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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: In this paper, the effect of bio-fibres and bioparticles on fracture toughness has been investigated in a servo hydraulic universal testing machine and the results show that the fracture toughness of hybrid bio-composites reinforced with 20 wt% bagasse or 10µwt% coconut fiber are 1.108 MPa √m and 1.094µMPa√m, respectively, about 8% and 7% higher than neat epoxy.
Abstract: The effect of bio-fibres and bio-particles on the fracture toughness has been investigated. Epoxy resin is used as matrix material and different bio-fibers such as banana fiber, bagasse fiber, coconut fiber and particles such as silica and walnut shell particle with different wt% are added as reinforcing material. The mode I fracture toughness tests are conducted in a servo hydraulic universal testing machine. The results show that the fracture toughness of bio-composites reinforced with 20 wt% bagasse or 10 wt% coconut fiber are 1.108 MPa √m and 1.094 MPa √m, respectively which are about 8% and 7% higher than neat epoxy. Addition of 2 wt% of silica with 20 wt% of bagasse shows 60% increment of fracture toughness with respect to bagasse and 72% increment with respect to neat epoxy. Hybridisation of bagasse with banana fibers shows 54% decrease in fracture toughness as compared to bagasse and 13% increase as compared to banana. The overall fracture toughness of hybrid bio-composite of 10 wt% coconut fiber ...

22 citations

Journal ArticleDOI
TL;DR: In this paper, the authors conducted a field experiment with an experimental design of split-plot in the Tarai region of the Western Himalayas, India, in two irrigation regimes i.e., of continuous flooding and of aerobic condition, using four high-yielding rice genotypes: DRRH-2, PA6444, KRH-2 and Jaya.

22 citations

Journal ArticleDOI
TL;DR: In this paper, the chemical composition of seven rice cultivars from a plant breeding experiment were analyzed for their chemical composition and nylon bag organic matter (NBOMD) and cell wall degradability (NDFD) with and without 3 or 4% level of urea treatment.

22 citations

Journal ArticleDOI
TL;DR: In this paper, the results of long-term trends and their magnitudes obtained from the ITA method were compared with traditional Mann-Kendall (M-K), modified M-K, and linear regression analysis (LRA) methods.
Abstract: Spatio-temporal trends of rainfall during the last 119 years (1901 to 2019) in different meteorological sub-divisions of India were analyzed using gridded rainfall data. Innovative trend analysis (ITA) was performed for detecting the trends in seasonal and annual rainfall. The results of long-term trends and their magnitudes obtained from the ITA method were compared with traditional Mann-Kendall (M-K), modified Mann-Kendall (mM-K), and linear regression analysis (LRA) methods. Significant trends in seasonal and annual rainfall were detected in almost all the sub-divisions of India. The monsoon and annual rainfall showed increasing trends in most sub-divisions of the peninsular and northwest India, whereas decreasing trends were observed in the central northeast part of the country. Winter rainfall showed decreasing trends in most of the sub-divisions of the country. Results of M-K/mM-K and LRA concurred with the trends detected by ITA. However, the ITA is more sensitive in detecting hidden trends missed out by the traditional M-K/mM-K and LRA tests. This study will provide scientific reference for assessment and proactive mitigation of climate change impacts on water resources to manage the risk of climate variability.

22 citations

Journal ArticleDOI
TL;DR: The fluidized bed drying process of green peas was optimized using the response surface methodology for the process variables: drying air temperature (60-100°C), tempering time (0-60 min), pretreatment, and mass per unit area (63-95 g/cm2) as discussed by the authors.
Abstract: The fluidized bed drying process of green peas was optimized using the response surface methodology for the process variables: drying air temperature (60–100°C), tempering time (0–60 min), pretreatment, and mass per unit area (63–95 g/cm2) The green peas were pretreated by pricking, hot water blanching, or chemical blanching Product quality parameters such as rehydration ratio, color, texture, and appearance were determined and analyzed Second-order polynomial equations, containing all the process variables, were used to model the measured process and product qualities Rehydration ratio was influenced mostly by pretreatment followed by tempering time, temperature, and mass per unit area Pretreatment and mass per unit area significantly affected color and texture Higher levels of temperature and lower levels of tempering time and mass per unit area increased the rehydration ratio The optimum process conditions were derived by using the contour plots on the rehydration ratio and sensory scores gene

21 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