Temperature and precipitation effects on canola yields in Saskatchewan, Canada

Kutcher, H. Randy; Warland, J.; Brandt, S.A.

doi:10.1016/j.agrformet.2009.09.011

Cited by 101 publications

(94 citation statements)

References 25 publications

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“…Greaterthan-normal levels of precipitation can also lead to lower-than-normal temperatures. The negative temperature associations with canola yield are consistent with results from other studies (Kutcher et al 2010;Harker et al 2012).…”

Section: Site Conditions Favouring Canola Yieldsupporting

confidence: 82%

Canola rotation frequency impacts canola yield and associated pest species

et al. 2015

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G. 2015. Canola rotation frequency impacts canola yield and associated pest species. Can. J. Plant Sci. 95: 9Á20. Canola (Brassica napus L.) production has been steadily increasing in western Canada. Here we determine the effect of canola rotation frequency on canola seed yield, quality and associated pest species. From 2008 to 2013, direct-seeded experiments involving continuous canola and all rotation phases of wheat (Triticum aestivum L.) and canola or field pea (Pisum sativum L.), barley (Hordeum vulgare L.) and canola were conducted at five western Canada locations. Fertilizers, herbicides, and insecticides were applied as required for optimal production of all crops. Canola rotation frequency did not influence canola oil or protein concentration or the level of major (composition 1%) seed oil fatty acids. High canola yields were associated with sites that experienced cooler temperatures with adequate and relatively uniform precipitation events. For each annual increase in the number of crops between canola, canola yield increased from 0.20 to 0.36 Mg ha (1 . Although total weed density was not strongly associated with canola yield, decreased blackleg disease and root maggot damage were associated with greater canola yields as rotational diversity increased. Long-term sustainable canola production will increase with cropping system diversity.Key words: Blackleg, Delia spp., direct seeding, Leptosphaeria maculans, no-till, oilseed rape, root maggots, rotational diversity, weed populations Harker, K. N., O'Donovan, J. T., Turkington, T. K., Blackshaw, R. E., Lupwayi, N. Z., Smith, E. G., Johnson, E. N., Gan, Y., Kutcher, H. R., Dosdall, L. M. et Peng, G. 2015. La fre´quence des assolements de canola influe sur le rendement de la culture et sur les ravageurs qui s'y associent. Can. J. Plant Sci. 95: 9Á20. La production de canola (Brassica napus L.) n'a cesse´d'augmenter dans l'Ouest canadien. Les auteurs se sont inte´resse´s aux conse´quences de la fre´quence des assolements de canola sur le rendement grainier de cette culture, sur sa qualite´et sur les ravageurs qui y sont associe´s. De 2008 a`2013, ils ont effectue´des expe´riences de semis directs pour la monoculture de canola et les assolements de ble( Triticum aestivum L.) et de canola ou de pois de grande culture (Pisum sativum L.), d'orge (Hordeum vulgare L.) et de canola a`cinq endroits, dans l'ouest du Canada. Les engrais, les herbicides et les insecticides ont e´te´applique´s au besoin afin que chaque culture donne un rendement optimal. La fre´quence des assolements de canola ne modifie pas la concentration en huile ou en prote´ines du canola, ni la teneur des principaux (composition 1 %) acides gras pre´sents dans l'huile. Le rendement du canola est plus e´leve´aux endroits ou`la tempe´rature est plus fraıˆche et les pre´cipitations, suffisantes et relativement uniformes. Pour chaque hausse annuelle du nombre de cultures dans l'assolement, le rendement du canola augmente de 0,20 a`0,36 Mg par hectare. Bien que la densite´de peuplement globale des a...

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Section: Site Conditions Favouring Canola Yieldsupporting

confidence: 82%

Canola rotation frequency impacts canola yield and associated pest species

et al. 2015

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“…Temperature has evident impacts on canola seed formation during the reproductive phase when the seed yield is strongly correlated to air temperature (Faraji et al, 2009). Kutcher et al (2010) reported that canola yields were negatively correlated with the number of days with a daily maximum air temperature above 30°C on the Canadian Prairies. Very high temperature reduces seed yield by more than 50% through decreasing seed weight during reproduction (AksouhHarradj et al, 2006;Aksouh et al, 2001;Gan et al, 2004), especially during pod development when high temperature can severely reduce the number of fertile pod and seed numbers per pod (Gan et al, 2004).…”

Section: Discussion Heat Stress and Changes In Crop Harvest Index Wamentioning

confidence: 99%

Simulated Canola Yield Responses to Climate Change and Adaptation in Canada

et al. 2018

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A projected future warmer climate implies signifi cant impacts on canola (Brassica napus L.) production in Canada. We aimed to use a modeling approach to simulate climate change impacts on canola yield in Canada and to evaluate potential adaptation measures. Th e CSM-CROPGRO-Canola model was used to simulate the responses of canola to the projected climate change at Brandon on the Prairies, and West Nipissing and Normandin in eastern Canada. Future climate scenarios for the near (2041-2070) and distant (2071-2100) future under two representative concentration pathways (RCP4.5 and RCP8.5) were developed based on climate change simulations by a regional climate model CanRCM4. Seeding dates were estimated from air temperature, precipitation, and soil moisture to account for the potential of earlier seeding as an adaptation measure. Compared to the baseline climate, simulated seed yield reduction was 42, 21, and 24% in the near future and of 37, 27, and 23% in the distant future, under RCP4.5, respectively for Brandon, West Nipissing, and Normandin. A larger reduction was simulated under RCP8.5, especially in the distant future at Brandon and West Nipissing. Th e simulated seed yield reduction was associated with increases in heat and water stresses under rainfed conditions with current N fertilizer application rates. Coping with heat and water stresses is a big challenge for canola production in Canada under the projected climate change, especially on the Canadian Prairies.

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“…Most of the earlier climate crop yield studies were by agronomists and meteorologists who analyzed how weather/crop yield effects varied over the crop growth life cycle. The two basic approaches adopted by agronomists included simulationcrop growth models (Jones et al 2003;Lobell and OrtizMonasterio 2007;Qian et al 2009a,b;Lobell and Burke 2010;Asseng et al 2011;Wang et al 2011; Özdo gan 2011; Urban et al 2012;Potgieter et al 2013) and regression/ correlation analyses (Robertson 1974;McCaig 1997;Kutcher et al 2010;He et al 2013). Crop growth models required detailed plant physiological data, and in combination with simulated weather data from global circulation models, they were able to predict how crop yields such as wheat responded to climatic weather conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing Temperature and Precipitation Influences on Yield Distributions of Canola and Spring Wheat in Saskatchewan

Meng

Carew

Florkowski

et al. 2017

Journal of Applied Meteorology and Climatology

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The IPCC indicates that global mean temperature increases of 28C or more above preindustrial levels negatively affect such crops as wheat. Canadian climate model projections show warmer temperatures and variable rainfall will likely affect Saskatchewan's canola and spring wheat production. Drier weather will have the greatest impact. The major climate change challenges will be summer water availability, greater drought frequencies, and crop adaptation. This study investigates the impact of precipitation and temperature changes on canola and spring wheat yield distributions using Environment Canada weather data and Statistics Canada crop yield and planted area for 20 crop districts over the 1987-2010 period. The moment-based methods (full-and partial-moment-based approaches) are employed to characterize and estimate asymmetric relationships between climate variables and the higher-order moments of crop yields. A stochastic production function and the focus on crop yield's elasticity imply choosing the natural logarithm function as the mean function transformation prior to higher-moment function estimation. Results show that average crop yields are positively associated with the growing season degree-days and pregrowing season precipitation, while they are negatively affected by extremely high temperatures in the growing season. The climate measures have asymmetric effects on the higher moments of crop yield distribution along with stronger effects of changing temperatures than precipitation on yield distribution. Higher temperatures tend to decrease wheat yields, confirming earlier Saskatchewan studies. This study finds pregrowing season precipitation and precipitation in the early plant growth stages particularly relevant in providing opportunities to develop new crop varieties and agronomic practices to mitigate climate changes.

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Temperature and precipitation effects on canola yields in Saskatchewan, Canada

Cited by 101 publications

References 25 publications

Canola rotation frequency impacts canola yield and associated pest species

Canola rotation frequency impacts canola yield and associated pest species

Simulated Canola Yield Responses to Climate Change and Adaptation in Canada

Analyzing Temperature and Precipitation Influences on Yield Distributions of Canola and Spring Wheat in Saskatchewan

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