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- S. Saha
- D. Chakraborty
- S. B. Singh
- N. Chinza
- C. Lalzarliana
- S. K. Dutta
- S. Chowdhury
- T. Boopathi
- Lungmuana
- A. R. Singh
- S. V. Ngachan
- Anup Das
- R. K. Singh
- G. I. Ramkrushna
- Jayanta Layek
- A. K. Tripathi
- D. P. Patel
- D. J. Rajkhowa
- Debasish Chakroborty
- P. K. Ghosh
- S. K. Bal
- P. S. Minhas
- Yogeshwar Singh
- Mahesh Kumar
- J. Rane
- P. Suresh Kumar
- P. Ratnakumar
- N. P. Singh
- Gaurav Singhal
- Babankumar Bansod
- Lini Mathew
- Jonali Goswami
- P. L. N. Raju
Journals
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Choudhury, B. U.
- Spatial Variability in Temporal Trends of Precipitation and its Impact on the Agricultural Scenario of Mizoram
Abstract Views :222 |
PDF Views:120
Authors
S. Saha
1,
D. Chakraborty
2,
B. U. Choudhury
2,
S. B. Singh
1,
N. Chinza
3,
C. Lalzarliana
4,
S. K. Dutta
1,
S. Chowdhury
1,
T. Boopathi
1,
Lungmuana
1,
A. R. Singh
1,
S. V. Ngachan
2
Affiliations
1 ICAR Research Complex for NEH Region, Mizoram Centre, Kolasib 796 081, IN
2 ICAR Research Complex for NEH Region, Umiam 796 103, IN
3 Directorate of Economics and Statistics, and Government of Mizoram, 796 001, IN
4 Directorate of Crop Husbandry, Government of Mizoram, 796 001, IN
1 ICAR Research Complex for NEH Region, Mizoram Centre, Kolasib 796 081, IN
2 ICAR Research Complex for NEH Region, Umiam 796 103, IN
3 Directorate of Economics and Statistics, and Government of Mizoram, 796 001, IN
4 Directorate of Crop Husbandry, Government of Mizoram, 796 001, IN
Source
Current Science, Vol 109, No 12 (2015), Pagination: 2278-2282Abstract
Long-term monthly rainfall observations (1986-2014) were analysed for 12 rain-gauge stations installed at variable altitudes of Mizoram. Our objective was to assess the temporal change in the standardized precipitation index (SPI) values at different timescales using Mann-Kendall trend tests. Significant reductions in post-monsoon and winter rainfall were recorded for most of the sites. Increasing dryness during the winter months may intensify the acute water shortage in Mizoram. Our results emphasize the altitudinal insensitivity of mean monthly rainfall trend and prove the urgent need for adopting suitable water management practices to cope with the water scarcity problem to increase the resiliency of rabi agriculture in Mizoram in near future.Keywords
Agriculture, Rainfall Pattern, Standardized Precipitation Index, Spatial Variability.References
- Das, A., Ghosh, P. K., Choudhury, B. U., Patel, D. P., Munda, G. C., Ngachan, S. V. and Chowdhury, P., Climate change in northeast India: recent facts and events – worry for agricultural management. ISPRS Archives XXXVIII-8/W3 Workshop Proceedings: Impact of Climate Change on Agriculture, 2009, pp. 32–37.
- Ravindranath, N. H. et al., Climate change vulnerability profiles for North East India. Curr. Sci., 2011, 101(3), 384–394.
- Jhajharia, D., Shrivastava, S. K., Sarkar, D. and Sarkar, S., Temporal characteristics of pan evaporation trends under the humid conditions of northeast India. Agric. For. Meteorol., 2009, 149, 763–770.
- Jain, S. K., Kumar, V. and Saharia, M., Analysis of rainfall and temperature trends in northeast India. Int. J. Climatol., 2013, 33(4), 968–978.
- Saikia, U. S. et al., Shift in monsoon rainfall pattern in the North Eastern region of India post 1991. J. Agrometeorol., 2013, 15(2), 162–164.
- WMO, Standardized Precipitation Index User Guide. (eds Svoboda, M., Hayes M. and Wood, D.) WMO-No. 1090, World Meteorological Organization, Geneva, Switzerland, 2012, pp. 8–24.
- McKee, T. B., Doesken, N. J. and Kleist, J., The relationship of drought frequency and duration to time scales. In Proceedings of the IX Conference on Applied Climatology. American Meteorological Society, Boston, MA, 1993, pp. 179–184.
- Naresh Kumar, M., Murthy, C. S., Sesha Sai, M. V. R. and Roy, P. S., On the use of Standardized Precipitation Index (SPI) for drought intensity assessment. Meteorol. Appl., 2009, 16, 381–389.
- Jha, S., Sehgal, V. K., Raghava, R. M. and Sinha, M., Trend of standardized precipitation index during Indian summer monsoon season in agroclimatic zones of India. Earth Syst. Dyn. Discuss., 2013, 4, 429–449.
- Roof Water Harvesting in Hills - Innovations for Farm Diversification and Livelihood Improvement
Abstract Views :313 |
PDF Views:87
Authors
Anup Das
1,
R. K. Singh
1,
G. I. Ramkrushna
1,
Jayanta Layek
1,
A. K. Tripathi
1,
S. V. Ngachan
1,
B. U. Choudhury
1,
D. P. Patel
2,
D. J. Rajkhowa
1,
Debasish Chakroborty
1,
P. K. Ghosh
3
Affiliations
1 ICAR Research Complex for NEH Region, Umiam 793 103, IN
2 ICAR-National Institute of Abiotic Stress Management, Baramati 413 115, IN
3 ICAR-Indian Grassland and Fodder Research Institute, Jhansi 284 003, IN
1 ICAR Research Complex for NEH Region, Umiam 793 103, IN
2 ICAR-National Institute of Abiotic Stress Management, Baramati 413 115, IN
3 ICAR-Indian Grassland and Fodder Research Institute, Jhansi 284 003, IN
Source
Current Science, Vol 113, No 02 (2017), Pagination: 292-298Abstract
The north eastern region (NER) of India receives bountiful rains (>2000 mm) annually. However, there is extreme water scarcity during post- and premonsoon season (November-March). In such a situation, roof water harvesting (RWH) holds promise for multiple livelihood opportunities. RWH unit with polyfilm lined water collection tank of 37 m3 storage capacity (i.e. 5.5 x 4.5 x 1.5 m3) was demonstrated at 11 farmers fields mostly on hill tops in the Ri-Bhoi district (Meghalaya). The average demonstration area was 500 m2/farmer in the vicinity of homesteads (kitchen gardens). Volume of water harvested in a collection tank was about 53 m3 including about 16 m3 harvested during dry season due to seasonal replenishment. The cost of water harvesting was estimated at about Rs 144 and Rs 119/m3 considering lifespan of five and ten years respectively. Farmers used harvested water for diversified activities such as raising crops [maize, broccoli, French bean, laipatta (Brassica juncea), tomato, etc.] and livestock (pig or poultry) in addition to domestic use. The farmers without RWH could use land only during rainy season for crop cultivation. On an average, the net income from each RWH based model (500 m2 demonstration area) was Rs 14,910 for crop + piggery and Rs 11,410 for crop + poultry farming which was 261 and 176% higher, respectively than the normal farmers' practice. Similarly, employment and water use efficiency enhanced by 221 and 586%; and 168 and 218% under crop + piggery and crop + poultry based farming respectively.Keywords
Jalkund, Multiple Use of Water, NER Hills, Rain Water Harvesting, Silpaulin.References
- Das, A., Mohapatra, K. P., Ngachan, S. V., Amit, D., Chowdhury, S. and Datta, D., Water resource development for multiple livelihood opportunities in Eastern Himalaya. NAIP Publication no. 6. ICAR Research Complex for NEH region, Umiam, Meghalaya, 2014, p. 36.
- Goswami, D. C., Flood forecasting in the Brahmaputra River, India: a case study. In Regional Cooperation for Flood Disaster Mitigation in the Hindkush Himalayas (eds Chalise, S. R. and Shreshtha, M.), ICIMOD.Internal Report, 2002, pp. 40–48.
- Sharma, B. R., Riaz, M. V., Pant, D., Adhikary, D. L., Bhatt, B. P. and Rahman, H., Water poverty in the north-eastern hill region (India): potential alleviation through multiple–use water systemscross learnings from Nepal Hills. New Delhi, India: International Water Management Institute (IWMI-NAIP Report 1), 2010, p. 44; doi:3910/2009.200.
- Mishra, A. K. and Satapathy, K. K., Food security vis-à-vis natural resources sustainability in northeastern region of India. ENVIS Bulletin: Himalayan Ecology, 11(1): GB Pant Institute of Himalayan Environment and Development, Kosi-Katarmal, Almora, India, 2003; http://gbpihed.nic.in/envis/HTML/vol 11_1/akmishra.htm
- Saha, R., Ghosh, P. K., Mishra, V. K. and Bujarbaruah, K. M.. Low-cost micro-rainwater harvesting technology (Jalkund) for new livelihood of rural hill farmers. Curr. Sci., 2007, 92(9), 1258–1265.
- Choudhury, B. U., Das, A., Ngachan, S. V., Bordoloi, L. J. and Chowdhury, P., Trend analysis of long term weather variables in midaltitude Meghalaya, North-East India. J. Agric. Phys., 2012, 12(1), 12–22.
- Das, A. et al., Integrated agricultural development in high altitude tribal areas - a participatory watershed programme in the East Indian Himalaya. Outlook Agric., 2013, 42(2), 141–144.
- Das, A., Saha, R., Ghosh, P. K., Munda, G. C. and Patel, D. P., Rainwater harvesting through Jalkund: a low cost dug-pit-cum polythene lined structure and its diversified use in NEH Region, abstract. Agriculture and forestry sciences. 96th Indian Science Congress, NEHU, Shillong, 3–7 January 2009, p. 75.
- Das, A. et al., Multiple use of pond water for enhancing water productivity and livelihood of small and marginal farmers. Indian J. Hill Fmg., 2013, 26 (1), 29–36.
- Patel, U. R., Patel, V. A., Balya, M. I. and Rajgor, H. M., Rooftop rainwater harvesting (RRWH) at SPSV campus, Vinegar: Gujarat – a case study. Int. J. Res. Eng. Technol., 2014, 03(04), 821–825.
- Samuel, M. P. and Satapathy K. K., Concerted rainwater harvesting technologies suitable agro-ecosystems of Northeast India. Curr. Sci., 2008, 95(9), 1130–1132.
- Coping with Hailstorm in Vulnerable Deccan Plateau Region of India:Technological Interventions for Crop Recovery
Abstract Views :212 |
PDF Views:72
Authors
S. K. Bal
1,
P. S. Minhas
1,
Yogeshwar Singh
1,
Mahesh Kumar
1,
D. P. Patel
1,
J. Rane
1,
P. Suresh Kumar
1,
P. Ratnakumar
1,
B. U. Choudhury
1,
N. P. Singh
1
Affiliations
1 ICAR-National Institute of Abiotic Stress Management, Malegaon, Baramati, Pune 413 115, IN
1 ICAR-National Institute of Abiotic Stress Management, Malegaon, Baramati, Pune 413 115, IN
Source
Current Science, Vol 113, No 10 (2017), Pagination: 2021-2027Abstract
Vulnerability of agriculture to climate change is becoming increasingly apparent in recent years. During 2014 and 2015, India experienced trails of unusually widespread and untimely hailstorm events. The increased frequency of hailstorm events, especially in vulnerable ecosystem of Deccan Plateau region of India demanded appropriate measures to minimize adverse impact on agricultural crops. Therefore some of the post-hail measures including nutritional supplement, plant bio-regulators and canopy management were evaluated in field trials conducted at Maharashtra, India during 2014 and 2015. Amongst these, pruning of the hardy and indeterminate eggplant crop induced effective branches, which produced more flowers and fruits. Nitrogen supplemented with urea drenching and stress alleviating effects of salicylic acid promoted recovery in maize while drenching with humic acid along with spraying of potassium nitrate improved productivity of onion. These studies indicate the potential of technological interventions to cope with extreme events such as hailstorms.Keywords
Bio-Regulators, Canopy Management, Crop Recovery, Hail-Damaged Crops, Nutritional Supplements.References
- IPCC, Climate Change, Climate Change Impacts, Adaptation and Vulnerability, Working Group II Contribution to the Intergovernmental Panel on Climate Change Fourth Assessment Report, Summary for Policy Makers, Cambridge University Press, UK, 2007, p. 23.
- Nicolaides, K. A. et al., The impact of hail storms on the agricultural economy of Cyprus and their characteristics. Adv. Geosci., 2009, 17, 99–103.
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- Fernandes, G. W., Oki, Y., Sales, N. M., Quintini, A. V., Freitas, C. and Caires, T. B., Hailstorm impact across plant taxa: leaf fall in a mountain environment. Neotropical. Biol. Conserv., 2012, 7(1), 8–15; doi: 4013/nbc.2012.71.02.
- Bal, S. K. and Minhas, P. S., Atmospheric stressors: challenges and coping strategies. In Abiotic Stress Management for Resilient Agriculture (eds Minhas et al.), Springer, 2017, pp. 9–50; doi:10.1007/978-981-10-5744-1_2.
- Hughes, P. and Wood, R., Hail: the white plague. Weatherwise, 1993, 46, 16–21; doi:10.1080/ 00431672.1993.9930228.
- Chattopadhyay, N., Ghosh, K. and Chandras, S. V., Agrometeorological advisory to assist the farmers in meeting the challenges of extreme weather events. Mausam, 2016, 67(1), 277–288.
- Bal, S. K., Saha, S., Fand, B. B., Singh, N. P., Rane, J. and Minhas, P. S., Hailstorms: causes, damage and post-hail management in agriculture. NIASM Technical Bulletin No. 5, ICAR-National Institute of Abiotic Stress Management, Malegaon, Baramati, Pune, Maharashtra, India, 2014, pp. 44; doi:10.13140/2.1.4841.7922.
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- Boyhan, G. E., Granberry, D. M. and Kelley, W. T., Onion Production Guide, 2001, Univ. of Georgia Bul. No. 1198.
- Ratnakumar, P., Deokate, P. P., Rane, J., Jain, N., Kumar, V., Berghe, P. and Minhas, P. S., Effect of ortho-silicic acid exogenous application on wheat (Triticum aestivum L.) under drought. J. Funct. Environ. Bot., 2016, 6(1), 34–42; doi:10.5958/2231-1750.2016.00006.8.
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- Khodary, S. F. A., Effect of salicylic acid on the growth, photosynthesis and carbohydrate metabolism in salt stressed maize plants. Int. J. Agric. Biol., 2004, 6, 5–8.
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- Comparison of Parametric and Non-Parametric Methods for Chlorophyll Estimation based on High-Resolution UAV Imagery
Abstract Views :257 |
PDF Views:85
Authors
Gaurav Singhal
1,
Babankumar Bansod
2,
Lini Mathew
3,
Jonali Goswami
4,
B. U. Choudhury
5,
P. L. N. Raju
4
Affiliations
1 CSIR-Central Scientific Instruments Organization, Chandigarh 160 030, IN
2 Academy of Scientific and Innovative Research, Ghaziabad 201 002, IN
3 National Institute of Technical Teachers, Training and Research, Chandigarh 160 019, IN
4 North East Space Application Centre, Barapani 793 103, IN
5 ICAR Research Complex for NEH Region, Umiam 793 103, IN
1 CSIR-Central Scientific Instruments Organization, Chandigarh 160 030, IN
2 Academy of Scientific and Innovative Research, Ghaziabad 201 002, IN
3 National Institute of Technical Teachers, Training and Research, Chandigarh 160 019, IN
4 North East Space Application Centre, Barapani 793 103, IN
5 ICAR Research Complex for NEH Region, Umiam 793 103, IN
Source
Current Science, Vol 117, No 11 (2019), Pagination: 1874-1879Abstract
The present study provides a systematic comparison of parametric and non-parametric retrieval methods using high-resolution data provided by the unmanned aerial vehicle (UAV). We used turmeric crop reflectance data to evaluate the vegetation index (VI)-based parametric methods and compared them with linear and nonlinear non-parametric methods to build a rigorous LCC estimation model. The study demonstrates that the best-performing VI was the normalized green red difference index (GNRDI), with R2 = 0.68, RMSE = 0.13 and high processing speed of 0.08 s. With regard to non-parametric methods, almost all methods outperformed their parametric counterparts. Particularly, methods such as random forest (RF) and kernel ridge regression (KRR) showed the best performance characterized by R2 > 0.72 and RMSE ≤ 0.12 mg/g of fresh leaf weight. These nonparametric methods possessed the benefit of total spectral information utilization and enabled robust, non-linear relationship between the predictor and target variables, but computational complexity is a major drawback.Keywords
Chlorophyll, Machine Learning, Unmanned Aerial Vehicle, Vegetation Index.References
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