Study of Some Predominant Arsenic Resistance Bacteria from Soil Samples of Industrial Zones of West Bengal, India

2017 ◽  
pp. 195-208
Author(s):  
P. Dutta ◽  
I. Mallick ◽  
A. Ghosh ◽  
M. Basu
Keyword(s):  
West Bengal ◽  
Soil Samples ◽  
Arsenic Resistance ◽  
Industrial Zones

scholarly journals Soil Nutritional Status of Tea Plantations in Plains of Sub Himalayan West Bengal, India

2020 ◽  
Vol 8 (3) ◽  
pp. 239-246
Author(s):  
Mainak Mukherjee ◽  
Sourav Chakraborty ◽  
Sahadeb Sarkar ◽  
Sumedha Saha ◽  
Soumya Majumder ◽  
...  
Keyword(s):  
Organic Carbon ◽  
West Bengal ◽  
Soil Nutrient ◽  
Nutrient Status ◽  
Crop Productivity ◽  
Soil Samples ◽  
Garden Soil ◽  
High Potassium ◽  
Tea Plantations ◽  
Almost All

Tea is the most consumed beverages after water. In Terai and Dooars region of sub Himalayan West Bengal, India, tea plantations are around 150 years. Exploitation of tea garden soil over centuries has led to decline in soil fertility and crop productivity after all initiatives of external inputs. As nutrients play a crucial role in quality and quantity of manufactured tea, the present initiative has been designed to quantify the soil nutrient status of tea growing Terai and Dooars region. 79.62% (Terai) and 84.72% (Dooars) of the soil samples were found to have normal pH. 47.21% (Terai) and 49.3% (Dooars) of soil samples was found to have normal organic carbon. 12.03% and 20.82% of soil from Terai and Dooars showed low total nitrogen. Both the organic carbon and nitrogen in soil are positively correlated. Phosphorus (as P2O5) content of soil is extremely site and depth specific. Almost all samples of the study area showed high potassium (as K2O) content. Monoculture, change in rainfall pattern and inorganic additives have contributed enormous stress to soil but despite of all these odds the overall nutritional richness of these tea growing regions seems to be satisfactory.

scholarly journals Boron availability in relation to some important soil chemical properties in acid soils of Cooch Behar district, West Bengal

2017 ◽  
Vol 9 (4) ◽  
pp. 2400-2403
Author(s):  
Dipa Kundu ◽  
Rubina Khanam ◽  
Sushanta Saha ◽  
Umalaxmi Thingujam ◽  
G. C. Hazra
Keyword(s):  
Organic Carbon ◽  
Global Positioning System ◽  
Crop Production ◽  
West Bengal ◽  
Chemical Properties ◽  
Acid Soils ◽  
Mean Value ◽  
Soil Samples ◽  
Organic Carbon Content ◽  
Global Positioning

In the present study, we investigated the distribution of soil available boron and its relationship with some soil properties in the samples collected from different locations in acidic alluvial soils of Cooch Behar district in West Bengal during 2013-2014. For the study about two hundred fifty (250) georeferenced surface soil samples covering 11 blocks of the districts were collected with the help of a global positioning system (GPS). The soil results revealed that pH of the analyzed samples varied from 4.91-7.28 (mean value 5.68) which indicated that soils of the district were in the acidic to slightly acidic in reaction. Organic carbon content of the soils varied from 0.42 to 1.62 % with a mean value of 0.96 % and about 93.7 % of the samples were high whereas about 5.2 and 1.2 % of the samples analyzed were in medium and low category, respectively. Results also indicated that the available B content in the soils of the districts ranged from 0.04 to 3.87 mg kg-1 with a mean value of 0.51 mg kg-1 and about 38.26 % soil samples were classified under low, whereas, 3.58 and 0.35 % samples were categorized as medium and high in available B content. It was further indicated that the content of available B in soil was positively correlated with organic carbon (r = 0.170**) and negatively correlated with pH (r = -0.021). Organic carbon status was also found to be positively and non significantly correlated with soil pH (r = 0.062). The results of the study would be immensely helpful for the extension workers to recommended B application considering pH and organic carbon status in acidic soils of the district for a profitable crop production.

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.

K-MEANS CLUSTERING ALGORITHM BASED CLASSIFICATION OF SOIL FERTILITY IN NORTH WEST NIGERIA

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali
Keyword(s):  
Soil Fertility ◽  
Crop Yield ◽  
Clustering Algorithm ◽  
Soil Samples ◽  
North West ◽  
R Programming ◽  
Available Information ◽  
Northwest Region ◽  
The Relationship

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.

Congress Defeat in West Bengal

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