scholarly journals Observation of Taxonomic Features of A Terrestrial Algae Oedocladium Terrestre Biswas (Chlorophyceae) With Soil Analysis From West Bengal, India

2018 ◽  
Vol 29 ◽  
pp. 1-8
Author(s):  
Nilu Halder
Keyword(s):  
West Bengal ◽  
Soil Analysis ◽  
Ecological Adaptation ◽  
Terrestrial Habitat ◽  
Mineral Contents ◽  
Algal Taxon ◽  
Terrestrial Algae ◽  
Algal Distribution

In the present paper, a brief description along with valuable information of Oedocladium terrestre Biswas, a member of Oedogoniales of Chlorophyta, has been provided. This species was collected from a velvety green patches on damp soil at Jirat of Hooghly district, West Bengal, India. The bending of mature oogonium downwardly was an interesting feature that might be due to easy entry for gametes within this female structure. This character is appeared to be an ecological adaptation for terrestrial habitat. In addition to that, presence of narrower rhizoids in the thallus that helps penetrating, anchoring and absorbing water and mineral contents from soil also supported the terrestrial adaptation of this taxon. This is a rare algal taxon. The soil analysis of the algal distribution site showed the following features as: sand (36.1%), silt (28.1%), clay (35.8%), pH (7.1), EC (0.154 dSm-1), OC (6.7 mgkg-1), Ca2+ (4.8 cmol+kg-1), Na+ (0.72 cmol+kg-1), K+ (0.16 cmol+kg-1), WHC (47%) and total S (98.2 mgkg-1).J. Nat. Hist. Mus. Vol. 29, 2015,, Page: 1-8

scholarly journals Study on soil analysis in ponds in the Sabang block areas, West Bengal, India

2019 ◽  
Vol 6 (5) ◽  
pp. 53-63
Author(s):  
Uttam Kumar Maji ◽  
Ranajit Kumar Khalua ◽  
Kartik Maiti
Keyword(s):  
West Bengal ◽  
Soil Analysis

scholarly journals Properties of rhizosphere soil associated with herbaceous plant roots analyzed using small-scale protocols

2019 ◽  
Author(s):  
Shinichi Yamazaki ◽  
Kumiko Ochiai ◽  
Junko Motokawa ◽  
Shoichiro Hamamoto ◽  
Akifumi Sugiyama ◽  
...  
Keyword(s):  
Rhizosphere Soil ◽  
Soil Analysis ◽  
Plant Nutrients ◽  
Plant Roots ◽  
Ammonium Ion ◽  
Small Scale ◽  
Herbaceous Plant ◽  
Mineral Contents ◽  
Nutrient Contents ◽  
Surface Areas

AbstractThe rhizosphere, which is the region of soil adjacent to plant roots, is affected by the activities of both plant roots and associated microorganisms which cause changes in soil properties including nutrient mineral composition. Accordingly, the actual availability of plant nutrients may not be the same as that estimated on the basis of bulk soil analysis. However, the extent and manner in which the availability of plant nutrients in bulk and rhizosphere soils differ remain unclear. Therefore, the present study defined the rhizosphere as the soil adhered to plant roots, established a set of small-scale protocols for analyzing the nutrient minerals of small soil samples, and then characterized the rhizosphere soil of sorghum, Sorghum bicolor (L.) Moench. The mineral contents of the bulk and rhizosphere soil differed significantly, with nutrient contents generally greater in the rhizosphere, and particularly remarkable accumulation was observed in regards to ammonium ion and exchangeable potassium concentrations. Such accumulation might be due, in part, to the greater per weight surface areas of rhizosphere soil particles, but other mechanisms, including the accumulation of organic matter, could also be involved.

scholarly journals Note on taxonomy of Chlorogloeopsis fritschii (Mitra) Mitra et Pandey with soil analysis, collected from a rice field in West Bengal, India

Our Nature ◽  
2017 ◽  
Vol 14 (1) ◽  
pp. 92-98
Author(s):  
Nilu Halder
Keyword(s):  
Rice Field ◽  
West Bengal ◽  
Soil Analysis ◽  
Algal Species ◽  
Nutrient Content ◽  
Blue Green Algae ◽  
Creative Commons ◽  
Rice Field Soil ◽  
Green Algal ◽  
Chlorogloeopsis Fritschii

While studying on paddy field blue green algae, author for the first time recorded a blue green algal species Chlorogloeopsis fritschii (Mitra) Mitra et Pandey from rice field soil in summer during 2013 in Hooghly, West Bengal, India. In the present paper, taxonomical description with microphotographs of the species has been provided. In addition to that, soil which was collected from the algal occurrence site has been analyzed. The different physico-chemical parameters of soil were as followed: pH: 7.1; EC: 0.142 dSm-1; OC: 6.6 mgkg-1; Ca2+: 4.6 cmol+kg-1; Na+: 0.71 cmol+kg-1; K+: 0.15 cmol+kg-1; CEC: 12.6 cmol+kg-1; WHC: 45%. Soil textures were as: sand: 36.2%, slit: 28.1% and clay: 35.7%. This study of soil showed its nature and present nutrient content. As the alga contains heterocyst and can fix atmospheric nitrogen to soil so, it can apply in rice fields as biofertilizer to enhance the yield of rice and increase of soil fertility. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. 

An investigation on in vitro propagation of Colchicum luteum and its evaluation of colchicine for the economic benefit of rural people in West Bengal

Planta Medica ◽  
2007 ◽  
Vol 73 (09) ◽  
Author(s):  
M Gangopadhyay ◽  
R Bhattacharya ◽  
D Chakraborty ◽  
S Bhattacharya ◽  
A Mitra ◽  
...  
Keyword(s):  
Economic Benefit ◽  
In Vitro Propagation ◽  
West Bengal ◽  
Rural People

Forecasting of Summer Monsoon Rainfall over Gangetic West Bengal, India Utilising Intrinsic Mode Functions, Linear and Neural Regression

2020 ◽  
Vol 12 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Pijush Basak
Keyword(s):  
Neural Network ◽  
West Bengal ◽  
Monsoon Rainfall ◽  
Linear Part ◽  
Intrinsic Mode Functions ◽  
Quasi Biennial Oscillation ◽  
Nonlinear Part ◽  
South West ◽  
South West Monsoon ◽  
West Monsoon

The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.

Congress Defeat in West Bengal

1949 ◽  
Vol 18 (15) ◽  
pp. 178-179
Author(s):  
Richard L. Park
Keyword(s):  
West Bengal

Inequality and Radical Land Reform: Some Notes from West Bengal

Asian Survey ◽  
1979 ◽  
Vol 19 (7) ◽  
pp. 718-727 ◽  
Author(s):  
Jnanabrata Bhattacharyya
Keyword(s):  
Land Reform ◽  
West Bengal
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