Institution
G. B. Pant University of Agriculture and Technology
Education•Haldwani, 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.
Topics: Population, Agriculture, Eleusine, Soil water, Rhizobacteria
Papers published on a yearly basis
Papers
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TL;DR: The storage stability and reusability of the immobilized β-glucosidase were improved significantly, with 12.09% activity retention at 30°C after being stored for 25 d and 17.85% residual activity after being repeatedly used for 4 times.
Abstract: A thermostable β-glucosidase was effectively immobilized on alginate by the method of gel entrapment. After optimization of immobilized conditions, recovered enzyme activity was 60%. Optimum pH, temperature, kinetic parameters, thermal and pH stability, reusability, and storage stability were investigated. The K m and V max for immobilized β-glucosidase were estimated to be 5.0 mM and 0.64 U/ml, respectively. When comparing, free and immobilized enzyme, change was observed in optimum pH and temperature from 5.0 to 6.0 and 60°C to 80°C, respectively. Immobilized enzyme showed an increase in pH stability over the studied pH range (3.0-10.0) and stability at temperature up to 80°C. The storage stability and reusability of the immobilized β-glucosidase were improved significantly, with 12.09% activity retention at 30°C after being stored for 25 d and 17.85% residual activity after being repeatedly used for 4 times. The effect of both free and immobilized β-glucosidase enzyme on physicochemical properties of sugarcane juice was also analyzed.
84 citations
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TL;DR: In this paper, a study for screening and selection of cold tolerant mutants of Pseudomonas fluorescens strains GRS1, PRS9 and ATCC13525 based on solubilization ability and subsequent effect on plant growth promotion under in vitro and in situ conditions was conducted.
84 citations
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TL;DR: Comparisons show that the ANN-GWO-1 model with five input variables provides better estimates at both study stations, and can build a truthful expert intelligent system for estimating the monthly ETo at study stations.
Abstract: In this research, five hybrid novel machine learning approaches, artificial neural network (ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer (ANN-MVO), particle swarm optimizer (A...
84 citations
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TL;DR: Three bacterial strains namely; BC, AX and AB isolated from a Zn-deficient rice-wheat field belonging to the genera Burkholderia and Acinetobacter were investigated for the growth promotion and Zn uptake in rice plants.
Abstract: A comparison study between the isolated indigenous bacteria and chemical Zn fertilizer (ZnSO 4 .7H 2 O) was conducted to evaluate their potential to augment Zn nutrition of Zn responsive (NDR 359) and Zn non responsive (PD 16) varieties of rice under the green house. Three bacterial strains namely; BC, AX and AB isolated from a Zn-deficient rice-wheat field belonging to the genera Burkholderia and Acinetobacter were investigated for the growth promotion and Zn uptake in rice plants. The plant growth promotory properties such as Zn solubilization and IAA production of the isolates was checked in a previous study. These three isolates when used individually or in combination were found effective in significantly increasing the mean dry matter yield/pot (12.9%), productive tillers/plant (15.1%), number of panicles/plant (13.3%), number of grains/panicle (12.8%), grain yield (17.0%) and straw yield (12.4%) over the control and Zn fertilizer treatment, respectively. Bacterial inoculations also significantly enhanced the total Zn uptake/pot (52.5%) as well as grain methionine concentration (38.8%). Effect of bacterial treatments on the bioavailability of Zn was assessed by estimating the levels of phytic acid in grains. A reduction of nearly 38.4% in phytate: Zn ratio in grains was observed under bacterial inoculations.
83 citations
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TL;DR: The results showed that the proposed MM-ANN-1 and MGGP-1 models were more successful than the other techniques during testing period to simulate the monthly pan evaporation at both Ranichauri and Pantnagar stations, and will help to the local stakeholders in terms of water resources management.
Abstract: The potential of several predictive models including multiple model-artificial neural network (MM-ANN), multivariate adaptive regression spline (MARS), support vector machine (SVM), multi-gene gene ...
83 citations
Authors
Showing all 3193 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ashok Kumar | 151 | 5654 | 164086 |
Anil Kumar | 99 | 2124 | 64825 |
Arvind Kumar | 85 | 876 | 33484 |
Pramod K. Srivastava | 79 | 390 | 27330 |
Neeraj Kumar | 76 | 587 | 18575 |
Ashish Sharma | 75 | 909 | 20460 |
Satish K. Garg | 63 | 484 | 17359 |
Deepak Pant | 62 | 200 | 11765 |
Prashant Singh | 56 | 365 | 27306 |
Rajiv Kumar | 51 | 561 | 15404 |
Tulasi Satyanarayana | 48 | 178 | 7147 |
Vijay K. Singh | 45 | 467 | 7792 |
Rajendra K. Srivastava | 44 | 127 | 14984 |
Rakesh Singh | 43 | 355 | 7099 |
Indu Shekhar Thakur | 40 | 188 | 4755 |