Warm and cool season reconstruction and assessment of the long‐term hydroclimatic variability of the Canadian prairie provinces through the development of the Canadian Prairies Paleo Drought Atlas

2021 ◽  
Author(s):  
Samantha A. Kerr ◽  
Yuliya Andreichuk ◽  
David Sauchyn
Keyword(s):  
Cool Season ◽  
Canadian Prairie ◽  
Canadian Prairies ◽  
Hydroclimatic Variability ◽  
Prairie Provinces

COMPARISON OF MODELLED SOIL WATER RESERVES ON CANADIAN PRAIRIE SOILS WITH WATER-HOLDING CAPACITIES OF 280 AND 250 mm

1985 ◽  
Vol 65 (1) ◽  
pp. 219-223
Author(s):  
R. de JONG ◽  
W. K. SLY
Keyword(s):  
Soil Water ◽  
Perennial Crop ◽  
Canadian Prairie ◽  
Canadian Prairies ◽  
Prairie Soils ◽  
Available Water ◽  
Aridity Indices ◽  
Water Holding ◽  
Dough Stage

Based on soil water modelling results of 19 stations, averaged long-term soil water reserves on the Canadian Prairies were compared for two soils having available water-holding capacities of 280 and 250 mm. The soil water reserves of the 250-mm capacity soil were 6.5%, 8.7% and 6.2% less than those of the 280-mm capacity soil on 1 May after a fallow year, 30 June heading time and 1 May after a crop year, respectively. The aridity indices for wheat at the soft dough stage for the 250-mm capacity soil ranged from 4% less in the drier part of the Prairies to 7–9% more in the wetter regions as compared to the 280-mm capacity soil. Water deficits for a perennial crop grown on a 280-mm capacity soil could not be used to infer the deficits on a 250-mm capacity soil because of the model’s sensitivity to rainfall distribution with time. Key words: Soil water, modelling, available water-holding capacity

Evaluation of the CERES-Rice Model for Precision Nitrogen Management for Rice in Northeast China

2017 ◽  
Vol 8 (2) ◽  
pp. 328-332
Author(s):  
J. Zhang ◽  
Y. Miao ◽  
W.D. Batchelor
Keyword(s):  
Northeast China ◽  
Weather Data ◽  
Cool Season ◽  
Use Efficiency ◽  
Optimum N Rate ◽  
Management Recommendations ◽  
N Management ◽  
N Rates ◽  
N Use

Over-application of nitrogen (N) in rice (Oryza sativaL.) production in China is common, leading to low N use efficiency (NUE) and high environmental risks. The objective of this work was to evaluate the ability of the CERES-Rice crop growth model to simulate N response in the cool climate of Northeast China, with the long term goal of using the model to develop optimum N management recommendations. Nitrogen experiments were conducted from 2011–2015 in Jiansanjiang, Heilongjiang Province in Northeast China. The CERES-Rice model was calibrated for 2014 and 2015 and evaluated for 2011 and 2013 experiments. Overall, the model gave good estimations of yield across N rates for the calibration years (R2=0.89) and evaluation years (R2=0.73). The calibrated model was then run using weather data from 2001–2015 for 20 different N rates to determine the N rate that maximized the long term marginal net return (MNR) for different N prices. The model results indicated that the optimum mean N rate was 120–130 kg N ha–1, but that the simulated optimum N rate varied each year, ranging from 100 to 200 kg N ha–1. Results of this study indicated that the CERES-Rice model was able to simulate cool season rice growth and provide estimates of optimum regional N rates that were consistent with field observations for the area.

Statistical spring wheat yield forecasting for the Canadian prairie provinces

2009 ◽  
Vol 149 (6-7) ◽  
pp. 1022-1031 ◽  
Author(s):  
Budong Qian ◽  
Reinder De Jong ◽  
Richard Warren ◽  
Aston Chipanshi ◽  
Harvey Hill
Keyword(s):  
Spring Wheat ◽  
Wheat Yield ◽  
Canadian Prairie ◽  
Yield Forecasting ◽  
Prairie Provinces

Characterization and assessment of the devastating natural hazards across the Canadian Prairie Provinces from 2009 to 2011

2014 ◽  
Vol 73 (2) ◽  
pp. 761-785 ◽  
Author(s):  
Julian Brimelow ◽  
Ronald Stewart ◽  
John Hanesiak ◽  
Bohdan Kochtubajda ◽  
Kit Szeto ◽  
...  
Keyword(s):  
Natural Hazards ◽  
Canadian Prairie ◽  
Prairie Provinces
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