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- S. Bandyopadhyay
- S. Ramchandran
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- U. Baruah
- K. D. Sah
- S. K. Singh
- S. K. Ray
- R. Jeyabaskaran
- S. Lavanya
- V. Kripa
- Reshma Gills
- C. Ramachandran
- V. P. Vipinkumar
- Manish Kumar
- Eldho Varghese
- Jayaraman Jayasankar
- R. Narayana Kumar
- Pooja Krishna
- T. V. Ambrose
- Shinoj Parappurathu
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- R. Ratheesh Kumar
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Padua, Shelton
- A Simplified Soil Nutrient Information System:Study from the North East Region of India
Abstract Views :256 |
PDF Views:98
Authors
Shelton Padua
1,
T. Chattopadhyay
2,
S. Bandyopadhyay
2,
S. Ramchandran
3,
R. K. Jena
3,
P. Ray
3,
P. Deb Roy
3,
U. Baruah
3,
K. D. Sah
3,
S. K. Singh
4,
S. K. Ray
3
Affiliations
1 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, IN
2 ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Kolkata 700 091, IN
3 ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, IN
4 ICAR-National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpur 440 033, IN
1 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, IN
2 ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Kolkata 700 091, IN
3 ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, IN
4 ICAR-National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpur 440 033, IN
Source
Current Science, Vol 114, No 06 (2018), Pagination: 1241-1249Abstract
Soil fertility has direct implications on the agricultural production scenarios of a region. Surface soil samples at 1 km grid were collected to assess the fertility status of Lakhimpur district (Assam) in North East India. Fertility parameters like soil organic carbon, available nitrogen, phosphorus, potassium, iron, manganese, zinc and copper were determined using standard analytical procedure. Spatial distribution maps of the soil parameters were generated using regularized spline method in ArcGIS 10.0. The average soil organic carbon content was 1.05% and the maximum area was under high availability status (78%). In the case of nitrogen, 57% of the area was under low availability status. In the case of available potassium and phosphorus, the areas under low availability status were 48% and 49% respectively. But for micronutrients, in general, the availability status was high except for zinc, which indicated that 40% of the area was under low availability. A methodology was developed to integrate the individual nutrient layers using a set of decision rules to identify the multinutrient deficient zones. The integrated map showed that 24% of the area had multiple nutrient deficiencies and fell under high priority zone that warrant immediate nutrient management interventions to mitigate the situation.Keywords
Decision Rules, Multinutrient Deficiency, Soil Fertility, Spatial Variability, Spline Interpolation, Soil Information System.References
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- Tandon, H. L. S., Soil nutrient balance sheets in India: importance, status, issues, and concerns, 2007, Better crops – India, accessed 26 June 2016; http://www.ipni.net/publication/bca.nsf/0/FF2C8B8426BB6323852579A4007AD4DC/$FILE/bc-india_Nov07_p15.pdf.
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- Shukla, G., Mishra, G. C. and Singh, S. K., Kriging approach for estimating deficient micronutrients in the soil: a case study. Int. J. Agric. Environ. Biotechnol., 2015, 8(2), 309–314; doi:10.5958/2230-732X.2015.00038.8.
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- Pandian, R. D. and Haroon, A. R. M., Soil nutrient status mapping through GIS techniques of direct seeding rice cultivating area of Ramnad district. Trends Biosci., 2014, 7(22), 3722–3726.
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- Hosseini, E., Gallichand, D. and Marcotte, D., Theoretical and experimental performance of spatial interpolation methods for soil salinity analysis. Trans. Am. Soc. Agric. Eng., 1994, 37, 1799–1807.
- Meul, M. and van Meirvenne, M., Kriging soil texture under different types of nonstationarity. Geoderma, 2003, 112, 217–233.
- Robinson, T. P. and Metternicht, G., Testing the performance of spatial interpolation techniques for mapping soil properties. Comput. Electron. Agric., 2006, 50, 97–108.
- Collins, F. C. and Bolstad, P. V., A comparison of spatial interpolation techniques in temperature estimation. In Proceedings, Third International Conference/Workshop on Integrating GIS and Environmental Modeling, SantaFe, NM. Santa Barbara, CA: National Center for Geographic Information and Analysis, Santa Barbara, 1996.
- Hutchinson, M. F., Interpolating mean rainfall using thin plate smoothing splines. Int. J. Geogr. Inf. Syst., 1995, 9(4), 385–403.
- Jernigan, R. W., A Primer on Kriging. US Environmental Protection Agency, Washington DC, 1986, p. 89.
- Takkar, P. N., Soil fertility, fertilizer and integrated nutrient use. In Hand Book of Agriculture (eds Rai et al.), Indian Council of Agriculture, New Delhi, 2009, 6th revised edn, p. 516.
- Bandyopadhyay, S., Dutta, D., Reza, S. K., Baruah, U. and Sarkar, D., Land use planning of Diring-Thanglong micro-watershed of Karbi-Anglong and Golaghat Districts of Assam under Hill and Mountain Ecosystem for Integrated Development, Report No. 1048, NBSS & LUP (ICAR), Nagpur, 2013, p. 57.
- Havlin, J. L., Beaton, J. D., Tisdale, S. L. and Nelson, W. L., Soil Fertility and Fertilizers, Prentice Hall, Upper Saddle River, NJ, 1999, 6th edn, p. 499.
- Smaling, E. M. A. and Braun, A. R., Soil fertility research in sub-Saharan Africa: new dimensions, new challenges. Comm. Soil Sci. Plant Anal., 1996, 27(3–4), 365–386.
- Sood, A., Sharma, P. K. Tur, N. S. and Nayyar, V. K., Micronutrient status and their spatial variability in soils of Muktsar district of Punjab – a GIS approach. J. Indian Soc. Soil Sci., 2009, 57(3), 300–306.
- In situ Observation of Scorpionfish in Seagrass Meadows of he Gulf of Mannar, India
Abstract Views :277 |
PDF Views:88
Authors
Affiliations
1 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, IN
1 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, IN
Source
Current Science, Vol 118, No 10 (2020), Pagination: 1615-1620Abstract
The seagrass meadows of Sethukarai coast are unique in nature, housing high faunal diversity compared to other coastal areas. A rare live specimen of bandtail scorpionfish Scorpaenopsis neglecta was found near a burrow dug by an alpheid shrimp. Taxonomy, mor-phometric and meristic characters, adaptive, beha-vioural and colour-switching physiological camouflage trait of the S. neglecta are elaborated in this commu-nication. Visual in situ documentation of feeding ha-bits of scorpaenids and their preying behaviour, especially that of lionfish Pterois volitans preying on goby fish is presented. Mutualism exhibited by goby fish Amblyeleotris gymnocephala with the alpheid shrimp Alpheus rapax and the importance of habitat protection from anthropogenic activities are also dis-cussed.Keywords
Camouflage, Mutualism, Scorpionfish, Sea-Grass Meadows, Underwater Survey.References
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- Education – World of Work Mismatch: A Multidimensional Competence Gap Analysis for Reorienting the Fisheries Vocational Education System in India
Abstract Views :91 |
PDF Views:56
Authors
Reshma Gills
1,
C. Ramachandran
2,
V. P. Vipinkumar
2,
Manish Kumar
3,
Eldho Varghese
1,
Jayaraman Jayasankar
1,
Shelton Padua
1,
R. Narayana Kumar
4,
Pooja Krishna
1,
T. V. Ambrose
1
Affiliations
1 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India., IN
2 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India., IN
3 National Skill Development Agency, New Delhi 110 019, India; StatsInk Consultancy Pvt Ltd, New Delhi 110 019, India., IN
4 Madras Research Centre, ICAR-Central Marine Fisheries Research Institute, Chennai 600 028, India., IN
1 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India., IN
2 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India., IN
3 National Skill Development Agency, New Delhi 110 019, India; StatsInk Consultancy Pvt Ltd, New Delhi 110 019, India., IN
4 Madras Research Centre, ICAR-Central Marine Fisheries Research Institute, Chennai 600 028, India., IN
Source
Current Science, Vol 124, No 11 (2023), Pagination: 1329-1338Abstract
India’s New Education Policy 2020, which is in tune with SDG 4 (quality education) and SDG 8 (decent work and economic growth), has stressed the redesigning of vocational education (VE) to equip the youth for the world of work, considering the window of opportunities available till 2040. Though the competence gap is being pronounced as the foremost hurdle in the ‘education–world of work’ transition in every sector, its precise measurement and quantification remain elusive. In this context, we have develop an innovative methodological framework and a composite index (h) to measure the competence gap of the vocational higher secondary education system (VHSES), taking marine fisheries and seafood processing courses offered under the VHSES in Kerala, India as a case study. This study demonstrates that the educational gap, delivery gap, propensity to normalize with general education and inadequate learning ecosystem are responsible for the ‘education–world of work mismatch’ in VE. The findings of the present study point to specific areas of VE that need pedagogic and pragmatic reconstruction. It also shows strategic policy considerations to place the learners’ aspirations, gender and vocational opportunities in a balanced manner for a better vocational teaching–learning ecosystem.Keywords
Competence Gap, Composite Index, Gender, Marine Fisheries and Seafood Processing, Vocational Education.References
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- Ecosystem Services of Coastal Wetlands for Climate Change Mitigation: An Economic Analysis of Pokkali and Kaipad-Based Rotational Paddy Farming Systems in India
Abstract Views :153 |
PDF Views:84
Authors
C. Ramachandran
1,
Shinoj Parappurathu
2,
Reshma Gills
2,
A. R. Anuja
2,
Shelton Padua
3,
R. Ratheesh Kumar
3,
N. Rajesh
4
Affiliations
1 Fishery Resources Assessment, Economics and Extension Division, Kochi 682 018, IN
2 Fishery Resources Assessment, Economics and Extension Division, Kochi 682 018, IN
3 Marine Biodiversity and Environment Management Division, Kochi 682 018, IN
4 Mariculture Division, ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, IN
1 Fishery Resources Assessment, Economics and Extension Division, Kochi 682 018, IN
2 Fishery Resources Assessment, Economics and Extension Division, Kochi 682 018, IN
3 Marine Biodiversity and Environment Management Division, Kochi 682 018, IN
4 Mariculture Division, ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, IN
Source
Current Science, Vol 125, No 2 (2023), Pagination: 156-164Abstract
Climate change and associated weather aberrations are wreaking havoc on the performance of production systems worldwide. Because of their proximity to the sea and risk of exposure, coastal wetlands are regarded as one of the most climatically vulnerable production systems. As a result, interventions to improve their adaptation and resilience to climate change are critical. We attempted to investigate the multifunctional ecosystem roles and services provided by the Pokkali and Kaipad paddy-based rotational farming systems on the southwest coast of India, which are being revived through a pilot programme implemented by the Kerala Agency for Development of Aquaculture. The physical and economic dimensions of the ecosystem services/disservices are assessed, and policy options for further land revival and area expansion of such wetlands are proposed.Keywords
Climate Mitigation, Ecosystem Services, Ecosystem Valuation, Market Price Method, Pokkali/Kaipad Ecosystems, Replacement Cost Method, Wetland Ecosystem.References
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