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Quantifying yield gaps in wheat production in Russia

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  • Schierhorn, Florian
  • Faramarzi, Monireh
  • Prishchepov, Alexander V.
  • Koch, Friedrich J.
  • Müller, Daniel

Abstract

Crop yields must increase substantially to meet the increasing demands for agricultural products. Crop yield increases are particularly important for Russia because low crop yields prevail across Russia’s widespread and fertile land resources. However, reliable data are lacking regarding the spatial distribution of potential yields in Russia, which can be used to determine yield gaps. We used a crop growth model to determine the yield potentials and yield gaps of winter and spring wheat at the provincial level across European Russia. We modeled the annual yield potentials from 1995 to 2006 with optimal nitrogen supplies for both rainfed and irrigated conditions. Overall, the results suggest yield gaps of 1.51–2.10 t ha −1 , or 44–52% of the yield potential under rainfed conditions. Under irrigated conditions, yield gaps of 3.14–3.30 t ha −1 , or 62–63% of the yield potential, were observed. However, recurring droughts cause large fluctuations in yield potentials under rainfed conditions, even when the nitrogen supply is optimal, particularly in the highly fertile black soil areas of southern European Russia. The highest yield gaps (up to 4 t ha −1 ) under irrigated conditions were detected in the steppe areas in southeastern European Russia along the border of Kazakhstan. Improving the nutrient and water supply and using crop breeds that are adapted to the frequent drought conditions are important for reducing yield gaps in European Russia. Our regional assessment helps inform policy and agricultural investors and prioritize research that aims to increase crop production in this important region for global agricultural markets.

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  • Schierhorn, Florian & Faramarzi, Monireh & Prishchepov, Alexander V. & Koch, Friedrich J. & Müller, Daniel, 2014. "Quantifying yield gaps in wheat production in Russia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(8), pages 1-12.
  • Handle: RePEc:zbw:espost:176891
    DOI: 10.1088/1748-9326/9/8/084017
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    References listed on IDEAS

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    1. Kiselev, Sergey & Romashkin, Roman & Nelson, Gerald C. & Mason-D'Croz, Daniel & Palazzo, Amanda, 2013. "Russia's food security and climate change: Looking into the future," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-66.
    2. Neumann, Kathleen & Verburg, Peter H. & Stehfest, Elke & Müller, Christoph, 2010. "The yield gap of global grain production: A spatial analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 316-326, June.
    3. Liu, Junguo & Williams, Jimmy R. & Zehnder, Alexander J.B. & Yang, Hong, 2007. "GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale," Agricultural Systems, Elsevier, vol. 94(2), pages 478-493, May.
    4. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
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    1. Prishchepov, Alexander V. & Ponkina, Elena & Sun, Zhanli & Müller, Daniel, 2019. "Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks," Land Use Policy, Elsevier, vol. 80(C), pages 21-31.
    2. Epstein, David & Curtiss, Jarmila, 2016. "Identifying differences in capital growth trajectories of agricultural enterprises in Russia," 149th Seminar, October 27-28, 2016, Rennes, France 245112, European Association of Agricultural Economists.
    3. Florian Schierhorn & Max Hofmann & Taras Gagalyuk & Igor Ostapchuk & Daniel Müller, 2021. "Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages," Climatic Change, Springer, vol. 169(3), pages 1-19, December.
    4. eppermann, Andre & Balkovič, Juraj & Bundle, Sophie & Havlík, Petr & Leclère, David & Lesiv, Myroslava & Schepaschenko, Dmitry, 2017. "Crop Production Potentials In Russia And Ukraine – Intensification Versus Cropland Expansion," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260899, European Association of Agricultural Economists.
    5. Wei Lu & Wiktor Adamowicz & Scott R. Jeffrey & Greg G. Goss & Monireh Faramarzi, 2018. "Crop Yield Response to Climate Variables on Dryland versus Irrigated Lands," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(2), pages 283-303, June.
    6. Prishchepov, Alexander & Ponkina, Elena & Sun, Zhanli & Müller, Daniel, 2019. "Выявление Детерминант Урожайности Пшеницы В Западной Сибири С Использованием Байесовских Сетей [Revealing the Determinants of Wheat Yields in the Siberian Breadbasket of Russia with Bayesian Networ," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(1), pages 39-83.
    7. Han, Shumin & Xin, Ping & Li, Huilong & Yang, Yonghui, 2022. "Evolution of agricultural development and land-water-food nexus in Central Asia," Agricultural Water Management, Elsevier, vol. 273(C).
    8. Schierhorn, Florian & Müller, Daniel & Prishchepov, Alexander V. & Faramarzi, Monireh & Balmann, Alfons, 2014. "The potential of Russia to increase its wheat production through cropland expansion and intensification," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(3-4), pages 133-141.

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