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Identifying environments for canola oil production under diverse seasonal crop water stress levels

Author

Listed:
  • Correndo, Yanina S.
  • Carcedo, Ana J.P.
  • Secchi, Mario A.
  • Stamm, Michael J.
  • Prasad, P.V. Vara
  • Lira, Sara
  • Messina, Carlos D.
  • Ciampitti, Ignacio A.

Abstract

Canola (Brassica napus L.) is a dual-purpose oilseed crop with a potential to close an increasing demand/supply gap for biofuel production. To increase oil production, it is imperative to identify the best production regions and to understand these environments the production environments to inform management decisions. The aims of this study were to) characterize water stress patterns in the major US winter canola production and its implications to determine regions with similar yield and oil production. With this purpose, a field observed dataset was curated from the National Winter Canola Variety Trial (NWCVT). This dataset comprises 88 sites covering around 26 US states for the 2003–2019 time period and includes phenology data and the description of the management practices for more than 400 varieties. The observed flowering date, maturity date, yield, and oil concentration were used to train and evaluate APSIM Canola. Crop phenology and seed yield presented adequate model performance (Normalized Root Mean Square Error (NRMSE)= 0.08, 0.19; Kling-Gupta model Efficiency (KGE)= 0.89, 0.68, respectively) while model performance was inferior for oil concentration (NRMSE=0.49, KGE=0.08). Three spatial clusters were defined based on water stress frequency, yield, and oil concentration. Geographically from East to West, yield and oil productivity decreased with increasing water stress frequency. This study provides new insights on identifying potential regions for oil production and on closing the increasing demand/supply gap.

Suggested Citation

  • Correndo, Yanina S. & Carcedo, Ana J.P. & Secchi, Mario A. & Stamm, Michael J. & Prasad, P.V. Vara & Lira, Sara & Messina, Carlos D. & Ciampitti, Ignacio A., 2024. "Identifying environments for canola oil production under diverse seasonal crop water stress levels," Agricultural Water Management, Elsevier, vol. 302(C).
    • Handle: RePEc:eee:agiwat:v:302:y:2024:i:c:s0378377424003317
    DOI: 10.1016/j.agwat.2024.108996
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    References listed on IDEAS

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    1. Faraji, Abolfazl & Latifi, Nasser & Soltani, Afshin & Rad, Amir Hossain Shirani, 2009. "Seed yield and water use efficiency of canola (Brassica napus L.) as affected by high temperature stress and supplemental irrigation," Agricultural Water Management, Elsevier, vol. 96(1), pages 132-140, January.
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    3. David B. Lobell & Graeme L. Hammer & Greg McLean & Carlos Messina & Michael J. Roberts & Wolfram Schlenker, 2013. "The critical role of extreme heat for maize production in the United States," Nature Climate Change, Nature, vol. 3(5), pages 497-501, May.
    4. Alina Liersch & Jan Bocianowski & Kamila Nowosad & Katarzyna Mikołajczyk & Stanisław Spasibionek & Franciszek Wielebski & Marcin Matuszczak & Laurencja Szała & Teresa Cegielska-Taras & Katarzyna Sosno, 2020. "Effect of Genotype × Environment Interaction for Seed Traits in Winter Oilseed Rape ( Brassica napus L.)," Agriculture, MDPI, vol. 10(12), pages 1-19, December.
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