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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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  • ArticleItemOpen Access
    Combining ability analysis in cowpea (Vigna Unguiculata [L.] Walp)
    (Kerala Agricultural University, 1998) Sobha, P P; Abdul Vahab, M; Krishnan, S; KAU
    Combining ability was studied in a 10 x 10 diallel cross in cowpea for nine important characters. The variance due to general combining ability and specific combining ability showed both additive and non-additive gene action for plant height, primary branches, days to flowering, pod length, pod weight, pods per plant, seeds per pod, 100 seed weight and yield per plant. Among ten parental lines, Arka Garima, VU-18, Selection 2-1, Section 263, Pusa Komal and Kanakamoni were good general combiners for most of the yield components. The hybrids VU-18 x Arka Garima and Selection 2-1 x VS 389 possessed high specific combining ability effects for yield per plant.
  • ArticleItemOpen Access
    Genetic variability in Abelmoschus Caillei L.
    (Kerala Agricultural University, 1999) Reena Susan Chacko; Suresh Babu, K V; Rajan, S; Krishnan, S; KAU
    Studios on parameters of variability . correlation and path coefficient analysis of fruit yield in Abttmoschus caillei L- revealed that characters such as number of branches per plant, number of nodes per plant, plant height and fnlit length had maximum coefficient of variation. Higher values of heritahility anil genetic advance were simultaneously estimated for fruit yield per plant and fruits per plant. Yield per plant had hiph positive significant correlation with fruits per plant, fruit length, fruit weight, plant height and number of intemodes on main stem. Path analysis revealed positive direct effect on fruit yield per plant through fruits per plant followed by plant height.
  • ArticleItemOpen Access
    Productivity of cashew as influenced by chlorophyll and leaf nitrogen content
    (Kerala Agricultural University, 1994) Latha, A; John, P S; Mercy George; Krishnan, S; KAU
  • ArticleItemOpen Access
    Estimation of leaf area in garcinia cambogia (Kodampuli) through linear measurements
    (Kerala Agricultural University, 1996) Lila Mathew; Sarah T George; Krishnan, S; KAU
  • ArticleItemOpen Access
    Estimation of distribution of cumulative rainfall for a specific period within a Njattuvela
    (Kerala Agricultural University, 1993) Krishnan, S; Narayanikutty, U; KAU
    A stochastic model for determination of time distribution of cumulative rainfall for a specific period within a njattuvela was worked out by making use of the daily rainfall data collected from the Regional Agricultural Research Station, Kerala Agricultural University, Kumarakom. A day having a minimum of 3 mm of rainfall was regarded as a wet day. The daily rainfall depth within a njattuvela was characterised using an exponential distribution. Further the first and second order Markov chain models were fitted to the data. Thechi-square test for adequacy of f i t revealed that the first order was the best fit. Using the first and second order Markov chain probabilities, the cumulative rainfall depth of at least a reasonable amount was worked out. The study thus brought out that the significance of stochastic models for characterisation of time, distribution of rainfall depth.