Loading...
Thumbnail Image

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.

Browse

Search Results

Now showing 1 - 2 of 2
  • ThesisItemOpen Access
    Influence of weather parameters on the yield of black pepper
    (Department of Agricultural Statistics, College of Horticulture, Vellanikkara, 1990) Dessy Mabel; KAU; Gopinathan Unnithan, V K
    Influence of weather parameters on the yield of black pepper was studied utilising the data on yield of 29 varieties of pepper (Pipger nigrum) and maximum temperature, minimum temperature, relative humidity, rainfall and number of rainy days recorded from 1963-64 to 1979-80 at The Pepper Research Station, Kerala Agricultural University, Panniyoor, in the Cannanore District of Kerala. Averages/totals of weather elements for standard weeks as well as for fortnights during the critical period of crop growth viz, from April 9 to August 12 were determined. Correlation coefficients of all the weather elements of standard weeks and fortnights with annual yield when represented in correlograms revealed, wide variations in response of different varieties to changes in climatic factors among the 29 varieties. In other wards there was definite evidence of genotype - environment interaction. Forcasting models, based on weekly as well as fortnightly weather elements were estimated for each of the 29 varieties of black pepper by two stage linear regression technique. First stage models were estimated by multiple linear regression and the second stage models were estimated with the estimates of yield from first stage models as explanatory variables by step-wise regression technique. The forecasting models utilising weekly climatic data had higher predictability compared to that utilising fortnightly data. All the final forecasting models with weekly data had predictability of 98% and above. More over the first stage models, from weekly data, could also be used to forecast yield of all varieties of black pepper with remarkable accuracy.
  • ThesisItemOpen Access
    Statistical investigations on the analysis of data of long term manurial trials on paddy
    (Department of Agricultural Statistics, College of Horticulture, Vellanikkara, 1990) Rani John, V; KAU; Prabhakaran, P V
    The suitability of different statistical techniques for the analysis of data of long term fertiliser trials was examined with the help of secondary data gathered from the permanent manurial experiment in paddy at Regional Agricultural Research station. Pattambi and certain new methods with distinct advantages over the existing methods were suggested for the same. The relative efficiencies of various mathematical functions in representing the yield-fertiliser relationship and in estimating the optimum level of the applied nutrient were also evaluated on the basis of secondary data gathered from the various fertiliser experiments on paddy conducted at the various rice research stations under the KAU during the last ton years. Two new mathematical.functions were also developed to represent toe response pattern for certain types of trivial data. The methods evaluated for the analysis of data of long term trials include method of groups of experiments split plot analysis* principal component analysis non parametric method proposed by Rai and Rao stability analysis proposed by Eberhart and Russell.Iran parametric stability analysis proposed by Kassar and Kuhn and analysis based on principle of game theory. A new non parametric method as an extension of Friedman's two way analysis of variance by ranks was also developed for the analysis of such data. This method was found to be almost as powerful as the method proposed by Rai and Rao and hence can be regarded as on improvement over the existing methods as it is free from any stringent assumptions on the nature of the underlying universe. Principal component analysis was also found to be empirically atleast as efficient as tho method of groups of experiments/split plot analysis and can be adjudged to be a bettor alternative to the solution of the same problem on the grounds of theoretical and statistical validity.