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Subbulakshmi, S.
- Habitat Impact on the Proximate Composition of some Food Fishes
Abstract Views :185 |
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Authors
Affiliations
1 PG and Research Department of Zoology, Kunthavai Naacchiyaar Government Arts College for Women, Thanjavur, Tamilnadu, IN
1 PG and Research Department of Zoology, Kunthavai Naacchiyaar Government Arts College for Women, Thanjavur, Tamilnadu, IN
Source
South Indian Journal of Biological Sciences, Vol 2, No 2 (2016), Pagination: 264‐267Abstract
Fish is consumed by almost all population on earth. The moisture, carbohydrate, protein and lipid contents were evaluated to know the impact of habitat and its significance. The fishes studied were Sardinella longiceps, Mugil cephalus and Puntius vittatus, belonged to marine, estuarine and fresh water habitat respectively. The maximum level of moisture (82.31 0.91%) were noted in P. vittatus and minimum level (68.13 1.02%) was noted in S. longiceps. S. longiceps documented maximum level (26.17 1.01%) of protein when compared with Mugil cephalus (21.6 %) which exhibits low level of protein. The highest level of carbohydrates (18.21 0.91%) was observed in P. vittatus and slightly lower level (6.45 0.72%) in S. longiceps. In addition, the high amount of lipid (19.86 0.01%) was observed in S. longiceps and low level (0.8 0.01%) of lipid was recorded in M. cephalus. The lowest moisture content and carbohydrates with highest protein content in the flesh of Sardinella longiceps placed this fish on the top of this list which implies marine habitat plays a significant role in the quality of the product.Keywords
Sardinella longiceps, Puntisvittatus, Mugil cephalus, Moisture, Marine, Estuarine and Fresh Water.Full Text
References
- Ananthi S, Subbulakshmi S, Joycy JM. (2015). Biochemical study of selected freshwater fishes in Grand Anicut. International Journal of Advanced Research, 3(5), 305-307.
- Chandrashekar A, Rao P, Abidi AB. 2004. Changes in muscle biochemical composition of Labeorohita (Ham) in relation to season. Indian Journal of Fish, 51(3), 319-323.
- Ebanasar, Jayaprakas. (1996). Food utilization of (Channidae:Pisces) fed three diets of animal origin. Indian Journal of Experimental Biologu, 34, 1261-1264.
- Hedge JE, Hofreiter BT. (1962). Carbohydrate chemistry, 17(Eds. Whistier RL, Be Miller JN. Academic Press, New York.
- Kabahenda, MK, Amega R, Okalany E, Husken SM, Husken C, Heck S. (2011). Protein and micronutrient composition of low value fish products commonly marketed in the lake Victoria region. World Journal of Agricultural Sciences, 7, 521-526.
- Lowry OH, Rosebrough NH, Farr AL, Randall RJ. (1951). Protein measurement with folin phenol reagent. The Journal of Biological Chemistry, 193(1), 265-275.
- Palani Kumar M, Ruba Annathai A, JeyaShakila R, Shanmugam SA. (2014). Proximate and major mineral composition of 23 medium sized marine fin fishes landed in the Thoothukudi coast of India. Journal of Nutrition and Food Science, 4 (1).
- Subbulakshmi S, Vinothini C, Joycyjaymanoharam. (2015). Comparative analysis of some marine fishes available in Thanjavur. International Journal of Informative & Futuristic Research, 2(9), 3506-3509.
- Mains: Multi-Agent Intelligent Service Architecture for Cloud Computing
Abstract Views :160 |
PDF Views:0
Authors
Affiliations
1 Department of Information Technology, Sethu Institute of Technology, IN
1 Department of Information Technology, Sethu Institute of Technology, IN
Source
ICTACT Journal on Soft Computing, Vol 4, No 3 (2014), Pagination: 753-759Abstract
Computing has been transformed to a model having commoditized services. These services are modeled similar to the utility services water and electricity. The Internet has been stunningly successful over the course of past three decades in supporting multitude of distributed applications and a wide variety of network technologies. However, its popularity has become the biggest impediment to its further growth with the handheld devices mobile and laptops. Agents are intelligent software system that works on behalf of others. Agents are incorporated in many innovative applications in order to improve the performance of the system. Agent uses its possessed knowledge to react with the system and helps to improve the performance. Agents are introduced in the cloud computing is to minimize the response time when similar request is raised from an end user in the globe. In this paper, we have introduced a Multi Agent Intelligent system (MAINS) prior to cloud service models and it was tested using sample dataset. Performance of the MAINS layer was analyzed in three aspects and the outcome of the analysis proves that MAINS Layer provides a flexible model to create cloud applications and deploying them in variety of applications.Keywords
Agents, Cloud, Architecture, Intelligence.
- Response of Cotton to Temperature, Rainfall and Sunshine Hours at Kovilpatti, Tamil Nadu, India
Abstract Views :225 |
PDF Views:0
Authors
Affiliations
1 Agricultural Research Station (T.N.A.U.), Kovilpatti (T.N.), IN
1 Agricultural Research Station (T.N.A.U.), Kovilpatti (T.N.), IN
Source
International Journal of Agricultural Sciences, Vol 15, No 1 (2019), Pagination: 120-123Abstract
Three date of sowing with four levels of spacing were tried to know growing degree days (GDD), heliothermal units (HTU) photo thermal units (PTU) requirement of crop and heat use efficiency (HUE) for prediction of phenophases, growth and yield of cotton. Field experiments was conducted during 2010-11 in Rabi season (October - December) at Agricultural Research station, Kovilpatti (Latitude 9.17’N, Longitude 77.88’E and elevation (AMSL) 90 m), Tamil Nadu, India, using cotton (NCS 145). The treatment combinations comprised of three dates of sowing viz., D1- 39th, D2- 41st and D3- 43rd standard weeks (pre monsoon, monsoon and post monsoon sowing, respectively) in main plot with four different spacing of S1- 90 x 60, S2-90 x 45, S3- 75 x 60, S4- 75 x 45 in the sub plot. The highest HUE of 0.815 g m-2 per °C day for cotton kapas yield was recorded by pre monsoon sown crop and GDD directly reflected in cotton kapas yield. The maximum and minimum temperature, sun shine hours and rainfall had positive correlation with yield of the crops. Higher cotton kapas yield was recorded by pre monsoon sown crop due to favourable weather factors.Keywords
Cotton, Temperature, Rainfall, GDD, HTU, HUE.References
- Arian, A., Ali, J. and Shamus, T. (2001). Effect of planting date on yield and fibre quality of cotton. Indus J. Plant Sci., 1(1): 10 – 12.
- Bhalerao, P.D., Gawande, P.P., Ghatol, P.V and Patil, B.R. (2008). Performance of Bt cotton hybrids for various spacing under rainfed condition. Agric. Sci. Digest, 28 (1):54-56.
- Dhingra, K.K., Singh,S. and Tripathi, H.P. (1981). Phenological behaviour and yield of pigeonpea genoty under different dates of sowing and row spacings. In: Proc. International Worksnop on pigeonpea, (2): 15-19 Dec., 1980. p: 229-234.
- Kumar, Anil, Pandey, V., Shekh, A.M. and Kumar, Manoj (2008). Growth and yield response of soybean (Glycine max l.) in relation to temperature, photoperiod and sunshine duration at anand, gujarat, india. American-Eurasian J. Agron., 1 (2): 45-50.
- Soomro, A.R., Channa, M.H. Kalwar, G.H. Dayo, G.N. and Memon, A.H. (2000). Yield response of three cotton cultivars under varying plant spacing at Ghotki, upper Sindh. Pak Cottons., 44 (1&2): 57-60.
- Response of Black Gram Varieties to Sowing Times under Rain Fed Vertisol of Southern Tamil Nadu
Abstract Views :243 |
PDF Views:0
Authors
Affiliations
1 Agricultural Research Station (T.N.A.U.), Kovilpatti (T.N.), IN
1 Agricultural Research Station (T.N.A.U.), Kovilpatti (T.N.), IN
Source
International Journal of Agricultural Sciences, Vol 15, No 1 (2019), Pagination: 190-194Abstract
The field experiments were conducted during 2010-11, 2011-12 and 2012-13 in Rabi season (October - December) at Agricultural Research station, Kovilpatti to identify the optimum time of sowing and best suitable blackgram variety for rainfed vertisol. Experiments were laid out in split-plot design with three replications. The treatment combinations comprised of three dates of sowing viz., 39th, 41st and 43rd standard weeks (pre monsoon, monsoon and post monsoon sowing, respectively) in main plot with four different black gram varieties viz., CO 5, CO 6, Vamban 4 and Vamban 5 in the sub plot. The results revealed that sowing during 39th standard week (pre monsoon-D1) registered increased growth and yield parameters viz., plant height, DMP,LAI, number of pods/plant, number of seeds/pod, pod length, 100 seed weight, which reflected on increased grain yield. Similarly among the varieties tried CO 5 registered higher growth and yield attributes which reflected on increased grain yield which was followed by Vamban 4.Keywords
Black Gram, Dates of Sowing, Genotypes, Growth, Yield.References
- Capone, A., Barros, H. B., Santos, E. R. dos, Ferraz, E. de C., Santos, A. F. dos and Fidelis, R. R. (2012). Influence of different times of sowing on the agronomic performance of sunflower cultivars in cerrado Tocantinense. Bioscience J. 28 (2 ): 136-144.
- Dudhat, M.S. and Asodaria, K.B. (2012). Effect of sowing time and varieties on seed yield of okra. Internat. J. Agric. Sci., 8 (2) : 354-356.
- Gowda, J. Venkate, Shivaramu, H.S., KrishnaMurthy, N., Ravikumar, H.S. and Manjunatha, B.N. (2011). Effect of nipping and time of sowing on growth, yield and disease infestation of castor genotypes. Internat. J. Forest. & Crop Improv. 2 (1) : 73-77.
- Kumar, Avesh, Singh, N.P. and Kumar, Sandeep (2013). Effect of planting dates and genotypes on ischolar_main characteristics and yield of mungbean and urdbean during spring season. Internat. J. Agric. Sci., 9 (1) : 270-274.
- Mamta, J. Patange, Lad, N.G., Shinde, S.A. and Shubhangi, J. Dhage (2012). Dry matter accumulation, pod and seed yield of French bean as influenced by different dates of sowing and varieties during Kharif. Internat. J. Agric. Sci. 8 (1): 135137.
- Sandhya Rani, B., Munirathnam, P. and Gayathri, N.K. (2014). Effect of time of sowing and nitrogen fertilization on growth and yield of castor in vertisols under rainfed condition. Indian J. Agric. Rec., 48 (3): 241-244.
- Singh, Guriqbal, Kaur, Harpreet, Aggarwal, Navneet, Gill, Hari Ram K.K. and Khanna, Veena (2013). Symbiotic efficiency, thermal requirement and yield of blackgram (Vigna mungo) genotypes as influenced by sowing time. Indian J. Agric. Sci., 83 (9): 953-958.
- Verma, C.K., Yadav, R.B., Dhyani, B.P. and Tomar, S.S. (2011). Effect of seed rates and foliar spray of urea on performance of blackgram varieties. Indian J. Agric. Sci., 81(9): 881-882.