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Agricultural Collection
Basic & Applied Science Collection
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K. Manonmani
R. Jagannathan
M. Jayasekhar
N. P. Nathan
K. N. Rao
A. Muthukumar
A. S. Krishnamoorthy
R. Tamilselvan
V. Hariharaprabu
C. Palanisamy
Indian Journal of Agricultural Research
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78)
Journal of Biological Control
Data Mining and Knowledge Engineering
Journal of Engineering Education Transformations
Biochemical Changes in Acid Lime During Pathogenicity of Canker Pathogen
Abstract Views :115 | PDF Views:1
K. Manonmani 1, R. Bhaskaran 2, R. Jagannathan 2, M. Jayasekhar 1
1 Krishi Vigyan Kendra, Pechiparai, Kanyakumari, IN
2 Agricultural College and Research Institute TNAU, Madurai-625 002, IN
Indian Journal of Agricultural Research, Vol 43, No 3 (2009), Pagination: 157-165
Studies were conducted to screen out the compatible host and pathogen combination with acid lime and canker causing pathogenic culture of Xanthomonas axonopodis Pv. Citri (Xac). Among the 21 isolates collected from acid lime cultivating areas of Tamil Nadu, isolate I3 was found to be the most virulent. This compatible combination was tested under controlled environment condition at 28°C and its effect on biochemical parameters of host metabolism was studied. The biochemical changes in the host during the course of pathogenicity include, slight increase in protein, phenol, phenyl alanine ammonia lyase (PAL), β-1, 3-glucanase and chitinase enzymes. Significant increase in the activities of peroxidase (POX), polyphenol oxidase (PPO) and catalase was observed in the infected tissues. Total and non-reducing sugars decreased, but reducing sugar content increased slightly.
Acid Lime, Pathogenicity, Xanthomonas axonopodis Pv. Citri, Biochemical Changes.
The Oddanchattram Anorthosite
Abstract Views :44 | PDF Views:36
N. P. Nathan 1, R. Bhaskaran 2, K. N. Rao 3
1 Geological Survey of India, Op TN, Ponds, Kerala, IN
2 Geological Survey of India, Chennai - 600 090, IN
3 Petrology Division, S R Geological Survey of India, Hyderabad - 500 068, IN
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 68, No 4 (2006), Pagination: 723-724
No Abstract.
Efficacy of Anti-Microbial Metabolites of Pseudomonas fluorescens (Trevisan) Migula against Rhizoctonia solani kuhn. and Pythium sp.
A. Muthukumar 1, R. Bhaskaran 2
1 Department of Plant Pathology, Annamalai University, Annamalainagar 608 002, Tamil Nadu, IN
2 Coconut Research Station, Veppankulam, Tamil Nadu Agricultural University, Coimbatore, IN
Journal of Biological Control, Vol 21, No 1 (2007), Pagination: 105-110
Pseudomonas fluorescens isolate (1-12) were collected from the rhizosphere soil and tested for their efficacy against Rhizoctonia solani causing sheath blight of rice and Pythium sp, causing damping-off of chilli. Among the 12 isolates, P. fluorescens 3 and 4 were very effective in inhibiting the mycelial growth of R. solani and Pythium sp. All the 12 isolates of P. fluorescens were tested for (he production of siderophore, salicylic acid and HCN. The isolates of P. fluorescens 3 and 4 alone showed higher production of siderophore, salicylic acid and hydrogen cyanide
Hydrogen Cyanide, Pseudomonas fluorescens, Pythium sp., Rhizoctonia solani, Salicylic Acid, Siderophore.
Biological Control of Damping-Off Disease of Tomato Caused by Pythium indicum Balakrishnan
A. S. Krishnamoorthy 1, R. Bhaskaran 1
1 Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore - 641 003, IN
Journal of Biological Control, Vol 4, No 1 (1990), Pagination: 52-54
A pot culture experiment was conducted to find out the efficacy of antagonists in the control of damping-off disease of tomato caused by Pythium indicum Balakrishnan. Soil inoculation with Trichoderma viride Pers., T. harzianum Rifai, and Laetisaria arvalis Burdsall, gave good control of the pathogen and the treated pots recorded 78.2, 70.9 and 72.2 per cent seed germination respectively as against 19.3 per cent in the control. Seed treatment with T. viride, T. harzian um and L. arvails was also found to be equally good. The results obtained were comparable to soil drenching with fungicides like fenaminosu1f, copper oxychloride and seed treatment with captan or thiram. However, improved seedling vigour was noticed in the treatments with antagonists than with fungicides.
Tomato, Damping-Off, Biological Control, Seedling Vigour.
A Data Clustering Using Visual Assessment of Cluster Tendency Algorithm of Data Partitioning Methods
R. Tamilselvan 1, V. Hariharaprabu 1, R. Bhaskaran 1, C. Palanisamy 2
1 Department of IT, Vivekananda Institute of Engineering and Technology for Women, Elayampalayam, Namakkal-637205, Tamilnadu, IN
2 Department of IT, Bannari Amman Institute of Technology, Sathyamangalam, Erode-637205, Tamilnadu, IN
Data Mining and Knowledge Engineering, Vol 3, No 11 (2011), Pagination: 690-696
This paper proposes a new innovative algorithm is called Visual assessment of cluster tendency, uses a visual approach to find the number of clusters in data. The Visual Assessment of (cluster) Tendency (VAT) method readily displays cluster tendency for small data sets as grayscale images, but is too computationally costly for larger data sets. We first study an important visual methods have been widely studied and used in data cluster analysis. The basis of the method is to regard D as a subset of known values that is part of a larger, unknown N×N dissimilarity matrix, and then impute the missing values from D. The VAT algorithm generally represent D as an N×N Image I(̅D) where the objects are reordered to reveal hidden cluster structure along the diagonal of the image. This paper addresses the limitation by proposing a VAT algorithm, where D is mapped ̅D in a graph embedding space and then reordered to ̅D using VAT algorithm. Two important points: i) because VAT is scalable by sVAT to data sets of arbitrary size, and because coVAT depends explicitly on VAT, this new approach is immediately scalable to say, the sVAT model, which works for even very large(unloadable) data sets without alteration; and ii) VAT, sVAT and coVAT are autonomous, parameter free models-no "hidden values" are needed to make them work. A sampling-based extended scheme is also proposed to enable visual cluster analysis for large data sets.Extensive experimental results on several synthetic and real-world data sets validate our VAT algorithms.
Clustering, Cluster Analysis, Cluster Tendency, Hidden Values, VAT, sVAT, coVAT.
The Undergraduate Project as a Platform for Industry Institution Interaction
Abstract Views :22 | PDF Views:0
R. Bhaskaran
Journal of Engineering Education Transformations, Vol 3, No 2 (1989), Pagination: 60-62
There is a gap between the training given in Engineering Institutions and what the Engineering Industries look for in a prospective graduate engineer. Both the industries and institutions are taking steps to reduce the gap. This paper puts forth a suggestion for industry-institution interaction through undergraduate projects. The proposal is for building up of a pool of industrial problems at Departmental, Institutional and Regional level which can be taken up as undergraduate projects. Representatives of concerned industry can also be involved in student vivavoce/Seminar.