Climate Change, Agricultural Inputs, Cropping Diversity, and Environmental Covariates in Multivariate Analysis of Future Wheat, Barley, and Canola Yield in Canadian Prairies, a Case Study
| Autor: | Eric N. Johnson, Stewart A. Brandt, Taras E. Lychuk, Roberto C. Izaurralde, Alan P. Moulin, Owen Olfert, Reynald Lemke |
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| Rok vydání: | 2017 |
| Předmět: |
food.ingredient
010504 meteorology & atmospheric sciences business.industry Crop yield Soil Science Growing season Climate change Context (language use) 04 agricultural and veterinary sciences Growing degree-day 01 natural sciences food Agronomy Agriculture 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science business Canola Cropping 0105 earth and related environmental sciences |
| Zdroj: | Canadian Journal of Soil Science. |
| ISSN: | 1918-1841 0008-4271 |
| DOI: | 10.1139/cjss-2016-0075 |
| Popis: | Canada’s grain and oilseed production in the Canadian Prairies may be affected by climate change, but the impact of input and diversity has not been assessed relative to projected variability in precipitation and temperature. This study assessed wheat, canola, and barley yields simulated with the environmental policy integrated climate model for historical weather and future climate scenarios in the context of agricultural inputs and cropping diversity at Scott, SK, Canada. Variation of future yield was explored with recursive partitioning in multivariate analyses of inputs, cropping diversity, future growing season precipitation (GSP), and growing degree days (GDD). Agricultural inputs significantly affected wheat yield but not barley or canola. Wheat yield was highest under the reduced input level and lowest under the organic input level. The combination of input and diversity accounted for about one-third of variation in future wheat yield and approximately 10% for barley yield. Most of the variability... |
| Databáze: | OpenAIRE |
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