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Modeling Temperature and Precipitation Influences on Yield Distributions of Canola and Spring Wheat in Saskatchewan

Author

Listed:
  • Meng, Ting
  • Carew, Richard C.
  • Florkowski, Wojciech J.
  • Klepacka, Anna M.

Abstract

Warmer temperatures and variable rainfall are likely to affect Saskatchewan’s production of canola and spring wheat. This study employs moments-based approaches (full- and partial-moments) to estimate the impact of precipitation and temperature changes on canola and spring wheat yield distributions. Environment Canada weather data and Statistics Canada crop yield, planted area, and summer fallow area are employed for 20 crop districts over the 1987-2010 period. Our results show that the average crop yields are positively associated with the growing season degree days (GDD), and pre-growing season precipitation, while negatively affected by extremely high temperatures. Furthermore, the climate measures have asymmetric effects on the higher moments of crop yield distribution.

Suggested Citation

  • Meng, Ting & Carew, Richard C. & Florkowski, Wojciech J. & Klepacka, Anna M., 2016. "Modeling Temperature and Precipitation Influences on Yield Distributions of Canola and Spring Wheat in Saskatchewan," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235251, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:235251
    DOI: 10.22004/ag.econ.235251
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    Cited by:

    1. Samantha A. Kerr & Yuliya Andreichuk & David J. Sauchyn, 2019. "Re-Evaluating the Climate Factor in Agricultural Land Assessment in a Changing Climate—Saskatchewan, Canada," Land, MDPI, vol. 8(3), pages 1-23, March.
    2. Aleksandra Radawiec & Wiesław Szulc & Beata Rutkowska, 2021. "Selenium Biofortification of Wheat as a Strategy to Improve Human Nutrition," Agriculture, MDPI, vol. 11(2), pages 1-12, February.
    3. Jeločnik, Marko & Zubović, Jovan & Zdravković, Aleksandar, 2019. "Estimating impact of weather factors on wheat yields by using panel model approach — The case of Serbia," Agricultural Water Management, Elsevier, vol. 221(C), pages 493-501.
    4. Kamini Yadav & Hatim M. E. Geli, 2021. "Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period," Land, MDPI, vol. 10(12), pages 1-27, December.

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    Keywords

    Crop Production/Industries; Environmental Economics and Policy; Productivity Analysis; Resource /Energy Economics and Policy;
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