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Location specific climate change scenario and its impact on rice and wheat in Central Indian Punjab

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  • Jalota, S.K.
  • Vashisht, B.B.
  • Kaur, Harsimran
  • Kaur, Samanpreet
  • Kaur, Prabhjyot

Abstract

A study was conducted to (i) derive future modeled climate data for different locations, (ii) assess the impact of location specific climate change scenario on crop duration, yield, water and nitrogen-balance and-use efficiency of rice–wheat system and (iii) evaluate delaying of trans-/planting date of crops as adaptation measures. Results indicate that in mid century (MC) and end century (EC) time slice of the 21st century, rainfall and temperature would increase; crop yields (simulated with cropping systems simulation model) would decrease owing to shortening of crop duration. In MC (2021–2050) and EC (2071–2098), evapotranspiration, transpiration, drainage and irrigation requirement would decrease and soil water evaporation would increase. However, their magnitudes would vary with the location. The water use efficiency of rice and wheat crops would increase in MC. The agronomic efficiency of applied nitrogen is more in rice than that in wheat during present time slice (1998–2009) and this difference would amplify in MC and EC. Nitrogen recovery efficiency is more in wheat and the difference would reduce in EC. Crop yield and water & nitrogen use efficiency reveal relations with time slice and soil profile characteristics of the location. Delaying trans-/planting of rice by 15days in MC; and of wheat by 15–21days in MC and EC emerged as the best adaptation measures to sustain yield of rice–wheat system at all locations.

Suggested Citation

  • Jalota, S.K. & Vashisht, B.B. & Kaur, Harsimran & Kaur, Samanpreet & Kaur, Prabhjyot, 2014. "Location specific climate change scenario and its impact on rice and wheat in Central Indian Punjab," Agricultural Systems, Elsevier, vol. 131(C), pages 77-86.
    • Handle: RePEc:eee:agisys:v:131:y:2014:i:c:p:77-86
    DOI: 10.1016/j.agsy.2014.07.009
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    1. Unknown, 1979. "Fresh Fruit and Vegetable Prices, 1978," Statistical Bulletin 154321, United States Department of Agriculture, Economic Research Service.
    2. Unknown, 1979. "Food Prices in Perspective: A Summary Analysis," Economics Statistics and Cooperative Services (ESCS) Reports 143247, United States Department of Agriculture, Economic Research Service.
    3. Jalota, S.K. & Singh, K.B. & Chahal, G.B.S. & Gupta, R.K. & Chakraborty, Somsubhra & Sood, Anil & Ray, S.S. & Panigrahy, S., 2009. "Integrated effect of transplanting date, cultivar and irrigation on yield, water saving and water productivity of rice (Oryza sativa L.) in Indian Punjab: Field and simulation study," Agricultural Water Management, Elsevier, vol. 96(7), pages 1096-1104, July.
    4. Stockle, Claudio O. & Williams, Jimmy R. & Rosenberg, Norman J. & Jones, C. Allan, 1992. "A method for estimating the direct and climatic effects of rising atmospheric carbon dioxide on growth and yield of crops: Part I--Modification of the EPIC model for climate change analysis," Agricultural Systems, Elsevier, vol. 38(3), pages 225-238.
    5. Brar, S.K. & Mahal, S.S. & Brar, A.S. & Vashist, K.K. & Sharma, Neerja & Buttar, G.S., 2012. "Transplanting time and seedling age affect water productivity, rice yield and quality in north-west India," Agricultural Water Management, Elsevier, vol. 115(C), pages 217-222.
    6. Chahal, G.B.S. & Sood, Anil & Jalota, S.K. & Choudhury, B.U. & Sharma, P.K., 2007. "Yield, evapotranspiration and water productivity of rice (Oryza sativa L.)-wheat (Triticum aestivum L.) system in Punjab (India) as influenced by transplanting date of rice and weather parameters," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 14-22, March.
    7. Mahajan, G. & Bharaj, T.S. & Timsina, J., 2009. "Yield and water productivity of rice as affected by time of transplanting in Punjab, India," Agricultural Water Management, Elsevier, vol. 96(3), pages 525-532, March.
    8. Jalota, S.K. & Kaur, Harsimran & Kaur, Samanpreet & Vashisht, B.B., 2013. "Impact of climate change scenarios on yield, water and nitrogen-balance and -use efficiency of rice–wheat cropping system," Agricultural Water Management, Elsevier, vol. 116(C), pages 29-38.
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    5. Sajjad Ali & Li Gucheng & Liu Ying & Muhammad Ishaq & Tariq Shah, 2019. "The Relationship between Carbon Dioxide Emissions, Economic Growth and Agricultural Production in Pakistan: An Autoregressive Distributed Lag Analysis," Energies, MDPI, vol. 12(24), pages 1-23, December.

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