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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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1995 - 19964
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Subject: Agricultural Economics × Author: KAU × End date: 1996 × Start date: 1995 × Type: Thesis ×
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Now showing 1 - 4 of 4
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    ThesisItemOpen Access
    Optimum plot size for inter croping experiments
    (Department of Agricultural Statistics, College of Horticulture, Vellanikkara, 1995) Reji, K; KAU; Sunny, K L
    A uniformity trial was conducted in bhindi intercropped with cowpea at the experimental field of College of Horticulture, Kerala Agricultural University, Vellanikkara during July 1993 to December 1993 to assess the nature and magnitude of soil heterogeneity, and to determine the optimum size of plot for increasing the efficiency of experiment with intercropping. Three different approaches have been attempted in the statistical analysis. At the time of harvest, the yield data from 320 plots each of size 0.60m x 0.45m were recorded separately after discarding the border rows. It was observed that the index of soil heterogeneity was very high in all these approaches indicating that the contiguous plots are not correlated and the fertile spots are distributed randomly or in patches. It was also observed that an increase in the plot size in either direction decreased the coefficient of variation but the decrease was not proportional in all these approaches. The empirical law suggested by smith gave a satisfactory fit to the data. All the other non- linear models tried also gave a satisfactory fit to the data in all these approaches. The optimum plot size obtained by following different approaches indicated that 10 basic units plots(2.7m2) are optimum for conducting the intercropping experiment with bhindi and cowpea. Comparison of the LER and the bivariate analysis method showed that for the same level of precision the LER method gives a smaller plot size implying that per unit cost of experimentation will be higher in bivariate analysis. For any choosen plot size the precision attained through LER analysis is larger than that through bivariate analysis. However, when the multivariate approach is adopted the optimum plot size was obtained as 10 basic units (2.7m2) as in the case of LER.
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    ThesisItemOpen Access
    Impact of increase in wage rate and cost of fertiliser in rice production in Thiruvananthapuram district
    (Department of Agricultural Economics, College of Agriculture, Vellayani, 1995) Anitha, A V; KAU; Narayanan, Nair ER
    The study ‘‘Impact of increase in wage rate and cost of fertilizers in Rice production in Thiruvananthapuram district’’ was carried out with the following objectives. 1. To examine the changes in the pattern of labour intake and fertilizer use consequent on the increase in wage rate and price of fertilizers. 2. To study the impact of increase in price of fertilizers and wage rate in the production and productivity of Rice. An attempt was also made to work out the economics of Rice cultivation and to examine the resource are efficiency of different input factors involved in the production process. The study was conducted at Nedumangad Agricultural sub division using a sample of 120 farmers selected by multi stage stratified random sampling technique. The variables selected for the study included wages paid to the labourers during first and second crop season of 1992-93 and 1993-94., labour use for different agricultural operations, quantity of fertilizers and organic manner used, production obtained in different crop seasons, and pricer of input and output obtained in different crop seasons. The data were collected from Rice growers using a well structured and pretested questionnaire. The data so collected were analysed using appropriate statistical techniques, viz., index numbers, percentage analysis and regression analysis. Some of the important findings of this study were. 1. Majority of the respondent farmers fell in the age group of 45-60 years, had nuclear families, educated up to high schools and were mere agriculturists. 2. The total cost of cultivation increased by 12.53 per cent in S4 season over S1 season due to the increase in cost of all the input factors involved in the production process. 3. The maximum share of total cost was contributed by labour component which was 72.5 per cent in S1 season, 69.32 per cent in S2, 70.32 per cent in S3 and 70.82 per cent in S4 season. Among this the expenditure on human labour was the highest which was 56.19 per cent to total cost in S1 and it increased to 57.45 per cent in S4 season. 4. The share of fertilizers to the total cost increased from 6.53 per cent in S1 to 7.46 per cent in S4 season and it was maximum during S2 season (9.62 per cent). 5. The returns from grain was more in first crop season and less in second crop season because the farmers mostly used high yielding variety during first crop season. 6. The price of nitrogen in terms of urea reduced by 9.79 per cent in S4 season. But its level of use reduced by 11, 15 and 5 per cent respectively in stratum I II and III 7. Since S1 season, the price of phosphate increased by 101.73 per cent in S2 season, 86.38 in S3 season and 65.66 per cent in S3 season. During this period a reduction in its use at the rate of 12-14 per cent in stratum I and II and 6-7 per cent in stratum III was noticed. 8. The price of potash showed an increase of 185.8 per cent in S2 season, 184.60 per cent in S3 season and 124.60 per cent in S4 season over S1 season. During this period its use was reduced by 13-16 per cent in stratum I and II and 4-8 per cent in stratum III. 9. A study increase in the wage rate of men and women labourers was observed during this period. But a proportional reduction in the level of labour use was not noticed. The wage rate of both male and female labourers were above the minimum wage rate fixed by the Government. 10. The price of output increased by 14 per cent in S4 season over S1 season. The increase in the price of output was only nominal when compared to the price of inputs. 11. The production function analysis revealed that the cost of organic manures and men labour had significant elasticity during S1, S2 and S3 season. Nitrogen had significant elasticity in S2 season and women labour in S4 season. Other factors did not appear significant. 12. The marginal value product of organic manure and nitrogen were much above their respective factor cost. But the marginal value product of men labour was less than the wage rate prescribed. The results obtained from the study was similar to those obtained in earlier studies with regard to most of the variables. The results clearly indicated that the profits from cultivating rice had been declining under pressure of rising input prices. The exorbitant rise in the prices of farm inputs like fertilizers and labour restricted their use by the farmers and there by reduced the level of productivity in recent years. By proper policy measures of the Government and its implementation the rice cultivation can be made a profitable preposition.
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    ThesisItemOpen Access
    Economics of production and marketing of selected medicinal plants in Thrissur district
    (Department of Agricultural Economics, College of Horticulture, Vellanikkara, 1996) Mayadevi, A; KAU; Mukundan, K
    The present investigation on the production and marketing of selected medicinal plants (Kacholam and Koduveli) in Thrissur district was undertaken during the year 1994-1995. The study aimed at estimating the cost of cultivation, cost of production, benefit-cost ratio, study the market structure and look into to the various uses to which these medicinal plants are put and the problems encountered in medicinal plants cultivation. Multi stage random sampling design was adopted for the study. The largest single item of input was human labour in Koduveli and seeds in Kacholam. Cost A1, Cost A2, Cost B1, Cost B2, Cost C1 and Cost C2 per hectare were Rs.26,678.09; Rs.26,678.09; Rs.27,534.09; Rs.27,534.09; Rs.52,534.09; Rs.31,549.59 and Rs.56,550.59 respectively for Koduveli and Rs.49,332.5; Rs.49,332.5; Rs.50,609.30; Rs.50,609.30 and Rs.75,609.30 respectively for Kacholam. The income measures in relation to different cost concepts in medicinal plants cultivation such as gross income, farm business income, family labour income, net income at Cost C1 and Cost C2 and were Rs.130400.69, Rs.81068.19, Rs.54791.39, Rs.79791.39 and Rs.54791.39 for Kacholam and Rs.136003.69, Rs.109325.6, Rs.83469.6, Rs.104454.1 and Rs.79452.8 respectively for Koduveli. Input-output ratio based on Cost A1, Cost A2, Cost B1, Cost B2, Cost C1 and Cost C2 were Rs.2.62, Rs.2.62, Rs.2.55, Rs.1.71, Rs.2.55 and Rs.1.71 for Kacholam and Rs.5.10, Rs.5.10, Rs.4.90, Rs.2.59, Rs.4.30 and Rs.2.40 for Koduveli respectively. The average per hectare yield in the district for Kacholam was 1862.9 kilogram (dried) and for Koduveli 6476.3 kilogram (green). Production function analysis done separately for the two medicinal plants revealed that area and seeds towards gross income were found to have positive effect on gross income. The sum of elasticities of production function for Kacholam (1.0862) and for Koduveli were (1.0228) respectively which indicated constant returns to scale. The major marketing channels identified in Thrissur market for marketing of medicinal plants was Producer-dealer-manufacturer. The producers’ net share on dealer rupee was Rs.69 per kilogram (92 per cent) for Kacholam and Rs.20 per kilogram (83.3 per cent) for Koduveli. The index of marketing efficiency was 11.5 for Kacholam and 7 for Koduveli. The analysis of marketing efficiency revealed that the efficiency of marketing of Kacholam was higher when compared to Koduveli. Non availability of good materials in sufficient quantities, unawareness of farmers about their cultivation, high post-harvest losses and unorganized trade are the main constraints encountered in medicinal plant cultivation.
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    ThesisItemOpen Access
    Income savings and capital formation in farm households of Kodakara development block
    (Department of Agricultural Economics, College of Horticulture, Vellanikkara, 1996) Prema, A; KAU; Thomas, E K
    The present investigation on income, savings and capital formation in farm households of Kodakara development block was undertaken during the agricultural year 1994-95. The study aimed at analyzing the various sources and amounts of income, estimating the costs and associated variables influencing the income and savings pattern, to assess the capital output ratio on farms and to identify the constraints influencing capital formation. Data for the study was generated through a sample survey of 120 farm households. Three stage random sampling was adopted for the study. Suitable statistical techniques were employed in the analysis of data. The average income of the sample households worked out to Rs.39019.30 of which 27.60 per cent was from farm income and 72.40 was contributed by non farm income. Farm income comprised of income from crop (78.05 %), livestock (20.00 %) and others like sale of farm assets etc. (1.95 %). Services (88.55 %) and business (10.07 %) contributed to the non-farm income of the households. Gross farm income, farm business income, family labour income and net income were Rs.16061.20, Rs.9368.85, Rs.7890.70 and Rs.8743.55 respectively. The benefit –cost ratio of the farms worked out to 1.79 and the capital output ratio was 3.08. Average expenditure of farm households was Rs.29507.70 of which crops accounted for 22.70 per cent, livestock 10.50 per cent and consumption 64.80 per cent. Food items accounted for 69.05 per cent of the consumption expenditure of farm households and it was observed that as the farm size and family size increased, the percentage expenditure on food decreased. The disparity in non-farm income was observed to be higher than the disparity in farm income and it decreased with increase in farm size. The saving pattern showed that 81.67 per cent, 67.5%, 56.87 per cent, 35.83 per cent and 76.07 per cent of the farm households had accounts (transaction with) in co-operatives, commercial banks, post offices, LIC, kurries and chitties. Savings of sample household amounted to Rs.9511.60 which was 24.40 per cent of the total income. Path analysis identified non-farm income, net farm income and family expenditure as the three important variables with substantial direct effect on savings. The asset structure of the sample farm households showed that land was the major item of asset. If land, residential building and household durables were excluded, wells and tanks followed by livestock occupied the major portion of his asset. Purchase of irrigation appliances and livestock were the major item of capital formation in the farms. The rate of capital formation increased as the farm size increased. High consumption expenditure, followed by non-availability of labour and high wage rate were perceived by the respondents as the important constraints to capital formation in the study area. High price of inputs followed by low product price formed the fourth and fifth important constraints. Unemployment of educated youth and lack of irrigation facilities were also remarked as constraints to capital formation.