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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 tillage and irrigation on growth and yield of wheat (Triticum aestivum l.) and their simulation studies using Ceres-Wheat Model
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2013-08) Mishra, Gaurav; Kushwaha, H.S.
    Field experiments were conducted in sandy loam soil at Norman E. Borlaug Crop Research Centre of G. B. Pant University of Agriculture and Technology, Pantnagar (Latitude 290 N, Longitude 79030ยด E and Altitude 243.84 m above msl) during rabi seasons of 2011-12 and 2012-13 to study effect of tillage and irrigation on growth and yield of wheat cv. UP-2565 and its simulation studies using CERES-wheat model. The experiment was laid out in 2 factorial RBD design with first factor i.e. three tillage practices viz. zero tillage (ZT), conventional tillage (CT) and deep tillage (DT) and second factor i.e. five irrigation treatments viz. irrigations at crown root initiation (CRI) stage , I1; CRI + late jointing (LJ) stage, I2; CRI + LJ + milking (M) stage, I3; CRI + late tillering (LT) + flowering (F) stage + M, I4 and CRI + LT + LJ + F + M, I5 of the wheat crop with three replications. The observations were recorded on soil properties viz. infiltration rate, B.D, hydraulic conductivity, pH, EC, O.C, Available N, P and K, growth and development parameters viz. Plant height, LAI, root length density, no. of tillers, days to anthesis and days to physiological maturity, wheat (grain & biological) yield and yield attributes viz. spike length, no. of spike, grains per spike and 1000-grain weight under various tillage practices and irrigation schedules and simulation of some of these was also done using CERES-wheat model. Results indicated that tillage and irrigation significantly affect the infiltration rate, B. D., hydraulic conductivity, O.C. and available N in soil, while soil pH, EC, available P and K did not differ significantly with these treatments. Highest plant height 115.5 and 115.6 cm was recorded with DT and I5 in 2012-13, LAI 3.39 and 3.68 with DT and I4 in 2011-12, root length density 1.41 and 1.49 in DT and I5 in 2011-12 at 0-15 cm. Maximum no. of tillers and days to anthesis of wheat were recorded with CT and I5 while days to physiological maturity with DT and I5 during both crop seasons. Maximum spike length obtained in CT (7.85 and 7.79) and I4 (7.97 and 7.90), number of grain spike-1 in CT (34.2 and 29.0) and I5 (35.2 and 30.0) and 1000-grain weight in CT (38.0 and 40.0 gm) and I4 (39.4 and 40.6 gm) during both the crop seasons. The highest grain yields of 3438.3 and 3933.3 kg ha-1 respectively were recorded with CT in 2011-12 and 2012-13, while I5 (3602.7 kg ha-1) in 2011-12 and I4 (4173.6 kg ha-1) in 2012-13. Biological yield was maximum under DT (11700.0 kg ha-1) and I4 (11972.2 kg ha-1) during 2012-13. Significantly higher harvest index was obtained under DT (44.5%) and I1 (42.9%) in 2011-12. The analyzed data of experiments have shown that maximum observed LAI (3.80) was obtained during 2011-12 against simulated (3.24) in CTI4. Number of tillers m-2, days taken to anthesis and days to physiological maturity were underestimated during both the wheat crop seasons. Model simulated the grain and biological yield and higher efficiency (R2=0.72 for grain yield and R2=0.92 for biological yield) was obtained in 2011-12 in comparison to 2012-13. The harvest index of wheat was overestimated under some treatments during both the crop season. It is concluded from this study that in sandy loam soil the use of CT along with four irrigations (CRI + LT + F + M) gave maximum wheat yield. The CERES model simulated growth and yield of wheat with reliable precision during both years. In simulating most of wheat crop characters the model was observed to be more efficient in 2011-12 than 2012-13. The CERES wheat model has tremendous potential in predicting the yield of wheat crop under diverse agro climatic conditions especially in the locations where capital is the main constraint in conducting the field experiments and providing of the necessary lab facilities and lack of water for irrigation.