Assessment of genetic variability for seed yield and its components in sesame (Sesamum indicum L.) based on multivariate analysis

doi:10.37992/2022.1303.126

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…These linear variables are known as principle components and are essentially used as criteria for plant selection. This technique has been widely used for studying genetic variability in sesame (Teklu et al, 2021, Durge et al, 2022.…”

Section: Principal Component Analysis and Metroglyphmentioning

confidence: 99%

Principal component analysis and metroglyph of variation among sesame (Sesamum indicum L.) genotypes

2022

EJPB

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A study was carried out by using 45 genotypes of sesame at Seed Research and Technology Centre, Hyderabad during 2018 to evaluate the genetic variability, morphological clustering using Metroglyph and to identify the principle components having a major contribution to the total variation. Analysis of variance indicated appreciable variation among the genotypes for the traits. The genotypes Julang Sesame and NI8-8316 recorded the highest average performance for seed yield per plant and other yield components. The trait, seed yield per plant recorded the highest value for GCV and PCV followed by test weight. High heritability together with high values of genetic advance was showed by 1000 seed weight and seeds per individual pod. Principal component analysis (PCA) indicated three principle components with eigenvalue more than one and contributing 78 % towards the total variability of the population. Metroglyph analysis clustered the genotypes into six groups and group IV being the largest with 20 genotypes. Cluster VI characterized with high seed yield and number of seeds per pod comprised of three genotypes including Julang Sesame and NI8-8316. The overall study indicated that genotypes Julang Sesame and NI8-8316 were superior in performance and could be utilized as parents in hybridization programs.

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Section: Principal Component Analysis and Metroglyphmentioning

confidence: 99%

Principal component analysis and metroglyph of variation among sesame (Sesamum indicum L.) genotypes

2022

EJPB

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Assessment of the recurrent mutagenesis efficacy of sesame crosses followed by isolation and evaluation of promising genetic resources for use in future breeding programs

Kar,

Mishra,

Pradhan

et al. 2024

Open Agriculture

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The primary causes of low sesame production are a lack of high-yielding varieties, an inability to adjust to environmental challenges, and a poor response to enhanced crop management. The potential for improving sesame has been investigated using a variety of breeding approaches, including mutation and recombination breeding; however, these methods have only produced a minor increase in productivity. Recombination and mutant breeding have recently been proposed as novel, cutting-edge approaches to overcome the limitations of conventional breeding practices. This study was conducted to assess the recurrent mutagenesis efficacy of sesame crosses, followed by the isolation and evaluation of superior breeding lines that could be released as varieties in the future. In the F4M4 generation, the populations were grown in a randomized block design (RBD), and the efficacy of recurrent mutagenesis was assessed in terms of variability parameters such as the mean, standard deviation, and coefficient of variation. During the F5M5 generation, the materials were grown in three separate trials in Compact Family Block Design to evaluate the between-family and within-family variations, followed by the isolation of improved breeding lines based on per se performance. The improved breeding lines were further advanced to the F6M6 generation for evaluation in three separate trials in an RBD. In the F6M6 generation, ANOVA, correlation, regression, path coefficient, and Mahalanobis’s D 2 analysis were computed, followed by the construction of selection indices to select superior lines. The results showed the importance of three or four EMS treatment cycles for sesame improvement in the F4M4 generation. Twenty of the top lines based on per se performance (with a selection intensity of 27%) from each category in the F5M5 generation were carried forward to the F6M6 generation. In the F6M6 generation, the top six breeding lines (with a selection intensity of 30%) from each category, for a total of 18 breeding lines, were chosen based on these index scores. These high-yielding micromutant lines could be subsequently released as varieties through multiplication trials with standard checks. After a thorough evaluation, these lines have the potential to replace the current varieties and increase production, productivity, and adoption of sesame in India.

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Assessment of genetic variability for seed yield and its components in sesame (Sesamum indicum L.) based on multivariate analysis

Cited by 2 publications

References 13 publications

Principal component analysis and metroglyph of variation among sesame (Sesamum indicum L.) genotypes

Principal component analysis and metroglyph of variation among sesame (Sesamum indicum L.) genotypes

Assessment of the recurrent mutagenesis efficacy of sesame crosses followed by isolation and evaluation of promising genetic resources for use in future breeding programs

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