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Manjeet,
- The Immigrant Experience in Jhumpa Lahiri's The Unaccustomed Earth
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Authors
Manjeet
1
Affiliations
1 Department of English, Adarsh Mahila Mahavidyalaya, Bhiwani, Haryana, IN
1 Department of English, Adarsh Mahila Mahavidyalaya, Bhiwani, Haryana, IN
Source
International Journal of Literary Studies, Vol 2, No 2 (2012), Pagination: 93-96Abstract
No Abstract
- Revisiting Mythology: A Study of Divakaruni's Palace of Illusion
Abstract Views :275 |
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Authors
Manjeet
1
Affiliations
1 Department of English, Adarsh Mahila Mahavidyalya, Bhiwani, IN
1 Department of English, Adarsh Mahila Mahavidyalya, Bhiwani, IN
Source
International Journal of Literary Studies, Vol 2, No 3 (2012), Pagination: 176-177Abstract
No Abstract- Raja Rao's Kanthapura: A representation of Indian Spirit
Abstract Views :179 |
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Authors
Manjeet
1
Affiliations
1 Department of English, Singhania University, Pacheri Beri, Jhunjunu, Rajasthan, IN
1 Department of English, Singhania University, Pacheri Beri, Jhunjunu, Rajasthan, IN
Source
International Journal of Literary Studies, Vol 1, No 1 (2011), Pagination: 13-14Abstract
No Abstract- Theme of East and West in Raja Rao's novel "The Serpent and the Rope"
Abstract Views :255 |
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Authors
Manjeet
1
Affiliations
1 Department of English, Singhania University, Pacheri Beri, Jhunjunu, Rajasthan, IN
1 Department of English, Singhania University, Pacheri Beri, Jhunjunu, Rajasthan, IN
Source
International Journal of Literary Studies, Vol 1, No 1 (2011), Pagination: 19-20Abstract
No Abstract- Attitude of Extension Personals Towards Services Provided by them for Climate Change Mitigation:A Case Study of Haryana, India
Abstract Views :250 |
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Authors
Affiliations
1 Department of Extension Education C.C.S. Haryana Agricultural University, Hisar (Haryana), IN
1 Department of Extension Education C.C.S. Haryana Agricultural University, Hisar (Haryana), IN
Source
Agriculture Update, Vol 13, No 4 (2018), Pagination: 435-439Abstract
Climate change is the burning issue all over the world and it affects almost every sector directly or indirectly. Agriculture is highly sensitive to climatic variability and weather extremes.The impacts of climate on agriculture are already seen, yet sizable gaps remain between scientific agriculture knowledge and its implication at farm level to tackle with current issue. A study was conducted to explore the services provided by extension personal specially agriculture development officers and horticulture development officers (A.D.O, H.D.O) working state agriculture department regarding to mitigate the climate change effect in agriculture, because they are main stack holder and work at grass ischolar_main level with farmers. Results showed that maximum extension personnel’s suggests adoption of suitable agronomic practices such as growing crop according local climatic condition, crop rotations, growing of soil nature based crop and best weed management. Whereas, advise for lowering CO2 emission from agriculture and introduction of new cultivation methods were poor. It implies that extension personals must be well acquainted with knowledge on climate change to effectively transfer knowledge to the farmers and field functionaries. Government should organize trainings which needs to be imparted by leading institutes working on climate change to the extension personnel working in SAD.Keywords
Extension, Agriculture, Climate Change, Mitigation.References
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- Hine, R. and Pretty, J. (2008). Organic agriculture and food security in Africa. Geneva and New York, United Nation Conference on Trade and Development (UNCTD) and United Nation Environment Progarrme (UNEP).
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- Lodhiyal, N. (2011). People participation in conservation and re-generation of natural resources of watersheds. J. UGC-ASC Nainital., 5 (1): 82-113 .
- Mishra, U.,Torn, S., Margaret, Masnet, E., Ogle, M. and Stephen (2012). Improving regional soil carbon inventories: combining the IPCC carbon inventory method with regression krigin. Geodema., 189 (190) : 288-295.
- Sarkar, S. and Padaria, R.N. (2010). Farmers awareness and risk perception about climate change in costal ecosystem of West Bengal. Indian Res. J. Extn. Edu., 10 (2): 32-38.
- Singh, N., Finnegan, J. and Levin, K. (2016). MRV 101: Understanding Measurement, Reporting, and Verification of Climate Change Mitigation. Working Paper. Washington DC: World Resources Institute. Available online at http:// www.wri.org/mrv101.
- Srinivas, K. and Sridevi, S. (2005). Role of soil processes in global climate change, A review. Agric.Review., 26 (1) : 27-38.
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- EBLUP Estimate of Crop Yield at Sub-district Level in Hisar District, Haryana, India using MODIS/terra Data
Abstract Views :224 |
PDF Views:79
Authors
Affiliations
1 Department of Mathematics and Statistics, CCS Haryana Agricultural University, Hisar 125 004, IN
2 Department of Agricultural Meteorology, CCS Haryana Agricultural University, Hisar 125 004,, IN
1 Department of Mathematics and Statistics, CCS Haryana Agricultural University, Hisar 125 004, IN
2 Department of Agricultural Meteorology, CCS Haryana Agricultural University, Hisar 125 004,, IN
Source
Current Science, Vol 119, No 12 (2020), Pagination: 1982-1989Abstract
The present study was carried out to develop im-proved crop yield estimates for rice and wheat crops through the Empirical Best Linear Unbiased Predic-tion (EBLUP) procedure via the Fay–Herriot area level model at sub-district level in Hisar district. Village-wise crop cutting data and auxiliary remote sensing data (satellite imaginaries) derived from the MODIS Vegetation Indices (MOD13Q1) version 6 were used for model construction. It is noteworthy that the coef-ficient of variation of the developed EBLUP estimates was below 10% for almost all sub-districts. The study revealed a significant enhancement in the efficiency of the yield estimator in comparison to the direct estima-tor, which recommended that with the use of remote sensing data together with crop cutting experiment data, crop yield estimates can be obtained on a small-er scale than the district using existing crop cutting experiments in the district.Keywords
Crop Yield Estimation, Fay–herriot Area Level Model, MODIS/terra, NDVI, Small Area Estimation.Full Text