Manifestation of heterosis and combining ability for yield and its attributes in sesame (Sesamum indicum L.) using line x tester mating design

Parameshwarappa, S. G.; Palakshappa, M. G.; Banu, Harshiya; Holeyannavar, P. G.

doi:10.22271/tpi.2021.v10.i3l.5894

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Based on branching pattern the genotypes were grouped as top branching (VRI 2, VRI 3, TMV 4, TMV 7, Paiyur 1) and basal branching (SVPR1, VRI 4 and VRI 5 ). Similar findings and grouping of genotypes based on flower and stem morphological characters were made by Parameshwarappa et al [6], Frary et al [7], Sarita et al [8], Azeez et al [9] and Ozcinar and Sogut [10] in sesame.…”

Section: Morphological Characterizationsupporting

confidence: 83%

Morphological Characterization of Sesame (Sesamum indicum L.) Genotypes with DUS Descriptors

Sala,

Priyardharsini,

Sridevi

et al. 2023

IJPSS

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The current study's objective is to characterize eight sesame genotypes (Sesamum indicum L.) using the DUS descriptors. At Adhiparasakthi Agri College, Research Farm, Kalavai, the experiment was carried out in Randomized Complete Block Design with three replications in April 2023. Sesame varieties were assessed for 13 morphological features using DUS descriptors. Most of the analyzed traits showed a significant amount of variation. These differences in physical traits were useful for identifying particular sesame genotypes. The aforementioned study highlighted the distinctive qualities of sesame varieties and demonstrated that morphological variances exist in these genotypes due to variations in genetic makeup, suggesting that breeders may make greater use of these variations in the selection process based on their particular breeding programme. This is highly useful study for varietal identification and conservation.

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Section: Morphological Characterizationsupporting

confidence: 83%

Morphological Characterization of Sesame (Sesamum indicum L.) Genotypes with DUS Descriptors

Sala,

Priyardharsini,

Sridevi

et al. 2023

IJPSS

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show abstract

“…In this study, moderate estimates of heritability, coupled with a high GAM, were observed for PPW, SL, GY and Nnbr. According to [66,67], this is the result of the additive gene in trait expression; thus, selection might lead to improvements in the panel. For the traits IN, 50%IN, FLO, 50%FLO moderate heritability was coupled with a low GAM, which suggests the effect that non-additive gene has on these traits.…”

Section: Discussionmentioning

confidence: 99%

Characterization and Trait Association Analysis of 27 Pearl Millet Landraces in Southern Tunisia

et al. 2023

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Pearl millet (Pennisetum glaucum (L.) R. Br., 2n = 2x = 14, Poaceae), is a cross-pollinated, warm-season crop grown worldwide. To select genotypes for breeding pearl millet cultivars that adapt to drought condition in southern Tunisia, we evaluated the grain yield (GY) and yield-related traits using a set of 27 landraces at two locations in southern Tunisia for two grown seasons (2019 and 2020). The genetic variability, phenotypic and genotypic association, and path coefficient (PC), based on grain yield (GY) and different yield-related agronomic traits, were evaluated. Analysis of variance and BLUPs value revealed a wide range of variability and the possibility of genetic selection for traits that are advantageous. Broad sense heritability (H) for all the traits ranged from 24.10% for grain yield (GY) to 57.11% for spike length (SL), indicating low to moderate inheritability. Genetic advance as a percentage of the mean (GAM) ranged from high (29.56%) for principal panicle weight (PPW) to moderate for all the traits except from plant high (PH) (7.31%). For all the traits, the phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV), indicating the magnitude of environmental conditions. GY was significantly correlated with all the traits at the genotypic and phenotypic level. According to the path coefficient, the traits PPW and SL displayed the highest direct effects on GY. Heatmap analysis demonstrated a clear segregation between the early and late genotypes based on their geographic origin. Based on the cluster analysis and FAI-BLUPS analysis, genotypes G11, G13, G12, G17 and G18 were selected as the best-performing genotypes with the shortest cycle.

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Manifestation of heterosis and combining ability for yield and its attributes in sesame (Sesamum indicum L.) using line x tester mating design

Cited by 2 publications

References 5 publications

Morphological Characterization of Sesame (Sesamum indicum L.) Genotypes with DUS Descriptors

Morphological Characterization of Sesame (Sesamum indicum L.) Genotypes with DUS Descriptors

Characterization and Trait Association Analysis of 27 Pearl Millet Landraces in Southern Tunisia

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