Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/17772
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dc.contributor.authorDdamulira, G-
dc.contributor.authorAlenoma, G-
dc.contributor.authorKarwani, G-
dc.contributor.authorUzoh, I M-
dc.contributor.authorUmeugochukwu, Obiageli-
dc.contributor.authorAlanyo, M-
dc.date.accessioned2023-01-23T21:33:39Z-
dc.date.available2023-01-23T21:33:39Z-
dc.date.issued2016-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/17772-
dc.description.abstractSixty nine Vigna subterranean accessions were evaluated at Namulonge to determine their genetic variability in a randomized complete block design with three replications. Analysis of variance showed significant (P<0.01) divergence among accessions for all traits. Cluster analysis exhibited six distinct clusters with the highest intra-cluster distance (8.09) observed in cluster II and the lowest distance (0.00) in cluster VI. Maximum inter-cluster distance was observed between cluster VI and IV and minimum distance between cluster II and IV. Inter-cluster distance was much higher than intra-cluster distance suggesting a wider variability among accessions. All late maturing accessions with high yield were grouped in cluster V while early maturing accessions were grouped in cluster III. Results of principal component analysis indicated that both yield and vegetative traits were the principal discriminatory characteristics. The accessions evaluated exhibited high diversity for most traits indicating that they can be used to develop varieties with desirable traits.en_US
dc.language.isoen_USen_US
dc.publisher6th Int'l Conference on Agriculture, Environment and Biological Sciences (ICAEBS'16)en_US
dc.subjectVariability,en_US
dc.subjectclusteren_US
dc.subjectaccessionsen_US
dc.titleCharacterisation of Bambara Groundnut Based on Morphometric Diversityen_US
dc.typeArticleen_US
Appears in Collections:Soil Science and Land Management

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