Your search found 7 records
1 Mohanty, S.; Singh, R. 1996. Determination of soil hydrologic properties under simulated rainfall condition. Agricultural Water Management, 29(3):267-281.
Soil properties ; Hydrology ; Rain ; Simulation models ; Soil water
(Location: IWMI-HQ Call no: PER Record No: H018215)

2 Srivastava, R. C.; Mohanty, S.; Sahoo, N.; Pattnaik, S.; Sahoo, D. 2002. Land and water management strategies for Kalahandi District of Orissa. In Palanisami, K.; Kumar, D. S.; Chandrasekaran, B (Eds.), Watershed management: Issues and policies for 21st century. New Delhi, India: Associated Publishing Company. pp.57-64.
Land management ; Water management ; Planning ; Models ; Rice / India / Orissa / Kalahandi District
(Location: IWMI-HQ Call no: 333.91 G635 PAL Record No: H032840)

3 Srivastava, R. C.; Verma, H. C.; Mohanty, S.; Pattnaik, S. K. 2003. Investment decision model for drip irrigation system. Irrigation Science, 22(2):79-85.
Drip irrigation ; Computer models ; Decision support tools / India
(Location: IWMI-HQ Call no: PER Record No: H032903)

4 Chandna, P. K.; Nelson, A.; Khan, M. Z. H.; Hossain, M. M.; Rana, M. S.; Mondal, M.; Mohanty, S.; Humphrey, L.; Rashid, F.; Tuong, T. P. 2015. Targeting improved cropping systems in the coastal zone of Bangladesh: a decision tree approach for mapping recommendation domains. In Humphreys, E.; Tuong, T. P.; Buisson, Marie-Charlotte; Pukinskis, I.; Phillips, M. (Eds.). Proceedings of the CPWF, GBDC, WLE Conference on Revitalizing the Ganges Coastal Zone: Turning Science into Policy and Practices, Dhaka, Bangladesh, 21-23 October 2014. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.522-541.
Cropping systems ; Agricultural development ; Coastal area ; Spatial distribution ; Analysis ; Mapping ; Land use ; High yielding varieties ; Rice ; Seasonal cropping ; Transplanting ; Water management ; Surface water ; Groundwater ; Soil salinity ; Brackish water ; Aquaculture ; Shrimp culture ; Reclaimed land / Bangladesh / Barisal
(Location: IWMI HQ Call no: IWMI Record No: H047211)
https://cgspace.cgiar.org/bitstream/handle/10568/66389/Revitalizing%20the%20Ganges%20Coastal%20Zone%20Book_Low%20Version.pdf?sequence=1
https://vlibrary.iwmi.org/pdf/H047211.pdf
(0.65 MB) (11.9 MB)

5 Mottaleb, K. A.; Gumma, M. K.; Mishra, A. K.; Mohanty, S.. 2015. Quantifying production losses due to drought and submergence of rainfed rice at the household level using remotely sensed MODIS data. Agricultural Systems, 137:227-235. [doi: https://doi.org/10.1016/j.agsy.2014.08.014]
Rainfed farming ; Rice ; Crop production ; Crop losses ; Drought ; Submergence ; Remote sensing ; Satellite surveys ; Models ; Seasonal cropping ; Households ; Farm income ; Expenditure ; Case studies / Bangladesh
(Location: IWMI HQ Call no: e-copy only Record No: H047576)
https://vlibrary.iwmi.org/pdf/H047576.pdf
(0.88 MB)
Combining remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data with Bangladesh Household Income and Expenditure Survey (HIES) data, this study estimates losses in rainfed rice production at the household level. In particular, we estimated the rice areas affected by drought and submergence from remotely sensed MODIS data and rice production from Household Income and Expenditure Survey (HIES) data for 2000, 2005 and 2010. Applying two limit Tobit estimation method, this study demonstrated that both drought and submergence significantly affected rice production. Findings reveal that on average, a one percent increase in drought affected area at district level reduces Aman season rice production by approximately 1382 kilograms per household on average, annually. Similarly, a one percent increase in drought area reduces rainfed Aus season rice production by approximately 693 kilograms per household, on average, annually. Based on the findings the paper suggests disseminating and developing drought and submergence tolerant rice and also short duration rice varieties to minimize loss caused by drought and submergence in Aus and Aman rice seasons.

6 Kumar, A.; Nayak, A. K.; Mohanty, S.; Das, B. S. 2016. Greenhouse gas emission from direct seeded paddy fields under different soil water potentials in eastern India. Agriculture, Ecosystems and Environment, 228:111-123. [doi: https://doi.org/10.1016/j.agee.2016.05.007]
Greenhouse gases ; Carbon dioxide ; Methane ; Nitrous oxide ; Emission reduction ; Direct sowing ; Paddy fields ; Climate change ; Water management ; Water productivity ; Irrigation scheduling ; Strategies ; Crop yield ; Soil properties ; Soil water potential ; Statistical methods / Eastern India / Cuttack
(Location: IWMI HQ Call no: e-copy only Record No: H047868)
https://vlibrary.iwmi.org/pdf/H047868.pdf
(2.46 MB)
In the anticipated water scarcity and global warming scenario; it is imperative to identify suitable irrigation scheduling strategy in paddy fields for increasing water productivity and mitigating greenhouse gas (GHG) emissions. We conducted a two year (dry season of 2014 and 2015) field experiment for irrigation scheduling based on tensiometric measurement of soil water potential (SWP)in order to quantify temporal and seasonal variations in GHGs emissions and their trade off relationship at five levels of SWPs viz. SWP 1 (-20 kPa), SWP 2 (-30 kPa), SWP 3 (-40 kPa), SWP 4 (-50 kPa) and SWP 5 (-60 kPa), in addition to the traditional practice of growing flooded rice (CF). Fluxes of methane (CH4) and nitrous oxide (N2O) during the growing period were measured using manual closed chamber-gas chromatograph and the carbon dioxide (CO2) flux was measured using an infrared CO2 analyzer. A significant decrease in seasonal cumulative CH4 emission (30–60.2%) was recorded at different SWPs as compared to CF. In contrast, emission of CO2 and N2O increased by 12.9–26.6% and 16.3–22.1% respectively at SWPs 1 and 2; conversely, a significant decrease in emissions of these gases were observed at higher SWPs (SWPs 3–5). Among different SWP treatments, irrigation scheduling at SWP 2 maintained yield at par with CF with water saving of 32.9–41.1% and reduced CH4 emission (43–44.1%). However, due to increase in CO2 and N2O emission at SWP 2, there was no significant reduction in global warming potential (GWP) as compared with CF. Among different rice growth stages GHGs emission were predominant during vegetative growth stage. Regression relationship of GHGs emission with key soil parameters was employed to predict seasonal emissions of GHGs from paddy field. The results of this study suggest that scheduling irrigation at SWP 2 can be an effective strategy in order to save water, maintain rice yield and mitigate CH4 emission from direct seeded paddy fields in eastern India, however further research is needed to identify suitable management strategy for reducing CO2 and N2O emissions at SWP 2 in order to reduce the GWP.

7 Mohanty, S.; Mohanty, R. K.; Mandal, K. G.; Ghosh, S.; Rautaray, S. K.; Kumar, A. 2016. Impact of water resources development and technology introductions on livelihood of farmers in eastern India: a case study. Irrigation and Drainage, 65(5):724-733. [doi: https://doi.org/10.1002/ird.2014]
Water resources development ; Farmers ; Living standards ; Integrated management ; Farming systems ; Highlands ; Cultivation ; Agricultural production ; Ponds ; Technology transfer ; Water use ; Multiple use ; Impact assessment ; Diversification ; Aquaculture ; Performance evaluation ; Economic analysis ; Models ; Rural areas ; Case studies / eastern India / Odisha / Dhenkanal
(Location: IWMI HQ Call no: e-copy only Record No: H047898)
https://vlibrary.iwmi.org/pdf/H047898.pdf
(2.62 MB)
Agricultural technology introductions were carried out and their impact was studied in two clusters of villages in the Dhenkanal Sadar and Odapada blocks of Dhenkanal District in Odisha in the eastern Indian plateau region. Ten water-harvesting structures (WHSs) were constructed in two clusters of villages in the farmers’ fields on a participatory basis. Harvested water in WHSs was used for multiple purposes, viz. agriculture, fish culture, on-dyke horticulture, vegetable cultivation, poultry, dairy and mushroom cultivation; integrated farming system (IFS) models were developed. Adequate training was also given to the farmers. The net income from the integrated farming systems varied widely between Rs. 16 100 and 251 000 ha 1 . Poultry farming in the uplands and intensive cultivation around the embankments of the ponds were found to be effective in increasing the net return from the IFS models. Impact analysis of the water resources development and technology introductions at the study sites was carried out by analysing the comparative position of physical, social, financial, human and natural assets of the farmers before and after adoption of the introductions. The overall standard of living of the study farmers increased from 13.5 to 17.1 on a scale of 5 to 25, respectively.

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