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Kerala Agricultural University, Thrissur

The history of agricultural education in Kerala can be traced back to the year 1896 when a scheme was evolved in the erstwhile Travancore State to train a few young men in scientific agriculture at the Demonstration Farm, Karamana, Thiruvananthapuram, presently, the Cropping Systems Research Centre under Kerala Agricultural University. Agriculture was introduced as an optional subject in the middle school classes in the State in 1922 when an Agricultural Middle School was started at Aluva, Ernakulam District. The popularity and usefulness of this school led to the starting of similar institutions at Kottarakkara and Konni in 1928 and 1931 respectively. Agriculture was later introduced as an optional subject for Intermediate Course in 1953. In 1955, the erstwhile Government of Travancore-Cochin started the Agricultural College and Research Institute at Vellayani, Thiruvananthapuram and the College of Veterinary and Animal Sciences at Mannuthy, Thrissur for imparting higher education in agricultural and veterinary sciences, respectively. These institutions were brought under the direct administrative control of the Department of Agriculture and the Department of Animal Husbandry, respectively. With the formation of Kerala State in 1956, these two colleges were affiliated to the University of Kerala. The post-graduate programmes leading to M.Sc. (Ag), M.V.Sc. and Ph.D. degrees were started in 1961, 1962 and 1965 respectively. On the recommendation of the Second National Education Commission (1964-66) headed by Dr. D.S. Kothari, the then Chairman of the University Grants Commission, one Agricultural University in each State was established. The State Agricultural Universities (SAUs) were established in India as an integral part of the National Agricultural Research System to give the much needed impetus to Agriculture Education and Research in the Country. As a result the Kerala Agricultural University (KAU) was established on 24th February 1971 by virtue of the Act 33 of 1971 and started functioning on 1st February 1972. The Kerala Agricultural University is the 15th in the series of the SAUs. In accordance with the provisions of KAU Act of 1971, the Agricultural College and Research Institute at Vellayani, and the College of Veterinary and Animal Sciences, Mannuthy, were brought under the Kerala Agricultural University. In addition, twenty one agricultural and animal husbandry research stations were also transferred to the KAU for taking up research and extension programmes on various crops, animals, birds, etc. During 2011, Kerala Agricultural University was trifurcated into Kerala Veterinary and Animal Sciences University (KVASU), Kerala University of Fisheries and Ocean Studies (KUFOS) and Kerala Agricultural University (KAU). Now the University has seven colleges (four Agriculture, one Agricultural Engineering, one Forestry, one Co-operation Banking & Management), six RARSs, seven KVKs, 15 Research Stations and 16 Research and Extension Units under the faculties of Agriculture, Agricultural Engineering and Forestry. In addition, one Academy on Climate Change Adaptation and one Institute of Agricultural Technology offering M.Sc. (Integrated) Climate Change Adaptation and Diploma in Agricultural Sciences respectively are also functioning in Kerala Agricultural University.

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2016 - 20183
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Subject: Soil and Water Engineering × Author: KAU × End date: 2019 × Start date: 2016 ×
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Now showing 1 - 3 of 3
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    ThesisItemOpen Access
    Water availability and climatic water balance for a selected cropped area
    (Department of Irrigation and Drainage Engineering, Kelappaji College of Agricultural Engineering and Technology, Tavanur, 2018) Venkata Sai, K; KAU; Asha Joseph
    Rainfall is the main source available for water. The knowledge of the rainfall analysis is crucial for crop planning in a region and designing of water conservation structures. The changes in rainfall, its distribution, probability and trends would influence the spatial and temporal distribution of runoff, soil moisture and groundwater reserves. Crop production in an area has a direct relation with the amount and distribution of rainfall. So correct evaluation of water availability period is an important pre-requisite for crop planning. Climatic water balance is widely used for determining the water surplus, water deficit and water availability period for agricultural planning. Hence in the present research work, the rainfall data of Pattambi was analysed to study the variability, trends and probability of rainfall. A weekly climatic water balance was also assessed to determine the surplus/deficit of rainwater. The rainfall variability analysis showed that the mean annual rainfall of Pattambi region was found 2377.96 mm with a CV of 19.29 % which indicated that the rainfall is highly stable in the region. The South-West monsoon season contributed the highest (74.09 %) amount of rainfall. June and July were the months recorded the highest percentage of rainfall of 25.39 % and 24.06 % respectively. Weekly rainfall variability showed that rainfall was stable during 21st to 45th SMWs as the CV ranges from 90 % to 110 % only. The trend analysis of annual, seasonal and monthly rainfall according to Mann-Kendall test revealed that there was a rising and falling trends. But there was no significant trend observed at 5 % level of significance except in summer season. The Sen’s slope estimator revealed that a rising trend was observed in summer season whereas falling trend was observed in annual, South-West and North-East monsoon season and no trend was observed at winter season. The rainfall probability at different levels of exceedance were found by fitting “Incomplete gamma distribution” using Weather Cock software. The weekly rainfall probability at 75 % level of exceedance varied from 10.3 to 72.6 mm during the weeks 21st to 46th. The highest monthly rainfall at 75 % exceedance occurred during June (471.1 mm) and lowest during January (3.1 mm). The highest seasonal rainfall at 75 % exceedance occurred during South-West monsoon (1466.4 mm) and lowest during winter season (10.8 mm). The annual rainfall at 75 % level of exceedance was found to be 2051.6 mm. Weibull distribution was identified as the best fit for weekly rainfall distribution in the region. The total ETc demand of rice, banana and vegetable crops at 50 % probability levels of ETo was estimated as 469.162 mm, 1124.81 mm and 267.92 mm whereas the rainwater availability at 75 % probability level was 933.85 mm, 1107.53 mm and 59.18 mm respectively. It was observed that there was a surplus of 464.688 mm for rice, deficit of 17.28 mm for banana and deficit of 208.74 mm for vegetable crop. The climatic water balance indicated that water surplus (SUR) and water deficit (DEF) components are significant. The total climatic water surplus and deficit in the region was estimated as 1985.54 mm and 155.08 mm. The Moisture Adequacy Index (MAI) of the region indicated that the most of the weeks were of in good potential for growing crops. The determination of water availability period revealed that 1,4,5,8, 9, 11 and 50th SMWs were in water deficit whereas the remaining weeks were in water surplus.
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    ThesisItemOpen Access
    Soil erosion risk assessment in Kunthippuzha sub-watershed using remote sensing and gis
    (Department of Soil and Water Conservation Engineering, Kelappaji College of Agricultural Engineering and Technology Tavanur, 2018) Shaheemath Suhara, K K; KAU; Abdul Hakkim, V M
    This study mainly focused to identify the erosion prone areas in Kunthippuzha sub-basin using RUSLE as well as MMF model. The effect of spatial and temporal variations of land use-land cover on soil erosion was analysed with the help of NDVI values. The estimation was performed for the year 2000 and 2013. The mean soil erosion estimated for the year 2000 was 18.30 and 20.58 t/ha/y respectively by MMF as well as by RUSLE model. Similarly in the year 2013, it was 32.78 and 35.10 t/ha/y respectively. To find the erosion prone areas in the sub-watershed factorial scoring method was chosen, in which pixel based scoring was done based on mean soil erosion value obtained under each layers of landuse, rainfall, slope and topographic raster. From the study based on the RUSLE model, 0.15% of the area experienced very slight erosion. 40.70% of the area was with slight erosion, 28.76% area was under moderate erosion, 22.61% of the area was under severe range and 6.15% area was under very severe range. According to MMF model, the areal extent observed under slight, moderate, severe and very severe risk categories was 39.02%, 36.94%, 14.92%, 7.50% respectively. NDVI values corresponding to land use were identified, in which negative NDVI values correspond to water pixels whereas higher NDVI values represents the thick vegetation. From the analysis of the temporal variation in land use over the NDVI, it was observed that NDVI value decreased at the points where density of the canopy decreased. The spatial variation of soil erosion varies pixel to pixel according to the landuse pattern. Highest soil erosion risk was observed under built-up plus barren land. Sediment Delivery Ratio (SDR) was calculated for the entire sub- watershed, which shows that most of the eroded sediments get deposited at intermediate location before reaching the outlet. The SDR calculation enhances the importance of adopting GIS technology in soil erosion assessment.
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    ThesisItemOpen Access
    Design and evaluation of a horizontal filter unit for ground water recharge through abandoned tube well
    (Kelappaji College of Agricultural Engineering and Technology, Tavanur, 2016) Jomol, T Joseph; KAU; Rema, K P
    The groundwater table is declining at an alarming rate and it is essential to replenish the dried out aquifers by adopting proper artificial recharge methods. Field experiment on the design and evaluation of a horizontal filter unit for groundwater recharge through abandoned tube well was conducted in the research field of Nodal Water Technology Centre, College of Horticulture, Vellanikkara. The specific objectives of the study were to design and develop a horizontal filter unit with alternate filter media for treating storm water runoff, and to evaluate the developed filter for hydraulic and pollutant removal efficiencies. Suitability of the tube well for recharging and availability of adequate amount of source water were analysed in the primary stages of study. The peak runoff expected from the area was computed and compared with the carrying capacity of the existing conveyance channel. Thus the existing channel was modified and a masonry structure with a filter unit for treating runoff and a recharging section was constructed. The filter unit had five compartments filled with Gravel, Sand, Charcoal, Synthetic fibre and Coir fibre combinations as treatments, T1: Gravel, Sand, Coir fibre, Gravel; T2: Gravel, Sand, Synthetic fibre, Gravel; T3: Gravel, Charcoal, Sand and Gravel. Three sets of length variation in three different media combinations were selected as factors, F1: 80 cm, 80 cm, 80 cm, 80 cm; F2: 80 cm, 100 cm, 60 cm, 80 cm; F3: 80 cm, 60 cm, 100 cm, 80 cm Inflow and outflow water quality was analysed for evaluating filter hydraulic and pollutant removal efficiencies in simulated and actual runoff conditions. Treatment T1F1 was better in pH normalising efficiency, T1F2 removed Nitrate and Sulphates effectively, T1F3 was better in Total hardness and Calcium removal efficiency, T2F1 performed well for Magnesium and Chloride removal efficiencies. Treatments T2F2 and T3F3 were effective for EC, TDS, Salinity, TSS, Turbidity, Acidity, Fluoride, Alkalinity, Iron removal and Hydraulic efficiencies. 135 The Gravel (80 cm), Charcoal (100 cm), Sand (60 cm) and Gravel (80 cm) combination was selected as best filter media combination and it was installed in the field for recharging. With an average annual rainfall of 2795 mm in the study area, a runoff depth of 1118 mm can be expected. Accordingly a runoff volume of 2.3 million litres of water can be diverted from the study area to the recharge well annually. Comparison of this enormous benefit from the artificial recharge structure with the cost incurred is indicating the promising future of the artificial recharge schemes. If the abandoned open wells and tube wells in Kerala are utilised as recharge wells, a large quantity of water can be recharged annually and it will improve the groundwater potential of the state for future benefits.