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Impact of irrigation on interannual variability in United States agricultural productivity

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  • Kukal, M.S.
  • Irmak, S.

Abstract

Irrigation contributes to enhance and sustain agricultural production in the U.S. across all aridity regimes, via mitigation against interannual environmental variability. Currently, a quantitative understanding of the role of irrigation in stabilizing agricultural yields is lacking, limiting the realization of irrigation-adoption impacts. Here we use >220,000 historical (1950–2015) county-year irrigated and rainfed yield records for the top-nine U.S. crops [maize (Zea mays L.), soybean (Glycine max (L.) Merr.), spring wheat (Triticum aestivum L.), winter wheat (Triticum aestivum L.), alfalfa (Medicago sativa L.), sorghum (Sorghum bicolor (L.) Moench), cotton (Gossypium hirsutum), barley (Hordeum vulgare L.) and oats (Avena sativa)]. To comprehensively quantify the “Irrigation-Induced Reduction in Crop Yield Variability” (IIRYV, defined as the percent reduction in crop yield variability when irrigated with respect to rainfed yield variability). Averaged across all crops, national-level IIRYV was 41 %, which varied from 0 to 90 % across various regions and crops. IIRYV was highly crop-specific, and maize and cotton crops demonstrated the highest and least magnitudes. IIRYV substantially varied spatially within the constituent growing regions for each crop, and thus national scale assessments masked significant spatial differences. IIRYV was subject to interannual (temporal) variability; however, in general, IIRYV increased over time (1950–2015) for most crops. These findings will help in the evaluation of the contribution of historical irrigation development policy and adoption in the U.S in mitigating external shocks (variability) in U.S. agricultural productivity. The demonstration of spatial and temporal dynamics in IIRYV will aid in irrigation-water allocations and adoption by prioritizing irrigation development for vulnerable crops and regions.

Suggested Citation

  • Kukal, M.S. & Irmak, S., 2020. "Impact of irrigation on interannual variability in United States agricultural productivity," Agricultural Water Management, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:agiwat:v:234:y:2020:i:c:s0378377419322504
    DOI: 10.1016/j.agwat.2020.106141
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    1. Toshichika Iizumi & Jing-Jia Luo & Andrew J. Challinor & Gen Sakurai & Masayuki Yokozawa & Hirofumi Sakuma & Molly E. Brown & Toshio Yamagata, 2014. "Impacts of El Niño Southern Oscillation on the global yields of major crops," Nature Communications, Nature, vol. 5(1), pages 1-7, September.
    2. David Zilberman & Doug Parker, 1996. "Explaining Irrigation Technology Choices: A Microparameter Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 1064-1072.
    3. Kukal, M.S. & Irmak, S., 2020. "Characterization of water use and productivity dynamics across four C3 and C4 row crops under optimal growth conditions," Agricultural Water Management, Elsevier, vol. 227(C).
    4. Deines, Jillian M. & Schipanski, Meagan E. & Golden, Bill & Zipper, Samuel C. & Nozari, Soheil & Rottler, Caitlin & Guerrero, Bridget & Sharda, Vaishali, 2020. "Transitions from irrigated to dryland agriculture in the Ogallala Aquifer: Land use suitability and regional economic impacts," Agricultural Water Management, Elsevier, vol. 233(C).
    5. Payero, J.O. & Tarkalson, D.D. & Irmak, S. & Davison, D. & Petersen, J.L., 2009. "Effect of timing of a deficit-irrigation allocation on corn evapotranspiration, yield, water use efficiency and dry mass," Agricultural Water Management, Elsevier, vol. 96(10), pages 1387-1397, October.
    6. Schaible, Glenn D. & Aillery, Marcel P., 2012. "Water Conservation in Irrigated Agriculture: Trends and Challenges in the Face of Emerging Demands," Economic Information Bulletin 134692, United States Department of Agriculture, Economic Research Service.
    7. Rasmussen, Wayne D., 1962. "The Impact of Technological Change on American Agriculture, 1862–1962," The Journal of Economic History, Cambridge University Press, vol. 22(4), pages 578-591, December.
    8. Deepak K. Ray & James S. Gerber & Graham K. MacDonald & Paul C. West, 2015. "Climate variation explains a third of global crop yield variability," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
    9. English, Marshall & Raja, Syed Navaid, 1996. "Perspectives on deficit irrigation," Agricultural Water Management, Elsevier, vol. 32(1), pages 1-14, November.
    10. Kitchens, Carl & Fishback, Price, 2015. "Flip the Switch: The Impact of the Rural Electrification Administration 1935–1940," The Journal of Economic History, Cambridge University Press, vol. 75(4), pages 1161-1195, December.
    11. H. E. Selby, 1949. "The Importance of Irrigation in the Economy of the West," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(4_Part_2), pages 955-964.
    12. Comas, Louise H. & Trout, Thomas J. & DeJonge, Kendall C. & Zhang, Huihui & Gleason, Sean M., 2019. "Water productivity under strategic growth stage-based deficit irrigation in maize," Agricultural Water Management, Elsevier, vol. 212(C), pages 433-440.
    13. Irmak, Suat & Kukal, Meetpal S. & Mohammed, Ali T. & Djaman, Koffi, 2019. "Disk-till vs. no-till maize evapotranspiration, microclimate, grain yield, production functions and water productivity," Agricultural Water Management, Elsevier, vol. 216(C), pages 177-195.
    14. Murat Isik & Stephen Devadoss, 2006. "An analysis of the impact of climate change on crop yields and yield variability," Applied Economics, Taylor & Francis Journals, vol. 38(7), pages 835-844.
    15. Jedidiah Brewer & Robert Glennon & Alan Ker & Gary Libecap, 2007. "Water Markets in the West: Prices, Trading, and Contractual Forms," ICER Working Papers 30-2007, ICER - International Centre for Economic Research.
    16. Toshichika Iizumi & Hirofumi Sakuma & Masayuki Yokozawa & Jing-Jia Luo & Andrew J. Challinor & Molly E. Brown & Gen Sakurai & Toshio Yamagata, 2013. "Prediction of seasonal climate-induced variations in global food production," Nature Climate Change, Nature, vol. 3(10), pages 904-908, October.
    17. Payero, José O. & Tarkalson, David D. & Irmak, Suat & Davison, Don & Petersen, James L., 2008. "Effect of irrigation amounts applied with subsurface drip irrigation on corn evapotranspiration, yield, water use efficiency, and dry matter production in a semiarid climate," Agricultural Water Management, Elsevier, vol. 95(8), pages 895-908, August.
    18. Zhang, Yongqiang & Kendy, Eloise & Qiang, Yu & Changming, Liu & Yanjun, Shen & Hongyong, Sun, 2004. "Effect of soil water deficit on evapotranspiration, crop yield, and water use efficiency in the North China Plain," Agricultural Water Management, Elsevier, vol. 64(2), pages 107-122, January.
    19. Payero, Jose O. & Melvin, Steven R. & Irmak, Suat & Tarkalson, David, 2006. "Yield response of corn to deficit irrigation in a semiarid climate," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 101-112, July.
    20. Clarke,Sally H., 2002. "Regulation and the Revolution in United States Farm Productivity," Cambridge Books, Cambridge University Press, number 9780521528450.
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