account for their relative importance. The study's objective was to develop a suitability map for chickpea (Cicer arietinum L.) varieties using a Geographic Information System and Multi-Criteria evaluation approach. Based on the suitability analysis, Desi chickpea varieties Mastewal, Naatolii, Teketay and Arerti, Habru, Kasech, and Yelbey Kabuli chickpea varieties are classified as highly suitable that cover 0.67, 0.71, 1.4, 2.3, 1.3, 2.4 and 1.2 million ha of the country respectively whereas moderately suitable areas for the same varieties cover 25.2, 11.3, 25.9, 26.4, 26.6, 9.6, 17.1 million ha. The suitability analysis results showed that the currently available improved varieties of chickpea could be targeted for scaling out improved technologies in the identified land suitability classes in the country. The study's findings can be used for policy and decision-making processes to ensure the efficient use of land resources.

Keywords: Biophysical, policy, decision-making, land resources, Desi, Kabuli