Analysis of genetic architecture for some physiological characters in sesame (Sesamum indicum L.)

Banerjee, P. P.; Kole, P. C.

doi:10.1007/s10681-008-9871-6

Cited by 41 publications

(36 citation statements)

References 23 publications

(19 reference statements)

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“…These results indicated adequate variability in these materials. Similar results were reported by Solanki and Gupta (2001), Kumaresan and Nadarajan (2002) and Banerjee and Kole (2006). Days to 50% flowering ranged from 33 to 45 days.…”

Section: Results and Discussion Variabilitysupporting

confidence: 89%

GENERATION MEAN ANALYSIS FOR YIELD AND YIELD COMPONENTS IN SESAME (Sesamumindicum L.)

Ali¹

2015

Int. J. Environ.

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Two parents with contrasting characters were used, viz; Gd2002SPSN.29 and Ziraa-9 described as (P1) and (P2) respectively. They were selected from the sesame breeding program, Gedarif Research Station, ARC, Sudan. In season 2004 the two parents were crossed to produce F1 hybrid. In season 2005 parents and their F1 were grown. Part of the F1 was selfed to produce F2 and the other part was back crossed to both parents to produce Bc1 and Bc2 progenies. In season 2006 the parents (P1, P2), and their F1and F2 and back crosses (Bc1, Bc2) populations were evaluated in a randomized complete block design with three replicates. A wide range of variability was exhibited for most of the characters. The highest seed yield was obtained by the BC2 (714 Kg.ha -1 ), while the lowest was obtained by the BC1 (286 Kg.ha -1 ). Considering the nature and magnitude of gene action, improvement of days to 50% flowering, days to maturity, plant height, number of branches plant -1 , height to first branch, height to first capsule, capsule length and 1000-seed weight could be achieved through simple pedigree method while hybrid breeding would be most effective for seed yield plant -1 and seed yield.ha -1 .

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Section: Results and Discussion Variabilitysupporting

confidence: 89%

GENERATION MEAN ANALYSIS FOR YIELD AND YIELD COMPONENTS IN SESAME (Sesamumindicum L.)

Ali¹

2015

Int. J. Environ.

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“…Significant G × E interactions for CGRs, LAI 1 and LAI 2 and flowering and maturity traits indicated differential responses of the genotypes over seasons. A wide range of variation for physiological parameters in sesame was reported by Banerjee & Kole (2006b *, **Significant at P = 0.05 and 0.01, respectively; df -degrees of freedom; CGR -crop growth rates at 3 phases; LAI -leaf area index at 4 terms; DPF -days to peak flowering; DF -duration of flowering; DFM -duration from peak flowering to maturity; OY -oil yield per plant indicating less divergence among some genotypes, while others were quite diverse. It was possible to group the examined sesame genotypes into eight different clusters ( Table 3.…”

Section: Resultsmentioning

confidence: 99%

“…Despite the nutritional value and oil quality, the research on sesame has been scarce (Bedigian 2003). Average productivity of this important oil seed crop in India is 453 kg of seed/ha, which is far below the average productivity in China (1127 kg/ha) and in Egypt (1211 kg/ ha) (Banerjee & Kole 2009).…”

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confidence: 83%

“…But information on genetic diversity based on physiological traits is very limited in sesame. Studies on morphological differences among genotypes provided little understanding of the underlying physiological-genetic controls over accumulating the yield (Banerjee & Kole 2009). Loomis (1993) suggested that crop yield could be raised by optimizing crop structure and physiology.…”

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confidence: 99%

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Analysis of genotypic diversity in sesame (Sesamum indicum L.) based on some physiological characters

Banerjee¹,

Kole²

2009

CZECH J GENET PLANT

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Genetic diversity among 30 sesame genotypes, collected from different parts of India, was studied using measurements of leaf area index (LAI) obtained 30, 45, 60 and 75 days after sowing (DAS), crop growth rates (CGR) estimated between the above leaf area measurements (i.e. 30 to 45 DAS, 45 to 60 DAS and 60 to 75 DAS), days to peak flowering, duration of flowering, duration from peak flowering to maturity and oil yield per plant. The normalised Euclidean distance was calculated from the data, and, independently, the Mahalanobis D 2 statistics was calculated after dimensionality was reduced by pivotal condensation. The clustering pattern obtained by D 2 analysis agreed closely with the dendrogram constructed from the Euclidean distance matrix.In general, the distribution pattern of genotypes in different clusters indicated that genetic divergence was not related to geographical differentiation. However, it was evident that a certain degree of genotypic divergence resulted from the geographic origin of the cultivars. Duration from peak flowering to maturity contributed most to the observed diversity, followed by days to peak flowering, duration of flowering, LAI at 30 DAS and 75 DAS, oil yield per plant and LAI at 60 DAS. Therefore, a greater emphasis should be laid on these characters in the selection of parents for further breeding programmes.

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“…The knowledge of genetic variation present between indigenous and exotic collection of sesame will provide critical information for better management strategy for crop improvement in adverse conditions. Diversity analyses based only on morphological characters are prone to environmental bias due to environmental influences and complex genetic structure of different morphological traits (Banerjee and Kole 2009;Tabatabaei et al 2011). So combination of both morphological and molecular study would be more preferable.…”

Section: Introductionmentioning

confidence: 99%

Morphological and genetic diversity assessment of sesame (Sesamum indicum L.) accessions differing in origin

Pandey

Das

Rai

et al. 2015

Physiol Mol Biol Plants

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Sesame is an important ancient oilseed crop of high medicinal value. In the present study, 37 characters including both quantitative and qualitative traits of sixty genotypes were characterized following IPGRI morphological descriptors for sesame. Multivariate analysis was computed to distinguish the varieties into different groups. Though thirty six microsatellite markers including genomic and Est-SSR markers were initially selected, but, finally, the accessions were genotyped by eight polymorphic primers. Altogether, 27 alleles were detected among the 60 genotypes, with an average of 3.37 alleles per locus. The number of alleles ranged from 2 to 6 alleles. From data of microsatellite markers, dissimilarity coefficients between varieties were computed following Jaccard's coefficient method. Principal co-ordinate analysis was used to represent the varieties in bi-directional space. Dendrogram was constructed using NJ method based on dissimilarity matrix. Cluster analysis based on morphological and molecular marker classified sesame genotypes into two major groups. Mantel test showed an insignificant correlation between phenotypic and molecular marker information. The genotypes belonging to the same geographical area did not always occupy the same cluster. The results confirmed that both genetic and phenotypic diversity in a combined way could efficiently evaluate the variation present in different sesame accessions in any breeding program.

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Analysis of genetic architecture for some physiological characters in sesame (Sesamum indicum L.)

Cited by 41 publications

References 23 publications

GENERATION MEAN ANALYSIS FOR YIELD AND YIELD COMPONENTS IN SESAME (Sesamumindicum L.)

GENERATION MEAN ANALYSIS FOR YIELD AND YIELD COMPONENTS IN SESAME (Sesamumindicum L.)

Analysis of genotypic diversity in sesame (Sesamum indicum L.) based on some physiological characters

Morphological and genetic diversity assessment of sesame (Sesamum indicum L.) accessions differing in origin

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