Lifescience Global

Journal of Basic & Applied Sciences

Evaluation and Identification of Genetic Variation Pattern in Cowpea [Vigna unguiculata (L.) Walp] Accessions Using Multivariate Analyses
Pages 149-158
Ogbuagu Ugorji Udensi and Ndem E. Edu


Published: 27 February 2015

Open Access

Abstract: Thirty accessions of cowpea from Ebonyi, Enugu and Kogi States, Nigeria were used for the study. Seeds of the accessions were randomized in a plot measuring 50x50 meters for three growing seasons. Our results on yield and yield-related traits showed that three principal components were extracted, which contributed 82.23% of the total variability. It revealed that number of seeds pod-1, 100-seed weight, pod length, days to 50% maturity, seed yield, number of leaves plant-1 contributed significantly to the total genetic variability while for proximate composition, four principal components accounted for 93.75% of the total genetic divergence. Cluster analysis revealed that accessions were grouped not necessarily based on geographical location but genetics. Selection for high yielding accessions should be done on cluster 2 as we recommend selection and hybridization of accessions from cluster 1, 2, and 3 for optimal benefit.

Keywords: Germplasm collection, cowpea, selection, hybridization, multivariate analysis.

Download Full Article
Submit to FacebookSubmit to Google PlusSubmit to TwitterSubmit to LinkedIn


♦  Worldwide readership
♦  High quality content
♦  Maximum visibility
♦  Efficient publishing
♦  Optional Open Access

Publish your Research


As an author what type of publishing model you prefer?

Open Access
Optional Open Access
Subscription based
5 Votes left

Nafa Urbach Iwan Fals Siti Badriah Aura Kasih acha septriasa artis bugil dewi persik julia perez duo srigala ayu ting ting isyana sarasvati olga syahputra dewi persik syahrini luna maya nikita willy mulan jameela superman is dead