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Verma, M. K.
- Vegetational Structures and Species Diversity in Tropical Dry Deciduous Forest of Uttar Pradesh, India
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Authors
Affiliations
1 Institute of Environment and Development Studies, Bundelkhand University, Jhansi, IN
1 Institute of Environment and Development Studies, Bundelkhand University, Jhansi, IN
Source
Indian Forester, Vol 141, No 7 (2015), Pagination: 789-797Abstract
The forests of Lalitpur district of Bundelkhand region of Uttar Pradesh, India have been undertaken for phytosociological attributes of the forest community. The survey documentation of the plant species in the different forests areas recorded 59 species of tree and 40 species of shrubs/herbs/climbers. The dominant tree species Butea monosperma exhibited higher IVI value (21.87) and among shrub/herb/climber species Flacourtia indica exhibited 2 higher IVI value (62.13). The basal area of different tree species varied between 6.7029 to 0.0039 m2/ha where Butea monosperma showed maximum density among the trees and the basal area of different shrub/herb/climber species varied between 0.4329 to 0.0006 m2/ha where Zizyphus mauritiana showed maximum density. The species diversity (H'), equitability (E) and concentration of dominance (D) have been recorded as 3.65, 0.89 and 0.97 for tree species whereas 3.20, 0.87 and 0.93 for lower group of plants respectively.Keywords
Bundelkhand, Biodiversity, Phytosociology, Species Richness, Vegetation Analysis.
- Effect of Genetic and Non-Genetic Factors on Milk Yield and Milk Constituents of Sahiwal Cattle
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Authors
Affiliations
1 Division of Dairy Cattle Breeding, National Dairy Research Institute, KARNAL (HARYANA), IN
2 Division of Dairy Cattle Nutrition, National Dairy Research Institute, KARNAL (HARYANA), IN
3 Livestock Production and Management Section, National Dairy Research Institute, KARNAL (HARYANA), IN
4 Bihar Veterinary College, PATNA (BIHAR), IN
1 Division of Dairy Cattle Breeding, National Dairy Research Institute, KARNAL (HARYANA), IN
2 Division of Dairy Cattle Nutrition, National Dairy Research Institute, KARNAL (HARYANA), IN
3 Livestock Production and Management Section, National Dairy Research Institute, KARNAL (HARYANA), IN
4 Bihar Veterinary College, PATNA (BIHAR), IN
Source
Research Journal of Animal Husbandry & Dairy Science, Vol 6, No 1 (2015), Pagination: 44-47Abstract
The present study pertained to records on milk production and milk constituents of 259 Sahiwal cattle with 600 lactations spread over a period of 10 years from 2001 to 2010, collected from Dairy Cattle Breeding division of National Dairy Research Institute, Karnal, Haryana. To study the effect of various genetic and non-genetic factors on milk yield and milk constituents traits, mixed model least square analysis was used for analysis of data. Overall least square mean for all lactation traits of total milk yield (TMY), milk yield in 305 days or less (305MY), lactational average fat per cent (LFA) and lactational average solid not fat per cent (LSA) were 1880.39 ± 73.82 kg, 1782.97 ± 68.37 kg, 4.71 ± 0.01 per cent and 8.81 ± 0.01 per cent, respectively. Analysis of variance showed that the differences were statistically significant for the effect of sire on TMY and 305MY; period on all the traits except TMY; parity on 305MY. However, the effect of season of calving was not found significant on all the traits.Keywords
Genetic and Non-Genetic Factors, Mixed Model, TMY, 305MY, LFA, LSA.- GICDB:An Oncogenomic Database of Gastrointestinal Cancer
Abstract Views :244 |
PDF Views:70
Authors
Affiliations
1 Sub-Distributed Informatics Centre of Bioinformatics, National Institute of Technology, Raipur 492 010, IN
1 Sub-Distributed Informatics Centre of Bioinformatics, National Institute of Technology, Raipur 492 010, IN
Source
Current Science, Vol 112, No 09 (2017), Pagination: 1822-1825Abstract
Gastrointestinal Cancer Database (GICDB) is a repository of genetic association studies on gastrointestinal cancer which allows researchers to interpret the risk factors of the disease accurately and provide new insights towards further work. GICDB has been developed to provide a platform to clinicians and researchers for the easy retrieval of appropriate information. All data are stored and managed in MySQL and web interface has been developed in ASP. Currently, the database integrates information of 463 genes and 713 miRNA; these genes are implicated in the diverse phases of various gastrointestinal (GI) cancers. GICDB is distinct from other databases in that: (i) it consists of information on genes and miRNAs involved in various GI cancers; (ii) data in GICDB are linked to other on-line resources such as Entrez, Ensemble, UniGene, Swiss-Prot and On-Line Mendelian Inheritance in Man; (iii) there is information on GI cancer-associated drugs retrieved from DrugBank, and (iv) it also integrates the information related to medicinal plants and their use in the treatment of different GI cancers with the structure of their chemical constituents. Unambiguously this database would provide a platform to retrieve genuine information for researchers working on GI cancer. GICDB can be freely accessed at http://gidb.subdic-bioinformatics-nitrr.in/.Keywords
Gastrointestinal Cancer, Oncogenomic Database, Genes and miRNAs.Full Text
References
- Leo, S. et al., Carr systemic treatment of gastrointestinal cancer in elderly patients. J. Gastrointest. Cancer, 2013, 44(1), 22–32.
- Yamada, T. et al., Textbook of Gastroenterology, Blackwell Chichester, West Sussex, 2009, 5th edn, pp. 603, 1028; ISBN 978-1-4051-6911-0. OCLC 404100761 (https://www.worldcat.org/oclc/404100761).
- Bjelakovic, G. 1, Nikolova, D., Simonetti, R. G. and Gluud, C., Antioxidant supplements for prevention of gastrointestinal cancers: a systematic review and meta-analysis. Lancet, 2004, 364(9441), 1219–1228.
- Rebecca, L., Siegel, MPH1* and Kimberly, D., Miller, MPH2; Ahmedin Jemal, DVM, PhD3 Cancer Statistics, CA: Cancer J. Clin., 2015, 65(1), 5–29.
- Boland, C. R., The molecular biology of gastrointestinal cancer: implications for diagnosis and therapy. Gastrointest. Endosc. Clinics North Am., 2008, 18(3), 401-vii; doi:10.1016/j.giec.2008.03.003.
- Langho, L. et al., Liverome: a curated database of liver cancerrelated gene signatures with self-contained context information. BMC Genom., 2011, 12, S3; doi:10.1186/1471-2164-12-S3-S3.
- Chelala, C. et al., Crnogorac-Jurcevic pancreatic expression database: a generic model for the organization, integration and mining of complex cancer datasets. BMC Genom., 2007, 8, 439.
- Essack, M. I. et al., DDEC: Dragon database of genes implicated in esophageal cancer. BMC Cancer, 2009, 9, 219; doi:10.1186/1471-2407-9-219.
- Maglott, D., Ostell, J., Pruitt, K. D. and Tatusova, T., Entrez Gene: gene centered information at NCBI. Nucleic Acids Res., 2007, 35, D26–D31.
- Safran, M. et al., GeneCards: towards a complete, object-oriented, human gene compendium. Bioinformatics, 2002, 18, 1542–1543.
- Amberger, J., Bocchini, C. A., Scott, A. F. and Hamosh, A., McKusick’s Online mendelian inheritance in man (OMIM). Nucleic Acids Res., 2009, 37, D793–D796.
- Pedro, M., Costa 1, 2 and Maria, C. Pedroso de Lima MicroRNAs as Molecular Targets for Cancer Therapy: On the Modulation of MicroRNA Expression. Pharmaceuticals, 2013, 6, 1195–1220.
- Wishart, D. S. et al., DrugBank: a knowledgebase for drugs, drug actions and drug targets. Nucleic Acids Res., 2008 36, D901–D906.
- Hatfield, C. L., May, S. K. and Markoff, J. S., Quality of consumer drug information provided by four Web sites. Am. J. Health Syst. Pharm., 1999, 56, 2308–2311.
- Kanehisa, M., Goto, S., Furumichi, M., Tanabe, M. and Hirakawa, M., KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Res., 2010, 38, D355–D360.
- Sayers, E. W. et al., Database resources of the national center for biotechnology information. Nucleic Acids Res., 2010, 38, D5–D16.
- Hodge, A. E., Altman, R. B. and Klein, T. E., The PharmGKB: integration, aggregation, and annotation of pharmacogenomic data and knowledge. Clin. Pharmacol. Ther., 2007, 81, 21–24.
- Mouli, K. C., Vijaya, T. and Rao, S. D., Phytoresources as potential therapeutic agents for cancer treatment and prevention. J. Global Pharma Technol., 2009, 1(1), 4–18.
- Barbosa, L. C., Garrido, S. S. and Marchetto, R., BtoxDB: a comprehensive database of protein structural data on toxin-antitoxin systems. Comput. Biol. Med., 2015, 58C, 146–153.
- Griffiths-Jones, S., Grocock, R. J., van Dongen, S., Bateman, A. and Enright, A. J., miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res., 2005, 34, D140–D144.
- Maqungo, M. et al., Bajic DDPC: dragon database of genes associated with prostate. Cancer Nucleic Acids Res., 2010, 1–6.
- Dhanamani, M., Lakshmi Devi, S. and Kannan, S., Ethnomedicinal plants for cancer therapy – a review. J. Drugs Med., 2011, 3(1), 1–10.
- A Study of Climate Change Impact on Precipitation of Sheonath River Basin
Abstract Views :191 |
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Authors
Affiliations
1 Civil Engineering Department NIT, Raipur – 492010, Chhattisgarh, IN
1 Civil Engineering Department NIT, Raipur – 492010, Chhattisgarh, IN
Source
Indian Journal of Science and Technology, Vol 10, No 11 (2017), Pagination:Abstract
Objectives: Climate change impact assessment on precipitation data. Methods/Statistical analysis: This study is done for estimating the impact of climate change on the precipitation of Jondhara station, in the Seonath river basin, Chhattisgarh, India under A2 and B2 scenario of the HadCM3 GCM model. Statistical Downscaling Model (SDSM) was applied in this work. Selection of predictor variables is the most important steps in the statistical downscaling processes because it mostly affects the quality of the generated scenarios. Linear scaling method was used for the bias correction of the downscaled data in the study. Findings: The values ofR2 and NSE were0.78 and 0.78respectively, for the calibration period (1980-1991) and for the validation period (1992-2001) are 0.70 and 0.69 respectively. These parameters show the good applicability of the model performance. The change in mean annual precipitation during the period 2020- 2049, 2050-2079 and 2080– 2099 are -0.28%, -0.61%, and -2.39% respectively for A2 Scenario in comparison to the baseline period. Similarly, the values are increased 0.22%, 2.22%, and 2.00% respectively for theB2 scenario. Application/Improvements: This paper elaborates the effect of climate change on the precipitation of the Seonath river basin.Keywords
Bias Correction, Climate Change, General Circulation Model, Statistical Downscaling Model (SDSM)Full Text
- Diversion Tunnel of Hydropower Projects for Sediment Management
Abstract Views :123 |
PDF Views:164
Authors
Affiliations
1 Government of India, Ministry of Water Resources, Central Water & Power Research Station, Pune-411024, IN
1 Government of India, Ministry of Water Resources, Central Water & Power Research Station, Pune-411024, IN
Source
International Journal of Earth Sciences and Engineering, Vol 10, No 2 (2017), Pagination: 393-397Abstract
Power potential of Himalayan Rivers is being harnessed with a great effect for last many decades and will be continued in future also. The major problem with these rivers is the enormous amount of sediment they carry with them due to steep slopes and fragile geology. The suspended part of sediment load finds its way into the water conductor system through power intake causing damage to turbines and other underwater parts in the power house. The use of diversion tunnel to deal with this problem is discussed in this paper with the help of a case study conducted at Central Water and Power Research Station (CWPRS), Pune.Keywords
Diversion Tunnel, Sediment Bypassing, Suspended Sediment, Design Discharge, Dam, Power Intake, Sluice Spillway, Desilting Basin.Full Text
- Effect on Microstructure of TMT Welded Bar under Different Cooling Media
Abstract Views :81 |
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Authors
Affiliations
1 CSIR–Central Institute of Mining & Fuel Research, Dhanbad, Jharkhand., IN
2 Production Technology, B.I.T Sindri, Dhanbad, Jharkhand., IN
1 CSIR–Central Institute of Mining & Fuel Research, Dhanbad, Jharkhand., IN
2 Production Technology, B.I.T Sindri, Dhanbad, Jharkhand., IN
Source
Journal of Mines, Metals and Fuels, Vol 66, No 6 (2018), Pagination: 354-362Abstract
Arc welding is widely used for domestic as well as industrial purposes as it is very convenient to use. Mechanical properties such as tensile strength and hardness depend on microstructure. This paper presents the results of metallography examination of weld zone and heat affected zone (HAZ) in the welded rod which are welded and cooled in air, transformer oil, kerosene oil and water. The rate of cooling differs from each media thus there is microstructure change in weld zone as well as HAZ. In the weld zone, hardness is found to be more in case of transformer oil cooled sample in comparison with others cooling method applied here. The toughness of water cooled sample is found to, be more because of its presence of large amount of ferrite region along with pearlite and martensite. In the heat affected zone, water cooled sample is found to possess mare hardness due to formation of martensite. The arc welded transformer oil cooled sample seems to be best among all with regard to its structure, hardness and toughness.Keywords
: TMT, microstructure, welding, quenching, heat affected zone.References
- Groover, M. P. (2010): Fundamentals of Modern Manufacturing, Wiley India Publication, 2010, pp. 689-691.
- Datta, Rameen, Veeraraghavan, R. and Rohiraa, K. L. (2009): “Weldability Characteristic of Torr and CorrosionResistant TMT Bar Using SMAW Process,” Journal of Material Engineering and Performance, 11 (2009), pp. 369-375.
- Zakaria, Boumerzoung, Chemseddine, Defouf and Thierry, Baudin (2010): “Effect of Welding on Microstructure and Mechanical Properties of Industrial Low Carbon Steel.” Engineering (science research), 2 (2010), pp. 502-506.
- Ahmad, R. and Bakar, M. A. (2011): .“Effect of a post-weld heat treatment on the mechanical and microstructure properties of AA6061 joints welded by the gas metal arc welding cold metal transfer method,” Materials and Design, 32 (2011), pp. 5120-5126.
- Temmar, M., Hadji, M. and Sahraoui, T. (2011): “Effect of post-weld aging treatment on mechanical properties of Tungsten Inert Gas welded low thickness 7075 aluminium alloy joints,” Materials and Design 32 (2011), pp. 3532- 3536.
- Singh, C. D. , Dhua, S. K., Kumar, M., Jha, A. K., Mrinal, T., Sharma, K., Abhyuday, R. R. and Kumar, Y. (2007): “Metallurgical Investigation of a Prematurely Failed Concentric Reducer Tube Used in a Hot Rolling Mill,” J. Fail. And Prevention, 2007 (70), pp. 292-301.