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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 Standardisation of spacing and nutrient levels for fodder rice bean [Vigna umbellata (Thunb.)].(Department of Agronomy, College of Agriculture, Vellayani, 2018) Ajmal Fayique, C; KAU; Usha C, ThomasThe study entitled “Standardization of spacing and nutrient levels for fodder rice bean [Vigna umbellata (Thunb.)]” was conducted at College of Agriculture, Vellayani, Kerala during Kharif 2017 to standardize the spacing and nutrient requirement of fodder rice bean and to study its impact on growth, yield and quality of the crop. The experiment was laid out in Randomised Block Design (33 confounded factorial) with three replications.The treatments consisted of three spacings (s1 - 30 cm x 10 cm, s2 - 30 cm x 20 cm and s3 - 30 cm x 30 cm), three levels of nitrogen (n0 - 0 kg ha-1, n1 - 20 kg ha-1 and n2 - 30 kg ha-1) and three levels of phosphorous (p0 - 0 kg P2O5 ha-1, p1 - 20 kg P2O5 ha-1 and p2 - 40 kg P2O5 ha-1) . FYM @ 5 t ha-1 and K2O @ 30 kg ha-1 were applied uniformly to all treatments as basal. The treatment s1 resulted in the highest plant height at 30 DAS and leaf: stem ratio at harvest. Application of N @ 20 kg ha-1 registered the highest plant height and was on par with 30 kg N (n2) while leaf stem ratio was the highest at n2. Levels of P had no significant impact on growth characters. The treatment combination s2n2p1 produced the tallest plants (173.17 cm) at harvest and treatments s1n0p1 and s1n2p2 recorded the highest leaf: stem ratio (0.82) but were on par with s1n0p0, s2n0p0, s n0p2, s1n1p0, s2n0p2 and s3n0p1. At 30 DAS, s1 produced the highest LAI (2.27) while at harvest, s2 was found superior. The highest NAR was observed at s1 and was on par with s3. Closer spacing (s1) enhanced the CGR at 30 DAS and harvest. Application of 30 kg N ha-1 (n2) enhanced LAI at both stages. At 30 DAS and at harvest, higher NAR were observed at n1 and n2. At 30 DAS, n2 and p1 registered the highest chlorophyll contents. The treatment s1 n2 p1 (30 cm x 10 cm spacing + 30 kg N ha-1 + 20 kg P2O5 ha-1) resulted in the highest LAI, CGR and chlorophyll content at 30 DAS. Spacing and N levels had significant impact on green fodder yield (GFY) and dry fodder yield (DFY). The highest GFY (12.95 t ha-1) and DFY (2.59 t ha-1) were produced at s1 (30 cm x 10 cm) and was on par with s2. The highest GFY (13.66 t ha-1) and DFY (2.73 t ha-1) were produced at n2 (30 kg N ha-1) and was on par with n1. The S x N x P interaction s1 n2 p1 (30 cm x 10 cm + 30 kg N ha-1 + 20 kg P2O5 ha-1) recorded highest GFY (17.29 t ha-1) and DFY (3.46 t ha-1). The different spacing had no impact on crude protein (CP) but the lowest crude fibre (CF) was observed at s1. Application of 30 kg N ha-1 (n2) resulted in the highest CP content and the lowest CF content was estimated at 0 kg N ha-1. Among P levels, p2 recorded the highest CP (17.69%) and was on par with p1. The lowest CF (16.43 %) was observed at s2n0p1 (30 cm x 20 cm spacing + 20 kg P205 ha-1) and was on par with s1n0p0, s1n0p1, s1n2p0, s2n0p0, s2n0p2, s3n0p0 and s3n0p1. No variation in N uptake was observed due to treatments. Uptake of P varied with N levels only and n1 and n2 recorded the highest P uptake. Spacing and P levels influenced K uptake by the crop and the highest uptake was observed at s1 and p2 but p2 was on par with p1. The three factor interaction s1n2p1 registered the highest P and K uptake. However, it was on par with s1n1p2, s1n1p0, s2n1p1 and s3n0p2 in P uptake and with s1n2p2 in K uptake. Increasing N levels increased pH and EC of soil after the experiment. Soil available N after the experiment was the highest at s3 (on par with s2) and n2 (on par with n1). At wider spacing, application of N enhanced the availability of N in the soil after the experiment. Available P in the soil varied with S x P interaction but all treatment combinations were on par except s2p0 and s3p2. The highest soil available K was observed at n0 among N levels and at p1 among P levels. The interactions S x N, S x P and N x P significantly influenced available K in the soil. Economic analysis revealed the highest net income (₹ 35762) and BC ratio (3.22) at s1n2p1 (30 cm x 10 cm spacing + 30 kg N ha-1 + 20 kg P2O5 ha-1). From the study, it can be concluded that fodder rice bean can be profitably cultivated at a spacing of 30 cm x 10 cm with application of 30 kg N ha -1 in two splits at 15 and 30 DAS and basal application of 20 kg P2O5 ha-1, 5 t ha-1 of FYM and 30 kg K2O ha-1.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 Vegetative propagation of promising jackfruit (Artocarpus heterophyllus Lam.) types(Department of Pomology and Floriculture, College of Agriculture,Padannakkad, 2018) Ashok Madala, KAU; Rajagopalan, AThe investigation on ‘Vegetative propagation of promising jackfruit (Artocarpus heterophyllus Lam.) types’ was conducted at the College of Agriculture, Padannakkad, Kasaragod during the period 2017 - 18 to evaluate the success of epicotyl and softwood grafting in promising types of jackfruit and to examine the variation among jackfruit types with respect to grafting methods. The experiment comprised of five promising types of jackfruits viz., V1 - Varikka - early bearing (KJ 186), V2 - Gumless (KJ 397), V3 - Seedless (KJ 180), V4 - Cluster (KJ 182) and V5 - Muttam varikka (KJ 231) and two method of grafting i.e., M1 - epicotyl grafting and M2 - softwood grafting. The experiment was laid out in factorial CRD with three replications. The different jackfruit types showed significant influence for all the parameters studied except number of branches. Type V2 resulted in earliest sprouting (26.50 days) and maximum sprouting percentage of grafts (41.91 per cent) while type V3 recorded maximum survival percentage (66.94 per cent) and shoot length (8.13 cm). Maximum shoot girth (1.50 cm), number of nodes (7.50), number of leaves (7), length of leaf (12.34 cm) and breadth of leaf (5.64 cm) were observed in type V4. On the other hand, the maximum days to sprouting (30.33 days), minimum sprouting percentage (28.77 per cent), minimum shoot length (6.43 cm) and minimum number of leaves (5.17) were recorded in type V5 while type V1 showed minimum survival percentage (38.89 per cent), shoot girth (1.15 cm), leaf length (8.41 cm) and breadth of leaf (4.22 cm). Among the methods of grafting, the results on percentage of sprouting and survival as well as number of branches were not significant while all other parameters showed significant effects. Epicotyl grafts resulted in early sprouting of buds (26.00 days) and maximum shoot length (7.36 cm) whereas maximum shoot girth (1.36 cm), number of nodes (6.13), number of leaves (6.33), length of leaf (11.16 cm) and breadth of leaf (5.29 cm) were observed in softwood grafts. The interaction of varieties and methods of grafting were significant in most of the characters recorded. Interaction V2 x M1 was found better in early sprouting (24.33 days) and V2 x M2 resulted in maximum sprouting percentage (46.90 per cent) while V3 x M1 gave maximum survival of grafts (86.67 per cent). Hence, for the mass multiplication of Seedless type epicotyl grafting could be adopted and for other types like early bearing varikka, Gumless and cluster, softwood grafting could be practiced.ThesisItem Open Access Evaluation of miRNA prediction tools and in silico analysis of micro and long non coding RNAs in sweet potato(Department of Plant Biotechnology, College of Agriculture, Vellayani, 2018) Aswathy, M B; KAU; Sreekumar, JThe study entitled “Evaluation of miRNA prediction tools and in silico analysis of micro and long non coding RNAs in sweet potato (Ipomoea batatas L.)” was conducted at the ICAR-CTCRI, Sreekariyam. The objectives of the study is to compare different miRNA and target prediction tools and in silico analysis of the miRNAs and lncRNAs in sweet potato. The plant miRNA identification tools: NOVOMIR and miRPlant and miRNA-target prediction tools: psRNATarget and miRanda were compared. NOVOMIR and psRNATarget were found to be a better tool in miRNA identification and target prediction. MicroRNAs (miRNA) are 18-22nt small, endogenous non coding RNA that has prominent role in many biological processes. In the present study, we report the computational prediction of miRNAs and targets from expressed sequence tags (ESTs) of sweet potato. We predicted 13 novel potential miRNAs and 81 potential target genes and functionally characterized by BLASTX and BLAST2GO. The predicted target genes were credited with their role in signalling cascades, metabolism, and defence and stress responses. Another candidate that has more importance in the genome regulation is lncRNAs. lncRNAs are greater than 200 nucleotide length ncRNA candidate that holds functions at RNA level itself. RNAplonc is a plant long non coding RNA identification tool which uses 16 feature selection methods to predict long non coding RNA molecules. The present study which predicts 9215 lncRNAs and 8665 protein coding genes by RNAplonc in sweet potato for the first time using available ESTs sequences. Since there is a lack of lncRNA functional annotation tool, the functional analysis of predicted lncRNAs is quiet difficult. From the predicted miRNAs and lncRNAs two miRNAs and two lncRNAs were randomly selected for experimental validation by real time quantitative PCR using three different sweet potato varieties Sree Kanaka, ST13 and Khanjakad available at ICAR-CTCRI and compared the target gene’s expression in each variety. Validation results prove that both the miRNAs and lncRNAs shows their importance in crop improvement.
