Refine your search
Co-Authors
- V. Jhansi Lakshmi
- I. C. Pasalu
- K. Krishnaiah
- C. A. Rama Rao
- B. M. K. Raju
- A. V. M. Subba Rao
- V. U. M. Rao
- Kausalya Ramachandran
- B. Venkateswarlu
- A. K. Sikka
- M. Srinivasa Rao
- M. Maheswari
- Ch. Srinivasa Rao
- R. Rejani
- M. Osman
- K. Srinivasa Reddy
- Manoranjan Kumar
- Prasanna Kumar
- S. P. Giri
- Brajendra
- Alok Pandey
- Himanshu Patel
- Srinivasarao
- Josily Samuel
- N. Ravi Kumar
- R. Nagarjuna Kumar
- V. V. Sumanth Kumar
- K. A. Gopinath
- N. Swapna
- S. K. Srivastava
- N. P. Singh
- Jaspal Singh
- S. J. Balaji
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Rao, K. V.
- Role of Honeydew of Rice Hoppers as a Kairomone and Nutrient to the Predatory Mirid Bugs, Cyrtorhinus lividipennis Reuter and Tytthus parviceps (Reuter) (Hemiptera: Miridae)
Abstract Views :233 |
PDF Views:120
Authors
Affiliations
1 Rice Research (ICAR), Rajendranagar, Hyderabad, 500030, IN
1 Rice Research (ICAR), Rajendranagar, Hyderabad, 500030, IN
Source
Journal of Biological Control, Vol 19, No 2 (2005), Pagination: 93-97Abstract
Honeydew of brown planthopper (BPH), whitebacked planthopper (WBPH) and green leafhopper (GLH) of rice was evaluated for its role as an attractant and nutrient to their egg predators, Cyrtorhinus lividipennis Reuter and Tytthus parviceps (Reuter). The mirid bugs were attracted in more numbers to plants coated with honeydew than that of distilled water. The mirid bugs survived for 4-6 days on honeydew and 11-20 days on insect prey. It was found that honeydew attracts mirid bugs to the treated surface but it could not support the survival of mirid bugs for longer time.Keywords
Cyrtorhinus lividipennis, Honeydew, Kairomone, Rice Hoppers, Tytthus parviceps.Full Text
- A District Level Assessment of Vulnerability of Indian Agriculture to Climate Change
Abstract Views :267 |
PDF Views:93
Authors
C. A. Rama Rao
1,
B. M. K. Raju
1,
A. V. M. Subba Rao
1,
K. V. Rao
1,
V. U. M. Rao
1,
Kausalya Ramachandran
1,
B. Venkateswarlu
2,
A. K. Sikka
3,
M. Srinivasa Rao
1,
M. Maheswari
1,
Ch. Srinivasa Rao
1
Affiliations
1 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad 500 059, IN
2 Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani 431 462, IN
3 Natural Resource Management Division, ICAR, New Delhi 110 012, IN
1 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad 500 059, IN
2 Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani 431 462, IN
3 Natural Resource Management Division, ICAR, New Delhi 110 012, IN
Source
Current Science, Vol 110, No 10 (2016), Pagination: 1939-1946Abstract
Assessing vulnerability to climate change and variability is an important first step in evolving appropriate adaptation strategies to changing climate. Such an analysis also helps in targeting adaptation investments, specific to more vulnerable regions. Adopting the definition of vulnerability given by IPCC, vulnerability was assessed for 572 rural districts of India. Thirty eight indicators reflecting sensitivity, adaptive capacity and exposure were chosen to construct the composite vulnerability index. Climate projections of the PRECIS model for A1B scenario for the period 2021-2050 were considered to capture the future climate. The data on these indicators were normalized based on the nature of relationship. They were then combined into three indices for sensitivity, exposure and adaptive capacity, which were then averaged with weights given by experts, to obtain the relative vulnerability index. Based on the index, all the districts were divided into five categories with equal number of districts. One more district was added to 'very high' and 'high' categories. The analysis showed that districts with higher levels of vulnerability are located in the western and peninsular India. It is also observed that the highly fertile Indo-Gangetic Plains are relatively more sensitive, but less vulnerable because of higher adaptive capacity and lower exposure.Keywords
Agriculture, Adaptive Capacity and Exposure, Climate Change, Sensitivity, Vulnerability.Full Text
- Farm Ponds for Climate-Resilient Rainfed Agriculture
Abstract Views :270 |
PDF Views:109
Authors
Ch. Srinivasa Rao
1,
R. Rejani
1,
C. A. Rama Rao
1,
K. V. Rao
1,
M. Osman
1,
K. Srinivasa Reddy
1,
Manoranjan Kumar
1,
Prasanna Kumar
1
Affiliations
1 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500 059, IN
1 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500 059, IN
Source
Current Science, Vol 112, No 03 (2017), Pagination: 471-477Abstract
This article summarizes the utility of farm pond technology as an adaptation strategy to overcome water shortage due to several reasons, including climate change. This technology has the potential to increase availability of water for supplemental irrigation, increase in cropped area and productivity leading to increase in net returns from crops. Farm pond offers a solution to overcome the increased frequencies of drought, particularly mid-season and terminal drought under climate change scenario. The article advocates for policy intervention to promote one pond for each farm holding having an area of 2.0 ha at individual farm level or on community-sharing basis. Constraints for large-scale implementation of farm pond technology are also discussed.Keywords
Climate Change, Drought Management, Farm Ponds, Rainfed Agriculture, Supplemental Irrigation.Full Text
- Key Biotic and Abiotic Stresses and Rice Germplasm Tolerance
Abstract Views :139 |
PDF Views:0
Authors
Affiliations
1 Crop Research Station (N.D. University of Agriculture and Technology), Masodha (U.P.), IN
2 Indian Institute of Rice Research, Rajendranagar, Hyderabad (Telangana), IN
3 Indira Gandhi Krishi Vishwavidyala, Raipur (C.G.), IN
1 Crop Research Station (N.D. University of Agriculture and Technology), Masodha (U.P.), IN
2 Indian Institute of Rice Research, Rajendranagar, Hyderabad (Telangana), IN
3 Indira Gandhi Krishi Vishwavidyala, Raipur (C.G.), IN
Source
International Journal of Plant Protection, Vol 9, No 1 (2016), Pagination: 337-342Abstract
The productivity of rice and per capita availability in India is quite low. The yield level of a crop reflects many facets of crop growth including environmental factors such as rainfall, temperature, sunlight and humidity and cultural factors such as planting date, row spacing, cultivar selection and tillage method. As a result, the interpretation of a relationship is difficult; however response is likely at low yields at high soil test values. The manuscript attempts to highlight the key soil stresses in rice production of India and comes out with names of some of the promising cultivars/germplasms established all along for addressing such issues.Keywords
Key Biotic, Abiotic Steess, Rice Germplasm.
- Assessing Unrealized Yield Potential of Maize Producing Districts in India
Abstract Views :285 |
PDF Views:81
Authors
B. M. K. Raju
1,
C. A. Rama Rao
1,
K. V. Rao
1,
Srinivasarao
1,
Josily Samuel
1,
A. V. M. Subba Rao
1,
M. Osman
1,
M. Srinivasa Rao
1,
N. Ravi Kumar
1,
R. Nagarjuna Kumar
1,
V. V. Sumanth Kumar
2,
K. A. Gopinath
1,
N. Swapna
1
Affiliations
1 ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad 500 059, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad 502 324, IN
1 ICAR-Central Research Institute for Dryland Agriculture, Santoshnagar, Hyderabad 500 059, IN
2 International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad 502 324, IN
Source
Current Science, Vol 114, No 09 (2018), Pagination: 1885-1893Abstract
The projected demand of maize production in India in 2050 is 4–5 times of current production. With the scope for area expansion being limited, there is need for enhancement of yield. This calls for identifying areas where huge unrealized yield potential exists. With a view to address the issue, the present study delineates homogeneous agro-climatic zones for maize production system in India taking district as a unit and using the factors production, viz. climate, soil, season and irrigated area under the crop. There are 146 districts in India that grow maize as a major crop. They were divided into 26 zones using multivariate cluster analysis. Study of variation in yield between districts within a zone vis-a-vis crop management practices adopted in those districts was found useful in targeting the yield gaps. These findings can have direct relevance to the maize farmers and district level administrators.Keywords
Agro-Climatic Zone, Climate, Cluster, Irrigation, Potential Yield, Yield Gap.Full Text
References
- Amarasinghe, U. A. and Om Prakash Singh, Changing consumption patterns of India: implications on future food demand. In India’s Water Future: Scenarios and Issues (eds Amarasinghe, U. A., Shah, T. and Malik, R. P. S.). International Water Management Institute, Colombo, Sri Lanka, 2008, pp. 131–146.
- Raju, B. M. K., Rama Rao, C. A. and Venkateswarlu, B., Growth performance of major rainfed crops in India. Indian J. Dryland Agric. Res. Dev., 2010, 25(1), 17–22.
- CRIDA, Annual Report 2013–2014. Central Research Institute for Dryland Agriculture, Hyderabad, India, 2014, p. 197.
- Sehgal, J., Mandal, D. K., Mandal, C. and Vadivelu, S., Agro-Ecological Regions of India. Second Edition, Tech. Bull. No. 24, NBSS and LUP, Nagpur, India, 1992, p. 130.
- Sehgal, J., Mandal, D. K. and Mandal, C., Agro-Ecological Subregions of India (Map). NBSS and LUP, Nagpur, India, 1995.
- ICRISAT, ICAR, Typology construction and economic policy analysis for sustainable rainfed agriculture. A report on sustainable rainfed agriculture research and development: Database development, typology construction and economic policy analysis (Module I), International Crops Research Institute for Semi-Arid Tropics, Hyderabad, Andhra Pradesh, India, 1999, pp. 142.
- Williams, C. L., Hargrove, W. W., Liebman, M. and James, D. E., Agro-ecoregionalization of Iowa using multivariate geographical clustering. Agric., Ecosyst. Environ., 2008, 123, 161–174.
- Kumar, S., Raju, B. M. K., Rama Rao, C. A., Kareemulla, K. and Venkateswarlu, B., Sensitivity of yields of major rainfed crops to climate in India. Indian J. Agric. Econ., 2011, 66(3), 340–352.
- Davatgar, N., Neishabouri, M. R. and Sepaskhah, A. R., Delineation of site specific nutrient management zones for a paddy cultivated area based on soil fertility using fuzzy clustering. Geoderma, 2012, 173–174, 111–118.
- Fu, Q., Wang, Z. and Jiang, Q., Delineating soil nutrient management zones based on fuzzy clustering optimized by PSO. Math. Comput. Model., 2010, 51, 1299–1305.
- Ortega, R. A. and Santibanez, O. A., Determination of management zones in corn (Zea mays L.) based on soil fertility. Comput. Electron. Agric., 2007, 58, 49–59.
- Ruß, G. and Kruse, R., Data Mining in Agriculture: Exploratory Hierarchical Clustering for Management Zone Delineation in Precision Agriculture. In Advances in Data Mining Applications and Theoretical Aspects, Proceedings of 11th Industrial ConferenceICDM-2011, LNAI 6870 (ed. Perner, P.), Springer-Verlag Berlin Heidelberg, 2011, pp. 161–173.
- DES, 2014; http://eands.dacnet.nic.in/
- Agricultural Census, 2014; http://agcensus.nic.in/
- Raju, B. M. K. et al., Revisiting climatic classification in India: a district level analysis. Curr. Sci., 2013, 104(4), 492–495.
- Dunne, K. A. and Willmott, C. J., Global distribution of plant-extractable water capacity of soil (Dunne). Oak Ridge, Tennessee, USA (Oak Ridge National Laboratory Distributed Active Archive Center), 2000; doi:10.3334/ORNLDAAC/545.
- Joshi, P. K., Singh, N. P., Singh, N. N., Gerpacio, R. V. and Pingali, P. L., Maize in India: Production Systems, Constraints, and Research Priorities. Mexico, DF: CIMMYT, 2005, p. 42.
- Srinivasarao, Ch., Ravindra Chary, G., Mishra, P. K., Subba Reddy, G., Sankar, G. R. M., Venkateswarlu, B. and Sikka, A. K., Rainfed Farming A Compendium of Doable Technologies, All India Coordinated Research Project for Dryland Agriculture, ICAR – Central Research Institute for Dryland Agriculture, Hyderabad, India, 2014, p. 194.
- Agriculture Development-Based Mapping of Agro-Ecological Sub-Regions and its Implications for Doubling Farmers’ Income in India
Abstract Views :229 |
PDF Views:76
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.
- Planning Commission, Report of the Working Group on Agricul-tural Research and Education for the Tenth Five Year Plan. Plan-ning Commission, Government of India, 2001.
- Bhatia, V. K. and Rai. S. C., Evaluation of socio-economic devel-opment in small areas. Project report, Indian Society of Agricul-tural Statistics. IASRI campus, New Delhi, 2004.
- Srivastava S. K., Ghosh, S., Kumar, A. and. Anand, P. S. B., Unravelling spatio-temporal pattern of irrigation development and its impact on Indian agriculture. Irrigation Drainage, 2014, 63(1), 1–11.