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Gogoi, P.
- Differential Effect of some Arbuscular Mycorrhizal Fungi on Growth of Piper longum L. (Piperaceae)
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Authors
P. Gogoi
1,
R. K. Singh
1
Affiliations
1 Department of Botany, Rajiv Gandhi University, Rono Hills, Itanagar–791112, Arunachal Pradesh, IN
1 Department of Botany, Rajiv Gandhi University, Rono Hills, Itanagar–791112, Arunachal Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 4, No 2 (2011), Pagination: 119-125Abstract
The potential for arbuscular mycorrhizal fungi (AMF) to influence the host species depends on their affinities and effects. Twenty three different AMF strains from nearby localities were evaluated for their symbiotic response with Piper longum (long pepper). Saplings were raised in 10 cm thick sand-soil mix inoculated with isolates of different AM fungi. Almost all the studied AMF strains showed increase in plant growth, biomass and nutrient content (N&P) over the control, while retarded growth response was observed with the inoculation of 6 different AMF species. Considering the shoot length, total biomass, nutrient content, chlorophyll content and ischolar_main infection, pre-inoculation with 6 AMF species viz; Glomus fasciculatum, G. versiforme, G. clarum, Glomus sp. 2, G. mosseae and G. etunicatum appeared to be the most promising AM fungi for inoculating this medicinal plant.Keywords
Arbuscular Mycorrhizal Fungi, Piper longum, Biomass, Glomus Spp., Root InfectionFull Text
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- Land Cover Mapping and Dynamics of Kaziranga National Park, Assam, India
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Authors
Affiliations
1 Rain Forest Research Institute, Jorhat-785001, Assam, IN
2 Kaziranga National Park, Bokakhat, Assam, IN
1 Rain Forest Research Institute, Jorhat-785001, Assam, IN
2 Kaziranga National Park, Bokakhat, Assam, IN
Source
Indian Forester, Vol 140, No 1 (2014), Pagination: 11-17Abstract
Precise mapping of Kaziranga National Park (KNP), the natural world heritage site, is the prime objective of this paper. High resolution Indian remote sensing satellites including IRS P6 Panchromatic and LISS 4 image, with 2.5 m and 5.8 m spatial resolution respectively, were used for the same along with GPS and extensive field survey. A theme based hybrid approach was followed for classification of digital remote sensing images. The overall classification accuracy was estimated to be 91.7% where as K value implies that the classification process was avoiding 89.9% errors of a hat completely random classification. The Eastern alluvial grassland is found to be the predominant vegetation type which occupies 50.6% of the total park area. Semi-evergreen and moist mixed deciduous forests together occupy 21.8% of the total area followed by short grass (7.7 %). A substantial area (11.7%) was found to be eroded in to the river Brahmaputra and as a result core area of the park is found to be decreased when compared with previous assessments.Keywords
Kaziranga, Land cover, Mapping, GIS.
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