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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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ThesisItem 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, BabyMarketing 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.ThesisItem 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, RThe 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.ThesisItem 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, PGroundwater 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.ThesisItem 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, MathewCowpea [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.ThesisItem Open Access Evaluation of cowpea [Vigna unguiculata (L.) Walp.] genotypes for yield and resistance to pulse beetle [Callosobruchus spp.](Department of Plant Breeding and Genetics, College of Agriculture, Vellayani, 2017) Thouseem, N; KAU; Beena, ThomasThe present study entitled “Evaluation of cowpea [Vigna unguiculata (L.) Walp.] genotypes for yield and resistance to pulse beetle [Callosobruchus spp.]” was carried out at farmer’s field, Kayamkulam during 2015-2017, with an objective to evaluate cowpea genotypes for yield and resistance to pulse beetle. The study was conducted in two experiments. In experiment-I, yield and resistance to pulse beetle was evaluated in a Randomised Block Design (RBD) with three replications using 30 genotypes collected from different places. Experiment-II was to study the seed morphological and biochemical factors associated with resistance to pulse beetle in five relatively resistant genotypes and five relatively susceptible ones which were identified through experiment-I. The field experiment revealed that the genotype T1 (Ambalappuzha local) showed the highest mean values for days to 50 per cent flowering, length of main stem, pod weight, pod length, number of seeds pod-1, 100 seed weight and crop duration. The maximum yield plant-1 (32.91g) was obtained for the genotype T29 (Sreya) followed byT14 (Alathur local) and T7 (Dhavengarae local), whereas the minimum yield plant-1 (11.07g) was for the genotype T13 (Hridya). Thirteen genotypes were found to be infested under field condition and only very low seed damage via carry over population was noticed. The characters studied were found to be significant for all the genotypes evaluated. The pod weight exhibited the highest GCV (47.73%) and PCV (52.12%). Heritability was high for all the characters except number of primary branches plant-1, number of pods plant-1 and seed yield plant-1 which possessed moderate heritability. GA (% mean) was high for all the characters except crop duration. The association analysis revealed highly significant positive correlation for 100 seed weight, days to 50 per cent flowering, crop duration, number of seeds pod-1, pod girth, and pod length with seed yield both at genotypic and phenotypic levels. The path analysis revealed that 100 seed weight, number of pods plant-1 and number of seeds pod-1 had the maximum positive direct effect on seed yield plant-1. In no choice confinement test under experiment-I, there were significant differences among the genotypes in terms of oviposition, percentage seed damage and percentage seed weight loss. T2 (Kayamkulam local-1) had the least egg load while more eggs were laid on seeds of T29 (Sreya) and T1 (Ambalappuzha local). The highest percentage seed damage and the highest percentage weight loss were recorded for T13 (Hridya) and T27 (Bijapur local) respectively. The lowest percentage seed damage and percentage seed weight loss were observed for the genotype T7 (Dhavengarae local). In the study of seed morphological and biochemical factors associated with resistance under experiment-II, it was found that seed coat texture, seed coat colour and protein content of seeds were found to have no influence on resistance to pulse beetle. However, total phenol content of seed was having significant negative correlation with percentage seed weight loss. An index score was worked out to find out genotypes with good yield and relative resistance to pulse beetle. It was observed that the genotype T7 (Dhavengarae local) had the highest index score followed by T14 (Alathur local). The present study revealed that the genotype T7 (Dhavengarae local) was found to be a good yielder with relative resistance to pulse beetle followed by the genotype T14 (Alathur local). Hence these genotypes can be recommended for future breeding programmes.ThesisItem Open Access Genetic divergence in kiriyat (andrographis paniculata nees)(Department of Plant Breeding and Genetics, College of Agriculture, Vellayani, 2017) Prathibha, S S; KAU; Arya, KThe study entitled “Genetic divergence in kiriyat (Andrographis paniculata Nees)." was under taken at the College of Agriculture, Vellayani during 2015-17 with the objective to assess the genetic variability present in the natural ecotypes of kiriyat from different regions and identifying the superior ecotypes in terms of herbage yield and quality. Thirty accessions of kiriyat were collected from different parts of India and were evaluated for genetic variability with respect to herbage yield (fresh weight) and quality in terms of total extractives (%). Accession A10 from Aruvipuram showed highest mean values for seedling height (15 DAT), number of primary branches, herbage yield (137.25 g), yield plant-1 (dry herbage yield plant-1) (37.79 g) and total extractives (13.6 %) followed by the A14 (Kottakkal) and A7( Kottakkunnu). The accessions A14 (Kottakkal) and A15 (Nilambur) showed highest mean values for number of secondary branches and number of leaves seedlings-1 (15 DAT) respectively. Mean value for days to 50 percent flowering was least for accession A10. The lowest yield was exhibited by A3 (Coimbatore) accession. Average duration of the plants exhibited ranged between 182.67 and 213 days. The earliest accession was A10 (Aruvipuram) with an average duration of 182.67 days. Seedling height, number of leaves seedling-1, number of secondary branches, leaf length and width, stem girth, leaf/stem ratio, plant height, herbage yield, yield plant-1 and total extractives exhibited high coefficient of variations. Heritability was high for all the characters except number of leaves seedling-1 (15 DAT), herbage yield and yield plant-1 which possessed moderate heritability. GA (% mean) was high for all the characters except plant duration. The association analysis revealed a significant correlation among almost all characters and also with yield. Path coefficient analysis revealed that plant height, herbage yield, number of primary and secondary branches had high positive direct effect on yield. The genetic divergence was studied using Mahanalobis D2 statistics and accessions were grouped into seven clusters. Cluster VII accommodated maximum number of accessions (13) followed by cluster VI (5), cluster V (4), cluster IV (3), clusters III and II (2) and cluster I (1). Highest inter cluster distance was between clusters VI and VII while intra cluster distance was highest for cluster IV. The study revealed that variability existed among the different ecotypes of kiriyat and the ecotype collected from Aruvipuram (A10) was found to be superior in terms of herbage yield and quality followed by ecotypes from Kottakkal (A14) and Kottakkunnu (AThesisItem Open Access Development and quality evaluation of granular fruit bars(Department of Community Science, College of Agriculture,Vellayani, 2017) Meghna, K; KAU; Nirmala, CA study entitled “Development and quality evaluation of granular fruit bars” was conducted at the College of Agriculture, Vellayani during the period 2015-17, with the objective to develop granular fruit bars using fruit pulp, grains, nuts and pulses and to ascertain sensorial quality, chemical and nutritional composition, shelf life and consumer acceptability. Papaya, pineapple and other ingredients such as puffed rice, oats, bengal gram dal, ground nuts, dried fruits and Jaggery were purchased from the market. Outer coat of granular fruit bars were developed using pineapple pulp (T1), papaya pulp (T2) and blended fruit pulp (T3). Food adjuncts such as sugar and pectin were added to obtain good texture. Fruit bars were dried in tray drier at 55-60°C. After the development of three fruit bars, TSS was recorded. Drying characteristics like moisture loss, drying time and yield ratio was ascertained. Moisture loss was higher in T1 (Pineapple bar) and low in T2 (Papaya bar). Drying time of T1 (Pineapple bar) was on par with T2 (Papaya bar). Drying time required for T3 (blended bar) was 10.84 hours. High yield ratio (0.81) was observed for T2. The filling for granular fruit bars were standardised using energy sources such as puffed rice, flaked rice and oats. Puffed bengal gram dhal and roasted groundnuts were serve as protein sources. Jaggery was used as the sweetening agent for the product. To standardise granular bar, different combinations of different ingredients were formulated. Sensory quality, nutritive value, chemical score and NDP Cal% of each proportion was computed to identify the best combination. Six treatments were formulated with varying amounts of ingredients ( Rice flakes, puffed rice, oats, Bengal gram dhal, ground nuts, jaggery and osmotically dehydrated jackfruits). Three treatments with appreciable nutrient content, chemical score and NDP Cal% were selected for further study. T1 obtained the highest chemical score of 109.97 followed by T3 (98.65) and T2 (93.72). T1 was observed to have the highest value of NDP Cal% (12.38%) and T2 had the lowest NDP Cal% (9.96%). Based on above parameters T1, T2 and T3 selected for further study. T1 was identified as best formulation with the highest score of 35.30 in sensory evaluation using hedonic rating scale. The formulated outer fruit bar coat was cut into pieces and filled with T1 (30:25:10:5:5:20:5) and pressed into bars and designated as A1 (pineapple coated granular fruit bar) A2 (papaya coated granular fruit bar) and A3 (blended bar coated granular fruit bar.), thus the final products were A1, A2 and A3 GFB (granular fruit bars). The products (A1, A2 and A3) were packed in laminated pouches and stored at ambient condition. Quality parameters such as sensory acceptability, chemical and shelf life of final products were ascertained initially and monthly intervals. Sensory evaluation of final products revealed highest mean rank score for A2. Polyphenol (4.21mg) was higher in A2 and all the other chemical components were higher in A1. TSS recorded for A1 was 78.2°B, reducing sugar (43.02%) and acidity (1.32%). A1 has highest fibre content of 0.46g per 100g. The other nutrients, moisture, protein, carbohydrate, energy and fat content were higher in A3 and was 20.02%, 40.16 g, 115.06 g, 461.0 KCal and 7.71g respectively. A3 had high total minerals (4.5 g) calcium, iron, sodium and potassium and the values were 2.36 mg, 2.52 mg, 635.52 mg and 45.03 mg respectively. High vitamin C content was observed for A 3 (23.38 mg) and high β carotene content was noted for A2 (269.798 μg). Changes in moisture, acidity, sensory appeal and microbial growth if any was recorded monthly. It was observed that there was a gradual increase in moisture and acidity in stored granular fruit bars. A3 showed highest moisture content and A1 showed highest per cent of acidity throughout the storage period. Stored GFB showed gradual decrease in all sensory parameters. Microbial evaluation of GFB, revealed that, no bacterial colonies were seen in (cfu 1×10-7) in dilution initially. Few colonies of bacteria and fungus were seen in first month and number of colonies exceeded the safe limit in second month. Consumer acceptance and preference study among 50 adolescents was rated high for A2. The product cost was computed and it was found to be Rs. 36.63/- for A1, Rs. 18.75/- for A2 and Rs. 31.53/- for A3. GFB were nutrient dense, ready to eat product with fruits, grains and pulses with shelf life of one month.ThesisItem Open Access Supply chain analysis of marine fish marketing system in Kerala(Department of Agricultural Economics, College of Horticulture, Vellanikkara, 2017) Jeyanthi, P; KAU; Jesy Thomas, KFisheries is a major allied sector of agriculture contributing about 0.8 per cent to the Gross Domestic Product (GDP) and 5.15 per cent to agricultural GDP in India. Marine fisheries supports around 10 million people providing livelihood and employment directly or indirectly. Fish also provides more than one billion people living below the poverty line with most of their daily animal protein requirement globally. Kerala is a state known for its fish consumption which is more than four times the national average. However, the marine domestic fish marketing system faces several challenges in the process of distributing fish from the producer to the consumer. The study was conducted in Kerala state, which is the fourth largest fish producer in the country, and covered coastal and land locked (non-coastal) regions. The objectives of the study were to identify the supply chain of selected fish species, to assess the structure and performance of domestic fish markets, to examine the market integration and price transmission among the markets and to assess the consumer perception and suggest policy guidelines for improved fish marketing in Kerala. Two coastal districts viz., Ernakulam (E) and Kollam (K) and two land locked districts, Idukki (I) and Pathanamthitta (P) were selected and data was collected using simple random sampling from various marketing functionaries (producers, wholesalers, retailers and consumers). Since the species composition of marine fish landings is varied, the study focused on four high value (seer fish, shrimp, pomfret and tuna) and four low value but commonly consumed fish species (sardine, mackerel, anchovies, threadfin bream). Supply chain of the selected fish species was identified using the framework of Feller et al, 2006. Market performance of producers, wholesalers and retailers were assessed using Data Envelopment Analysis. The co-integration test was used to analyses the market integration of selected market pairs. Conjoint analysis was used to determine the attributes responsible for their fish purchasing behaviour. The constraints faced by the market functionaries were ranked using Rank Based Quotient. The generic supply chain of fish identified involved the auctioneer, wholesaler, retailers, secondary retailers, between the producer and the consumer. This is almost similar to the supply chain of other perishable like fruits, vegetables and flowers. The supply chain for sardine, tuna and thread fin bream also involved extra nodes in their supply chain due to industry specific demands like feed and other specialized products. The market structure of domestic fish markets was not efficient. The main reason being lack of infrastructure such as cold storage, well planned display and assemblage platforms, potable water and weighing balance. Market performance of producers was measured at the five landing centres in Ernakulam and Kollam and it was observed that only one market was efficient in each of the districts. It was revealed that the nature of inefficiency was due to scale rather than technology. In both Ernakulam and Kollam, only one wholesale market each was efficient and all other markets showed high technical efficiency i.e., above 0.80. In both wholesale and retail markets, the technical efficiency was relatively low in Idukki and Pathanamthitta with it being least in Idukki. It was revealed that the markets in the coastal regions showed relatively high technical efficiency than the land locked regions because of the higher volumes handled in the markets due to proximity with the landing centres, viz, the primary production centres, which is not so easily accessible to the land locked districts. Among wholesale markets, one market pair in Ernakulam, one in Idukki and one in Pathanamthitta showed co-integration and among retail one each in Ernkulam and Pathanamthitta showed co-integration. This indicates that in these markets there is a possibility of long run equilibrium in prices. The existence of low short run market integration (SRMI) at both wholesale as well as retail market levels was observed among the co-integrated market pairs. Consumer preference was for fresh fish in all the four districts studied in cleaned and cut form from retailers, wholesalers or wholesaler-cum-retailer. Sardine was the most preferred species in both coastal and landlocked regions of Kerala with more than 75 and 72 per cent of respondents, respectively, consuming it daily. The relative importance of attributes that consumer in Ernakulam and Kollam looked at while purchasing fish was fish species in fresh form and income. In Idukki and Pathanamthitta, availability and income were the relatively important attributes. Based on the pooled response of market functionaries in the selected districts the domination of middlemen was the major constraint for producers, wholesalers and retailers. Safety and quality of fish was the major constraint of consumers. The studies on efficiency of fish supply chain in line with the changing consumer preference are the future line of work towards sustainable fisheries development.ThesisItem Open Access Impact of projected climate change on cropping pattern of different agro ecological units of southern Kerala(Acadamy of Climate Change Education and Research Vellanikkara, 2017) Sukanya, K S; KAU; Sunil, K MClimate change poses an emerging threat to sustainability of social and economic development, livelihoods, and environmental management across the globe. Characterization of the ecosystems using the AEZ concept is a good decision making approach for variety of farming activities performed by the farmers and is a useful tool for the studying the impact of climate change. The objectives of this study are (1) to study rainfall variability and to determine water availability periods of Agro ecological units of southern Kerala under different climate change scenarios. (2) To study the impact of projected climate change on cropping pattern, crop calendar and the possible changes in the water requirements of major cropping systems prevailed in the various Agro ecological Units of southern Kerala. Daily rainfall data for the period 1991-2014 were collected from the India Meteorological Department, Thiruvananthapurm. Weather cock v.1.5 was used for converting the daily weather data into standard week, month and seasonal formats. It is also used to compute PET and Thornthwaite water balances. CROPWAT model was used for the calculations of crop evapotranspiration, crop water requirements and irrigation requirements for the development of irrigation schedules under various management conditions and scheme water supply. The annual rainfall availability in most of the AEUs of Thiruvananthapuram, Kollam and Pathanamthitta districts show a decreasing trend in the projected climate and an increasing trend in Idukki, Kottayam and Alappuzha. The number of annual rainy days generally shows a decreasing trend. The seasonal rainfall of southwest and summer monsoon will show an increase from the current situation where as northeast monsoon and winter will have a decreasing trend. In projected climate of both RCP 4.5 and 8.5 there will be high probability of having reduction in the number of months having the surplus and an increase in the number of deficit. The crop evapotranspiration values of rice based cropping system will show a tendency to increase. In perennial cropping systems of coconut based and rubber the projected crop evapotranspiration will have a reduction from the present situation whereas in coffee based cropping system the ETc will have an increasing trend. The irrigation requirement of all the major cropping systems will increase from the present situation except in the case of rice-fallow-fallow. The length of growing period of the cropping season in the major rice growing areas of different AEUs are getting shorter with slight differences among various agro-ecological units, implying a higher risk of operating under projected climate as per RCP 4.5. The sowing date will be delayed up to three to five weeks. It can be also observed that the crops will have to suffer water stress during the grain filling stage and will be under heavy rains at time of harvest in almost all the considered cases.
