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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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2012 - 20202
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Subject: Agricultural Economics × Author: KAU × End date: 2021 × Rating Count: 5 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Structural transformation and spatio temporal variations of agriculture in Kerala
    (Department of Agricultural Economics, College of Horticulture, Vellanikkara, 2020) Otieno Felix, Owino; KAU; Anil, Kuruvila
    Kerala had been undergoing several transformations in its agricultural sector. This was caused by the shift of resources like labourers from the agricultural sector to the secondary and tertiary sector. The transformation could also be seen where ever the rising agricultural wages affected the profitability of major crops due to the increase in the cost of production. The shortage of farm labourers coupled with other factors like uneconomic size of land holdings, sustained conversion of agricultural lands to non-agricultural uses and low profitability in agriculture had hampered the growth in the sector. The structural adjustments could also be observed in the state income in which there was an increase in share of income from the tertiary sector and decline in share from the primary sector. The decline in the share of agriculture in the state income was due to an aggregation of factors. Thus, the present study sought to find out the reasons leading to the transformations in Kerala agriculture by analysing the growth of agriculture and assessing the disparities among the districts in agricultural development in Kerala, examining the dynamics in land use and cropping patterns, studying the dynamics in economics, efficiency and profitability of cultivation of major crops and estimating the total factor productivity and its determinants for major crops in Kerala. The time series data for the period from 1970-71 to 2018-19 was used to understand the objectives of this study. The entire series was subjected to (Bai and Perron, 1998) methodology and six phases of growth were obtained, on which the entire study was based. These periods were Period I (1970-71 to 1980-81), Period II (1981-82 to 1987-88), Period III (1988-89 to 1994-95), Period IV (1995-96 to 2003-04), Period V (2004-05 to 2010-11) and Period VI (2011-12 to 2018-19). The Compound annual growth rates and Cuddy-Della Instability Indices were used to understand the growth performance of the crops. The results of the analyses of growth in crops revealed that food grains, tapioca, ginger and cashew had the largest loss in area throughout the period under study. Pulses, paddy, tapioca, cashew and ginger exhibited annual declines of -6.58 per cent, -3.89 per cent, -3.71 per cent, -2.44 per cent and -2.12 per cent in their area. These crops also had the lowest growth in productivities which affected the production. This was found to be due to fall in the prices of these crops, rising cost of inputs and rising prices of other crops. Rubber had the largest annual rise in area of 2.56 per cent in the entire period of the study. Other crops that were found to have performed well were coconut and banana and other plantains. The trend break analysis was also used to study the growth performance of crops in Kerala. It was established that the main reason for breaks in areas under most crops was related to profitability. It was noted that with increases in prices, especially for plantation crops, the areas under the crops also increased. Several crops had breaks in their areas exactly at the time when rubber was recording its best prices in 1995 and from 2007-08 to 2009-10. Due to the sustained rise in prices of rubber, crops like paddy were much affected, since it is a labour-intensive crop and an increase in the wages of field labour impacted it negatively. Plantation crops on the other hand were less labour intensive and the increases in prices were an incentive for the farmers to expand the area under the cultivation of those crops. In turn, the area under rubber and coconut increased tremendously especially from late 1980s. Thus, changes in prices was a major cause for most breaks in most of the crops. The government policies and interventions in the agricultural sector were found to be the major contributor to the trend breaks. The introduction of policies that promoted the cultivation of crops such as paddy led to increase in their areas and these led to the breaks. These include the group farming scheme implemented in 1988-89, promotion of paddy cultivation in the fallow lands of 2004-05 and the enactment of the conservation of paddy land and wetland act of 2008. Seemingly Unrelated Regression (SUR) model was used to understand the determinants of the growth in the GSDP from agriculture. The model revealed that the largest contributor to per capita agricultural GSVA was gross cropped area irrigated. This meant that for every additional hectare of land brought to irrigation every year, it added 75.3 per cent of the value of the output per hectare from the crop to the per capita income from agriculture. The area under high value crops was also found to be significant and positively influencing per capita GSVA from agriculture and this was a confirmation that increased cultivation of high value crops was key to growth in earnings from agriculture in Kerala State. The fertiliser consumption was also found to be important in improving the earnings realised from agriculture. The use of fertilisers improved the contribution from crops to the agriculture per capita income by 24 per cent, while rainfall improved the earnings by 10.5 per cent. The study on the land use and cropping pattern changes revealed through transition probability matrices obtained from Markov chain analyses showed that various land use classes apart from forest were not stable throughout, but had seasons of loss and gain to and from other different land use classes, which was also the same case for crops. For instance, area put to non-agricultural uses and, permanent pastures and grazing lands were the most stable land use classes in the first phase of the study (1970-71 to 1980-81). This phase was the beginning of shift from various crops to plantation crops and large tracts of lands in which other crops were grown were converted to the cultivation of plantation crops like rubber due to increasing prices and profitability. This shift in land use helped to increase the net sown area. The net sown area also had 4.4 per cent probability of receiving land from permanent pastures and grazing lands, and a probability of 21.4 per cent from area under miscellaneous tree crops. However, in contrast to the first phase, in the last and sixth phase from 2011-12 to 2018-19, the area under non-agricultural uses which got a stimulus in the fifth phase, showed a 100 per cent probability of holding to its share in the sixth phase. The cultivable waste drew gains from net sown area. The area under pastures showed a 93.2 per cent of probability of transition to net sown area, an indication that the area under permanent pastures and grazing lands was getting cleared and converted to farm lands. The study on economics, efficiency and profitability of crops revealed that the profitability of tapioca, coconut and black pepper were highest in the large and medium holdings. Ginger presented an inverse of the trend shown in many crops in which small holdings were the least profitable. This was attributed to complexities in managing large ginger farms which were prone to diseases. Overall, the profitability improved over the period under study for all the crops other than ginger, which could be attributed to increased use of high yielding varieties and efficient fertilisers that improved the productivity. Banana and other plantains, autumn paddy and coconut had the largest TFP. The TFP growth in these crops were majorly driven by increases in their technological components. Winter paddy and summer paddy also had a slight increment in their TFP mainly driven by growth in their technological changes and hindered by decline in their technical efficiencies. Tapioca, black pepper and ginger recorded negative changes in their TFPs. The decline in TFP of these crops was majorly due to the decline in the technological changes in these crops. Therefore, there is need for increased public investment in the agricultural sector. The increased public investment will in turn promote private investment in potential areas of the state, which will sequentially help to provide incentives and favourable environment for agricultural development.
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    ThesisItemOpen Access
    Socio-economic vulnerability and adaptive strategies to environmental risk: a case study of water scarcity in agriculture
    (Department of agricultural economics, College of horticulture, Vellanikkara, 2012) Rinu T, Varghese; KAU; Indira Devi, P
    Water stress is predicted as one of the most pronounced risk of climate change in countries like India. Kerala is reported as moving from wetness to dryness. Management of risks of climate change necessitates scientific estimates of the level of potential damage, accommodating for the vulnerability and adaptive mechanisms of the communities. The study entitled ‘Socio-Economic Vulnerability and Adaptive Strategies to Environmental Risk: A Case Study of Water Scarcity in Agriculture’ was undertaken with the objectives of measuring farmers’ vulnerability to water stress in agriculture and its impact on household welfare and to identify and assess the relative influence of various factors on the level of vulnerability. Further, short term and long term adaptive strategies to water stress among farmers of different socioeconomic conditions were also analysed. The most backward district of the state of Kerala, Wayanad was selected as the study area. Multistage random sampling method was adopted for sample selection. Nine panchayats from four Community Development Blocks were selected, from each of which, 15 farmers were selected. Thus the total sample size was 135. Primary data regarding the socio-economic status, land use pattern and production, sources of water for domestic use and irrigation, perceptions and adaptive strategies to water scarcity were gathered using pretested interview schedule. Indicator based approach was used for constructing the composite vulnerability index to assess the vulnerability level of the farmers. Logit model was employed to identify the factors influencing vulnerability. Apart from these, conventional tabular analysis was also used. The cropping pattern in Wayanad shows a clear shift in favour of commercial crops like arecanut, banana and rubber. The conversion of paddy lands for these crops was to the tune of 41 per cent during the last decade. The area under pepper shows a decline (54 %) and that of other commercial crops show an increase. Among other reasons, climate change is perceived as one of the major reasons for this decision by the farmers. The analysis of weather parameters and climate predictions for Wayanad also supports the farmer level observation. The rainfall and temperature pattern of the district during past years indicate an increasing level of water stress. Climate change models project very high variation in the rainfall pattern of the district in future years. An increase in the average annual rainfall coupled with lower levels of summer showers are predicted. By 2020, summer showers may decline to 43.6 mm as against the present, 70 mm. High intensity rains with low duration will be the major characteristic. A gradual increase in annual temperature by about 1.5ºC is also predicted. In this background, a composite vulnerability index considering social, economical and agronomic factors of the farmers was constructed to measure the vulnerability. More than 50 per cent of farmers were highly vulnerable and the proportion of the farmers in that group was found to be increasing during the past five years. An inverse relationship was observed between the land holding size and vulnerability level, three- fourth of the marginal farmers were vulnerable while most of the small and large farmers (41.27 % and 34.78 % respectively) belonged to the other group. Thavinjal panchayat of Manathavady block was found to be the most vulnerable and Muppainad and Vythiri panchayats of Kalpetta block were found to be the least vulnerable. The results of the logit model shows that five out of eight factors viz. diversity index, cropping intensity, percentage of irrigated area to total cropped area, net cropped area and education as having significant influence on the probability of an agricultural household being vulnerable, of which the diversity index and cropping diversity are the most influential factors. Farmers often have their own adaptive mechanism to cope with the water stress condition within the constraints. In general, adaptation strategies followed in domestic and agricultural sector can be classified into supply management strategies and demand regulating strategies or long term and short term strategies. The supply management programme includes those activities which ensure the steady supply of water and the demand side management mainly focus on more efficient use of available water resources and improving water resources. Among the respondents, a gradual shift from the dependence on external sources of water to owned sources has occurred. The dependence on external sources increases the time spent and drudgery of women folk in such households. Common adaptation strategies followed by the farmers include irrigation, varietal selection, mixed cropping, crop diversification, organic farming, soil and water conservation measures (mulching, earthen bunds and rain pits) and migration (geographical and sectoral). About 39 percent of the sample respondents were adopting irrigated farming and the average expenditure was found to be Rs 18187 per household which is nearly nine percent of the total household income. Only a few farmers were adopting micro-irrigation methods because of its high investment. This cost of adaptation, further reduces their consumption expenditure leading to household welfare loss. The study suggests research interventions in developing a sustainable cropping pattern and scientific validation with location specific studies on the impact of climate change on major crops. The need for empowering the farmers through technology, infrastructure, financial and extension support to adapt to water stress is also underlined. It highlights the importance of water resource development and the need for identifying the constraints in the adoption and develop/modify the technologies to suit local conditions. Further the implementation of weather based crop insurance programmes with localised meteorological stations as reference points is also stressed.