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Institution

G. B. Pant University of Agriculture and Technology

EducationHaldwani, India
About: G. B. Pant University of Agriculture and Technology is a education organization based out in Haldwani, India. It is known for research contribution in the topics: Population & Agriculture. The organization has 3154 authors who have published 3244 publications receiving 43741 citations. The organization is also known as: Govind Ballabh Pant Krishi Evam Praudyogik Vishwavidyalaya & Pantnagar University.


Papers
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Journal ArticleDOI
TL;DR: Inoculation of finger millet plants with one of six different vesicular, arbuscular, mycorrhizal (VAM) fungi increased plant biomass, height, leaf area and absolute growth rate; however, effectiveness of the various VAM fungi varied significantly.
Abstract: Inoculation of finger millet (Eleusine coracana Gaertn.) plants with one of six different vesicular, arbuscular, mycorrhizal (VAM) fungi increased plant biomass, height, leaf area and absolute growth rate; however, effectiveness of the various VAM fungi varied significantly. Maximum root colonization and mycorrhizal efficacy was observed with plants inoculated with Glomus caledonicum. Among five host genotypes tested for mycorrhizal dependency against G. caledonicum, genotype HR-374 gave the highest plant biomass, mycorrhizal efficacy and root colonization, the inoculation resulting in increased mineral (phosphate, nitrogen, Zn2+ and Cu2+) content and uptake in shoots.

16 citations

Journal ArticleDOI
TL;DR: Ether-soluble extracts from malformed panicles showed 2 malformin-like substances when assayed by mung bean growth test and appeared healthy 15 days after treatment and produced the same number of fruits as healthy panicles.

16 citations

Journal ArticleDOI
TL;DR: Second degree polynomial, non linear regression analysis resulted in a good agreement of defined model by changing the values of temperature and corresponding pressure, and Page’s model was selected as the best predictive model.
Abstract: Drying characteristics, selection of analytical model and development of artificial neural network (ANN) models of 1 cm3 paneer at low pressure superheated steam drying (LPSSD) were studied. Effects of steam temperature and pressure on drying rates were determined. Page’s model was selected as the best predictive model. Second degree polynomial, non linear regression analysis resulted in a good agreement of defined model by changing the values of temperature and corresponding pressure. Optimized ANN models were developed for all data set. The correlation coefficient for all data set was >0.98 in all cases.

16 citations

Journal ArticleDOI
TL;DR: In this article, a solution of 3-wt% KOH with methyl alcohol was found to be optimum for producing ester with lowest viscosity, and Methyl alcohol was also more effective over ethyl alcohol for converting raw jatropha oil to corresponding esters.
Abstract: Raw jatropha oil was transesterified in the presence of different alkaline catalyst solutions. A solution of 3-wt% KOH with methyl alcohol was found to be optimum for producing ester with lowest viscosity. Methyl alcohol was also found to be more effective over ethyl alcohol for converting raw oil to corresponding esters. After separation of the glycerol layer from ester under room temperature, three consecutive washings were carried out using single distilled water in the ratio of 5 to remove catalyst from the produced ester. Nearly 75% catalyst removal from ester was recorded within 30 min of contact period. Among the chemical characteristics of the waste water, its pH, chemical oxygen demand, and concentrations of oil and grease, and phenol were measured. Waste water was found to be alkaline in nature, and its chemical oxygen demand ranged from 684 to 792 mg/l. The phenol concentration varied between 103 and 163 mg/l, while oil and grease concentration ranged from 1433 to 1640 mg/l, representing a significant pollutant load in biodiesel waste water.

16 citations

Journal ArticleDOI
TL;DR: In this article, a novel approach to quantum phenomena of the generalized electromagnetic fields of dyons with quaternionic analysis was described, and a quantized form of four current densities and the quantized Lorentz gauge conditions for electric and magnetic potentials, respectively, were obtained.
Abstract: In this study, we describe a novel approach to quantum phenomena of the generalized electromagnetic fields of dyons with quaternionic analysis. Starting with quaternionic quantum wave equations, we have established a quantized condition for time coordinate that transforms microscopic to macroscopic fields. In view of the classical electromagnetic field equations, we propose a new set of quantized Proca–Maxwell’s equations for dyons. Furthermore, a quantized form of four-current densities and the quantized Lorentz gauge conditions for electric and magnetic potentials, respectively, of dyons are obtained. We have established the new quantized continuity equations for electric and magnetic densities of dyons, which are associated with a torque density result from the two spin states. The quantized Klein–Gordon-like field equations and the unified quaternionic electromagnetic potential wave equations for massive dyons are demonstrated. Moreover, we investigate the quaternionic quantized relativistic Dirac fie...

16 citations


Authors

Showing all 3193 results

NameH-indexPapersCitations
Ashok Kumar1515654164086
Anil Kumar99212464825
Arvind Kumar8587633484
Pramod K. Srivastava7939027330
Neeraj Kumar7658718575
Ashish Sharma7590920460
Satish K. Garg6348417359
Deepak Pant6220011765
Prashant Singh5636527306
Rajiv Kumar5156115404
Tulasi Satyanarayana481787147
Vijay K. Singh454677792
Rajendra K. Srivastava4412714984
Rakesh Singh433557099
Indu Shekhar Thakur401884755
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202251
2021366
2020250
2019191
2018214