Your search found 31 records
1 Maithani, B. P. 1988. Strategy for rural development in the north-eastern region. Journal of Rural Development, 7(2):193-212.
(Location: IWMI-HQ Call no: PER Record No: H04972)
2 Sharma, U. C.; Prasad, R. N.; Sonowal, D. K. 1998. An indigenous technique of soil and water conservation in North Eastern Region: The Zabo system of farming. In Bhushan, L. S.; Abrol, I. P.; Rao, M. S. R. M. (Eds.), Soil and water conservation: Challenges and opportunities - Volume 2. New Delhi, India: Oxford & IBH Publishing Co. Pvt. Ltd. pp.969-975.
(Location: IWMI-HQ Call no: 631.4 G000 BHU Record No: H022742)
3 Trivedy, R. K. (Ed.) 2000. Pollution and biomonitoring of Indian Rivers. Jaipur, India: ABD Publishers. 344p.
(Location: IWMI-HQ Call no: 574.526323 G635 TRI Record No: H028408)
4 Barah, B. C. (Ed.) 2001. Prioritization of strategies for agricultural development in Northeastern India. New Delhi, India: National Centre for Agricultural Economics and Policy Research (NCAP) xvii, 103p. (NCAP proceedings 9)
(Location: IWMI-HQ Call no: 338.1 G635 BAR Record No: H030077)
5 Pandey, S.; Barah, B. C.; Villano, R. A.; Pal, S. (Eds.) 2000. Risk analysis and management in rainfed rice systems – Limited Proceedings of the NCAP/IRRI Workshop on Risk Analysis and Management in Rainfed Rice Systems, National Centre for Agricultural Economics and Policy Research, New Delhi, India, 21- 23 September 1998. Los Baños, Philippines: IRRI. xi, 196p. (IRRI limited proceedings no.5)
(Location: IWMI-HQ Call no: 633.18 G570 PAN Record No: H031053)
6 Dolui, A. K.; Bhattacharjee, S. 2003. Nature of soil acidity in relation to properties and lime requirement of some inceptisols. Pedosphere, 13(2):181-188.
(Location: IWMI-HQ Call no: P 6307 Record No: H031730)
7 Goswami, C. 2002. Agricultural land use in the plains of Assam. Economic and Political Weekly, 37(49):4891-4893.
(Location: IWMI-HQ Call no: P 6506 Record No: H032757)
8 Thakuria, K. 2005. Introduction of forage crops in rice ecosystem. Indian Farming, 54(11):4-5.
(Location: IWMI-HQ Call no: P 7342 Record No: H037046)
9 Goyari, P. 2005. Flood damages and sustainability of agriculture in Assam. Economic and Political Weekly, 40(26):2723-2729.
(Location: IWMI-HQ Call no: P 7435 Record No: H037642)
10 Mukherjee, A. B.; Bhattacharya, P.; Jacks, G.; Banerjee, D. M.; Ramanathan, A. L.; Mahanta, C.; Chandrashekharam, D.; Chatterjee, D.; Naidu, R. 2006. Groundwater arsenic contamination in India. In Naidu, R.; Smith, E.; Owens, G.; Bhattacharya, P.; Nadebaum, P. (Eds.), Managing arsenic in the environment: From soil to human health. Collingwood, Australia: CSIRO. pp.553-593.
(Location: IWMI-HQ Call no: 615.925715 G000 NAI Record No: H038363)
(Location: IWMI-HQ Call no: PER Record No: H038461)
12 Sarkar, A. K.; Kundu, D. K.; Das, D. K.; Baruah, T. C. 2006. Soil and water quality vis-a-vis agricultural management practices in eastern India. In Indian Society of Soil Science. International Conference on Soil, Water and Environmental Quality: Issues and Strategies, Proceedings, New Delhi, India, 28 January – 1 February 2005. New Delhi, India: Indian Society of Soil Science. pp.200-215.
(Location: IWMI-HQ Call no: 333.91 G635 IND Record No: H038938)
13 Reddy, M. V. 2009. User organizations as a demand management option: potentials, problems and prospects. In Saleth, Rathinasamy Maria (Ed.). Strategic Analyses of the National River Linking Project (NRLP) of India, Series 3: promoting irrigation demand management in India: potentials, problems and prospects. Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.147-169.
(Location: IWMI HQ Call no: IWMI 333.9162 G635 SAL Record No: H042164)
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14 Shah, Tushaar; Dasgupta, A.; Chaubey, R.; Satpathy, M.; Singh, Y. 2009. Crop per volume of diesel?: the energy-squeeze on India's small-holder irrigation. In Mukherji, Aditi; Villholth, K. G.; Sharma, Bharat R.; Wang, J. (Eds.) Groundwater governance in the Indo-Gangetic and Yellow River basins: realities and challenges. London, UK: CRC Press. pp.265-277. (IAH Selected Papers on Hydrogeology 15)
(Location: IWMI HQ Call no: IWMI 631.7.6.3 G570 MUK Record No: H042234)
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(Location: IWMI HQ Call no: 553.79 G000 BHA Record No: H042595)
(3.27 MB)
16 Goyari, P. 2008. Scarcity in the midst of plenty: irrigation development for water abundant Assam. In Kumar, M. Dinesh (Ed.). Managing water in the face of growing scarcity, inequity and declining returns: exploring fresh approaches. Proceedings of the 7th Annual Partners Meet, IWMI TATA Water Policy Research Program, ICRISAT, Patancheru, Hyderabad, India, 2-4 April 2008. Vol.2. Hyderabad, India: International Water Management Institute (IWMI), South Asia Sub Regional Office. pp.587-601.
(Location: IWMI HQ Call no: IWMI 631.7 G635 KUM Record No: H042922)
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The paper attempts to examine the extent of irrigation development in the water abundant state of Assam which is disturbed by frequent floods almost every year. Although Assam has many sources of water, only a small fraction of total water resources has been utilized in gainful economic activities. While existing irrigation facilities are not enough for agriculture sector, large portion of irrigation potential already created remains unutilized. Added to it, excess rainwater in the form of frequent floods every year in the kharif season destroys standing crops and damages irrigation facilities, create water-logging, soil erosion and affect large crop areas. The rabi season receives low or almost zero rainfall. Therefore, the future plans on the development of irrigation potentials should give more emphasis on (i) development of ground water based on installation of shallow tube wells, borewells etc., (ii) development of surface flow or lift irrigation through construction of small dams on the naturally flowing water ways and distributor channels, and (iii) harvesting of rainwater during rainy season.
17 Raman, S. 2012. Potential of micro-irrigation in India: a statewise assessment. In Palanisami, Kuppannan; Raman, S.; Mohan, Kadiri (Eds.). Micro-irrigation: economics and outreach. New Delhi, India: Macmillan. pp.11-26.
(Location: IWMI HQ Call no: IWMI Record No: H044864)
(Location: IWMI HQ Call no: e-copy only Record No: H045711)
Can the System of Rice Intensification be the answer to meet the country’s future rice demand? A macro-level study covering 13 major rice-growing states indicates that fields with SRI have a higher average yield compared to non-SRI fields. Out of the four core SRI components typically recommended, 41% adopted one component, 39% adopted two to three components, and only 20% adopted all the components. Full adopters recorded the highest yield increase (31%), but all adopters had yields higher than those that used conventional practices. They also had higher gross margins and lower production costs compared to non-SRI fields. Though the rice yield of the country can significantly increase under SRI and modified SRI practices, there are major constraints that have to be tackled before this can be achieved.
(Location: IWMI HQ Call no: e-copy only Record No: H047096)
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20 Rajora, Chesta. 2019. Climate change vulnerability assessment with a focus on agriculture sector - a district level study of Assam and Odisha. Project Dissertation submitted to the Department of Energy and Environment, TERI School of Advanced Studies, New Delhi, India, in partial fulfillment of the requirement for the Master of Science in Environmental Studies and Resource Management. 51p.
(Location: IWMI HQ Call no: e-copy only Record No: H049473)
(1.49 MB)
Climate change is posing a serious challenge for developing countries like India. The agriculture sector is one of the most vulnerable sectors to climate change. In turn, it is making food security and livelihoods of smallholders, more vulnerable to climate change. This study adopted the IPCC’s integrated indicator approach for assessing the vulnerability of the agriculture sector to climate change in Assam and Odisha by means of creating a vulnerability index and by comparing the spatial profile of vulnerability across the districts of the two states. Several socio-economic and biophysical indicators were identified and categorized into 3 components of vulnerability: sensitivity, exposure and, adaptive capacity. Running PCA on these indicators generated weights. Since, Principal Component 1 explains the maximum variance in the dataset, the correlation of indicators with Principal Component 1 has been used for computing the composite climate vulnerability indices. The districts are ranked on the basis of their performance on indices based on 3 components of vulnerability and composite vulnerability. District-wise spatial vulnerability profile has been created to identify and prioritize the most vulnerable districts. The results of the study indicate that the most vulnerable districts of Assam are – Tinsukia, Karbi Anglong, and Dima Hasao; and that of Odisha are - Nabarangpur, Kandhamal, Mayurbhanj, Sundargarh, Malkangiri, Nuapada, Kalahandi, and Koraput. The predominant indicators contributing to vulnerability have been identified which suggest that vulnerability in Assam is more due to high exposure while in Odisha, it is largely attributed to low adaptive capacity and high sensitivity. There exists a large difference in the extent of vulnerability among the districts and there is a need to develop specific policy interventions to address climate change at the district level in order to reduce the vulnerability of smallholders and to increase the resilience of the agriculture sector to climate change.
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