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Singh, N. P.
- The Mungbean Genome Sequence:A Blueprint for Vigna Improvement
Abstract Views :266 |
PDF Views:76
Authors
Affiliations
1 Division of Plant Biotechnology, ICAR-Indian Institute of Pulses Research, Kanpur 208 024, IN
1 Division of Plant Biotechnology, ICAR-Indian Institute of Pulses Research, Kanpur 208 024, IN
Source
Current Science, Vol 111, No 7 (2016), Pagination: 1144-1145Abstract
Mungbean (Vigna radiata L.) (family Fabaceae) is a diploid (2n = 2x = 22) pulse crop, cultivated predominantly in South East Asia. The genus Vigna also contains several major agriculturally important legumes like black gram (V. mungo), rice bean (V. umbellata), moth bean (V. aconitifolia) and adzuki bean (V. angularis). The grains are rich in protein and minerals and hence form important component of human diet. Mung bean is reported to be domesticated in India approx. 4,000-6,000 years ago.Full Text
- Coping with Hailstorm in Vulnerable Deccan Plateau Region of India:Technological Interventions for Crop Recovery
Abstract Views :209 |
PDF Views:71
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.Full Text
References
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- 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.
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- 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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- Biondi, F. A., Figholia, A., Indiati, R. and Izza, C., Effects of fertilization with humic acids on soil and plant metabolism: a multidisciplinary approach. Note III: phosphorus dynamics and behaviour of some plant enzymatic activities. In Humic Substances in the Global Environment and Implications on Human Health (eds Senesi, N. and Miano, T. M.), Elsevier, New York, 1994, pp. 239–244.
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- Motaghi, S. and Tayeb, S. N., The effect of different levels of humic acid and potassium fertilizer on physiological indices of growth. Int. J. Biosci., 2014, 5(2), 99–105; doi:10.12692/ijb/5.2.99-105.
- Frink, C. R., Waggoner, P. E. and Ausubel, J. H., Nitrogen fertilizer: retrospect and prospect. Proc. Natl. Acad. Sci., 1999, 96, 1175–1180; doi:10.1073/ pnas.96.4.1175.
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- Vazirimehr, M. R. and Rigi, K., Effect of salicylic acid in agriculture. Int. J. Plant. Anim. Environ. Sci., 2014, 4(2), 291–296.
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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.
- Singh, B. and Usha, K., Salicylic acid induced physiological and biochemical changes in wheat seedlings under water stress. Plant Growth Regul., 2003, 39, 137–141; doi:10.1023/A:1022556103536.
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- Lakkineni, K. C., Rane, J., Kumar, P. A. and Abrol, Y. P., Thiol compounds support nitrate reductase activity in vivo in the leaves of Brassica campestris. Indian J. Exp. Biol., 1995, 34, 387–389.
- Sivakumar, M. V. K., Motha, R. P. and Das, H. P., Natural Disaster and Extreme Events in Agriculture: Impacts and Mitigation. Springers Science and Business Media, 2005, p. 367.
- Chaum, S., Siringam, K., Juntawong, N. and Kirdmanee, C., Water relations, pigment stabilization, photosynthetic abilities and growth improvement in salt stressed rice plants treated with exogenous potassium nitrate application. Int. J. Plant Prod., 2012, 4(3), 187–198.
- Garg, B. K., Burman, U. and Kathju, S., Influence of Thiourea on photosynthesis, nitrogen metabolism and yield of clusterbean (Cyamopsistetragonoloba (L.) Taub.) under rainfed conditions of Indian Arid Zone. Plant Growth Regul., 2006, 48(3), 237–245.
- Sivasankar, A., Lakkineni. K. C., Rane, J., Kumar, P. A., Nair, T. V. R. and Abrol, Y. P., Photosynthetic characteristics of urea-treated wheat (Triticum aestivum L.). J. Plant Nutr., 1995, 18, 2213–2217.
- Agriculture Development-Based Mapping of Agro-Ecological Sub-Regions and its Implications for Doubling Farmers’ Income in India
Abstract Views :226 |
PDF Views:73
Authors
Affiliations
1 National Institution for Transforming India (NITI Aayog), New Delhi 110 001, IN
2 ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, IN
3 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad 500 059, IN
1 National Institution for Transforming India (NITI Aayog), New Delhi 110 001, IN
2 ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, IN
3 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad 500 059, IN
Source
Current Science, Vol 117, No 2 (2019), Pagination: 282-287Abstract
Prioritizing and targeting less developed regions is one of the multi-pronged strategies for doubling farmers’ income (DFI) in India. Using an indicator approach, the present study assessed and mapped agro-ecological sub-regions (AESRs) based on ten indicators representing production, infrastructure, information, marketing and income of the farmers. On the basis of the composite index of agriculture development, AESR 9.1 and AESR 1.1 were found to be the most and the least developed regions respectively. Further, the potential districts for each of the less-developed AESRs have been identified for greater prudency in planning. The study concludes that for achieving the target of DFI within the stipulated time-frame, it is imperative to mainstream AESR-based planning in technological development and dissemination. The evidences revealed large and equitable response of the efforts targeted towards less-developed regions.Keywords
Agro-Ecological Sub-Regions, Agricultural Development, Characterization and Mapping, Doubling Farmers’ Income.Full Text
References
- Chand, R., Doubling Farmers’ Income: Rationale, Strategy, Pro-spects and Action Plan. NITI Policy Paper 01/2017, New Delhi, NITI Aayog, Government of India, 2017.
- MoA&FW, Status of Farmers’ Income: Strategies for Accelerated Growth. Report of the Committee on Doubling Farmers’ Income (Volume II), Department of Agriculture, Cooperation and Farm-ers’ Welfare, Ministry of Agriculture & Farmers’ Welfare, 2017.
- Krishnan, A. and Singh, M., Soil climatic zones in relation to cropping patterns. In Proceedings of the Symposium on Cropping Patterns, Indian Council of Agricultural Research, New Delhi, 1968, pp. 172–185.
- Murthy, R. S. and Pandey, S., Delineations of agro-ecological re-gions of India. In Paper presented in Commission V, 11th Con-gress of Inter-departmental Science Students’ Society, Edmonton, Canada, 19–27 June 1978.
- Planning Commission of India, Agro-climatic Zones of India, Annual Report, 1989–90, Government of India, pp. 39–40.
- Sehgal, J., Mandal, D. K., Mandal, C., Vadivelu, S., Agro-ecological regions of India 2nd edn, NBSS&LUP, Publ. No. 24, ICAR-National Bureau of Soil Survey and Land Use Planning, Nagpur, 1992, p. 130.
- Mandal, C., Mandal, D. K., Bhattacharyya, T., Sarkar, D. and Pal, D. K., Revisiting agro-ecological sub regions of India – a case study of two major food production zones. Curr. Sci., 2014, 107(9), 1519–1536.
- Bhattacharyya, T., Mandal, C., Mandal, D. K., Prasad, J., Tiwari, P., Venugopalan, M. V. and Pal, D. K., Agro-eco sub-region-based crop planning in the black soil regions and Indo-Gangetic plains-application of soil information system. Proc. Indian Natl. Sci. Acad., 2015, 81(5), 1151–1170.
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- Porosity Prediction from Offshore Seismic Data of F3 Block, the Netherlands using Multi-Layer Feed-Forward Neural Network
Abstract Views :235 |
PDF Views:99
Authors
Affiliations
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi 221 005, IN
2 Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221 005, IN
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi 221 005, IN
2 Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 119, No 10 (2020), Pagination: 1652-1662Abstract
In the present study, seismic and well log information is incorporated with a multi-layer feed-forward neural network (MLFN) to predict porosity in the inter-well region. The aim of this study is to estimate a relationship between porosity and impedance to characterize the reservoir, if any, in the offshore F3 block, the Netherlands. MLFN is used to generate a connection between porosity logs and a set of seismic attributes, which are further used for porosity prediction. Modelbased inversion is employed to produce an acoustic impedance volume, which is a reliable technique for quantitative estimation of reservoir characteristics and acoustic impedance. The model-based inversion results indicate that the acoustic impedance (AI) in the region varies from 2500 to 6200 m/s*g/cm3, which is comparatively low and indicates loose formation. Thereafter, AI along with other attributes estimated from seismic data, is used as an input in MLFN, and porosity is predicted. The technique is first implemented on the traces close to well locations, and the findings are correlated with well log information, and after appropriate matching, the entire seismic segment is inverted for porosity. The results indicate that the porosity varies from 0.07 to 0.40. Further, a relationship between predicted porosity and inverted impedance is derived to represent the connection between these two parameters in the region. Moreover, based on this study, it is concluded that there is no significant reservoir in the region. However, as the analyses are performed for a specific range of data, it is possible that other parts of the area may have a different stratigraphy and possibility of the primary reservoir in the area.Keywords
Acoustic Impedance, Multi-layer Feed-forward Neural Network Reservoir, Porosity, Seismic Inversion.Full Text
- Factors Hindering the Adoption of Innovations in the Arid Agro-Ecosystems of India
Abstract Views :48 |
PDF Views:26
Authors
Affiliations
1 SK Rajasthan Agricultural University, Bikaner 334 006, IN
2 Ministry of Agriculture and Farmers Welfare, New Delhi 110 001, IN
3 Ch. Charan Singh National Institute of Agricultural Marketing, Jaipur 302 033, IN
1 SK Rajasthan Agricultural University, Bikaner 334 006, IN
2 Ministry of Agriculture and Farmers Welfare, New Delhi 110 001, IN
3 Ch. Charan Singh National Institute of Agricultural Marketing, Jaipur 302 033, IN
Source
Current Science, Vol 125, No 9 (2023), Pagination: 983-988Abstract
This study deals with the factors hindering the adoption of innovations in the arid agro-ecosystems of India. Adoption of agricultural technologies helps increase agricultural output, which can impact poverty levels and environmental degradation. The present study was conducted in Rajasthan, India, to identify the technology adoption of agricultural households and various socio-economic and socio-personal factors affecting the same. Among several coping strategies for climate vulnerability, other than a shift towards rainfed crops, reducing the number of irrigations, deepening existing wells and advancing or delaying irrigation were common in the arid ecosystems. Some important policy measures have been drawn from this study. First, the sustainable development of groundwater resources, particularly in the low-productive eastern region, would go a long way in improving agricultural productivity in the country. Agricultural productivity can also be improved by increasing fertilizer use. Second, it proves cost-reducing technologies and creates awareness of better resource-saving options for better returns. Finally, advisory services and the availability of extension personnel are important in rural development.Keywords
Adoption of Innovations, Agricultural Technologies, Arid Agro-Ecosystems, Rural Development.Full Text
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