Participatory varietal selection among elite cowpea genotypes in northern Namibia

DOI: 10.18805/LR-334    | Article Id: LR-334 | Page : 995-1003
Citation :- Participatory varietal selection among elite cowpea genotypes in northern Namibia.Legume Research.2017.(40):995-1003
Lydia N. Horn, Habteab M. Ghebrehiwot, Fatma Sarsu and Hussein A. Shimelis Shimelish@ukzn.ac.za
Address : School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
Submitted Date : 22-11-2016
Accepted Date : 29-06-2017


The objective of this study was to select cowpea (Vigna unguiculata [L.] Walp.) varieties that meet farmers’ needs in Namibia, from a set of newly developed and elite cowpea varieties developed through gamma irradiation. Thirty four candidate mutant cowpea varieties derived from three local varieties, (Shindimba, Bira and Nakare), were evaluated for nine agronomic traits. The new genotypes descended from Bira were favourably selected by all participants for their best plant cover. The genotype L1P12 (Bi450) was preferred by 81 percent percent of farmers for its higher pod setting ability. The genotype R4P5 (Nk150) with longer pod size and R3P1 (Bi600) with early maturity were ideal candidates preferred by nearly all farmers. The present study has identified farmers’ most-preferred cowpea varieties selected for their best agronomic performances and drought tolerance. These selected cowpea genotype lines will further be subjected to distinct, uniformity and stability trials for varietal registration and release. 


Cowpea Farmer-preferences Genotypes Participatory varietal selection


  1. Abadassi, J. (2015). Cowpea (Vigna unguiculata (L.) Walp.) agronomic traits needed in tropical zone. Int. J. Pure App. Biosci. 3: 158–165. 
  2. Baidoo, P. K. and Mochiah, M. B. (2014). Varietal Susceptibility of improved cowpea Vigna unguiculata (L.)(Walp.) cultivars to field and storage pests. Sustainable Agric. Res. 3: 69.
  3. Dugje, I., Omoigui, L., Ekeleme, F., Kamara, A. and Ajeigbe, H. (2009). Farmers’ guide to cowpea production in West Africa. IITA, Ibadan, Nigeria. 20: 12–14.
  4. FAO, (2000). The state of food insecurity in the world (SOFI) Rome. Italy: FAO-UN. www.fao. org/FOCUS/E/SOFI00/sofi001-e.htm Accessed on September 10th, 2016.
  5. Gbaguidi, A.A., Dansi, A., Loko, L.Y., Dansi, M. and Sanni. A. (2013). Diversity and agronomic performances of the cowpea (Vigna unguiculata. Walp.) landraces in Southern Benin. Int. Res. J. Agric. Sci. Soil Sci. 3: 121–133.
  6. Horn, L., Shimelis H. and Laing, M. (2015). Participatory appraisal of production constraints, preferred traits and farming system of cowpea in the northern Namibia: implications for breeding. Legume Res. 38: 691–700. 
  7. Horn, L.N., Ghebrehiwot, H.M. and Shimelis, H.A. (2016). Selection of novel cowpea genotypes derived through gamma irradiation. Front. Plant. Sci. 7: 262.
  8. Langyintuo, A. S., Lowenberg-DeBoer, J. Faye, M. Lambert, D. Ibro, G. Moussa, B. Kergna, A. et al. (2003). Cowpea supply and demand in West and Central Africa. Field Crops Res. 82: 215–231.
  9. Matikiti, A. (2015). Effects of planting dates on leaf and grain yield of Black-eyed bean cowpea type in Mashonaland East Province in Zimbabwe. Am. J. Exp. Agric. 6: 83–92.
  10. SPSS (Statistical package for social sciences) (2007). SPSS, 16th ed users guide. Chicago.
  11. Thapa, D.B., Sharma, R.C., Mudwari, A. Ortiz-Ferrara, G., Sharma, S., Basnet R.K., et al. (2009). Identifying superior wheat cultivars in participatory research on resource poor farms. Field Crops Res. 112: 124–130.
  12. Timko, M.P., Ehlers, J.D. and Roberts, P.A. (2007). Cowpea, pulses, sugar and tuber crops. In: Genome mapping and molecular breeding in plants, [Kole, C. (ed.)],: Springer- Verlag Heidelberg Berlin, p. 49–67.
  13. Tiwari, T., Virk, D. and Sinclair, F. (2009). Rapid gains in yield and adoption of new maize varieties for complex hillside environments through farmer participation: improving options through participatory varietal selection (PVS). Field Crops Res. 111: 137–143.
  14. Virk, D.S., Pandit, D.B., Sufian, M.A., Ahmed, F., Siddique, M.A.B., Samad, M.A., et al. (2009). REML is an effective analysis for mixed modelling of unbalanced on-farm varietal trials. Exp. Agric. 45: 77–91.
  15. vom Brocke, K., Trouche, G., Weltzien, E., Barro-Kondombo, C.P., Gozé E., Chantereau, D. J. (2010). Participatory variety development for sorghum in Burkina Faso: Farmers’ selection and farmers’ criteria. Field Crops Res. 119: 183–194.

Global Footprints