This site requires Cookies enabled in your browser for login.
Updating ...
WaterNet Home
WaterNet
for
pour le
Canada
Menu
WaterNet
Home
GWFO
Home
Master
List
Data
Centre
Collections
X
Defaults
Select All
Websites
X
Global Water Futures Observatories (GWFO) Global Water Futures (GWF) Global Institute for Water Security (GIWS) International Network of Alpine Research Catchment Hydrology
Legacy Research Programs
X
Changing Cold Regions Network (CCRN) Drought Research Initiative (DRI) International Network of Alpine Research Catchment Hydrology (Legacy Site) Improving Processes & Parameterization for Prediction in Cold Regions Hydrology (IP3) The Mackenzie Global Energy and Water Cycle Experiment (GEWEX) Study (MAGS)
Legacy sites
Map
Utilities
X
Account Settings Metadata Editor Record List Alias List Editor
Data Centre
Data Type Editor
. . .
X
Clear
Select All
Advanced Search
Go to Top⇡
Related items loading ...
Fetching Chart ...
Publication Additional Information Download
Publication Type
Journal Article
Authorship
Gavasso-Rita, Y.L., Abdelmoaty, H., Li, Y., and Papalexiou, S.M.
Title
Performance of current canola (Brassica napus) hybrids under future rainfed production management
Year
2026
Publication Outlet
Journal of Agriculture and Food Research, Volume 25, 2026, 102574
DOI
https://doi.org/10.1016/j.jafr.2025.102574
ISSN
2666-1543
Citation
Gavasso-Rita, Y.L., Abdelmoaty, H., Li, Y., and Papalexiou, S.M. (2026) Performance of current canola (Brassica napus) hybrids under future rainfed production management, Journal of Agriculture and Food Research, Volume 25, 2026, 102574, ISSN 2666-1543, https://doi.org/10.1016/j.jafr.2025.102574 .
Abstract
Canola is vulnerable to the current changing weather conditions, mainly due to moisture and temperature-related stresses. Adaptation strategies such as shifting planting dates allow producers to improve canola's response to environmental conditions. This study aims to explore the optimal setting to increase canola productivity within the Canadian Prairies under future scenarios from the Shared Socioeconomic Pathways. Hence, we define the optimal planting period to avoid water and temperature stresses as well as the optimal nitrogen (N) concentration in fertilization to maximize canola productivity. We used DSSAT-Pythia to simulate four canola hybrids, 24 planting dates, five nitrogen concentrations, and four future climate scenarios, with a spatial resolution of 0.25° × 0.25° in the Canadian Prairies. The model's performance showed satisfactory predictions of canola phenology and grain yield for all hybrids. On spatial and temporal averages, the second hybrid showed highest yield values, with most values between 2500 and 3000 kg ha−1. In addition, spatial analysis shows that the first hybrid can complete the crop cycle in all growing zones when planted early (April), and the second and third hybrids completed the cycle when planted later (June and July). Nitrogen uptake was affected by weather conditions. The higher the temperature, especially during the bolting stage, the less nitrogen uptake from the plant. Fertilization with high N concentration (200 kg ha−1) is expected to be more effective before May 19 under very hot scenarios and before June 08 under mild temperatures. Overall, canola yield increased with an increase in N concentration.
Program Affiliations
GWF: Global Water Futures
GWFO: Global Water Futures Observatories
Project Affiliations
GWF-Paradigm Shift in Downscaling Climate Model Projections
Publication Stage
Published
Download Links
https://www-sciencedirect-com.cyber.usask.ca/science/article/pii/S2666154325009457/pdfft?md5=3eb1e4fa003e5f3766e57cba8ba2ffda&pid=1-s2.0-S2666154325009457-main.pdf
© 2026 - WaterNet Version 2026-06-10
Global Water Futures Observatories
Powered by
G W F Net
T-2026-06-01-z1chGFn48z2UiCDAFnKeh0tQ Publication 1.0