Tapash Dasgupta
University of Calcutta, Genetics and Plant Breeding, Faculty Member
- Biology, Bioinformatics, Plant Molecular Biology, Plant breeding and genetics, Agriculture (Biology), Marker assisted plant breeding, and 13 moreGenetics and Plant Breeding, Genetic Aanalysis of Agronomic characters in chickpea, Education, Biochemistry, Biological Anthropology, Intelligence, Learning, Academics, Plant Breeding, Sri Lanka, Crop genetic diversity, Molecular Anthropology, and Sesameedit
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... more
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 coordinate 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 phenotyp-ic diversity in a combined way could efficiently evaluate the variation present in different sesame accessions in any breeding program.
Research Interests:
Evaluation of germplasm for mineral content and selecting varieties with high quantities of essential minerals and incorporating those varieties in breeding program can assist in developing mineral-efficient crops with higher yield which... more
Evaluation of germplasm for mineral content and selecting varieties with high quantities of essential minerals and incorporating those varieties in breeding program can assist in developing mineral-efficient crops with higher yield which can accumulate minerals from marginal soil. Sesame an oldest oilseed crop is a popular food with medicinal value although its production is often focussed in marginal and sub-marginal lands. In the present study, 60 sesame genotypes of diverse origin collected from Bangladesh, Bulgaria, India and USA were examined in the acid-digested samples by atomic absorption spectrophotometer for Fe, Zn, Cu, Mn, Cr and Co contents. All elements except Cr were found to be highly variable among genotypes. A significant discrimination showed that elements content in the sesame seeds was a seed coat coloured specific character. High-yielding developed varieties of India contain high Zn but low Fe concentration in seed. The concentration of mineral elements in black-seeded genotypes was significantly higher than those in white seeded. The indigenous collections were found to be a good reservoir of mineral elements. Correlation study among trace elements and yield attributes indicated that though Fe and Zn were not correlated significantly with yield and its components, but the two elements were interrelated. Phenotypic and genotypic coefficient of variability and heritability were high for Fe and Zn. The study suggests that observed large genetic variability for element concentrations in the genotypes provides good prospects to breed improved sesame cultivars with elevated levels of micronutrients to mitigate mineral deficiency.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Jute (Corchorus spp.) is the second most important fibre producing plant in India. The study on jute at the molecular level till date is ver molecular markers in genetic studies. Recently with rapid advancement of sequencing and... more
Jute (Corchorus spp.) is the second most important fibre producing plant in India. The study on jute at the molecular level till date is ver molecular markers in genetic studies. Recently with rapid advancement of sequencing and documentation in public data base has enabled scientists in hassle free data mining. Development of high throughput method for detection of SSRs has given a new dimension in their use as molecular markers. In the present study, 826 EST sequences of Corchorus capsularis and 30 EST sequences of Corchorus olitorius, downloaded from National Center for Biotechnolo were analyzed through bioinformatic tools like UniVec, trimest, CAP3, and MISA. Several microsatellite markers were identified for these two species of jute which would be further helpful for genetic mapping. The study of function functional property of microsatellite markers and predicted protein domains. The functional domains designed from SSR and should
Research Interests:
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... more
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.
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.