Potential for winter wheat production in western Canada: A CERES model winterkill risk assessment

1991 ◽  
Vol 71 (1) ◽  
pp. 21-30 ◽  
Author(s):  
I. Savdie ◽  
R. Whitewood ◽  
R. L. Raddatz ◽  
D. B. Fowler
Keyword(s):  
Winter Wheat ◽  
Snow Cover ◽  
Field Studies ◽  
Triticum Aestivum L ◽  
Climatic Conditions ◽  
Limiting Factor ◽  
Western Canada ◽  
Climatic Data ◽  
Crop Models ◽  
The North

The introduction of a practical winter wheat (Triticum aestivum L.) production system, which utilizes direct no-till seeding into standing stubble immediately after harvest of the previous crop (stubbling-in) and snow trapping, has reduced the risk of winterkill and permitted expansion of the North American crop northeastward to include most of western Canada's agricultural area. The large expanse of this region results in considerable variation in climatic conditions and associated risks of winterkill. In the present study, 29 yr of climatic data for 53 stations were analyzed utilizing the CERES winterkill algorithm with the objective of determining the spatial distribution of various winterkill levels for stubbled-in "Norstar" winter wheat in western Canada. These simulations indicated that insulating snow cover is the pivotal climatic factor in winter wheat survival in the arid and transitional grassland ecoregions. The reliability of early winter snow cover appears to be more critical than the total overwinter amount. In the more northerly boreal climatic ecoregion, the limiting factor may be poor acclimation conditions and/or early incursion of killing Arctic air. This study demonstrates the usefulness of crop models, such as CERES, in extending the results of site-specific field studies to new areas and in risk analysis for planning and decision making. Key words: Winter wheat, winterkill, CERES model, Western Canada

scholarly journals Comparison of Herbicides for Control of Diclofop-Resistant Italian Ryegrass in Wheat

Agriculture ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. 135 ◽  
Author(s):  
Taghi Bararpour ◽  
Ralph Hale ◽  
Gurpreet Kaur ◽  
Jason Bond ◽  
Nilda Burgos ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Winter Wheat ◽  
Lolium Perenne ◽  
Wheat Yield ◽  
Field Studies ◽  
Triticum Aestivum L ◽  
Italian Ryegrass ◽  
Lolium Perenne L

Diclofop-resistant Italian ryegrass (Lolium perenne L. ssp. Multiflorum (Lam.) Husnot) is a dominant weed problem in non-irrigated winter wheat (Triticum aestivum L.) in mid-south USA. Field studies were conducted from 2001 to 2007 to evaluate the efficacy of herbicides for diclofop-resistant ryegrass control and effect on wheat yield. In 2001 through 2004, chlorsulfuron/metsulfuron at 0.026 kg ha−1 preemergence (PRE) followed by (fb) mesosulfuron at 0.048 kg ha−1 at 4-leaf to 2-tiller ryegrass provided 89% control of diclofop-resistant Italian ryegrass, resulting in the highest wheat yield (3201 kg ha−1). Flufenacet/metribuzin at 0.476 kg ha−1 applied at 1- to 2-leaf wheat had equivalent Italian ryegrass control (87%), but lesser yield (3013 kg ha−1). In 2005–2006, best treatments for Italian ryegrass control were chlorsulfuron/metsulfuron, 0.013 kg ha−1 PRE fb mesosulfuron 0.015 kg ha−1 at 3- to 4-leaf ryegrass (92%); metribuzin, 0.280 kg ha−1 at 2- to 3- leaf wheat fb metribuzin at 2- to 3-tiller ryegrass (94%); chlorsulfuron/metsulfuron (0.026 kg ha−1) (89%); and flufenacet/metribuzin at 1- to 2-leaf wheat (89%). Chlorsulfuron/metsulfuron fb mesosulfuron provided higher yield (3515 kg ha−1) than all other treatments, except metribuzin fb metribuzin.

AAC Elevate hard red winter wheat

2015 ◽  
Vol 95 (5) ◽  
pp. 1021-1027 ◽  
Author(s):  
R. J. Graf ◽  
B. L. Beres ◽  
H. S. Randhawa ◽  
D. A. Gaudet ◽  
A. Laroche ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Triticum Aestivum L ◽  
Western Canada ◽  
Head Blight ◽  
Maize Pollen ◽  
Wheat Curl Mite ◽  
Hard Red Winter Wheat ◽  
End Use ◽  
Moderate Resistance ◽  
Red Winter Wheat

Graf, R. J., Beres, B. L., Randhawa, H. S., Gaudet, D. A., Laroche, A. and Eudes, F. 2015. AAC Elevate hard red winter wheat. Can. J. Plant Sci. 95: 1021–1027. AAC Elevate is a hard red winter wheat (Triticum aestivum L.) cultivar that is well adapted across western Canada and eligible for all grades of the Canada Western Red Winter (CWRW) wheat class. It was developed using wheat×maize-pollen doubled haploid methodology. AAC Elevate was evaluated in the Western Winter Wheat Cooperative Registration trials relative to CDC Osprey, AC Bellatrix, Radiant and CDC Buteo for 3 yr (2011–2013), with Flourish and Moats added as checks in the latter 2 yr. Based on these 35 replicated trials, AAC Elevate produced higher grain yield than all of the checks (103.3–114.4%) and exhibited good winter survival, medium height with excellent straw strength, large kernels, acceptable end-use quality, and broad disease resistance. AAC Elevate expressed moderate resistance to stem rust and common bunt, intermediate resistance to leaf rust, stripe rust and Fusarium head blight, and resistance to colonization by the wheat curl mite vector for wheat streak mosaic virus.

scholarly journals The influence of climatic conditions on the tree-ring width of wild service trees (Sorbus torminalis L.) in Wielkopolska

2016 ◽  
Vol 77 (2) ◽  
pp. 117-123 ◽  
Author(s):  
Anna Cedro
Keyword(s):  
Tree Ring ◽  
Negative Impact ◽  
Positive Impact ◽  
Ring Width ◽  
Climatic Conditions ◽  
Climatic Data ◽  
Pointer Years ◽  
The North ◽  
Sorbus Torminalis ◽  
Temperature And Precipitation

AbstractThe wild service tree (Sorbus torminalis L.) is a very rare tree species in Poland, where it reaches the north-eastern border of its natural range. The majority of this species’ stands is found in Wielkopolska. This study was aimed at examining the relationships between the growth and climate for trees of the species Sorbus torminalis L. growing in the Wielkopolska National Park and the Pniewy forest district (Wielkopolska). The samples for the analysis were taken from 63 trees. However, taking into account the missing growth rings and the difficult identification of the tree ring borders in sapwood, only ca. 30% of the samples could be synchronised and dated accurately. Applying the classic methods of dendrochronological dating, a 94- year STW chronology was constructed, spanning the years of 1920-2013. The chronology, in turn, was used as a basis for dendroclimatological analyses, including correlation, response function, and pointer years. The climatic data used in the analyses came from the meteorological station in Poznań; providing air temperature and precipitation for a period of 66 years (1948-2013) and 48 years of insolation data (1966-2013). Insolation had the highest negative impact and precipitation had the highest positive impact on the annual growth in May and June. Positive pointer years could be linked to humid months with low insolation during the growing season, while negative pointer years are characterised by deficient precipitation, a large number of sunny hours, and high air temperatures in the summer months.

scholarly journals Reanalysis of 47 Years of Climate in the French Alps (1958–2005): Climatology and Trends for Snow Cover

2009 ◽  
Vol 48 (12) ◽  
pp. 2487-2512 ◽  
Author(s):  
Yves Durand ◽  
Gérald Giraud ◽  
Martin Laternser ◽  
Pierre Etchevers ◽  
Laurent Mérindol ◽  
...  
Keyword(s):  
Snow Cover ◽  
Snow Depth ◽  
Numerical Models ◽  
High Elevation ◽  
Climatic Conditions ◽  
Spatial And Temporal Variability ◽  
The South ◽  
French Alps ◽  
Mountainous Regions ◽  
The North

Abstract Since the early 1990s, Météo-France has used an automatic system combining three numerical models to simulate meteorological parameters, snow cover stratigraphy, and avalanche risk at various altitudes, aspects, and slopes for a number of mountainous regions (massifs) in the French Alps and the Pyrenees. This Système d’Analyse Fournissant des Renseignements Atmosphériques à la Neige (SAFRAN)–Crocus–Modèle Expert de Prévision du Risque d’Avalanche (MEPRA) model chain (SCM), usually applied to operational daily avalanche forecasting, is here used for retrospective snow and climate analysis. For this study, the SCM chain used both meteorological observations and guess fields mainly issued from the newly reanalyzed atmospheric model 40-yr ECMWF Re-Analysis (ERA-40) data and ran on an hourly basis over a period starting in the winter of 1958/59 until recent past winters. Snow observations were finally used for validation, and the results presented here concern only the main climatic features of the alpine modeled snowfields at different spatial and temporal scales. The main results obtained confirm the very significant spatial and temporal variability of the modeled snowfields with regard to certain key parameters such as those describing ground coverage or snow depth. Snow patterns in the French Alps are characterized by a marked declining gradient from the northwestern foothills to the southeastern interior regions. This applies mainly to both depths and durations, which exhibit a maximal latitudinal variation at 1500 m of about 60 days, decreasing strongly with the altitude. Enhanced at low elevations, snow depth shows a mainly negative temporal variation over the study period, especially in the north and during late winters, while the south exhibits more smoothed features. The number of days with snow on the ground shows also a significant general signal of decrease at low and midelevation, but this signal is weaker in the south than in the north and less visible at high elevation. Even if a statistically significant test cannot be performed for all elevations and areas, the temporal decrease is present in all the studied quantities. Concerning snow duration, this general decrease can also be interpreted as a sharp variation of the mean values at the end of the 1980s, inducing a step effect in its time series rather than a constant negative temporal trend. The results have also been interpreted in terms of potential for a viable ski industry, especially in the southern areas, and for different changing climatic conditions. Presently, French downhill ski resorts are economically viable from a range of about 1200 m MSL in the northern foothills to 2000 m in the south, but future prospects are uncertain. In addition, no clear and direct relationship between the North Atlantic Oscillation (NAO) or the ENSO indexes and the studied snow parameters could be established in this study.

Estimated optimum seeding dates for winter wheat in Ontario

1993 ◽  
Vol 73 (2) ◽  
pp. 389-396 ◽  
Author(s):  
A. Bootsma ◽  
C. J. Andrews ◽  
W. L. Seaman ◽  
G. J. Hoekstra ◽  
A. E. Smid
Keyword(s):  
Triticum Aestivum ◽  
Linear Regression ◽  
Winter Wheat ◽  
Air Temperature ◽  
Triticum Aestivum L ◽  
Heat Unit ◽  
The North ◽  
Seeding Date ◽  
Regression Relationship ◽  
Optimum Period

Winter wheat (Triticum aestivum L.) must be seeded during an optimum period in the fall to achieve maximum yields. Present recommendations for fall seeding based on corn heat unit zones for Ontario have not been satisfactory in all areas. Results from seeding-date trials at five locations across Ontario confirmed the concept of a 2-wk optimum seeding period (OSP) for winter wheat. A highly significant non-linear regression relationship (R2 = 0.997) was established between the average optimum seeding date (OSD) for six locations in Ontario (taken as the mid-point of the OSP) and the average daily mean air temperature for the period 1 Sept. – 31 Oct. This relationship estimated OSDs more accurately for Ontario than a previously developed relationship based on data from across Canada. Climatic normals (1951–1980) data for more than 350 locations were used to construct 13 OSD zones for Ontario. Estimated OSD ranged from as late as 15 Oct. for the Windsor area to before 21 Aug. in the north around Kapuskasing. Average losses in yield from seeding after the OSP ranged from 75 kg ha−1 day−1 in southwestern Ontario to 40–65 kg ha−1 day−1 in eastern Ontario. Key words: Triticum aestivum L., optimum seeding date zones, climatic normals

INFLUENCE OF GENOTYPE, WATER AND N ON LEAF WATER RELATIONS IN NO-TILL WINTER WHEAT

1990 ◽  
Vol 70 (2) ◽  
pp. 431-441 ◽  
Author(s):  
M. H. ENTZ ◽  
D. B. FOWLER
Keyword(s):  
Water Stress ◽  
Winter Wheat ◽  
Osmotic Potential ◽  
Field Studies ◽  
Triticum Aestivum L ◽  
Leaf Conductance ◽  
Leaf Water ◽  
Fertilizer N ◽  
Evaporative Demand ◽  
N Additions

Field studies were established at four locations in 1985 and 1986 to study the physiological responses of two winter wheat (Triticum aestivum L.) cultivars under different water and nitrogen regimes. Measurements of leaf water potential (ψ1), osmotic potential (π) and leaf conductance (g1) were made on individual leaves at regular intervals throughout the growing season. Values of ψ1 ranged from −1.0 to −4.5 MPa, indicating that winter wheat in Saskatchewan experiences moderate to extreme levels of water stress. Leaf ψ1 levels generally decreased as evaporative demand for water increased. Osmotic potential values ranged from −1.0 to −4.0 MPa while ψp (calculated as ψp = ψ1 − π) ranged from −0.4 to 0.9 MPa. Despite strong osmotic adjustment in response to stress, positive ψp was not always maintained. Additional water through limited irrigation increased both ψ1 and π but did not significantly affect ψp. Fertilizer N additions consistently decreased both ψ1, and π, and in some cases ψp levels. The tall cultivar Norstar displayed greater turgor maintenance than the semidwarf cultivar Norwin under both stress and nonstress conditions. Leaf conductance ranged from approximately 0.04 – 1.10 cm s−1 and was higher in irrigated plots. Fertilizer N additions often decreased g1 per unit area of leaf. On a leaf area basis, g1 for Norwin at high N levels was often greater than for Norstar. However, similar g1 vs. ψ1 responses for Norwin and Norstar indicated a similar stomatal response to increased water stress for these cultivars.Key words: Drought stress, nitrogen, leaf conductance, turgor potential

Accipiter hard red winter wheat

2011 ◽  
Vol 91 (2) ◽  
pp. 363-365 ◽  
Author(s):  
D. B. Fowler
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Leaf Rust Resistance ◽  
Triticum Aestivum L ◽  
High Energy ◽  
General Purpose ◽  
Yield Potential ◽  
Western Canada ◽  
Hard Red Winter Wheat ◽  
Red Winter Wheat

Fowler, D. B. 2011. Accipiter hard red winter wheat. Can. J. Plant Sci. 91: 363–365. Accipiter is an intermediate height, high-yielding, winter wheat (Triticum aestivum L.) cultivar with good stem and moderate leaf rust resistance that is registered for production in western Canada. It is a hard red winter wheat cultivar that is eligible for grades of the Canada Western General Purpose (CWGP) wheat class. The CWGP class was created in 2007 to encourage the development of cultivars to fill the high energy demands of the biofuel and livestock feed markets in western Canada. The grain yield of Accipiter was 114% of the Canada Western Red Winter Wheat class grain quality check cultivar, CDC Osprey, and 103% of the high-yielding check, CDC Falcon. High grain yield potential combined with good agronomic and disease packages make Accipiter a good fit for the CWGP class.

scholarly journals Stubble options for winter wheat in the Black soil zone of western Canada

2013 ◽  
Vol 93 (2) ◽  
pp. 261-270 ◽  
Author(s):  
R. B. Irvine ◽  
G. P. Lafond ◽  
W. May ◽  
H. R. Kutcher ◽  
G. W. Clayton ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Winter Wheat ◽  
Spring Wheat ◽  
Protein Concentration ◽  
Triticum Aestivum L ◽  
Black Soil ◽  
Western Canada ◽  
Soil Zone ◽  
Spring Cereals ◽  
Barley Silage

Irvine, B. R., Lafond, G. P., May, W., Kutcher, H. R., Clayton, G. W., Harker, K. N., Turkington, T. K. and Beres, B. L. 2013. Stubble options for winter wheat in the Black soil zone of western Canada. Can. J. Plant Sci. 93: 261–270. Winter wheat (Triticum aestivum L.) production has yet to reach its full potential in the Canadian prairies. Alternative stubble types are needed to help overcome the challenge of timely planting of winter wheat in late-maturing canola (Brassica napus L.) fields. A study was conducted in the prairie provinces of Canada to determine ideal stubble types for winter wheat and select spring cereals grown in the Black soil zone. Spring wheat (Triticum aestivum L.), canola, pea (Pisum sativum L.), barley grain or silage (Hordeum vulgare L.), and oat (Avena sativa L.) stubbles were established at four locations in western Canada. A new study area was established at each location for 3 yr. In the year following establishment, winter wheat, hard red spring wheat, barley, and oats were grown on each stubble type at each study area. Winter wheat and spring cereal crops often yielded best and had greater grain protein concentration on barley silage, pea, and canola stubbles relative to other stubble types. The yield and grain protein concentration of spring cereals was best when grown on pea stubble. Winter wheat production attributes varied most among site by crop combinations, and further investigation indicated the source of this variability may be from winter wheat plantings on canola and pea stubble. Among the optimal stubbles, less variable results were observed when winter wheat was grown on barley silage stubble, suggesting proper crop residue management would reduce the variability observed in canola and pea stubble. Our results suggest stubble alternatives to canola are available for winter wheat plantings in western Canada.

CDC Clair winter wheat

1997 ◽  
Vol 77 (4) ◽  
pp. 669-671 ◽  
Author(s):  
D. B. Fowler
Keyword(s):  
Triticum Aestivum ◽  
Winter Wheat ◽  
Grain Yield ◽  
Protein Concentration ◽  
Grain Quality ◽  
Triticum Aestivum L ◽  
Western Canada ◽  
Agronomic Performance ◽  
Cultivar Description ◽  
Red Winter Wheat

CDC Clair is a high-yielding, strong-strawed, semidwarf winter wheat (Triticum aestivum L.) with good winterhardiness. When grown in western Canada, it has the high grain yield and agronomic performance of CDC Kestrel, but improved grain quality. The grain protein concentration of CDC Clair has been higher than that of CDC Kestrel and similar to Norstar. CDC Clair is eligible for grades of the Canada Western Red Winter Wheat class. Key words: Triticum aestivum L., cultivar description, wheat (winter)

scholarly journals Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages

2021 ◽  
Vol 169 (3-4) ◽  
Author(s):  
Florian Schierhorn ◽  
Max Hofmann ◽  
Taras Gagalyuk ◽  
Igor Ostapchuk ◽  
Daniel Müller
Keyword(s):  
Machine Learning ◽  
Winter Wheat ◽  
Developmental Stages ◽  
Crop Yields ◽  
Heat Waves ◽  
Wheat Yield ◽  
Climatic Conditions ◽  
Climatic Data ◽  
Weather Extremes ◽  
Tropical Night

AbstractRising weather volatility poses a growing challenge to crop yields in many global breadbaskets. However, empirical evidence regarding the effects of extreme weather conditions on crop yields remains incomplete. We examine the contribution of climate and weather to winter wheat yields in Ukraine, a leading crop exporter with some of the highest yield variabilities observed globally. We used machine learning to link daily climatic data with annual winter wheat yields from 1985 to 2018. We differentiated the impacts of long-term climatic conditions (e.g., temperature) and weather extremes (e.g., heat waves) on yields during the distinct developmental stages of winter wheat. Our results suggest that climatic and weather variables alone explained 54% of the wheat yield variability at the country level. Heat waves, tropical night waves, frost, and drought conditions, particularly during the reproductive and grain filling phase, constitute key factors that compromised wheat yields in Ukraine. Assessing the impacts of weather extremes on crop yields is urgent to inform strategies that help cushion farmers against growing production risks because these extremes will likely become more frequent and intense with climate change.

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