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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Open Access
Study on marketing management of Sitaram ayurveda pharmacy Ltd. for Narasimham oil
(College of Co-operation Banking and Management, Vellanikkara, 2017) Bhagyasree, K G; KAU; Smitha, Baby
Marketing management is the organizational discipline which focuses on the practical application of marketing orientation, techniques and methods inside enterprises and organizations and on the management of a firm's marketing resources and activities. Marketing management employs tools from economics and competitive strategy to analyze the industry context in which the firm operates. The scope of a business' marketing management depends on the size of the business and the industry in which the business operates. Effective marketing management will use a company's resources to increase its customer base, improve customer opinions of the company's products and services, and increase the company's perceived value. The project entitled “A study on marketing management of Sitaram Ayurveda Pharmacy Ltd. for Narasimham oil” were undertaken with the objectives vii. To understand the marketing management practices followed by Sitaram Ayurveda Pharmacy Ltd for the promotion of Sitaram Narasimham oil. viii. To evaluate consumers, retailers and dealers perception towards the maketing of Sitaram Narasimham oil. ix. To suggest improved marketing strategies for Sitaram Narasimham oil. The sample size of the study was 60 consumers, 8 distributors and 15 retailres of Sitaram Narasimham oil , in Thrissur Corporation. Consumers were selected by using convenience sampling method. The study was based on primary data and secondary data, the primary data were collected from the sample respondents through personal interview. The collected data were analyzed using percentage and ranking index method. In order to keep the company vibrant and responsive to the needs of the customers, it is vital to regularly monitor the level of consumer satisfaction and marketing management practices.
Open Access
Morphological variations of root knot nematode in vegetables and banana
(Department of Agricultural Entomology, College of Agriculture, Vellayani, 2017) Chinchu, P Babu; KAU; Narayana, R
The study entitled “Morphological variations of root knot nematode in vegetables and banana” was conducted at College of Agriculture, Vellayani during 2015-17 with the objective to study the morphological and morphometric variations of root-knot nematode in brinjal, okra, tomato and banana in Kerala. Morphological and morphometrical studies of females, perineal pattern, second stage juveniles and males of root knot nematodes collected from Dhanuvachapuram, Kattakada and Vellayani of Thiruvananthapuram district; Balagram, Pampadumpara and Thovalappady of Idukki district; Chazhoor, Thalikulam and Thaniyam of Thrissur district infecting brinjal, okra, tomato and banana were done and the data was analysed to identify the species. M.incognita (Kofoid & White, 1919) Chitwood, 1949, M. javanica (Treub, 1885) Chitwood, 1949, M. arenaria (Neal, 1889) Chitwood, 1949 and M. chitwoodi Golden, O'Bannon, Santo & Finley 1980 were identified from brinjal, okra, tomato and banana in Thiruvananthapuram, Idukki and Thrissur districts of Kerala. The study indicated M. incognita as the major species of root knot nematode in Thiruvananthapuram district (91.66%) with highest percentage of occurrence in brinjal and tomato (27.77). In Idukki district, the major species of root knot nematode was M. javanica (66.66%) with highest percentage of occurrence from brinjal and banana (33.33). In Thrissur district, M. arenaria was found to be the major species (66.66%) with highest percentage of occurrence in okra (37.5). M. incognita was found to be the major species in brinjal (55.55%), okra (44.44%), tomato (55.55%) and banana (44.44%) in Thiruvananthapuram, Idukki and Thrissur districts. The extent of parthenogenesis of root knot nematode was found to be very high (97.22%) in these populations. Intraspecific morphological variations were observed within M. incognita, M. javanica and M. arenaria with respect to shape of females, length and position of neck, perineal pattern morphology, tail characters including rectum dilation. Interpopulation comparison of mature females, perineal pattern and second stage juveniles of M. incognita showed that the characters length, width, neck length, stylet length, LMB, WMB and ratio a of females, LVS, AVS, ATT and IPD of perineal pattern and body length, stylet length, H-MB, ABW, tail length, ratio c and c’ were recorded as stable characters. Interpopulation comparison of mature females, perineal pattern and second stage juveniles of M. javanica showed that all the characters of females, perineal pattern and second stage juveniles were stable characters and in M. arenaria, the characters like body length, width, neck length, stylet length, LMB and WMB of females, LVS, AVS, ATT and IPD of perineal pattern and length, stylet length, H-MB, ABW and tail length were recorded as stable characters and found useful in characterizing species. Intraspecific morphological and morphometric variations of M. incognita, M. javanica, M. arenaria were recorded from four host plants in three districts in Kerala. M. arenaria and M. javanica showed high variability between the populations compared to M. incognita in Kerala. The study indicated that M. incognita, M. javanica and M. arenaria were the major species infesting vegetables and banana in Kerala. Among the sampled populations, M. hapla was not identified which shows that M. hapla is not common in Kerala conditions. The study recorded the first report of species having morphological and morphometrical characters similar to M. chitwoodi from okra in Thiruvananthapuram which opens way to molecular studies in future.
Open Access
Jus soli: college magazine 2017
(Kerala Agricultural University, Vellanikkara, 2017) KAU
Open Access
ജലം സംഭരിക്കാം വരും തലമുറകള്‍ക്കായി
(Kerala Agricultural University, Vellanikkara, 2017) KAU
Open Access
Jus soli
(Kerala Agricultural University, Vellanikkara, 2017) KAU
Open Access
Jus Soil
(College of Horticulture, Vellanikara, 2017) KAU; Vivek M . C.
Open Access
College magazine students’ union 2015-’16
(College of Horticulture, Vellanikara, 2017) KAU; Alan C. Antony
Open Access
Groundwater irrigation: management, adaptation and economic costs under declining resource conditions
(Department of Agricultural Economics, College of Horticulture, Vellanikkara, 2017) Seenath Peedikakandi; KAU; Indira Devi, P
Groundwater is the major source of domestic use and irrigation in Kerala, accounting for 39 per cent of net irrigated area. Irrigated agriculture in the state shows continuous increase over years. At the same time Kerala is reported as third among the states with highest depletion of groundwater. This situation poses challenges in agricultural production. The study ‘Groundwater irrigation: Management, adaptation and economic costs under declining resource conditions’ was undertaken, in this background. The objectives of the study were to analyse the extent of decline in groundwater resources and farmers’ understanding of the same, to analyse the extraction practices, management and economic efficiency of groundwater irrigation and coping (short term) and adaptation (long term) strategies towards management of groundwater decline and the economic cost of adaptation strategies. The study was conducted in Palakkad district of Kerala. Based on the stage of ground water development, three Block Panchayats viz., Chittur (over exploited), Malampuzha (critical) and Pattambi (semi-critical) were selected for the study. 50 Open Well (OW) irrigated and 50 Bore Well (BW) irrigated farms from each BP were randomly selected from the Grama Panchayats (GPs) where observational wells of the GWD (Ground Water Department- Kerala) are situated. Primary data was collected from the sample farms through field visits using pre-tested structured interview schedule and through direct observation. PRA (Participatory Rural Appraisal) was also conducted in each BP to draw the time line of changes in ground water status and social perceptions. Secondary data on monthly water levels of Groundwater Monitoring Wells (GMWs) maintained by GWD (Palakkad),rainfall data and published reports were used for the study. Statistical tools like descriptive analysis, regression and Stochastic Frontier Function were employed for analysis of the data. In most of the GMWs in the study area, the Water Level from Ground (WLG) has been declining over the years. The trend was more predominant during early summer (Dec.–Jan.) in Chittur and Malampuzha and in late summer in Pattambi BP. Regression analysis showed that WLG was significantly influenced by one year lagged rainfall in Chittur and current year rainfall in Malampuzha and Pattambi. The average well density was 205/km2 with highest in Pattambi. Density of defunct wells was highest (45/km2) and the average functional age of bore wells was lowest (7 years) in Chittur. The depth of well was highest in Chittur where bore well depth (136 mbgl- meters below ground level) was double than that of Pattambi. Coconut based cropping system was prevalent in most of the farms except in Malampuzha where paddy was the major crop. Flood, basin and sprinkler irrigations were found to be more common in Malampuzha and Pattambi BPs, while drip irrigation was prevalent in Chittur. Cost of irrigation in Chittur was about Rs. 29,000/ha/year which accounted for 37 per cent of cost of cultivation. Annual net return per ha. of farm was lowest (Rs. 17,640/-) in Chittur due to low cropping intensity. Stochastic Frontier Analysis indicated that mean economic efficiency was high (99.9%) in Chittur as most of the farms were functioning along the cost frontier. The variability among the farms in Chittur was low. Respondents opined that groundwater is declining over the years irrespective of the region. It has been so, for more than a decade in Chittur affecting socio-economic well-being of farmers. They attributed intensive extraction through bore wells and low rainfall as the major reasons for the decline. Farm level adaptations to water scarcity are classified under ‘supply management’ (methods that facilitated increase in quantity of water available for irrigation) and ‘demand management’ (methods that tried to use the water effectively through minimizing the use) strategies. The supply management strategies were mainly exploitative in nature which included digging new bore well (52-58%), improved draft technology with compressor pumps (58%), taking pits for water conservation (7%), coconut husk burial (12%), coconut leaf mulching (18%) and dependence on water markets (8%). Digging new bore well was the most common supply management strategy in Chittur which is highly capital intensive. The average cost amounted to Rs. 8,520/ha/year. Intensive extraction was done by excessive use of subsidized electricity. Adoption of drip irrigation (60%) was the most widely practiced demand management strategy which cost about Rs. 22,000/ha/year. Cropping pattern change from paddy and sugarcane to coconut was also observed. About 18 per cent of the land area in Chittur was kept fallow due to water scarcity. The study brings out results that suggest policy interventions in regulating bore well digging and revisiting the power subsidy system. In Chittur area, where the rainfall is scanty, extension of the Right Bank Canal of the Chittur River irrigation project is the most feasible solution. Taking up on-farm research trials in the area to suggest efficient farming systems and practices may also be done. Simultaneously water resource conservation strategies are to be popularized through awareness creation, capacity building programmes and subsidy support.
Open Access
QTL mapping for yield traits in vegetable cowpea
(Centre for Plant Biotechnology and Molecular Biology, College of Horticulture, Vellanikkara, 2017) Ashwin Varghese, V; KAU; Deepu, Mathew
Cowpea [Vigna unguiculata (L.) Walp.] is one of the most cultivated pulse crops in the semi-arid tropics of Asia, Africa, Southern Europe, and other parts of the world. It is used for both vegetable and fodder purpose. In India, kharif crop of vegetable cowpea is cultivated in an estimated area of 0.5 million hectares in states like Kerala, Karnataka, Tamil Nadu and Madhya Pradesh. Studies aimed at increased yield among crops were always challenged by the quantitative nature of traits. These quantitative traits are generally governed by multiple genes present in regions of the genome called quantitative trait loci (QTL). With the advent of molecular markers it is possible to localize the QTL with the help of linked markers, a process now widely known as QTL mapping. QTL mapping depicts the relative positioning of different markers on the chromosomes and their linkage to a specific trait. In cowpea, even though there has been few mapping efforts for traits such as resistance to Thrips tabaci and Frankliniella schultzei, flowering time, pod length and seed weight, an elaborate QTL map for yield and related traits is missing. Hence, the study “QTL mapping for yield traits in vegetable cowpea” was undertaken with the objective of mapping the SSR markers and identifying the quantitative trait loci for yield components in the genome of vegetable cowpea at the Centre for Plant Biotechnology and Molecular Biology (CPBMB), College of Horticulture, during February 2016 to June 2017. F3 plants maintained at CPBMB, derived from the cross of Sharika which is a pole type, long poded, high yielding but anthracnose and cowpea mosaic virus susceptible cultivar with Kanakamony which is a semi-trailing, medium-long poded, low yielding, anthracnose immune and cow pea mosaic virus resistant cultivar, were used to raise the F4 mapping population. Morphological observation for traits pod length, individual pod weight (IPW), pod number, days taken for first flowering (DTFF), total dry pod yield (TDPY), grains per pod, branch number, root length, plant height, plant weight, and response to anthracnose and cowpea mosaic virus diseases were recorded. High quality DNA was isolated from the parents and mapping population using the protocol standardized in this study. One hundred SSR primer pairs reported in cowpea were screened among the parental DNA for polymorphism. Thirty polymorphic primer sets were carried forward to genotype the F4 mapping population. The morphological and genotypic data were used to construct a linkage map using software ICIMapping. Two linkage groups, one having eight SSR markers distributed across 637 cM and another one having five SSR markers distributed across 271 cM were obtained. Two approaches, Single Marker Analysis (SMA) and Inclusive Composite Interval Mapping (ICIM) otherwise called Additive Linkage Mapping were followed for QTL mapping. LOD value threshold of 3.0 was used to determine the significance of QTL and linked markers. Multiple QTL hotspots were observed for different traits under study. An anchored marker, CLM0083 has been identified which was significantly linked to traits individual pod weight and total dry pod yield. The region between 25 cM to 125 cM on linkage group 1 had QTL hotspots harboring genes governing traits DTFF, TDPY, root length, plant length and plant height. This entire region was bracketed by two markers, CLM0244 at 24.25 cM and CLM0177 at 126.86 cM with an anchored marker CLM0008. This marker combination could be potentially used in marker assisted selection for the traits DTFF, TDPY, root length, plant length and plant height. Fine mapping of the QTL for these traits with large number of markers would provide more insights into the genes and hot spots involved in the yield contributing traits in cowpea.

Kerala Agricultural University, Thrissur

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