We established the statistical relationships between seasonal weather variables and average
annual wheat yield (Hard Red Spring and Durum wheat: Triticum spp.) for the period of 1979–2016
for 296 rural municipalities (RMs) throughout six soil zones comprising the arable agricultural
zone of Saskatchewan, Canada. Controlling climate variables were identified through Pearson’s
product moment correlation analysis and used in stepwise regression to predict wheat yields in each
RM. This analysis provided predictive regression equations and summary statistics at a fine spatial
resolution, explaining up to 75% of the annual variance of wheat yield, in order to re-evaluate the
climate factor rating in the arable land productivity model for the Saskatchewan Assessment and
Management Agency (SAMA).
