Open Access
Translator Disclaimer
13 September 2021 Canadian spring hexaploid wheat (Triticum aestivum L.) cultivars exhibit broad adaptation to ultra-early wheat planting systems
Graham R.S. Collier, Dean M. Spaner, Robert J. Graf, Cindy A. Gampe, Brian L. Beres
Author Affiliations +
Abstract

Ultra-early wheat growing systems based on soil temperature triggers for planting instead of arbitrary calendar dates can increase grain yield and overall growing system stability of spring wheat (Triticum aestivum L.) on the northern Great Plains. We conducted field trials at three sites in western Canada from 2017 to 2019 to evaluate the suitability of Canadian spring hexaploid wheat cultivars and market classes for use within ultra-early spring wheat growing systems. All cultivars and classes exhibited improved grain yield stability (lower adjusted coefficient of variation values) and optimal grain yield when planted ultra-early at 2 °C soil temperature rather than delaying planting to 8 °C.

Introduction

Canada was the sixth largest global producer (32.3 MT) and third largest exporter (22.8 MT) of wheat (Triticum aestivum L.) in 2019 (FAOSTAT 2021). The average wheat grain yield in Canada has more than doubled from 1.5 Mg·ha−1 (1961–1970) to 3.2 Mg·ha−1 (2010–2019) as a result of improved genetics, agronomic management, synthetic fertilizer use, adoption of new technology and mechanization, and increased growing system efficiency (Beres et al. 2020; FAOSTAT 2021). Ultra-early seeding systems have been proposed as a new management approach to increase current grain yield; and enhance the resiliency of Canadian spring wheat growing systems against impending negative yield impacts of climate change (Collier et al. 2020; Collier et al. 2021). Wheat grain yield reduction on the northern Great Plains has been predicted in multiple studies, primarily as a result of reduced in-season precipitation and increased daily temperatures during the critical grain fill period (Kouadio et al. 2015; He et al. 2018; Qian et al. 2019; Collier et al. 2020). An early seeding strategy to avoid environmental stress during grain filling periods has been evaluated in the Australian grain belt and the United States Pacific Northwest (Kirkegaard et al. 2015; Hunt et al. 2018). Ultra-early wheat seeding systems for the northern Great Plains growing region are based on the use of soil temperatures to trigger planting, combined with optimized agronomic management, and are characterized by planting into soils at 2 °C–6 °C and maintaining optimal seeding rates of 400 seeds m−2. Previously, we evaluated ultra-early wheat seeding systems using experimental cold tolerant spring wheat lines and one Canada Western Red Spring (CWRS) cultivar as a standard check (Collier et al. 2020). Wheat cultivar did not impact grain yield stability in this study; however, a broad evaluation of multiple Canadian spring wheat market classes and hexaploid spring wheat cultivars for adaptation to ultra-early spring wheat growing systems has not been completed to date. The purpose of the present study is to investigate grain yield and grain yield stability of multiple western Canadian spring wheat market classes and registered western Canadian hexaploid spring wheat cultivars planted in an ultra-early wheat seeding system on the northern Great Plains.

Materials and Methods

We conducted the present study at three sites in western Canada in 2017 and 2018, and one site in 2019 resulting in seven total site-years (Table 1). The experiment was seeded as a factorial randomized complete block design with four blocks. Treatment combinations consisted of two seeding dates and twelve wheat cultivars (Table 2). Wheat cultivars were selected based on a combination of the significance of the seeded area of the cultivar within its wheat class in 2016, and the widest genetic variation available within commercial Canadian cultivars for vernalization, photoperiod and height genes (Kamran et al. 2013; Canadian Grain Commission 2021; Statistics Canada 2021). Soil temperatures were determined, and seeding was triggered as previously reported (Collier et al. 2021, 2020). To identify spring wheat lines and classes with increased sensitivity to ultra-early seeding, a sowing density of 200 viable seeds m−2, known to be sub-optimal in ultra-early wheat seeding systems, was used (Collier et al. 2021). Seeding equipment and operations, nutrient and pest management and data collection was completed as reported by Collier et al. (2021).

Table 1.

Post-seeding air temperature extremes and cumulative freezing events recorded at each location × year.

cjps-2021-0155tab1.gif

Table 2.

Least square means for grain yield, grain quality parameters, and plant counts for multiple western Canada wheat cultivars/classes planted ultra-early.

cjps-2021-0155tab2.gif

Statistical analyses were completed using the MIXED procedure of SAS (Version 9.4, Cary, NC, USA) and followed the procedure of Collier et al. (2021), with the exception that the combined ANOVA was completed with site-year, replication, soil temperature trigger and cultivar as variables in the CLASS statement (SAS Institute 2018).

An LSMESTIMATE statement for grain yield with soil temperature trigger × cultivar as a fixed effect was used to compare the grain yield of each cultivar when seeded at either 2 °C or 8 °C soil temperature.

A biplot grouping methodology using mean grain yield on the vertical axis and adjusted coefficient of variation (aCV) on the horizontal axis, as originally described by Francis and Kannenberg (1978) and modified by Doring and Reckling (2018), was used to explore system stability and variability of grain yield with multiple wheat cultivars and wheat classes. We categorized data on the biplots into four groups/quadrants divided by the mean aCV and the mean grain yield of the growing system: (Group I) high mean grain yield and low variability, (Group II) high mean grain yield and high variability, (Group III) low mean grain yield and high variability, and (Group IV) low mean grain yield and low variability.

Results

Environmental conditions

Planting was earlier, and all sites experienced more cold stress after seeding in 2017 than in 2018 or 2019. The earliest planting was in Lethbridge, AB on March 20 of 2017. The Scott, SK site was planted on 31 Mar. and the Edmonton, AB site was planted on 7 Apr. of 2017. Prolonged snow cover in 2018 resulted in all locations planting between 23 Apr. and 27 Apr.; in 2019, the first planting date at the Lethbridge site was 2 Apr. After initial plantings, each site-year experienced multiple nights of ambient air temperatures below freezing. In 2017, the Scott site experienced the harshest conditions of the study, with 27 nights of ambient air temperatures below freezing after planting; the lowest temperature observed was −9.4 °C. The Lethbridge and Edmonton sites recorded 17 and 14 nights, respectively, of ambient air temperatures below freezing after planting in 2017, with temperatures as low as −7.6 °C and −6.1 °C, respectively.

Accumulated precipitation fell below the 30-yr average for all seven site-years. The Lethbridge site received the least precipitation in 2017 and 2019, which was 66% and 67% of the 30-yr average respectively, and the Scott site received the least precipitation in 2018, (70% of the 30-yr average). Initial planting dates, environmental information and additional climatic, and site-specific information is included in Table 1.

Grain yield, grain quality, and plant establishment

Planting trigger did not have a significant effect on grain protein content, grain test weight, thousand kernel weight, grain yield or plant establishment. There was no negative impact of ultra-early seeding on grain quality or grain yield (Table 2).

Wheat cultivars and classes varied (P < 0.001) for all grain yield, grain quality, and plant establishment variables (Table 2). In general, the CWRS and Canada Prairie Spring Red (CPSR) cultivars displayed the greatest grain protein concentration and lower grain yield, and the Canada Western Soft White Spring (CWSWS), Canada Western Special Purpose (CWSP) and cold tolerant (CT) experimental lines accumulated lower grain protein content and greater grain yield. Potential differential performance of a cultivar planted at 2 °C soil temperature versus at 8 °C soil temperature may have been masked by the lack of a significant planting soil temperature ×cultivar interaction. This was further confirmed by performing an LSMEstimate within the PROC MIXED procedure of SAS which did not detect yield differences between the ultra-early 2 °C and 8 °C soil temperature planting time (Table 2). Analysis of plant establishment data indicated no difference within cultivars in the number of live plants between ultra-early and conventional planting timing with the exception of CDC Plentiful (CWRS), which displayed a greater number of viable plants at the ultra-early planting time (data not shown).

Wheat class and grain yield stability

To visualize the effect of planting date, wheat cultivar and wheat class on grain yield and growing system stability, a modified biplot grouping methodology was employed. The original methodology of Francis and Kannenberg (1978) was modified to include an adjusted coefficient of variation (aCV) in the place of a traditional coefficient of variation as described by Doring and Reckling (2018). The use of an aCV negates the dependence of system stability on the magnitude of the realized grain yield. Biplot A in Fig. 1 illustrates the stability of each cultivar when planted ultra-early into 2 °C soil and when planted into soil at 8 °C. All points related to the 8 °C soil temperature planting trigger are located right of the mean aCV value and are located in Groups II and III of the biplot; which are defined by lower grain yield stability than the data points in Groups I and IV. All of the cultivars planted ultra-early are represented on the left side of the mean aCV value, in Groups I and IV. This indicates the greatest grain yield stability occurred when the cultivars in this study were planted at an ultra-early timing triggered by 2 °C soil temperatures despite the harsh environmental conditions experienced after planting. Biplot B presents the same data points grouped by Canadian wheat market class rather than by specific cultivar. The CWSWS and CWSP cultivars had the greatest grain yield, while CPSR and CWRS cultivars had relatively lower grain yield. Relative grain yield between wheat classes was consistent regardless of planting time. All wheat classes performed similarly in response to ultra-early planting, with similar grain yields relative to planting at 8 °C, but exhibited improved grain yield stability and thus, improved growing system stability when planted in 2 °C soil.

Fig. 1.

Biplots summarizing grain yield means versus adjusted coefficient of variation (aCV) for each wheat cultivar planted at each soil temperature (A), and for each Canadian wheat market class planted at each soil temperature (B). Abbreviations are as follows: (I) The first word represents the soil temperature at planting (early = 2 °C soil temperature, late = 8 °C soil temperature). (II) The second word denotes the wheat cultivar in Biplot A (See Table 2 for full wheat cultivar names), or the functional class of the wheat cultivar in Biplot B (CWRS, Canada Western Red Spring; CPSR, Canada Prairie Spring Red; CWSWS, Canada Western Soft White Spring; CWSP, Canada Western Special Purpose; CT, cold tolerant). The use of colour serves to group data points by soil temperature at planting (Biplot A), and by wheat functional class (Biplot B). Biplot group definitions: (Group I) high mean grain yield and low variability; (Group II) high mean grain yield and high variability; (Group III) low mean grain yield and high variability; (Group IV) low mean grain yield and low variability.

cjps-2021-0155f1.tif

Discussion

We have reported that planting wheat ultra-early based on soil temperature on the northern Great Plains of western Canada not only maintained grain yield, but can also lead to increased grain yield over delayed planting (Collier et al. 2021, 2020). These previous studies reported that specially developed cold tolerant spring wheat lines were not required to successfully plant wheat ultra-early; however, these studies only evaluated one cultivar from the CWRS wheat class. Here, we evaluated nine wheat cultivars from four Canadian wheat market classes, as well as three cold tolerant lines. In all cases, when wheat cultivars were planted earlier (2 °C soil temperatures in the top 5 cm of soil) the growing system stability was superior to the same cultivars planted later at 8 °C soil temperatures. Collier et al. (2021) evaluated manipulations to agronomic management of ultra-early wheat seeding systems to increase grain yield and growing system stability, and reported that using optimal seeding rates (400 seeds m−2) was a critical agronomic management strategy to maintain or increase grain yield and growing system stability in an ultra-early wheat seeding system. In the present study, a sub-optimal seeding rate (200 seeds m−2) was used to identify wheat cultivars or classes susceptible to decreases in grain yield or growing system stability as a result of ultra-early seeding. The lack of a negative response in grain yield and growing system stability when planted ultra-early at sub-optimal seeding rates indicates that broad adaptation to ultra-early seeding systems exists within a majority of Canadian wheat germplasm and commercially available cultivars representing dominant market classes in western Canada.

This work corroborates the results of previous studies and supports the expansion of current ultra-early wheat growing system recommendations to include additional wheat classes in western Canada. Spring wheat from Canadian wheat market classes including, but not limited to, CWRS, CWSWS, CPSR, CWSP and Canada Northern Hard Red (CNHR) can successfully be planted in ultra-early wheat growing systems. The impacts of a changing climate including fewer precipitation events and increased daily temperatures may disproportionately affect higher-yielding, lower protein wheat cultivars such as CWSWS and CWSP class cultivars that require longer grain-filling periods and longer growing seasons. Shifting planting to earlier in the season and optimizing agronomic management within an ultra-early wheat growing system acts as an avoidance mechanism to negate, or reduce, future grain yield losses resulting from climate change. In such a scenario, a shift to ultra-early seeding may serve as a mitigation strategy to maintain current grain yield potential and achieve further yield gap closure on the northern Great Plains.

Conclusions

Canadian hexaploid spring wheat cultivars exhibited broad suitability for use in ultra-early wheat growing systems. The most successful ultra-early wheat growing systems will incorporate commercial Canadian hexaploid spring wheat cultivars, planted at optimal seeding densities of not less than 400 seeds m−2, when soil temperatures of 2 °C–6 °C in the top 5 cm of the soil surface are first observed. Ultra-early growing systems incorporating these management tactics will lead to increased grain yield and grain yield stability relative to current conventional wheat growing practices and increase the resiliency of wheat growing systems on the northern great plains.

Competing Interests

The authors declare there are no competing interests.

Author Contributions

Mr. Collier, Senior Corresponding Author — co-developed and conceptualized the hypotheses and field experiments. Used project for partial fulfilment of PhD thesis requirements at the University of Alberta. Analyzed data and prepared manuscript. Participated in meetings and presented findings at conferences, field days and grower meetings.

Dr. Beres, Co-Investigator/Corresponding Author — co-developed and conceptualized the hypotheses and field experiments. Identified and recruited Collaborators, PhD student, and led workshops to finalize proposal. Participated in meetings and presented findings at conferences, field days and grower meetings. Co-supervises Mr. Graham Collier.

Dr. Graf, Co-Investigator — developed cold-tolerant lines used for field experiments. Reviewed and edited manuscript.

Ms. Gampe, Co-Investigator — site collaborator at Scott, SK Research Farm. Reviewed and edited manuscript.

Dr. Spaner, Principal Investigator — responsible for the field experimentation at the Edmonton sites. Co-Supervisor of Mr. Graham Collier. Reviewed and edited manuscript and mentored manuscript preparation and statistical analyses.

Acknowledgements

The authors wish to thank many contributing technicians and staff for their time and effort in the completion of this study: at Agriculture and Agri-food Canada Lethbridge, (Ryan Dyck, Steve Simmill, Warren Taylor, and many seasonal staff), at Agriculture and Agri-Food Canada Scott, (Arlen Kapiniak and many seasonal staff), and the staff at the University of Alberta (Klaus Strenzke, Muhammad Iqbal, Fabiana Dias, Joseph Moss, Tom Keady, Katherine Chabot, Lindsay Jessup and Russell Puk). This study was funded by the Alberta Wheat Commission, project number 17AWC44A, and additional core funding was provided by the Western Grains Research Foundation. We thank the Alberta Wheat Commission, Western Grains Research Foundation and the wheat producers of Alberta for their support.

References

1.

Beres, B.L., Hatfield, J.L., Kirkegaard, J.A., Eigenbrode, S.D., Pan, W.L., Lollato, R.P., et al. 2020. Toward a better understanding of genotype × environment × management interactions—a global wheat initiative agronomic research strategy. Front. Plant Sci. 11. Google Scholar

2.

Canadian Grain Commission. 2021. Variety designation lists [Online]. Canadian Grain Commission. Available from  https://grainscanada.gc.ca/en/grain-quality/variety-lists/Google Scholar

3.

Collier, G.R.S., Spaner, D.M., Graf, R.J., and Beres, B.L. 2020. The integration of spring and winter wheat genetics with agronomy for ultra-early planting into cold soils. Front. Plant Sci. 11: 89. https://doi.org/10.3389/fpls.2020.00089Google Scholar

4.

Collier, G.R.S., Spaner, D.M., Graf, R.J., and Beres, B.L. 2021. Optimal agronomics increase grain yield and grain yield stability of ultra-early wheat seeding systems. Agronomy, 11: 240. https://doi.org/10.3390/agronomy11020240Google Scholar

5.

Doering, T.F., and Reckling, M. 2018. Detecting global trends of cereal yield stability by adjusting the coefficient of variation. Eur. J. Agron. 99: 30–36. https://doi.org/10.1016/j.eja.2018.06.007Google Scholar

6.

Faostat. 2021. Food and Agricultural Organization Statistical Databases. Rome, Italy. [Online]. Available from  http://www.fao.org/faostat/en/#data Google Scholar

7.

Francis, T.R., and Kannenberg, L.W. 1978. Yield stability studies in short-season maize. 1. descriptive method for grouping genotypes. Can. J. Plant. Sci. 58: 1029–1034. https://doi.org/10.4141/cjps78-157Google Scholar

8.

He, W., Yang, J.Y., Qian, B., Drury, C.F., Hoogenboom, G., He, P., et al. 2018. Climate change impacts on crop yield, soil water balance and nitrate leaching in the semiarid and humid regions of Canada. PLoS ONE, 13. https://doi.org/10.1371/journal.pone. 0207370Google Scholar

9.

Hunt, J.R., Hayman, P.T., Richards, R.A., and Passioura, J.B. 2018. Opportunities to reduce heat damage in rain-fed wheat crops based on plant breeding and agronomic management. Field Crop. Res. 224: 126–138. https://doi.org/10.1016/j.fcr.2018.05.012Google Scholar

10.

Kamran, A., Randhawa, H.S., Pozniak, C., and Spaner, D. 2013. Phenotypic Effects of the Flowering Gene Complex in Canadian Spring Wheat Germplasm. Crop Sci. 53: 84–94. https://doi.org/10.2135/cropsci2012.05.0313Google Scholar

11.

Kirkegaard, J.A., Lilley, J.M., Hunt, J.R., Sprague, S.J., Ytting, N.K., Rasmussen, I.S., and Graham, J.M. 2015. Effect of defoliation by grazing or shoot removal on the root growth of field-grown wheat (Triticum aestivum L.). Crop Pasture Sci. 66: 249–259. https://doi.org/10.1071/cp14241Google Scholar

12.

Kouadio, L., Newlands, N., Potgieter, A., Mclean, G., and Hill, H. 2015. Exploring the potential impacts of climate variability on spring wheat yield with the APSIM decision support tool. Agri. Sci. 6: 686–698. https://doi.org/10.4236/as.2015.67066Google Scholar

13.

Qian, B., Zhang, X., Smith, W., Grant, B., Jing, Q., Cannon, A.J., et al. 2019. Climate change impacts on Canadian yields of spring wheat, canola and maize for global warming levels of 1.5 degrees C, 2.0 degrees C, 2.5 degrees C and 3.0 degrees C. Environ. Res. Lett. 14. https://doi.org/10.1088/1748-9326/ab17fbGoogle Scholar

14.

SAS Institute Inc. 2018. SAS/STAT 9.4 User's Guide [Online]. Cary, NC, USA. Google Scholar

15.

Statistics Canada. 2021. Cereal varieties by acreage insured - 2016 [Online]. Available from  https://open.canada.ca/data/en/dataset/5103e1c1-d34d-4775-88a3-fd7cdd536967Google Scholar
© 2021 Authors G.R.S. Collier and D.M. Spaner, and her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada.
Graham R.S. Collier, Dean M. Spaner, Robert J. Graf, Cindy A. Gampe, and Brian L. Beres "Canadian spring hexaploid wheat (Triticum aestivum L.) cultivars exhibit broad adaptation to ultra-early wheat planting systems," Canadian Journal of Plant Science 102(2), 442-448, (13 September 2021). https://doi.org/10.1139/CJPS-2021-0155
Received: 26 June 2021; Accepted: 27 August 2021; Published: 13 September 2021
JOURNAL ARTICLE
7 PAGES


Share
SHARE
KEYWORDS
agronomie
agronomy
blé
Climat
Climate
cultivar
cultivar
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top