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Varghese, Eldho
- Increase in Spatial Spread of Extreme Warm Day Temperature Events: Regional to National Perspective for India (1951–2014)
Abstract Views :240 |
PDF Views:73
Authors
Affiliations
1 Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, IN
2 Division of Design of Experiments, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110 012, IN
1 Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, IN
2 Division of Design of Experiments, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110 012, IN
Source
Current Science, Vol 118, No 12 (2020), Pagination: 1930-1938Abstract
This study analysed gridded temperature dataset for last six decades over India and its different agroclimatic zones to determine the changes in land area affected by extreme warm day temperatures. The results indicated an unequivocal increase in the area influenced by different levels of extreme warm days over the country; the rate was significantly higher during the last three decades. The increase in land area affected by extreme-of-extreme temperature events occurred at a higher rate compared to the lowfrequency extremes. Statistical tests indicated clear change in the probability distribution of the land area affected by extremes, signifying that comparatively high-frequency extremes are occurring over larger areas. The results showed regional dissimilarity, with five agro-climatic zones (ACZ-02, 09, 10, 11, 12) showing increase in land area under most levels of extremes, and three agro-climate zones (ACZ-08, 13, 14) showing increase in land area for a few extreme levels.Keywords
Climate Change, Extreme Temperature, Warm Days, Land Area, Trend Analysis.Full Text
References
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- Experimental Designs for the Selection of Integrated Farming System Components
Abstract Views :87 |
PDF Views:53
Authors
Affiliations
1 Post Graduate School, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi 110 012, India., IN
2 Division of Design of Experiments, ICAR-Indian Agricultural Statistics Research Institute, Pusa, New Delhi 110 012, India., IN
3 Division of Fishery Resources Assessment, Economics and Extension, ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India., IN
1 Post Graduate School, ICAR-Indian Agricultural Research Institute, Pusa, New Delhi 110 012, India., IN
2 Division of Design of Experiments, ICAR-Indian Agricultural Statistics Research Institute, Pusa, New Delhi 110 012, India., IN
3 Division of Fishery Resources Assessment, Economics and Extension, ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India., IN
Source
Current Science, Vol 124, No 9 (2023), Pagination: 1053-1057Abstract
Integrated farming system (IFS) approach is a powerful tool for ensuring the livelihood security of small and marginal farmers. The precision of IFS experiments can be enhanced using statistical and computational tools. Two-part designs are helpful in selecting the best possible components in IFS. They involve two groups of treatment arranged in incomplete blocks with respect to both groups, and the concurrence of treatment pairs within and between groups is constant. The fusion of two incomplete block designs in a systematic manner can yield two-part designs. Further, for situations where certain experimental units are not available, two-part structurally incomplete designs are proposed.Keywords
Block Designs, Integrated Farming System, Live-Lihood Security, Small and Marginal Farmers, Two-Part Designs.Full Text
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 :89 |
PDF Views:53
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.Full Text
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