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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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    Institutional PublicationsItemOpen Access
    Micro irrigation:2006
    (Kerala Agricultural University, Vellanikkara, 2006) Suseela, P; KAU
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    Institutional PublicationsItemOpen Access
    Agriculture in the western ghats of Kerala: an agro-ecosystem analysis in Wayanad district
    (Kerala Agricultural University, Vellanikkara, 2006) Kumari Sushama, N P; KAU
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    Institutional PublicationsItemOpen Access
    Calender of training programmes 2006-07 : central training institute
    (Kerala Agricultural University, Vellanikkara, 2006) KAU
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    ThesisItemOpen Access
    Interaction effect under ammi model
    (Department of Agricultural Statistics, College of Horticulture, Vellanikkara, 2006) Eldho, Varghese; KAU; Krishnan, S
    The study of interaction is one of the major objectives of most of agricultural experiments. Conceptually this is done based on regression technique. Among the interactions studied, two factor interaction derives its importance as it is the simplest of the interactions. The joint regression technique is employed to study the G x E interaction. The regression techniques are having the assumption of additivity of effects. When there is departure from these assumption the joint regression technique fails. Additive Main effects and Multiplicative Interaction studies have helped a lot at this juncture. Raju (2002) derived a more comprehensive measure of interaction based on AMMI model. This was achieved using the spectral decomposition of the relevant interaction matrix which enabled the study of interaction with the same precision as that of studying the main effects. Biplots formulations of interaction effects based on the PCA vector scores are the most simplest and explicit representation of interaction. The study of interaction based on spectral decomposition has been illustrated using the secondary data on the biometric, chemical and qualitative characters from the projects “Development of a bimodal phasic management system to improve both quantity and quality in Kacholam (Kaempferia galanga)” and “Development of a bimodal phasic management system to improve both quantity and quality in Njavara (Oriza Sativa)”. The DMRT tests for each level of the factors viz., calcium and source were carried out for the parameters viz., percentage content of phosphorus in rhizome, percentage content of potassium in rhizome and North – South foliage spread. In all these characters no specific interaction effect could be sorted out. These interactions when studied based on the factor analytical technique revealed that source II and second level of calcium had the highest positive interaction as regards the percentage content of phosphorus; source III and third level of calcium for percentage content of potassium and source II and third level of calcium for North – South foliage spread. When the order of the interaction matrix was high as in the case of the second experiment, DMRT tests failed to highlight the appropriate interactive effect in the characters viz., grain yield, percentage content of nitrogen in grain, percentage content of phosphorus in grain, percentage content of phosphorus in straw and percentage content of potassium in straw. The study based on the factor analytical technique revealed that the treatments T15, T8, T3, T1 and T4 respectively had the highest interactive effect with Payyanur for the above said characters where as for Badagara they were T3, T14, T4, T5 and T8 .
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    ThesisItemOpen Access
    Response behaviour towards branded agro-processed products
    (Department of Co- operative Management, College of Co- operation, Banking and Management, Vellanikkara, 2006) Prameela, V; KAU; Sakeer Husain, A
    The study entitled “Response behaviour towards branded agro-processed products’ was undertaken with the following objectives: 1. To examine the response behaviour towards selected branded agro-processed products (BAPs) 2. To identify the factors influencing purchase decision and consumer choice 3. To compare the response behaviour towards BAPs of co-operative and private sectors The study was conducted in six wards of Kannur Municipality. From each of the selected wards, twenty five household consumers of the five selected BAPs viz., sambar powder, meat masala, rasam powder, pickle and jam were selected. Thus a total of 150 household consumers constituted the sample of the study. The study was based on primary data collected with the help of structured pre-tested interview schedule. Percentage, index, Kendall’s coefficient of concordance and Friedman test were the major statistical tools used for analysis. The study revealed that cent percent of the respondents consumed sambar powder and pickle while majority of them consumed meat masala (96.67%), jam (90.67%) and rasam powder (86.67%). Among the respondents, majority purchased packed branded items. ‘Easy availability’ and ‘convenience’ were the major reasons for the use of the selected BAPs. ‘Dinesh’ was the most known brand among the respondents in the case of all selected BAPs. Advertisement in the electronic media was the major source of awareness about the selected BAPs. ‘Super market’ was preferred by the respondents as the major source of purchase. ‘Dinesh’ was the major brand preferred and used by the respondents in the case of curry powder and pickle, while ‘Happy’ was the most preferred and used brand in the case of jam. ‘Brand loyalty’ was found to be very high among the users of the selected BAPs. ‘Belief in the quality of the products’ supplied by the store was the main reason found for the store loyalty of the consumers. ‘Product features’ and ‘advertisement’ were the important factors that influenced the purchased decision of all the BAPs. ‘Taste’ and ‘freshness’ were the important product features that influenced consumer choice. No significant difference was found between the co-operative and private brands of selected BAPs with regard to factors and product features influencing purchase decision and consumer choice. Any way the consumers were more satisfied with ‘availability’ and ‘quality’ of the products of co-operative and ‘availability’ and ‘taste’ of the products of private organizations. In general consumers were satisfied with the products supplied by both co-operative and private organizations. However, the selected BAPs of co-operative organizations were found to be comparatively better when compared with private products except in the case of jam.
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    ThesisItemOpen Access
    Divergence studies in salad cucumber (cucumis sativus L)
    (Department of Olericulture, College of Agriculture, Vellayani, 2006) Smitha Sara, Abraham; KAU; Gopalakrishnan, T R
    The present investigation on “ Divergence studies in salad cucumber (Cucumis sativus L)” was conducted at College of Horticulture, Vellanikkara, Thrissur during December 2005- April 2006. Twenty-eight salad cucumber genotypes collected from different parts of India were utilized for the study. The extent of variability, correlation between yield and its component characters, path analysis and divergence among 28 genotypes were assessed. The 28 genotypes were significantly different for 15 characters studied. The genotype Phule Himangi (20.22 kg/plot) emerged as high yielder followed by AAUC 2 (15.11 kg/plot). Selection of plants based on yield/plot was observed to be efficient than selection of component characters. All the accessions were prickled on the surface. All were monoecious and produced yellow flowers. Most of the genotypes produced light green fruits whereas Phule Himangi produced white stout fruits. Genotypes CS 25 and CS 35 were comparatively free from biotic factors except mosaic and serpentine leaf miner. Total yield per plot showed positive correlation with fruits per plant, duration of crop and number of harvests. Negative correlation was observed between total yield per plot and number of branches. It is clear from the study that, for obtaining higher yield characters like fruits per plant, duration of crop, number of harvests etc should be considered in the selection programme. Fruits per plant had maximum positive direct effect on total yield per plot. Higher positive effects for days to first male flower anthesis was observed on total yield per plot. The genotypes were grouped into 5 clusters based on Mahalanobis D2 statistics. Cluster I, II, III, IV and V contained 13,8,4,2,1 genotypes respectively. Inter-cluster distance was maximum between cluster II and V (48733.77) and minimum between cluster I and III (8415.55). Cluster V showed maximum average inter-cluster distance with any another cluster.
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    ThesisItemOpen Access
    Influence of host plants and soil moisture stress on the water relations in sandal
    (Department of Tree Physiology and Breeding, College of Forestry,Vell, 2006) Dhaniklal, G; KAU; Asokan, P K
    The influence of host plants and soil moisture stress on water relations in sandal was investigated in a pot culture experiment at College of Forestry, Kerala Agricultural University, Vellanikkara. Five host plants, Divi divi (Caesalpinia coriaria Jacq.), Casurina (Casuarina equisetifolia J.R & H.G. Forst), Pongamia (Pongamia pinnata (L.) Pierre), Lantana (Lantana camara L.) and Erythrina (Erythrina indica Lamk.) were selected for this study. The results showed that Sandal seedlings with and without host showed similar height increment, except when erythrina was the host. The host plant had no influence on most of the growth parameters of sandal seedlings. The collar diameter of sandal seedlings with and without host was on par during the early seedling stage and by the end of the experimental period it showed a significant difference. There was no significant difference in the number of leaves, leaf area and root length of sandal with different hosts. Haustorial connections were not recorded even after the experimental period. Sandal seedlings with Erythrina indica as host decreased the pre dawn water potential. Water stress decreased the seedling height, collar diameter, number of leaves, leaf area, shoot dry weight and total dry weight of sandal seedlings. Fully irrigating the pots once in three days resulted in better growth of sandal seedlings as compared to irrigation once in six days. Water stress increased the root length and root dry weight. Root length was found to be more for sandal seedlings which were irrigated once in six days compared to that, irrigated once in three days. Water stress decreased leaf area of sandal seedlings. Transpiration rate at 14:00 hrs was found to be more than that of transpiration at 8:00 hrs. Transpiration rate decreased with increase in soil moisture stress. Pre dawn water potential was lower for sandal seedlings irrigated once in six days compared to that irrigated once in three days. As the haustorial connections were not observed even after 270 days after planting it can be concluded that the difference in the seedling growth parameters of sandal with some of the hosts is due to the above and below ground competition for sun light, water and nutrients.
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    ArticleItemOpen Access
    Impact of bird flu: a case of Tamilnadu State, India
    (The Ethiopian Veterinary Association, Ethiopia, 2006) Veerakumaran, G; Pitcha, C; KAU
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    ThesisItemOpen Access
    Polymorphism of ovine fecundity gene linked microsatellite markers in malabari goats
    (Department of Animal Breeding and Genetics, College of Veterinary and Animal Sciences, Mannuthy, 2006) Seena, T X; KAU; Raghavan, K C
    The objective of the present study was to explore the polymorphism of ovine fecundity gene linked microsatellite markers in Malabari goats. Malabari goats are one of the most prolific breeds in India. The microsatellite markers OarAE101, BMS2508 and BM1329 linked to the Booroola gene (FecB) and the microsatellite markers TGLA54 and TGLA68 linked to Inverdale (FecX1) gene in sheep were selected for the study. The DNA samples from 120 Malabari goats which had given birth to singles, twins, triplets and quadruplets in the second and subsequent parities were utilized for the study. DNA was isolated by phenol chloroform extraction procedure with some modifications. The DNA samples were amplified by PCR using the radioactively labeled microsatellite primers. The amplified products were resolved by polyacrylamide gel electrophoresis followed by autoradiography. The genotypes of animals were determined for each microsatellite loci by comparing the sizes of alleles with M13 phage DNA sequencing ladder. The microsatellite markers OarAE101, BMS2508 and TGLA54 were found to be monomorphic in the population under study. The microsatellite markers BM1329 and TGLA68 were found to be highly polymorphic in Malabari goats. A total of 15 alleles with 167-195 bp for the locus BM1329 and 8 alleles with a size range of 98-114 bp were observed for the locus TGLA68. The total number of genotypes observed was 34 for BM1329 locus and 12 for TGLA68 locus. Heterozygosity of 0.8660 for the locus BM1329 and 0.8024 for the locus TGLA68 were observed. The polymorphic information content (PIC) computed was 0.8526 and 0.7823 for the loci BM1329 and TGLA68 respectively. A significant difference in the alleles 181bp and 191 bp (P≤0.01) and the alleles 179 bp and 185 bp (P≤0.05) and the genotype 177/191 (P≤0.01) for the locus BM1329 were found in different types of births. The genotype 175/185 of the microsatellite marker BM1329 was found to be significantly related to a higher litter size when compared to the mean litter size of the population in Malabari goats (P≤0.01). The allele 104 bp of the locus TGLA68 was found to be significantly different in different types of births (P≤0.01). The highest frequency (0.4545) was observed in triplets followed by twins (0.2177) and singles (0.1847). The genotype 104/106 was found to be significantly different in different types of birth with triplets having a frequency of (0.4545), followed by singles (0.1087) and twins (0.0333). The season of birth had no significant effect on the type of birth and number of kidding in Malabari goats. Identification and selection of individuals that carry the alleles and genotypes associated with high prolificacy is possible in Malabari goats based on the above result. So new breeding strategies involving selection for high prolificacy can maximize the net profit of farmers. This study has brought to light important information improving the reproductive performance of Malabari goats by marker assisted selection.