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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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  • ThesisItemOpen Access
    Effect of crop and machine parameters on threshing effectiveness and seed quality of basmati rice
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2004-07) Chauhan, Shiv Sankar; Gupta, O.P.
    Basmati rice is becoming popular all over world. Indian Basmati rice fetches three times higher price than other countries. Recently it was reported that threshing reduces the quality of Basmati rice. Experiment was conducted to study the threshing effectiveness on Basmati paddy. The experiment was conducted on an axial flow multicrop thresher with three varieties of Basmati and one coarse varieties of paddy, with four levels of cylinder speed, three level of moisture content and three level of feed rate. The threshing efficiency was found 100%. Result showed that grain damage and cleaning efficiency increased with the increase in cylinder speed. Maximum grain damage was 0.9% in Pusa Basmati-1 and Basmati-1121 respectively at cylinder speed of 18.21 m/s, moisture content 25.1 per cent and feed rate 960 kg/h. Grain damage of Taraori Basmati, Pusa Basmati-1 and Basmati-1121 is higher than Pant Dhan-12 by 7.3, 19.5 and 24.4 per cent respectively. The cleaning efficiency varied from 91.7 to 99.1% for all the varieties at all cylinder speed, feed rate and moisture content. The maximum cleaning efficiency was observed to be 99.1 percent for Basmati-1121 and minimum 91.7% in case of Pant Dhan-12. Germination percentage was above 80% in all the variety except Pusa Basmati-1. The effect of cylinder speed, moisture content and feed rate were analysed statistically on grain damage, cleaning efficiency and germination percentage. Result showed that effect of these parameters have significant effect. Overall working of thresher was found satisfactory for the selected variety and parameters under study.
  • ThesisItemOpen Access
    Hyetograph-hydrograph transformation model for small ungauged watersheds
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2004-06) Sachan, Shatendra; Akhilesh Kumar
    The well established techniques used for determination of runoff hydrograph require historical runoff data and other complex information for evaluating various parameters, which are generally not available in case of ungauged watersheds. Therefore, an attempt has been made to develop a model which is capable of transforming available rainfall hyetograph in to direct runoff hydrograph by using information about land use pattern and topographical features of the area. In the development of models, the storm runoff has been estimated by using SCS curve number method. The model formulation was attempted considering uniform and nonuniform rainfall distribution patterns. In case of uniform rainfall distribution, the model was formulated on the basis of one step rainfall input and accordingly named as One Step Rainfall Input Model (OSRIM). While in case of nonuniform rainfall distribution, the entire storm duration was divided into smaller time increments in a way that the rainfall intensity within an increment is almost constant and the model was formulated considering multiple step rainfall input and called as Multiple Step Rainfall Input Model (MSRIM). The developed models were applied for their verification using the observed data of a small hilly watershed known as “Jandoo-Nala watershed” comprising an area of 17.71 ha in Dehradun district of Uttaranchal State. In case of small ungauged watersheds, the developed methodology will be very useful in designing, planning and operation of various soil and water conservation structures, flood control works, water storage & conveyance structures and also in watershed management & planning. It was found that the value of initial abstraction ratio λ = 0.15 provided a better prediction of direct runoff volume using SCS curve number method for the study area. In case of One Step Rainfall Input Model (OSRIM), the coefficient of correlation between model predicted and observed values of the peak rate of runoff was found to be 73.0%. The values of peak rate of runoff predicted by using Multiple Step Rainfall Input Model (MSRIM) were found to be yielding a good correlation with the corresponding observed values as the coefficient of correlation was found to be 83.0%. A non-linear model of exponential form between peak runoff rate (qp, m3/s), rainfall depth (P, mm), maximum potential retention (S, mm) and curve number (CN) was developed having coefficient of determination (R2) as 96.61%. In case of OSRI model, the time to peak coincided with the time of concentration while in the NLR model because of its inherent weakness did not predict time to peak value. It was observed that there was a very good correlation (97.0%) and coefficient of efficiency (97.19%) between the observed and MSRI model predicted time to peak values. The qualitative analysis revealed that, in general, the predicted ordinates of hydrographs of the selected storm events were in reasonably close agreement with the corresponding ordinates of observed hydrographs.
  • ThesisItemOpen Access
    Studies on performance evaluation of wheat straw (Bhusa) combine and ammonia (Urea) treatment of retrieve straw for livestock feeding
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2004-08) Verma, Shishir Kumar; Thakur, T.C.
    Cereal straw, forming a major part of crop residue is considered as an important feed resource in India and other developing countries. Efforts are underway for enhanced utilization of straw by improving its nutritional value. A limited number of mechanized systems like field balers and straw combines are now available in India for the collection of long straw and bruised straw from combine harvested fields. Ammonia (urea) treatment of wheat straw (bhusa) may be considered as an important option for quality improvement in nutritional value of wheat straw/ bhusa as livestock feed. Three sets of problems namely, performance evaluation of straw (bhusa) combine, ammonia (urea) treatment of wheat straw (bhusa) and nutritional analysis of treated bhusa were identified in this study. A mathematical model was developed to establish the relationships between liquid inflow rate, wetting time, liquid retained, liquid runoff and moisture content of wheat straw (bhusa) for treatment using urea as a source of ammonia. The straw and grain recoveries for wheat variety PBW 2145 by straw combine (delux model „SAGGU‟) before baling were 2001kgDM/ha & 79 kg/ha, 1956 kgDM/ha & 104 kg/ha and 1778 kgDM/ha & 82.3 kg/ha for forward speeds of 1.95, 2.42 and 3.52 km/h, respectively. Straw recovery after baling was found as 1280, 1350 and 1200 kgDM/ha at forward speeds of 2.04, 2.78 and 3.60 km/h, respectively. The split straw percentage by straw combine before baling was found as 91.20, 88.00 and 86.50% for forward speeds of 1.95, 2.42 and 3.52 km/h, respectively. The straw combine produced maximum amount of bruised straw (70-75%) with fine particle size varying between 4 and 8 mm under both the conditions of „before‟ and „after baling‟ which is acceptable as a good quality animal feed. The average field capacity, field efficiency and fuel consumption of straw combine after baling were found as 0.43 ha/h, 75.48 % and 3.90 l/h for the best speed of about 2.78 km/h. The on-farm cost of operation of straw (bhusa) combine was estimated as Rs 1780 per ha (Rs 904 /t) and Rs 1723 per ha (Rs 1286 /t) for „before‟ and „after baling‟ conditions, respectively whereas the off-farm cost which also includes transportation cost of straw bhusa to a distance of 2.5 km was found to be 1915 and 1833 Rs./ha for „before‟ and „after baling‟ conditions, respectively. The break-even point analysis of the straw combine showed that total cost per hectare of straw combine in both cases (before and after baling) gradually reduced with the increase in area of coverage. The cost analysis of straw recovery also indicated that when an area of about 45 ha/year before baling and 75 ha/year after baling is covered by the straw combine then the cost of bhusa recovery per hectare approximately equals to value of wheat straw (bhusa) collected and sold at rates varying as 1000, 1500 and 2000 Rs./t. The minimum area of coverage per year by the straw combine should be more than 75 ha after baling to make recovery of bhusa profitable. The payback period of the straw combine is dependent on the annual area covered as well as the value of wheat straw (bhusa). For an a70 years for respective straw costs for „after baling‟ condition. The depth of layers up to ten layers of 150 mm each had no significant variations in moisture content of ammonia (urea) treated wheat straw (bhusa) and therefore, a column of 1.5 m height comprising of 10 layers of 150 mm each and 1m diameter for a single sprayer nozzle of 1250 g/min discharge rate could be recommended for ammonia (urea) treatment using the developed „Spraying Method‟. The evaluation of urea treated wheat straw (bhusa) of three columns in terms of in-situ nylon bag dry matter digestibility (NBDMD), crude protein (CP) content and ammonical nitrogen (AN) content indicated significant increase in these values over untreated straw (control). On an average NBDMD increased from 43.47 % (untreated) to 59.14 % (treated). The CP content of treated straw was found as 11.89 %, which were 8.33 percentage units greater than untreated straw (3.56 %). Similarly, the AN content was found as 0.838 % which was 0.793 percentage units greater than untreated straw (0.045 %).
  • ThesisItemOpen Access
    Active contour models applied to obtain the shape of tibiae and fibulae from Computed Tomography (CT) scans
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2008-07) Satsangi, Dev Prakash; Saxena, Rakesh
    The present study was undertaken to apply “active contour models to obtain the shape of tibiae and fibulae from their computed tomography (CT) scans” data. Computed Tomography (CT) is a non-invasive technique to provide images of any part of human body without superimposition of adjacent structures. Studies using computed tomography combined with image active contour have revealed the accuracy of the shapes obtained in CT. Various boundary detection algorithms for CT images have been developed in the last few decades but very few of them are completely automatic. Features such as digitization of initial boundary, closed contours, automatic continuous mode are included in this work. This approach also contains options such as expansion and shifting of initial boundary in order to obtain the final shape. Validation of the algorithm is provided by including artificially created bone slices in standard shapes. The obtained digitized data can further be used for prosthetic applications. The digitized data points of bone and soft tissue used for making 3D model surface. This surface model can be further used to create 3D Finite Element Model which can be used in stress analysis towards design of prosthesis in medical field.
  • ThesisItemOpen Access
    An energy efficient mechanism for data collection in wireless sensor network
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2013-07) Tayal, Pranavi; Mandoria, H.L.
    A sensor network is composed of vast number of tiny sensor in a limited area. Each sensor is defined with some energy parameters and the energy based constraints. According to these constraints, as the communication is performed, each participating node loses some amount of energy. Multicast and Broadcast communication are the basic communication requirements of a sensor network. But such kind of communication increases the network traffic extensively as well as gives large amount of energy loss. Data collection provides the solution to this problem by combining the multiple communications in single communication path. Data collection is one of the major communication approach in which multiple sources are sending data to single sink. In this present work, an agent based approach is defined to generate the effective aggregative path so that the network life and communication will be improved. The presented approach is divided in two main stages and both stages are controlled by multiple agents distributed over the network. In the very first stage, the agent will perform the analysis over the network and assign the weightage to each node based under the different parameters. Once the weights are assigned to each node the next work of agent is to generate the aggregative path. This path generation is based on multiple parameters. The parameters considered in this work to generate the effective path are loss rate, response time and the communication delay. The presented research work is about to generate an effective communication path so that the effective communication will be performed. The path generation process is divided in two main stages, first phase is to identify frequency (load) of each node and second to generate path so that load balancing will be improved. Most frequent node here represents the heavy load node over the network. The next work is to calculate the path from source to destination by comparing loads of neighboring nodes and here the current node select that neighbor node which is having low load among list of neighboring nodes and then perform the communication over that node. The presented work is implemented in NS2 environment and obtained results shows that the presented work has improved the network throughput extensively and reduced the network delay and the data loss.
  • ThesisItemOpen Access
    Laboratory studies on soil scour downstream of chute and stepped spillways for varying conditions of flow energy
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2013-01) Dheeraj Kumar; Akhilesh Kumar
    The study of scour downstream of hydraulic structures such as large dams, stilling basins, diversion works, underflow gates, and culverts constitutes an important field of research due to its frequent occurrence in engineering applications. The performance of a drop structure depends largely upon its capacity to dissipate the hydraulic energy of flowing water. The amount of energy dissipation is the difference between the incoming and outgoing energies and the performance of a stepped spillway is dependent on the size of its individual step at a particular drop and discharge In this study, laboratory experiments were conducted to study energy dissipation and its effect on maximum depth of scour and the amount of soil scoured considering different soil materials using a chute spillway and stepped spillway with three selected step sizes for varying discharge conditions. In all cases the total drop was kept constant. Observations were recorded for amount of energy dissipation, outflow energy, maximum scour depth and amount of soil scoured for various combinations of step size and flow rate using different soil materials. To conduct experiments the developed models were installed in the Hydrologic Simulation and Sedimentation Laboratory which is near to Soil and Water Conservation Engineering department. The amount of energy dissipated was minimum for chute spillway while in case of stepped spillway the amount of energy dissipation was found to be the maximum for step size of 2.54 cm and then decreased gradually as the step size increased for a given discharge. The maximum scour depths were found to be increasing with the increase in outflow energy of flow. On the basis of above, the maximum weight of the scoured soil was found to be increasing with the increase in outflow energy of flow. The above findings clearly indicate that scour depth and scour weight of soil downstream of a drop structure are directly related with the energy dissipation. The use of stepped spillway result in better energy dissipation and thereby resulting in lesser scour depth and scour weight.
  • ThesisItemOpen Access
    Sediment outflow from mulch treatments at varying land slopes under simulated rainfall conditions
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2013-07) Singh, Sachin Kumar; Kashyap, P.S.
    The problem of soil erosion in India is very serious. About 18.5% of the world’s total soil erosion takes place in India, which is about16.4tons/ha/year.Organic mulches are very effective in preventing soil erosion,reduce sediment transport rate, runoff rate and increasing infiltration. The study was carried out with the objectives to observe the sediment outflow from various mulch treatments at selected land slopes under simulated rainfall conditions by using rainfall simulator of size 10 m × 1.2 m × 0.5 m with the locally available soil material collected from College of Agriculture Business Management, Pantnagar. In the present study, paddy straw, hay and trash mulches were selected to observe the effect of mulching in soil loss reduction. The quantity of these three types of mulches were taken as, 6 ton/ha, 8 ton/ha and 10 ton/ha and for each mulch treatment, three rainfall intensities viz. 11cm/h, 13cm/h and 14.65cm/h at 0%, 2% and 4% land slopes were selected. The duration of rainfall was fixed (10 minutes) for every mulch treatment. The total runoff volume was found to be varying with different mulch rates for particular rainfall input and land slope. The runoff distribution pattern was observed to be increasing with the increase in land slope. The average sediment concentration and outflow was found to be increasing with the increasein land slope,but sediment concentration and outflow decreased with increasing mulch rate for particular land slope and rainfall intensity. The sediment outflow rate for no mulch treated land was higher as compared to trash mulch, hay mulch and paddy straw mulch treated lands. Mathematical relationships were developed for relating sediment outflow rate, sediment concentration,land slope and rainfall intensity for a particular mulch treatment. It was observed that values of sediment outflow rate and average sediment concentration had a good correlation with rainfall intensity and land slope for each mulch treatment. The correlation coefficients of developed models were found to be more than 90%.
  • ThesisItemOpen Access
    Drought analysis using different indices for Pantnagar and Dehradun areas of Uttarakhand
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2013-07) Ram Kumar; Anil Kumar
    In this present study, the annual and seasonal rainfall series of Pantnagar and Dehradun areas were analyzed using India Meteorological Department (IMD) classification of drought as mild, moderate, severe and extreme drought as per percentage rainfall deviation. Based on the drought analysis using the SPI criteria, appropriate crop planning and design of rainwater harvesting and storage structures in the drought affected areas can be proposed in drought affected areas. Standardized Precipitation Index (SPI) was calculated at different time scales (1, 3, 6, 12, and 24 months). The SPI is a drought index based on the probability of an observed precipitation deficit occurring over a given prior time period. The assessment periods considered range from 1 to 36 months. The monthly data were converted into seasonal rainfall of four month period as pre-monsoon (February to May), monsoon (June to September) and post-monsoon (October to January) and multi-temporal rainfall series with running sum for 1-month, 3-month, 6-month, 12-month and 24-month durations for both the locations. The SPI, calculated for a desired period at any location, are based on the long term precipitation record (30 years or more). The positive SPI values show greater than medium precipitation, while negative SPI values indicate less than medium precipitation. The results shows that the SPI can be used for better assessment of drought as it considers larger range of moving sums of rainfall data. Since SPI uses for the running sum of rainfall values at multi-time scales (1 to 24 months) and more variables depending on the statistical distributions used, it gives better assessment of meteorological drought at multitime scales. The 3-month SPI can be used for short term drought monitoring and agricultural crop planning and 12-month SPI can be used for long term drought monitoring and water resource planning.
  • ThesisItemOpen Access
    Stochastic modelling of monthly rainfall series at Pantnagar (Uttarakhand)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2013-07) Navale, Manisha Madhav; Kashyap, P.S.
    The monthly rainfall data of 1981 to 2010 of Pantnagar were used for development of stochastic models. While the data for the year 2011 and 2012 were used for forcasting. To bring stationarity in the historical data series square root transformation was used. Fourier analysis was performed for determination of periodic component. The base period and number of significant harmonics was determined by autocorrelogram analysis and analysis of variance test respectively. Periodic component was removed by deducting from trend free series to obtain stochastic series. Stochastic series was standardised and normalised. The stochastic series was modeled by autoregressive (AR) family of Models. The Box-Pierce Portmanteau level was used to fit the test. The performance of model in regeneration and prediction of monthly rainfall value were evaluated quantitatively and qualitatively by comparison of historical and selected model correlograms and goodness of fit test such as mean forecast test, mean absolute error, root means square error. Results showed that properties propagated in the regenerated and predicted data series are similar to those of the historical series. In general, there is a good agreement between autocorrelation functions of historical and regenerated time series.