2007
DOI: 10.3329/bjpbg.v20i1.17027
|View full text |Cite
|
Sign up to set email alerts
|

GENETIC DIVERGENCE IN MAIZE (Zea mays L.)

Abstract: Genetic divergence of 25 genotypes of maize were estimated using D2 and Principal Component Analysis. The genotypes under study fell into five clusters. The inter-cluster distances were higher than intra cluster distances suggesting wider genetic diversity among the genotypes of different groups. The intra-cluster value was maximum in cluster V and minimum in cluster I. The inter cluster D2 values showed the maximum distance between cluster II and III followed by the distance between II and I. The cluster mean… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

2
5
0

Year Published

2013
2013
2018
2018

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(7 citation statements)
references
References 1 publication
2
5
0
Order By: Relevance
“…It suggests that genotypes included within a cluster had less diversity among themselves. This is corroborated with the findings of Ivy et al (2007) and Kadir (2010). The highest intra cluster distance was observed in cluster V and the lowest was in cluster VII .…”
Section: Resultssupporting
confidence: 81%
“…It suggests that genotypes included within a cluster had less diversity among themselves. This is corroborated with the findings of Ivy et al (2007) and Kadir (2010). The highest intra cluster distance was observed in cluster V and the lowest was in cluster VII .…”
Section: Resultssupporting
confidence: 81%
“…Intra-group distances appeared much smaller than the inter-groups, suggesting a lower genetic diversity among the lines of the same group than those from different groups. This is collaborated with the results of Ivy et al (2007) and Hoque et al (2008). Intra-cluster distances varied from 0.634 to 1.611 comparatively, higher intra-cluster distances were observed in cluster IV and I. Clustering revealed instability due to low divergence and widely diverged clusters remain stable in different environment reported by Raut et al (1985).…”
Section: Resultssupporting
confidence: 75%
“…Multivariate analysis is a useful tool to quantify the degree of divergence between the biological population at genotypic level and to assess the relative contribution of different components to the total divergence both inter and intra cluster levels (Ivy et al, 2007;Quamruzzaman et al, 2009;Amin et al, 2014 andNalla et al, 2014).…”
Section: Introductionmentioning
confidence: 99%