Showing papers by "Jayanta Kumar Datta published in 2017"

Ecophysiological evaluation of tree species for biomonitoring of air quality and identification of air pollution-tolerant species.

Abstract: Identification of tree species that can biologically monitor air pollution and can endure air pollution is very much important for a sustainable green belt development around any polluted place. To ascertain the species, ten tree species were selected on the basis of some previous study from the campus of the University of Burdwan and were studied in the pre-monsoon and post-monsoon seasons. The study has been designed to investigate biochemical and physiological activities of selected tree species as the campus is presently exposed to primary air pollutants and their impacts on plant community were observed through the changes in several physical and biochemical constituents of plant leaves. As the plant species continuously exchange different gaseous pollutants in and out of the foliar system and are very sensitive to gaseous pollutants, they serve as bioindicators. Due to air pollution, foliar surface undergoes different structural and functional changes. In the selected plant species, it was observed that the concentration of primary air pollutants, proline content, pH, relative water holding capacity, photosynthetic rate, and respiration rate were higher in the pre-monsoon than the post-monsoon season, whereas the total chlorophyll, ascorbic acid, sugar, and conductivity were higher in the post-monsoon season. From the entire study, it was observed that the concentration of sulfur oxide (SO x ), nitrogen oxide (NO x ), and suspended particulate matter (SPM) all are reduced in the post-monsoon season than the pre-monsoon season. In the pre-monsoon season, SO x , NO x , and SPM do not have any significant correlation with biochemical as well as physiological parameters. SPM shows a negative relationship with chlorophyll ‘a’ (r = −0.288), chlorophyll ‘b’ (r = −0.267), and total chlorophyll (r = −0.238). Similarly, chlorophyll a, chlorophyll b, and the total chlorophyll show negative relations with SO x and NO x (p < 0.005) during the post-monsoon season. Proline shows a positive relationship with SO x in the pre-monsoon season whereas in the post-monsoon season proline content shows a positive relationship with both SO x and NO x . The present study facilitates to screen eight sensitive and two moderately tolerant tree species according to their air pollution tolerance index (APTI) values.

Statistical optimization study of adsorption parameters for the removal of glyphosate on forest soil using the response surface methodology

Abstract: The present study highlights the use of forest soil for glyphosate removal from aqueous solutions under different experimental conditions through batch mode and optimizing the process conditions. Maximum glyphosate adsorption (161.29 mg/g) occurred at pH 12. Experimental data of glyphosate biosorption onto forest soil fitted well to Langmuir isotherm model in comparison with the Freundlich and D–R model. Kinetic studies were carried out to get useful information on the rate of glyphosate adsorption onto the forest soil, which was found to follow pseudo-second-order model. Four important process parameters including glyphosate concentration (5–30 mg/L), pH (2–14), contact time (5–120 min) and dose (0.05–1.5) were optimized to obtain the best response of glyphosate removal using the statistical Box–Behnken design. Optimized values of initial glyphosate concentration, pH, contact time and dose were found as 25.74 mg/L, 12.0, 119.99 min and 0.05 g, respectively, with the 87.8% removal efficiency. The efficiency of the operating variables was also assessed by the percent contribution and Pareto analysis. Thermodynamics data suggest that glyphosate adsorption is spontaneous in nature. The results revealed that forest soil can be used as an effective and low-cost adsorbent to remove glyphosate from aqueous solutions.

Evaluation of indigenous rhizobacterial strains with reduced dose of chemical fertilizer towards growth and yield of mustard (Brassica campestris) under old alluvial soil zone of West Bengal, India

Abstract: A field experiment had been carried out in the Crop Research and Seed Multiplication Farm of The University of Burdwan, West Bengal, India during the two consecutive winter seasons of 2011-2012 and 2012-2013 to study the effect of indigenous rhizospheric bacterial strains on growth, physiology and yield of mustard variety. Pseudomonas putida, Burkholderia cepacia, Burkholderia sp. and their mixture were used as seed inoculants for mustard cultivation. The experiment was laid down in a randomized complete block design (RCBD) with three replications. Results revealed that indigenous inoculation (with reduced dose of chemical fertilizer) significantly increased (p

Evaluation of Growth, Physiology and Yield of Mung Bean ( Vigna radiata ) by Inoculating Isolated Nitrogen Fixing Bacteria from Pharmaceutical Wastewater

Abstract: Pharmaceutical effluents are hazardous to the environment producing enormous toxicity. But this effect can be utilized for the betterment of growth in the agricultural fields. Non-symbiotic nitrogen fixing bacteria were isolated from this effluent and used for the growth of wheat. A field work was conducted for this. This species of bacteria was used for the growth of mung bean with its two treatments along with control. A drastic change was observed after 60 DAS (Days After Sowing). There was an increase in the agricultural production, improvement in the soil properties, and increase in soil fertility. The other growth criterions like root and shoot length, root and shoot fresh and dry weight, chlorophyll content and other yield parameters were also measured, which were found to be increased by this bacterial inoculation effect. This study shows how we can use a toxic effluent for the better yield of agricultural crops and obviously it might prove to be a boon to our environment and farmers.

TSLA: Turing based service level agreement assessment model over diverse cloud deployments

Abstract: Cloud services are gaining popularity with times. Service level agreement (SLA) serves a basic understanding between the clients and cloud service providers (CSP). Ensuring secured and adequate service is a basic need of the customers. In this work a set of compliance parameters for cloud service level agreement is identified. A generic rule base is designed to empower the process with an automated model. Finally a Turing model has been developed for automated monitoring and assessment of service level agreement between cloud service provider and cloud client. This generic model is suitable for different cloud deployment models and attuned with WS-agreement set.

Evaluation of Indigenous Rhizobacterial Strains With Reduced Dose of Chemical Fertilizer towards Biochemical Constituents of Mustard Leaf (Brassica Campestris)

Abstract: Judicious application of chemical fertilizers can significantly enhance the biochemical constituents of agriculturally important crop plants. Present study deals with the effect of indigenous input with reduced dose of chemical fertilizer towards biochemical contents of mustard leaf; a field experiment was conducted in a randomized complete block design (RCBD) pattern with three replications during two consecutive winter seasons of 2011-2012 and 2012-2013 under old alluvial soil zone of Burdwan, West Bengal, India. Pseudomonas putida, Burkholderia cepacia, Burkholderia sp. and their mixture were used as indigenous biofertilizer for mustard cultivation. Results revealed that indigenous inoculation (with reduced dose of chemical fertilizer) significantly increased (p<0.05) the biochemical contents (chlorophyll, carotenoids, carbohydrate and protein) of mustard leaf as compared to uninoculated control (full recommended dose of NPK fertilizers). The comprehensive approach of plant growth promoting rhizobacteria (PGPR) in agriculturally important crops should be carried out to explore the hidden potential of PGPR and to promote the quality and yield of crop under field conditions.