Your search found 5 records
1 Tiwari, K. N.; Mal, P. K.; Singh, R. M.; Chattopadhyay, A. 1998. Response of okra (Abelmoschus esculentus (L.) Moench.) to drip irrigation under mulch and non-mulch conditions. Agricultural Water Management, 38(2):91-102.
Drip irrigation ; Water requirements ; Irrigation requirements ; Vegetables ; Plant growth ; Cost benefit analysis / India / West Bengal / Kharagpur
(Location: IWMI-HQ Call no: PER Record No: H023633)
2 Singh, D. K.; Jaiswal, C. S.; Reddy, K. S.; Singh, R. M.; Bhandarkar, D. M. 2001. Optimal cropping pattern in a canal command area. Agricultural Water Management, 50(1):1-8.
Models ; Wheat ; Rice ; Sugarcane ; Water availability ; Irrigation requirements ; Evapotranspiration ; Water requirements / India / Uttar Pradesh / Bareilly / Sharda Canal Command / Richha Branch
(Location: IWMI-HQ Call no: PER Record No: H028394)
3 Singh, R. M.; Singh, K. K.; Singh, S. R. 2006. Falling water tables in a sloping/nonsloping aquifer under various initial water table profiles. Agricultural Water Management, 82(1/2):210-222.
(Location: IWMI-HQ Call no: PER Record No: H038686)
4 Srivastava, P. K.; Singh, R. M.. 2016. GIS based integrated modelling framework for agricultural canal system simulation and management in Indo-Gangetic plains of India. Agricultural Water Management, 163:37-47. [doi: https://doi.org/10.1016/j.agwat.2015.08.025]
Irrigation systems ; Irrigation canals ; GIS ; Models ; Groundwater management ; Groundwater table ; Water depletion ; Water supply ; Water use efficiency ; Conjunctive use ; Water requirements ; Rainfall-runoff relationships ; Soil moisture ; Intensive farming ; Cropping patterns ; Land use ; Socioeconomic development / India / Uttar Pradesh / Indo-Gangetic Plain
(Location: IWMI HQ Call no: e-copy only Record No: H047740)
(3.11 MB)
Management of canal system for agricultural production is challenging. The work presents GIS based integrated modelling, which integrates soil moisture accounting and irrigation water requirement module, rainfall–runoff module, system loss module and groundwater flow system module. Developed model is employed to evaluate different water management scenarios such as change in rainfall sequence (wet, normal and dry season), change in canal water supply, impact of canal lining and impact of land use changes including their socio–economic implications. The application of model is illustrated with real application in a part of Indo-Gangetic plain of Uttar Pradesh in India. It has been demonstrated that canal water use efficiency in diversion canal systems can be increased up to 58 percent.
5 Kumar, P.; Singh, S. S.; Pandey, A. K.; Singh, R. M.; Srivastava, P. K.; Kumar, M.; Dubey, S. K.; Sah, U.; Nandan, R.; Singh, S. K.; Agrawal, P.; Kushwaha, A.; Rani, M.; Biswas, J. K.; Drews, M. 2021. Multi-level impacts of the COVID-19 lockdown on agricultural systems in India: the case of Uttar Pradesh. Agricultural Systems, 187:103027. (Online first) [doi: https://doi.org/10.1016/j.agsy.2020.103027]
Farming systems ; COVID-19 ; Pandemics ; Agricultural sector ; Economic impact ; Food systems ; State intervention ; Sustainable development ; Food security ; Markets ; Farmers ; Labour ; Communities ; Policies ; Case studies / India / Uttar Pradesh
(Location: IWMI HQ Call no: e-copy only Record No: H050147)
(3.65 MB)
When on March 24, 2020 the Government of India ordered a complete lockdown of the country as a response to the COVID-19 pandemic, it had serious unwanted implications for farmers and the supply chains for agricultural produce. This was magnified by the fact that, as typically in developing countries, India's economy is strongly based on farming, industrialization of its agricultural systems being only modest. This paper reports on the various consequences of the COVID-19 lockdown for farming systems in India, including the economy, taking into account the associated emergency responses of state and national governments. Combining quantitative and qualitative sources of information with a focus on the Indian state of Uttar Pradesh, including expert elicitation and a survey of farmers, the paper identifies and analyzes the different factors that contributed to the severe disruption of farming systems and the agricultural sector as a whole following the lockdown. Among other issues, our study finds that the lack of migrant labor in some regions and a surplus of workers in others greatly affected the April harvest, leading to a decline in agricultural wages in some communities and an increase in others, as well as to critical losses of produce. Moreover, the partial closure of rural markets and procurement options, combined with the insufficient supply of products, led to shortages of food supplies and dramatically increased prices, which particularly affected urban dwellers and the poor. We argue that the lessons learned from the COVID-19 crisis could fuel the development of new sustainable agro-policies and decision-making in response not only to future pandemics but also to the sustainable development of agricultural systems in India and in developing countries in general.
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