Genetic diversity and association of yield‐related traits in sesame

Teklu, Desawi Hdru; Shimelis, Hussein; Tesfaye, Agajie; Mashilo, Jacob

doi:10.1111/pbr.12911

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…The direct and indirect effects of one or more causative variables on a response variable are differentiated using path coefficient analysis. The most significant predictor variable(s) on dependent variables can be determined via path analysis (12). Path analysis studies in Indian mustard reported that 1000 seed weight had positive direct effect on seed yield plant -1 indicating the importance of this trait for selection of high seed yielding genotypes (13).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of mustard genotypes [Brassica juncea (L.) Czern and Coss] for quantitative traits and character association of seed yield and yield components at sub Himalayan region of West Bengal (India)

et al. 2022

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Brassica juncea is an important industrial and commercial oilseed crop grown primarily in India. This study aimed to assess 56 genotypes of Indian mustard to quantify genetic diversity, which aids the breeder in identifying genetically divergent parents to evaluate the proportional contributions of various components towards overall divergence. All the 56 Indian mustard genotypes were tested in RBD with three replications for 2 consecutive years i.e. 2016-17 and 2017-18 during the rabi season. Observations were recorded for 11 yield and its attributing traits. The findings revealed that height up to first branching, aphid count, penetration force and seed yield per plant had maximum PCV and GCV signifying that genetic factors have a greater impact on the inflow of these traits. Height up to first branching, secondary branches per plant, primary branches per plant, siliquae per plant, aphid count and 1000 seed weight had strong heritability combined with GA as % of mean. These indicate that the traits were controlled by additive gene action. Seed yield per plant was significantly correlated with penetration force and siliquae per plant. As a result, it's reasonable to predict that improving these traits by selection, could lead to significant yield gains. Four of the eleven PCs had eigen values greater than 1.0, accounting for 69.94% of the variance. PC I, which explained 30.31% of the overall variance. Mahalanobis D2 statistics revealed considerable genetic diversity among the genotypes. 56 genotypes were distributed into 7 clusters. This is anticipated that genotypes within a cluster are almost genetically related to one another. Cluster VII and II showed maximum inter-cluster divergence. From a breeding perspective, a divergence analysis revealed that genotypes like SKJM-05, RNWR-09-3, RW-351, B-85, DRMR-4001, RGN-386, TM52 276 and SKM-1313 can be selected as genetically divergent parents for hybridization to obtain desirable segregants.

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Section: Introductionmentioning

confidence: 99%

Evaluation of mustard genotypes [Brassica juncea (L.) Czern and Coss] for quantitative traits and character association of seed yield and yield components at sub Himalayan region of West Bengal (India)

et al. 2022

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“…Moderate variabilities were observed in other characters. In selection process, characters with high and moderate variability might be relied upon (Teklu et al 2021). Kiruthika et al (2018) opined that the extent of variability is revealed by simple measures of variability such as mean and coefficient of variation, however, the heritable portion of the total variability cannot be revealed by these simple measures.…”

Section: Resultsmentioning

confidence: 99%

Morpho-agronomıc varıabılıty, herıtabılıty and genetıc advance studıes ın sesame (sesamum ındıcum L.) In nıgerıa

Durodola,

Azeez,

Adubi

2024

Bangladesh J. Bot.

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The study explored morpho-agronomic and biochemical traits to assess variability level and the degree of genetic diversity in 15 Sesame accessions. Data were subjected to analysis of variance, multivariate analyses, and genetic parameters were estimated. Significant differences (P < 0.05) existed among the accessions in all the characters. Four components with a cumulative variation of 85.7% were extracted. Substantial broad sense heritability estimates and high genetic gain were observed in secondary branches (97.8%; 719.4%), primary branches (96.1%;142,5%), capsules per plant (97.8%; 141.1%), single plant seed yield (86.87%; 46.03%), capsule length (99.16%; 32%), and 500 seed weight (95.15%; 34.12%). It may be inferred that a considerable level of variability existed among the accessions studied and charcters like branching habit, capsules per plant, capsule length and single plant seed yield could be considered for selection in breeding for superior genotypes. Bangladesh J. Bot. 53(1): 75-81, 2024 (March)

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“…As such, it has been made possible to expedite the Plants 2024, 13, 1765 2 of 16 discovering of genes and alleles controlling these traits via genome-wide association studies (GWAS), genetic mapping, and omics approaches such transcriptomics, metabolomics, and lipidomics, and the selection of parental accessions for use in conventional plant breeding techniques. As one of the important oil crops, sesame's germplasm and accessions were characterized both phenotypically [4][5][6][7][8][9] and genetically [10][11][12], indicating the possibility of improving sesame for high productivity and biotic and abiotic stress tolerance [5,13,14]. Sesame's genetic diversity was assayed using different types of biochemical [15] and molecular markers, among which were random amplified polymorphic DNA (RAPD) [16][17][18], simple sequence repeats (SSR) [4,5,19,20], inter-simple sequence repeats (ISSR) [11,21], amplified fragment length polymorphism (AFLP) [7,22], and sequence-related amplified polymorphism (SRAP) [23].…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity and Population Structure of a Large USDA Sesame Collection

Seay,

Szczepanek,

De La Fuente

et al. 2024

Plants

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Sesame, Sesamum indicum L., is one of the oldest domesticated crops used for its oil and protein in many parts of the world. To build genomic resources for sesame that could be used to improve sesame productivity and responses to stresses, a USDA sesame germplasm collection of 501 accessions originating from 36 countries was used in this study. The panel was genotyped using genotyping-by-sequencing (GBS) technology to explore its genetic diversity and population structure and the relatedness among its accessions. A total of 24,735 high-quality single-nucleotide polymorphism (SNP) markers were identified over the 13 chromosomes. The marker density was 1900 SNP per chromosome, with an average polymorphism information content (PIC) value of 0.267. The marker polymorphisms and heterozygosity estimators indicated the usefulness of the identified SNPs to be used in future genetic studies and breeding activities. The population structure, principal components analysis (PCA), and unrooted neighbor-joining phylogenetic tree analyses classified two distinct subpopulations, indicating a wide genetic diversity within the USDA sesame collection. Analysis of molecular variance (AMOVA) revealed that 29.5% of the variation in this population was due to subpopulations, while 57.5% of the variation was due to variation among the accessions within the subpopulations. These results showed the degree of differentiation between the two subpopulations as well as within each subpopulation. The high fixation index (FST) between the distinguished subpopulations indicates a wide genetic diversity and high genetic differentiation among and within the identified subpopulations. The linkage disequilibrium (LD) pattern averaged 161 Kbp for the whole sesame genome, while the LD decay ranged from 168 Kbp at chromosome LG09 to 123 Kbp in chromosome LG05. These findings could explain the complications of linkage drag among the traits during selections. The selected accessions and genotyped SNPs provide tools to enhance genetic gain in sesame breeding programs through molecular approaches.

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Genetic diversity and association of yield‐related traits in sesame

Cited by 4 publications

References 29 publications

Evaluation of mustard genotypes [Brassica juncea (L.) Czern and Coss] for quantitative traits and character association of seed yield and yield components at sub Himalayan region of West Bengal (India)

Evaluation of mustard genotypes [Brassica juncea (L.) Czern and Coss] for quantitative traits and character association of seed yield and yield components at sub Himalayan region of West Bengal (India)

Morpho-agronomıc varıabılıty, herıtabılıty and genetıc advance studıes ın sesame (sesamum ındıcum L.) In nıgerıa

Genetic Diversity and Population Structure of a Large USDA Sesame Collection

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