Dr.B. Chandra Sekhar Singh
@ambou.edu.et
Department of Plant Science, College of Agriculture & Veterinary Sciences,
Ambo University, Ethiopia (East Africa)
Dr. Bhaludra Chandra Sekhar Singh is currently working as Assistant Professor of Genetics and Plant Breeding. He has completed his Ph.D. in Genetics from Osmania University, Hyderabad (India). His main area of interest focuses on Plant Genetics, Breeding, Plant Biotechnology, Molecular Biology and Biochemical Studies. His area of expertise includes Plant Sciences - Genomics, molecular markers, Cell Biology, animal models, and Biochemical studies by using natural products . He has published many publications in National and International journals. He has considerable research experience as well as teaching experience and agriculture farm management. He is also serving as reviewer in Natural Product Research, RSC Advances, Plant Cell Biotechnology and Molecular Biology and Journal of Bio assays.
EDUCATION
PhD (Plant Genetics)
RESEARCH INTERESTS
• Plant molecular biology/plant breeding: DNA genotyping, DNA fingerprinting, DNA sequencing, genetic linkage mapping, molecular markers and marker assisted selection (MAS), Linseed and sunflower breeding.
• Molecular biology/biotechnology: molecular biology and physiology of the response of plants to environmental stress; oxidative stress and antioxidant protective mechanisms; genetic modification of cereal crops, oil seed crops and medicinal plants
• Plant breeding and genetic improvement; Tef and Bread wheat sps and landraces; inheritance of disease resistance and stress tolerance; molecular and traditional breeding approaches
• Plant tissue culture, a micro-propagation technique which allows exact copies to be made of "parent" plants selected for certain desirable characteristics such as disease resistance, unusual colour, number of flowers, etc.
• Natural product chemistry/medicinal plants/natural products: isolation and purification; chromatography; mass spectrometry; structural determination.
Scopus Publications
Scopus Publications
Bhaludra Chandra Sekhar Singh
Hindawi Limited
Background and Objective. The study of the toxicity of hybrid nanoparticles is necessary before they are synthesized in the laboratory and used in any particular applications. The toxic behaviour of nanoparticles can cause harm for the living species on the Earth. The production of biocompatible hybrid nanoparticles is important. Hence, this study is aimed at determining that nanodiamond/Fe3O4 hybrid nanoparticles were prepared and used for the toxicity analysis on Allium cepa L. Materials and Methods. The chemicals of hydrochloric acid, nitric acid, FeCl3.6H2O, FeCl2.4H2O, NaCl, and NaOH (Sigma-Aldrich chemicals, USA) were utilized in this study. A statistical analysis was performed on the results with a prevalence of p < 0.05 . Results. A novel ND/Fe3O4 nanocomposite material was successfully synthesized by the in-situ method and characterized by various characterization techniques. The analysis of X-ray diffraction indicated the formation of an ND/Fe3O4 nanocomposite with both participating phases. The saturation magnification of the ND/Fe3O4 nanocomposite is 13.2 emu/g, whereas for a pure Fe3O4 nanomaterial, it is 47 emu/g. The weight rates of ND and Fe3O4 existent in the nanocomposite are 28% and 72%, respectively. From the electrical conductivity analysis, ND/Fe3O4 exhibits conductivity in the order of 27 times more compared to ND. Conclusion. The result implies that the product ND/Fe3O4 has both magnetic and electrical properties. The biocompatibility of the synthesized ND/Fe3O4 material was studied based on the in-vitro method.
Tarekegn Makiso Lagiso, B. Chandra Sekhar Singh, and Bulcha Weyessa
Springer Science and Business Media LLC
Sunflower is one of the most important oil crops in Ethiopia in terms of edible oil and holds significant promise for improvement and development improved varieties. The present study was initiated to study the genetic diversity and performance of sunflower genotypes that enables to harness its seed yield and oil content improvement by using 25 genotypes including two standard checks namely Russian black and Oissa at Holeta Agricultural research center by using simple lattice design. The genotypes characterized for different agro-morphological traits and oil content. The analyses of variances have revealed highly significant difference among the genotypes for all the characters. The data revealed that sufficient variability was present among sunflower genotypes considered under this study. High Phenotypic coefficient variation, Genotypic coefficient variation and estimates of heritability (broad sense) were obtained for seed yield, oil content, oil yield, and thousand seed weight while the above parameters were found to be less compared to characters. High heritability accompanied with high genetic advance, as per percentages of mean was observed in case of seed yield, oil content, oil yield per plot, harvest index, head diameter and plant height suggesting importance of additive genetic action in the inheritance of these characters. While, high heritability coupled with moderate genetic advance was observed for days to maturity and days to 50% flowering, seed yield per plant, leaf number and reproductive phase. These indicate that the traits were controlled by additive gene action. Days to maturity, oil yield, seed yield per plant, head diameter and reproductive phase revealed positive association and had positive direct effect of seed yield. Based on genetic distance (D2 value), the genotypes under this study were grouped into two clusters indicating wider genetic diversity among the genotypes. Among the two clusters, cluster II represented the largest genotypes (18) followed by cluster I (4) genotypes and cluster S1, S2, and S3 genotypes. The clustering pattern indicated the absence of relationship between genetic diversity and geographical origin of genotypes. The maximum inter-cluster distance was observed between cluster I (D2 = 6.85). Out of the thirteen traits four significant principal components (PCs) exhibited more than 1 Eigen value and showed about 80.2% variability among the genotypes studied. The first PC accounted 41% of the variances that implies greater proportion of variable information explained by PC1. This indicates that any improvement of these characters would result in a substantial increment of seed yield.
Dinsa Yadeta Dabalo, B. Chandra Sekhar Singh, and Bulcha Weyessa
Elsevier BV
Linseed is one of the most important oil seed crop in the central highlands of Ethiopia for which yield enhancement is the major breeding purposes and genotypic variability is important for selection in any breeding programs. However, shortage of improved varieties’ that provides optimum seed yield is one of the major constraints of the crop. Therefore, this study was carried out to assess the genetic variability and association among quantitative traits of 36 linseed genotypes. The experiment was conducted in 2018 main cropping season by using simple lattice design. The analysis of variances reveled highly significant difference among the genotype for most of traits considered in present study. High phenotypic and genotypic coefficient of variation was recorded for tiller per plant, harvest index, oil yield (kg ha−1), and seed yield (ton ha-1) number of capsules per plant. High heritability along with genetic advance was observed for seed yield (tones ha-1), oil yield (kg ha-1) harvest index which indicates selection of these traits at early generation would be effective. Oil yield (kg ha−1) harvest index and number of capsules plant −1 showed highly significant positive with seed yield (ton ha−1). Cluster analysis revealed that 36 linseed genotypes were grouped into two clusters and four genotypes remain ungrouped. The maximum inter clusters distance was observed between clusters II and the local check. The data set was reduced into four significant principal components (PCs) that comprise (80%) of the variance. The first PC accounted for 34% of the variances that implies greater proportion of variable information explained by PC1. The traits, which contributed more to PC1, were seed yield per plant, primary branches per plant, secondary branches per plant and plant height showed positive association and had positive direct effect on seed yield. This indicates that any improvement of oil yield and harvest index would result in substantial increase on seed.
Publications
Chandra Sekhar Singh Bhaludra, Adharvana Chari Murugulla, ChakrapaniPullagummi, Ajai Kumar Polkampalli and Roja Rani Anupalli (2014). Anticancer Studies of Leucovor in Against Methotrexate Induced Genotoxicity In Swiss Albino Mice. Letters in Drug Design & Discovery, 11:1:10-14. IF : 1.169