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Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola

Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola was established on 20th October, 1969 with its head-quarter at Akola. This Agricultural University was named after the illustrious son of Vidarbha Dr. Panjabrao (alias Bhausaheb) Deshmukh, who was the Minister for Agriculture,Govt. of India. The jurisdiction of this university is spread over the eleven districts of Vidarbha. According to the University Act 1983 (of the Government of Maharashtra), the University is entrusted with the responsibility of agricultural education, research and extension education alongwith breeder and foundation seed programme. The University has its main campus at Akola. The instructional programmes at main campus are spread over in 5 Colleges namely, College of Agriculture, College of Agricultural Engineering & Technology, College of Forestry, College of Horticulture and Post Graduate Institute. At this campus 4 degree programmes namely B.Sc.(Agri.) B.Sc. (Hort.), B.Sc. (Forestry) and B.Tech. (Ag. Engg.) , two Master’s Degree Programmes viz. M.Sc.(Agri.) and M.Tech. (Agri.Engg.) and Doctoral Degree Programmes in the faculties of Agriculture and Agril. Engineering are offered. The University has its sub-campus at Nagpur with constituent College, College of Agriculture which offers B.Sc.(Agri.) and M.Sc.(Agri.) degree programmes. The Nagpur Campus is accomplished with a garden, surrounded by its natural beauty and a well established Zoo which attract the general public and visitors to the city. A separate botanic Garden is being maintained on 22 hectares with a green house for the benefit of research workers. In addition there are 2 affiliated grant-in-aid colleges and 14 private non-grant-in-aid colleges under the umbrella of this University A Central Research Station is situated at the main Campus which caters to the need of research projects undertaken by Crop Scientists of the principle crops of the region are Cotton, Sorghum, Oilseeds and Pulses.

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Author: KALE, MAHENDRA UTTAMRAO × End date: 2023 × Type: Thesis ×
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    ThesisItemOpen Access
    INTEGRATED STORAGE-BASED OPTIMIZED PLANNING FOR MAJOR IRRIGATION PROJECTS
    (Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2014-04-22) KALE, MAHENDRA UTTAMRAO; Nagdeve, Dr. M. B.
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    ThesisItemOpen Access
    INTEGRATED STORAGE-BASED OPTIMIZED PLANNING FOR MAJOR IRRIGATION PROJECTS.
    (Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2014-08-22) KALE, MAHENDRA UTTAMRAO; NAGDEVE, M. B.
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    ThesisItemOpen Access
    INTEGRATED STORAGE-BASED OPTIMIZED PLANNING FOR MAJOR IRRIGATION PROJECTS
    (Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra., 2014-08-22) KALE, MAHENDRA UTTAMRAO; Nagdeve, Dr. M. B.
    The question of improving the present level of water use efficiency in general and for irrigation in particular assumes a great significance in perspective water resource planning. Integrated optimization of water resources in catchment and command may meet this objective of irrigation. Therefore, the present investigation entitled ‘Integrated storage based optimized planning for major irrigation projects’ was carried out for Hanuman sagar reservoir project taking into account the hydrological response of catchment and hydrology of command to increase the crop per drop of water. The study aimed to develop integrated storage-based optimized irrigation plan. To achieve the objective inflow to the reservoir was predicted using ANN; hydraulic simulation of canal flow was carried out using MIKE 11; water balance study of command was carried out by MIKE SHE and yield of crops of the command was estimated using modified ‘FAO crop water productivity model’. Based on water use efficiency developed integrated storage-based optimized irrigation plan was recommended. MLP ANN model with four input parameters i.e. current day precipitation (Pt) and one day ahead precipitation (Pt-1), current day inflow (Rt) and one day ahead inflow to the reservoir (Rt-1), eight nodes in hidden layer and trained at 100 epochs with Levenberg-Marquardt algorithm quantify the one day later inflow to reservoir excellently in terms of PI (0.7) and (0.86). MIKE 11 model was calibrated with global bed resistance (i.e. Manning’s n) and global leakage factor as 0.028 and 7.11x10-5, respectively; while local bed resistance and ground water leakage coefficients were varied between 0.02 to 0.037, and 2x10-6 to 1x10-3, respectively. MIKE SHE model was calibrated with parameters viz. saturated hydraulic conductivity (Ks) and exponent (N) in the hydraulic conductivity function, that varied between 1.08x10-7 to 1.52x10-6 ms-1 and 10.37 to 15.67, respectively, for the soils of command. Modified ‘FAO crop water productivity model’ estimated actual yield of early, timely and late sown cotton, soybean, pigeon pea, wheat, chick pea, and vegetable as 78.38, 83.65, 88.00; 61.93, 77.28, 94.09; 47.60, 58.71, 62.64; 72.72, 86.30, 59.24; 81.79, 82.37, 69.81; 17.59, 18.11 and 18.13% of the maximum yield of respective crop. Several alternative schedules with varied rate rotation was compared based on water use efficiency. WUE for different schedules varied from 1.56 to 5.27 kgm-3. Schedule S210 having 10 irrigations each of 18 days period with 4 days canal closure period and with start date as 15th October resulted in maximum WUE i.e. 5.27 kgm-3. Schedule S210 was also observed to be the best as it maintains the favourable soil moisture regime over the crop period and increases the irrigated area by about 3.7 times of the existing. Encouraging results of improved delivery schedules, therefore, show the potential for their implementation as a cost effective tool for improved performance of the major irrigation projects, within existing infrastructure.