Morphology-Based Genetic Diversity Analysis of Sesame Germplasm for Yield and Capsule Characters

Dash, Manasi; Haibru, Ghanashyam; Kabi, Mandakini; Pradhan, Banshidhar; Lenka, Devraj; Tripathy, Sapan Kumar

doi:10.20546/ijcmas.2018.709.221

Cited by 2 publications

(2 citation statements)

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“…Crosses involving parents belonging to the most divergent clusters would be expected to manifest maximum heterosis and wide variability of genetic architecture. Similar results were obtained by Hika et al, (2015) and Dash et al, (2018). Such grouping of genotypes from different genetic origin may be attributed to the unidirectional selection practiced by the breeder in a particular location (Singh and Bains, 1968).…”

Section: Resultssupporting

confidence: 68%

Assessing Diversity of Sesame Genotypes Using Cluster Analysis and Principal Component Analysis

Gupta¹,

Muralia²,

Khandelwal³

et al. 2021

Int.J.Curr.Microbiol.App.Sci

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Section: Resultssupporting

confidence: 68%

Assessing Diversity of Sesame Genotypes Using Cluster Analysis and Principal Component Analysis

Gupta¹,

Muralia²,

Khandelwal³

et al. 2021

Int.J.Curr.Microbiol.App.Sci

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“…So, it is expected that crosses between genotypes of cluster IV with genotypes of cluster VI will give rise to high yielding segregants because of highest inter-cluster distance (1840.33). Similar results were obtained by Tripathi et al (2013) [18] , Hika et al (2015) [9] and Dash et al (2018) [6] . Such grouping of genotypes from different genetic origin may be attributed to the unidirectional selection practiced by the breeder in a particular location (Singh and Bains, 1968) [17] .…”

Section: Resultssupporting

confidence: 89%

Study of genetic diversity based on quantitative traits in sesame

Kabi¹,

Baisakh²,

Dash³

et al. 2020

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In the present investigation thirty sesame genotypes were used for diversity analysis for thirteen quantitative traits. The thirty genotypes were grouped into nine clusters based on the Mahalanobis D 2values following Tocher's method. There was similarity of clustering pattern obtained by both Tocher's method and canonical analysis. Maximum inter cluster distance (1840.33) was exhibited between cluster IV and cluster VI and intra cluster distance (154. 89) was in cluster III. The lowest inter cluster divergence (165.90) was noticed between cluster II and VI indicating that the genotypes included in them were closely related. So, it is expected that crosses between genotypes of cluster IV with genotypes of cluster VI will give rise to high yielding sergeants. Relative contribution of different characters to total divergence was assessed through comparison of actual D 2 values for individual characters over all possible combinations. It was revealed that capsule per plant followed by days to 50% flowering and 100 seed weight contributed maximum to total divergence.

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Morphology-Based Genetic Diversity Analysis of Sesame Germplasm for Yield and Capsule Characters

Cited by 2 publications

References 2 publications

Assessing Diversity of Sesame Genotypes Using Cluster Analysis and Principal Component Analysis

Assessing Diversity of Sesame Genotypes Using Cluster Analysis and Principal Component Analysis

Study of genetic diversity based on quantitative traits in sesame

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