Geo-spatial analysis for assessment of agro-ecological suitability of alternate crops in Indian Punjab
DOI:
https://doi.org/10.53550/Keywords:
Agro-ecological zone, Alternate crops, Crop diversification, Indian Punjab, Remote sensing and GISAbstract
Crop intensification with the dominance of high energy input intensive rice–wheat mono-cropping system in Indian Punjab from early 1970's has led to over-exploitation of the agro-physical resources (soil and environmental health, ground water resources, ecosystem functioning and pollution etc.). It is now ecological compulsion to adopt suitable alternate land use practices including location specific crop area diversification. We made an attempt to delineate the state of Punjab into various agro-climatic and agro-ecological spatial zones (AEZ) using integrated approach of remote sensing (RS) derived agro-physical inputs (NDVI based biomass zones, existing cropping pattern and crop rotations), geospatial information (thermal zone, rainfall zone, length of growing period (LGP), soil texture, ground water etc.) and field observations. Based on standard criteria, integration and subsequent logical classification of these themes, the state of Punjab was divided into 7 major AEZ and 46 homogenous AEZ sub-zones. Considering the agro-ecological conditions of each zone, we suggested location specific suitable alternate crop/husbandry plan with due consideration to existing input resources like thermal and LGP requirements of different crops, biomass production potential, soil health problems (salt affected, water logging and water table status) etc. We also suggested potential areas for adoption of agro-forestry and horticulture based landuse systems in order to arrest the deterioration of forest cover and soil-environmental health of the state.
References
Aktar, M.W., Sengupta D. and Chowdhury, A. 2009. Impact of pesticides use in agriculture: their benefits and hazards. Interdiscip. Toxicol., 2(1):1-12.
Alexandridis, T.K., Zalidis, G.C. and Silleos, N.G. 2008. Mapping irrigated area in Mediterranean basins using low cost satellite earth observation. Comput. Electron. Agric., 64: 93-103.
Aulakh, K.S. 2002. Let us bring Punjab agriculture out of the present crisis. Prog. Farming, 38: 4-5.
Bal, S.K., Choudhury, B.U., Sood, A., Mukherjee, J. and Bains, G.S. 2009. Cropping system analysis for the Punjab state using low resolution remote sensing data. J. Agromet., 11: 217-223.
Bal, S.K., Choudhury, B.U., Sood, A., Jalota, S.K. and Singh, H. 2008. Evaluation of climgen model to generate weather parameters in different climatic situations in Punjab. J. Agromet., 10(1):73-79.
Bal, S.K., Mukherjee, J., Singh, G., Sood, A., Choudhury, B.U., Singh, H. and Kaur, P. 2012. Agro-climatic resource inventory characterization of Punjab state in spatial domain. Indian J. Ecol., 39(1): 11-17.
Bandyopadhyay, S., Ghosh, B.N., Ray, P., Ramachandran, S., Jena, R.K., Roy, P., Deb, Singh, S.K., Mukhopadhyay, S., Nayak, D.C. and Ray, S.K. 2018. Impact assessment of land resource inventory towards optimizing land use plan in Brahmaputra valley ecosystem, Assam, India. Indian J. Soil Cons., 46(1): 11-24.
Begue, A., Arvor, I.D.D., Bellon, B., Betbeder, J., de Abelleyra, D., Ferraz, R.P.D., Lebourgeois, V., Lelong, C., Simões, M. and Verón, S.R. 2018. Remote Sensing and cropping practices: A review. Remote Sens., 10(99): 2-32. Doi:10.3390/rs10010099.
Choudhary, O.P. 2003. Management of poor quality waters for rice-wheat cropping system. In: Nutrient management for sustainable ricewheat cropping system. (eds. Yadvinder Singh et al.). National Agricultural Technology Programme, ICAR, New Delhi and PAU Ludhiana, 343 p.
Choudhury, B.U., Bouman, B.A.M. and Singh, A.K. 2007. Yield and water productivity of rice-wheat on raised beds at New Delhi, India. Field Crops Res., 100(2-3): 229-239.
Choudhury, B.U., Sharma, B.D., Mukhopadhyay, S.S. and Verma, B.C. 2016. Pedosphere degradation due to seasonal water logging in south-western Punjab. Proc. National Academy Sci. India Sec. B: Biol. Sci., 86(4): 835-845.
Choudhury, B.U., Sood, A., Ray, S.S., Sharma, P.K. and Panigrahy, S. 2013. Agricultural area diversification and crop water demand analysis: A remote sensing and GIS approach. J. Indian Soc. Remote Sen., 41(1): 71-82.
Dheeravath, V., Thenkabail, P., Chandrakantha, G., Noojipady, P., Reddy, G., Biradar, C.M., Gumma, M.K. and Velpuri, M. 2010. Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003. ISPRS J. Photogramm. Remote Sens., 65: 42-59.
FAO. 1996. Guidelines: Agro-ecological zoning. Soils Bulletin No. 73. Food and Agricultural Organization, Rome, Italy.
Hira, G.S. and Kukal, S.S. 2014. Status and management of water resources in irrigated agriculture-Punjab as an Illustrative Example. Bulletin of the Indian Society of Soil Science, New Delhi, No. 29. In: Efficient Water Management for Sustainable Agriculture. Rattan, R.K. and Biswas, D.R. (eds), pp 27-40.
Hira, G.S. 2002. Water logging and salinization. In: Problem soils and their amelioration for crop production-Training course instruction Manual of CAS (ICAR). (eds. Nayyar, V.K. et al.). Department of Soils, PAU, Ludhiana, 314 p.
Kamthonkiat, D., Honda, K., Turral, H., Tripathi, N. and Wuwongse, V. 2005. Discrimination of irrigated and rainfed rice in a tropical agricultural system using SPOT VEGETATION NDVI and rainfall data. Int. J. Remote Sens., 26: 2527-2547.
Kaur, P., Singh, H., Singh, A., Bal, S.K. and Sandhu, S.S. 2012. Variability trends in meteorological parameters in Punjab. J. Res., 49(1-2): 17-23.
Lakkad, A.P., Sharma, G.R., Singh, V. and Shrivastava, P.K. 2015. Cadastral level agricultural resources planning through remote sensing and GIS techniques. Indian J. Soil Cons., 43(3): 243-249.
Lebourgeois, V., Begue, A., Degenne, P. and Bappel, E. 2007. Improving sugarcane harvest and planting monitoring for smallholders with geospatial technology: The Reunion island experience. Int. Sugar J., 109: 109-119.
Mavi, H.S. 1984. Introduction to Agrometeorology. (2nd Ed.). Oxford and IBH Publishers Co. Pvt. Ltd, New Delhi. 227 p.
Mingwei, Z., Qingbo, Z., Zhongxin, C., Jia, L., Yong, Z. and Chongfa, C. 2008. Crop discrimination in Northern China with double cropping systems using fourier analysis of time-series MODIS data. Int. J. Appl. Earth Obs. Geoinf., 10: 476-485.
Panigrahi, S. Upadhyay, G., Ray, S.S. and Parihar, J.S. 2010. Mapping of cropping system for the Indo-Gangetic plain using multidate SPOT NDVI-VGT data. J. Indian Soc. Remote Sens., 38(4): 627-632.
Patel, R. 2013. The Long Green Revolution. The J. Peasant Studies. 40: 1-63.
Sehgal, J.L., Bajwa, M.S. and Sharma, P.K. 1992. Soils of Punjab Research Bulletin. NBSS Publication No. 31, NBSS&LUP, Nagpur. 122 p.
Sood, A., Choudhury, B.U. and Sharma, P.K. 2009a. Crop diversification: a viable means to sustain agricultural production in the state of Punjab. Agr. Sit. India, 65(1): 683-688.
Sood, A., Choudhury, B.U., Ray, S.S., Jalota, S.K., Sharma, P.K. and Sushma, P. 2009b. Impact of cropping pattern changes on the exploitation of water resources: A remote sensing and GIS approach. J. Indian Soc. Remote Sen., 37: 483-491.
Sudhishri, S., Nain, A.S., Kumar, A., Kumar, D., Kumar, S. and Singh, J.K. 2017. Land use/land cover change analysis in treated watershed using RS and GIS. Indian J. Soil Cons., 45(3): 279-287.
Vittorio, A.V.D., Kyle, P. and Collins, W.D. 2016. What are the effects of Agro-ecological zones and land use region boundaries on land resource projection using the global change assessment model? Environ. Mod. Soft., 85: 246-265.
Wardlow, B., Egbert, S. and Kastens, J. 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US. Central Great Plains. Remote Sens. Environ., 108: 290- 310.
Wart, J., Bussel, L.G.J., Wolf, L.R., Grassini, P., Nelson, A., Boogaard, H., Gerber, J., Mueller, N.D., Claessens, L., Ittersum, M.K. and Cassman, K.G. 2013. Use of agro-climatic zones to upscale simulated crop yield potential. Field Crops Res., 143: 44-55.



