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Kumaresan, V.
- The Host Range of Multi-Host Endophytic Fungi
Abstract Views :176 |
PDF Views:72
Authors
T. S. Suryanarayanan
1,
P. T. Devarajan
2,
K. P. Girivasan
3,
M. B. Govindarajulu
1,
V. Kumaresan
4,
T. S. Murali
5,
T. Rajamani
6,
N. Thirunavukkarasu
6,
G. Venkatesan
7
Affiliations
1 Vivekananda Institute of Tropical Mycology, RKM Vidyapith, Chennai 600 004, IN
2 Department of Plant Biology and Plant Biotechnology, Presidency College, Chennai 600 005, IN
3 Department of Botany, Government Arts College for Men, Nandanam, Chennai 600 035, IN
4 Department of Botany, Kanchi Mamunivar Centre for Post Graduate Studies, Puducherry 605 008, IN
5 Department of Biotechnology, School of Life Sciences, Manipal Academy of Higher Education, Manipal 576 104, IN
6 PG & Research Department of Botany, RKM Vivekananda College, Chennai 600 004, IN
7 Department of Botany, Mannai Rajagopalaswamy Government Arts College, Thanjavur 614 001, IN
1 Vivekananda Institute of Tropical Mycology, RKM Vidyapith, Chennai 600 004, IN
2 Department of Plant Biology and Plant Biotechnology, Presidency College, Chennai 600 005, IN
3 Department of Botany, Government Arts College for Men, Nandanam, Chennai 600 035, IN
4 Department of Botany, Kanchi Mamunivar Centre for Post Graduate Studies, Puducherry 605 008, IN
5 Department of Biotechnology, School of Life Sciences, Manipal Academy of Higher Education, Manipal 576 104, IN
6 PG & Research Department of Botany, RKM Vivekananda College, Chennai 600 004, IN
7 Department of Botany, Mannai Rajagopalaswamy Government Arts College, Thanjavur 614 001, IN
Source
Current Science, Vol 115, No 10 (2018), Pagination: 1963-1969Abstract
Mature leaves of 224 angiosperm plant species belonging to 60 families and growing in Andaman Islands, and the states of Arunachal Pradesh, Kerala and Tamil Nadu were sampled for the presence of endophytic fungi. Fungal genera such as Alternaria, Arthrinium, Aureobasidium, Chaetomium, Cladosporium, Glomerella/ Colletotrichum, Drechslera, Fusarium, Fusicoccum, Lasiodiplodia, Paecilomyces, Pestalotiopsis, Phoma, Diaporthe/Phomopsis, Guignardia/Phyllosticta, Sporormiella and Xylaria showed an isolation frequency of 5% or more. Species of Colletotrichum, Phyllosticta, Phomopsis and Xylaria occurred as endophytes in the leaves of many plant hosts including those that were taxonomically not closely related. The need to address the broad host range of some genera of fungal endophytes is discussed.Keywords
Diversity, Foliar Endophytes, Fungal Endophytes, Mutualism.Full Text
References
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- Improved Feature Extraction on Text Documents using Neural Network Model
Abstract Views :191 |
PDF Views:0
Authors
V. Kumaresan
1,
R. Nagarajan
1
Affiliations
1 Department of Computer and Information Science, Annamalai University, IN
1 Department of Computer and Information Science, Annamalai University, IN
Source
ICTACT Journal on Soft Computing, Vol 11, No 2 (2021), Pagination: 2279-2282Abstract
In natural language processing, the text clustering plays a major role on reducing the text dimensionality. However, the lack of data models has made the clustering algorithm to face sparsity problems. The integration with deep learning has resolved the problem of scarce knowledge on text documents. However, deeper architectures learn such redundant features, which limit the efficiency of solutions. In this paper, a complete extraction of features from text document using neural network model. The neural network model utilizes feed forward mechanism and a type of unsupervised learning that denoises the corrupted input features. The reconstructed feature is used for initialing the feed forward network. This method reduces the manual labelling in the process of screening. For evaluation, series of experiments are conducted to investigate the performance of the method over the text datasets with various conventional algorithms.Keywords
Text Document, Feature Extraction, Neural Network, Denoising.
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