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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
    Modelling wheat yield based on weather parameters at its phenological stages
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-08) Mariya, Merlin J.; Shukla, A.K.
    Crop yield prediction is an important aspect for a developing country like India in such a way that it helps decision makers, frame policies and strategies related to distribution, marketing and storage of agricultural products which ultimately lead to the sustainable growth and development of the country. The agricultural sector is severely affected by short term weather fluctuations and long term climate variations. Weather variability during important growth stages of a crop can result in uncontrolled crop yield variations. Wheat (Triticum aestivum) is one of the most widely grown cereal crops and an important staple food next to rice in India. The present study attempted to develop wheat yield prediction models for Udham Singh Nagar district of Uttarakhand state based on weather parameters during different growth stages of wheat. Maximum temperature, Minimum temperature, Relative Humidity A.M, Relative Humidity P.M, Total rainfall, Sunshine hours, Wind velocity and Evapotranspiration were the weather parameters considered for the study. Statistical and soft computing techniques namely Multiple Linear Regression, Artificial Neural Network and Ridge Regression were employed in the study using R software and SPSS software package. Correlations between rabi wheat yield and weather parameters during different growth stages of wheat were also analysed. The following conclusions were drawn from the study: •Correlation between rabi wheat yield and maximum temperature during the Dough stage was found to be positive but there was a negative correlation in the case of minimum temperature during the Dough stage. •Rabi wheat yield was found to be negatively correlated with minimum temperature during the milking stage whereas, rabi wheat yield was found to be positively correlated with morning relative humidity during the tillering stage and evening relative humidity during the Crown Root Initiation stage. •MLR-W (MLR model developed by using weather parameters at different growth stages of wheat used directly as predictors) model could perform better than the other two models developed using MLR method •ANN-WI (ANN model developed by using weather indices as predictors) model could perform better than the other two models developed using ANN. •RR-D (Ridge Regression model developed by using deviations of weather parameters from optimum value during important growth stages of wheat as predictors) model could perform better than the other two models developed using Ridge Regression •Evaluation based on statistical indices and error percentage during validation revealed that, ANN-WI (ANN model developed using unweighted and weighted weather indices as predictors, R2 = 0.96) out performed MLR-W model and RR-D model. •Crop yield prediction models based on weather parameters during important growth stages of the crop could provide reliable results.