Refine your search
Collections
Co-Authors
Journals
Year
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
Deb, Dibyendu
- Assessment of Rainfall Variability and its Impact on Groundnut Yield in Bundelkhand Region of India
Abstract Views :241 |
PDF Views:78
Authors
Affiliations
1 ICAR Research Complex for Eastern Region, ICAR Parisar, P. O. Bihar Veterinary College, Patna 800 014, IN
2 Indian Grassland and Fodder Research Institute, Near Pahuj Dam, Gwalior Road, Jhansi 284 003, IN
1 ICAR Research Complex for Eastern Region, ICAR Parisar, P. O. Bihar Veterinary College, Patna 800 014, IN
2 Indian Grassland and Fodder Research Institute, Near Pahuj Dam, Gwalior Road, Jhansi 284 003, IN
Source
Current Science, Vol 117, No 5 (2019), Pagination: 794-803Abstract
Bundelkhand region, one of the vulnerable areas in central India, is prone to frequent drought and crop failure due to annual rainfall variability. In this study, long-term (113 years) fine resolution (0.25° × 0.25°) daily gridded rainfall data has been analysed to depict a spatial variation of annual rainfall over Bundelkhand. An increase in annual rainfall has been observed from north to south of the study area. A declining trend varying from 0.49 to 2.16 mm per year is observed in annual rainfall time series in most parts of the study area. Trend analysis of monsoon rainfall shows overall declining trend over the study area. Rainfall events are categorized in various classes and their spatial trends over Bundelkhand are depicted. Kharif crop calendar (July–September) as well as its yield in India, including Bundelkhand, is primarily based on monsoonal rainfall parameters. A study on the relationship between groundnut yield and monsoonal rainfall parameters for Jhansi district in Bundelkhand shows highest correlation (0.46) between groundnut yield and rainfall class 3 events (16 ≤ rainfall intensity, mm day–1 < 32) occurred in a year followed by cumulative rainfall amount precipitated during June–July (JJ). The frequency of rainfall class 5 type (64 ≤ rainfall intensity, mm day–1 < 128) as well as a delay in onset of monsoonal rainfall have shown a negative correlation with groundnut yield. This study depicts rainfall pattern over the study area and identifies the vulnerable areas that are likely to experience more water stress due to rainfall variability.-Keywords
Bundelkhand Region, Groundnut Yield, Indian Monsoon Rainfall, Rainfall Intensity Class.Full Text
References
- Granados, R., Soria, J. and Cortina, M., Rainfall variability, rainfed agriculture and degree of human marginality in North Guanajuato, Mexico. Singapore J. Trop. Geo., 2017, 38, 153–166.
- Ayoade, J. O., Climate Change, Vantage Publishers, Ibadan, 2004.
- Bannayan, M., Lotfabadi, S. S., Sanjani, S., Mohamadian, A. and Aghaalikhani, M., Effects of precipitation and temperature on crop production variability in northeast Iran. Int. J. Biometeorol., 2011, 55, 387–401.
- Gautam, H. R., Bhardwaj, M. L. and Kumar, R., Climate change and its impact on plant diseases. Curr. Sci., 2013, 105, 1685– 1691.
- López, R. E., Thomas, V. and Troncoso, P., Climate Change and Natural Disasters, STD 414, Santiago, 2015.
- Core Writing Team, Pachauri, R. K. and Meyer, L. A. (eds), IPCC, Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Geneva, Switzerland, 2014.
- Hundecha, Y. and Bárdossy, A., Trends in daily precipitation and temperature extremes across western Germany in the second half of the 20th century. Int. J. Climatol., 2005, 25, 1189–1202.
- Alexander, L. V. et al., Global observed changes in daily climate extremes of temperature and precipitation. J. Geophys. Res., 2006, 111, 1–22.
- Volosciuk, C., Maraun, D., Semenov, V. A., Tilinina. N., Gulev, S. K. and Latif, M., Rising Mediterranean sea surface temperatures amplify extreme summer precipitation in central Europe. Sci. Rep., 2006, 6, 32450.
- Zhao, Y., Xu, X., Huang, W., Wang, Y., Xu, Y., Chen, H. and Kang, Z., Trends in observed mean and extreme precipitation within the Yellow River Basin, China. Theor. Appl. Climatol., 2008; https://doi.org/10.1007/s00704-018-2568-4.
- Kumar, M. R., Krishnan, R., Sankar, S., Unnikrishnan, A. S. and Pai, D. S., Increasing trend of ‘break-monsoon’ conditions over India – role of ocean–atmosphere processes in the Indian Ocean. IEEE Geosci. Remote Sensing, 2009, 6, 332–336.
- Vishnu, S., Francis, P. A., Shenoi, S. S. C. and Ramakrishna, S. S. V. S., On the decreasing trend of the number of monsoon depressions in the Bay of Bengal. Environ. Res. Lett., 2016, 11, 014011; https://doi.org/10.1088/1748-9326/11/1/014011.
- Guhathakurta, P. and Rajeevan, M., Trends in the rainfall pattern over India. Int. J. Climatol., 2008, 28, 1453–1469.
- Thomas, T., Nayak, P. C. and Ghosh, N. C., Irrigation planning for sustainable rain-fed agriculture in the drought-prone Bundelkhand region of Madhya Pradesh, India. J. Water Climate Change, 2014, 5, 408–426.
- Thomas, T., Nayak, P. C. and Ghosh, N. C., Spatiotemporal analysis of drought characteristics in the Bundelkhand region of Central India using the standardized precipitation index. J. Hydrol. Eng., 2015, 20, 05015004; https://doi.org/10.1061/(ASCE)HE.19435584.0001189.
- Mallya, G., Mishra, V., Niyogi, D., Tripathi, S. and Govindaraju, R. S., Trends and variability of droughts over the Indian monsoon region. Weather Climate Extremes, 2016, 12, 43–68.
- Gosain, A. K., Rao, S. and Basuray, D., Climate change impact assessment on hydrology of Indian river basins. Curr. Sci., 2016, 90, 346–353.
- Kumar, V., Jain, S. K. and Singh, Y., Analysis of long-term rainfall trends in India. Hydrol. Sci. J., 2010, 55, 484–496.
- Rajeevan, M., Bhate, J. and Jaswal, A. K., Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophys. Res. Lett., 2008, 35, L18707; https://doi.org/10.1029/2008GL035143.
- Roxy, M. K. et al., A threefold rise in widespread extreme rain events over central India. Nat. Commun., 2017, 8, 708; http://dx.doi.org/10.1038/s41467-017-00744-9.
- Phalguna, M. and Mirajkar, A. B., The trend analysis of rainfall in the Wainganga River Basin, India. Int. J. Eng. Res. Appl., 2018, 8, 72–85.
- Kumar, K. K., Kumar, K. R., Ashrit, R. G., Deshpande, N. R. and Hansen, J. W., Climate impacts on Indian agriculture. Int. J. Climatol., 2004, 24, 1375–1393.
- Prasanna, V., Impact of monsoon rainfall on the total foodgrain yield over India. J. Earth Syst. Sci., 2014, 123, 1129–1145.
- Mukherjee, J., Das, D. K., Sehgal, V. K., Vashisth, A., Singh, R. and Barari, S. K., South west monsoon and food grain production of India. J. Agric. Phys., 2014, 14, 73–79
- Selvaraju, R., Impact of El Niño–southern oscillation on Indian foodgrain production. Int. J. Climatol., 2003, 23, 187–206.
- Subash, N. and Gangwar, B., Statistical analysis of Indian rainfall and rice productivity anomalies over the last decades. Int. J. Climatol., 2014, 34, 2378–2392.
- Rai, S. K., Behari, P., Satyapriya, A., Rai, K. and Agrawal, R. K., Long term trends in rainfall and its probability for crop planning in two districts of Bundelkhand region. J. Agrometeorol., 2012, 14, 74–78.
- Rai, S. K., Kumar, S., Rai, A. K. and Palsaniya, D. R., Climate change, variability and rainfall probability for crop planning in few districts of Central India. Atmos. Climate Sci., 2014, 4, 394– 403.
- Deo, K., Tripathi, P., Kumar, A., Singh, K., Mishra, S., Mishra, A. and Singh, A., Trend of rainfall in different sectors of Uttar Pradesh under present scenario of climate change. Int. J. Environ. Sci., 2015, 6, 303–310.
- Kar, S. K., Thomas, T. and Singh, R. M., Identification of drought prone areas and trend analysis of rainfall phenomenon in Dhasan Basin. Indian J. Dryland Agric. Res. Dev., 2016, 31, 9–14.
- Jain, V. K., Pandey, R. P., Jain, M. K. and Byun, H. R., Spatiotemporal rainfall trends in the twentieth century for Bundelkhand region, India. J. Water Climate Change, 2017, 8, 441–455.
- Kumari, M., Singh, O. P. and Meena, D. C., Crop water requirement, water productivity and comparative advantage of crop production in different regions of Uttar Pradesh, India. Int. J. Curr. Microbiol. App. Sci., 2017, 6, 2043–2052.
- Shepard, D., A two-dimensional interpolation function for irregularlyspaced data. In Proceedings of the 23rd ACM National Conference, New York, USA, 1968, pp 517–524.
- Machiwal, D. and Jha, M. K., Comparative evaluation of statistical tests for time series analysis: application to hydrological time series. Hydrol. Sci. J., 2008, 53, 353–366.
- Yeh, C. F., Wang, J., Yeh, H. F. and Lee, C. H., Spatial and temporal streamflow trends in northern Taiwan. Water, 2015, 7, 634–651.
- Jayawardena, A., Environmental and Hydrological Systems Modeling, CRC Press, Boca Raton, 2014.
- Buishand, T. A., Some methods for testing the homogeneity of rainfall records. J. Hydrol., 1982, 58, 11–27.
- Hamed, K. H. and Rao, A. R., A modified Mann-Kendall trend test for autocorrelated data. J. Hydrol., 1998, 204, 182–196.
- Theil, H., A rank-invariant method of linear and polynomial regression analysis. In Henri Theil’s Contributions to Economics and Econometrics. Advanced Studies in Theoretical and Applied Econometrics (eds Raj, B. and Koerts, J.), Springer, Dordrecht, Netherlands, 1992, vol. 23.
- Sen, P. K., Estimates of the regression coefficient based on Kendall’s tau. J. Am. Stat. Assoc., 1968, 63, 1379–1389.
- Alpert, P. et al., The paradoxical increase of Mediterranean extreme daily rainfall in spite of decrease in total values. Geophys. Res. Lett., 2002, 29, 311–314.
- Curtarelli, M., Leão, J., Ogashawara, I., Lorenzzetti, J. and Stech, J., Assessment of spatial interpolation methods to map the bathymetry of an Amazonian hydroelectric reservoir to aid in decision making for water management. ISPRS Int. J. Geo. Inf., 2015, 4, 220–235.
- Boote, K. J., Growth stages of peanut (Arachis hypogaea L.). Pean. Sci., 1982, 9, 35–40.
- Reddy, T. Y., Reddy, V. R. and Anbumozhi, V., Physiological responses of groundnut (Arachis hypogea L.) to drought stress and its amelioration: a critical review. Plant. Growth Regul., 2003, 41, 75–88.
- Oppong-Sekyere, D., Akromah, R., Nyamah, E. Y., Ninfaa, A. D., Braimah, M. M., Akpalu, M. M. and Salifu, A. R. S., Assessment of postharvest practices of groundnuts in northern Ghana based on the participatory rural appraisal technique. J. Sci. Res. Rep., 2016, 10, 1–17.
- Niazi, S., In India’s parched Bundelkhand, drought brings a tide of migration [WWW Document]; https://www.preventionweb.net/news/view/59147 (accessed on 5 October 2018).
- Saxena, M., Bundelkhand water crisis: Fourth successive drought and vanishing water bodies compound farmer misery, trigger migration [WWW Document]. https://www.firstpost.com/india/bundelkhand-water-crisis-fourth-successive-drought-and-vanishing-water-bodies-compound-farmer-misery-trigger-migration-4468313.html (accessed on 5 October 2018).
- Bisht, H., Climate Resilient Development in Bundelkhand Region of Madhya Pradesh – Synthesis Report. Development Alternatives, New Delhi, 2013.
- Mohan, C., Developing Climate Resilient Farming in Bundelkhand [WWW Document]. https://krishijagran.com/news/developing-climate-resilient-farming-in-bundelkhand/ (accessed on 9 October 2018).
- Rakhecha, P. and Singh, V. P., Applied Hydrometeorology, Capital Publishing Company, New Delhi, 2009.
- Adamgbe, E. M. and Ujoh, F., Effect of variability in rainfall characteristics on maize yield in Gboko, Nigeria. J. Environ. Prot., 2013, 4, 881–887.
- Naveen, P., Daniel, K. V., Subramaniyam, P. and Kumar, P. S., Response of irrigated groundnut to agro management. Indian J. Agron., 1992, 37, 82–85.
- IOPEPC, Kharif – 2017 Survey of Groundnut Crop. Indian Oilseeds and Produce Export Promotion Council. Govt of India, Mumbai, 2017.
- Chandrika, V., Parameswari, P. and Sreenivas, G., Effect of sowing time and rainfall distribution on yield of rainfed groundnut (Arachis hypogaea L.) in southern agro-climatic zone of Andhra Pradesh. Legume Res., 2008, 31, 54–56.