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Sivasamy, R.
- Evaluation of Soil Resources for Productivity Through Remote Sensing in GIS Environment
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Indian Forester, Vol 137, No 2 (2011), Pagination: 175-183Abstract
Soil resources of the coastal region of Cuddalore district of Tamilnadu were evaluated to assess the productivity rating for field crops, pastures, agroforestry, forestry and other tree crops. The soil resources were inventoried using remote sensing approach. The IRS 1D PAN merged LISS III data at 1:50,000 scale was used for pre-field interpretations. The soils mapped were evaluated for its productivity for agricultural, pasture, agroforestry, forestry and other tree crops. The texture of the soils varied from sandy to clayey due to the coastal sand dune landforms (72%). Loam (Arasanatham, Srinivasapuram and Mangadu series) and clay soil (Kondal series) occupied 16 and 3%, respectively which falls under alluvium landform. The mean pH of the soils ranged from 6.79 to 8.29. The neutral soil phase (6.5 to 7.5) was recorded in Mahabalipuram, Vandiyampalayam, Padugai, Pulavanur and Arasanatham series which occupied 58% (4905 ha) of the study area. The remaining soil series exhibited alkaline pH ranging from 7.85 to 8.29 (3688 ha; 42%). The study revealed that 71, 16 and 3 % of the area falls under Entisols, Inceptisols and Veritsols, respectively.Keywords
Coastal Lands, Remote Sensing, Productivity Rating, Soil Resource Inventory- Spatial and Temporal Variation in Groundwater Characteristics of the Coastal Regions of Tamil Nadu
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Indian Forester, Vol 137, No 8 (2011), Pagination: 1009-1014Abstract
This research work was aimed to study the spatial and temporal changes in groundwater quality of the coastal region of Cuddalore district, Tamil Nadu. The study was conducted during 2006 for which the coastal area was divided in to three zones based on 1.5 km spatial distance from sea. The groundwater was collected from 27 representative shallow wells for the whole year with three-month interval representing different seasons. The water samples collected were characterized for its chemical composition as well as electro-che mical properties. Based on the chemical composition, different quality parameters were arrived. The results revealed that 88 per cent of the wells recorded for slightly alkaline pH ranging from 7.6 to 7.9 with electrical conductivity varying froml.l to 4.0 dS m-1. The sodium and magnesium hazard was higher in most of the wells. Seawater intrusion is the key factor, which decides the quality of groundwater in this coastal zone. Natural rainfall is the next most important factor which balances the negative effects of seawater intrusion. In total, the grolIDdwater quality of this coastal zone was poor during swnm.er and optimum during monsoon and post monsoon seasons which necessitates that sufficient care may be taken when using this water for agricuJtura1/agroforestry/fOrestry/other land use purposes.Keywords
Ground Water Quality, Coastal Region. Seawater Intrusion, Spatial Variation. Temporal Variation- Analyzing Variability in Coleus forskohlii Briq. Using RAPD Markers
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Affiliations
1 Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore - 641 003, IN
2 TNAU, Coimbatore-641003, IN
3 Department of Biotechnology, Bharathiyar University, Coimbatore-641046, IN
1 Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore - 641 003, IN
2 TNAU, Coimbatore-641003, IN
3 Department of Biotechnology, Bharathiyar University, Coimbatore-641046, IN
Source
Journal of Horticultural Sciences, Vol 4, No 2 (2009), Pagination: 143-147Abstract
Coleus forskohlii Briq. is an indigenous medicinal plant with high traditional use in India. Genetic analysis of 37 diverse C. forskohlii genotypes was performed using 25 RAPD primers, which yielded 117 bands, of which 60 (51.28%) were polymorphic providing an average of 3.75 bands per primer. There were no genotype-specific products. The number of bands per primer varied from 1 (OPZ 8&16) to 7 (OPZ 11). Similarity matrix was constructed using Jaccard's Coefficient and the data matrix of coefficient of similarity was subjected to cluster analysis using unweighted pair group methodology with arithmetic average (UPGMA). Cluster analysis resulted in grouping of 37 genotypes into two major clusters. The results indicated that RAPD could be used for genetic diversity analysis in C. forskohlii using higher number of primers as it is reliable, easy, rapid and cost-effective.Keywords
Coleus forskohlii, Genetic Diversity, RAPD.- Assessment of Soil Organic Carbon (SOC) Stock in Different Agro-Climatic Zones of Tamil Nadu
Abstract Views :175 |
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Authors
R. Rajeswari
1,
R. Sivasamy
1
Affiliations
1 Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
1 Tamil Nadu Agricultural University, Coimbatore (T.N.), IN