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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.