A genotype, environment and management (GxExM) analysis of adaptation in winter wheat to climate change in Denmark

• Published in: Agricultural and forest meteorology 2014-04, Vol.187, p.1-13
• Main Authors: Martín, Manuel Montesino-San, Olesen, Jørgen E., Porter, John R.
• Format: Article
• Language: English
• Subjects: Adaptation; Agricultural and forest climatology and meteorology. Irrigation. Drainage; Agronomy. Soil science and plant productions; Biological and medical sciences; Climate change; Climate models; Crops; Europe; Fundamental and applied biological sciences. Psychology; General agronomy. Plant production; Latitude; Management; Optimization; Triticum aestivum; Uncertainty; Wheat; Winter; Winter wheat
• ISSN: 0168-1923; 1873-2240
• DOI: 10.1016/j.agrformet.2013.11.009

•We model winter wheat yields under climate change with changes in genetics and management for adaptation.•We examine trends in yield and suitability and uncertainties of adaptations.•Climate change scenarios lead to yield increase in the medium term and reductions by the end of 21st century.•Crop development exhibits the highest sensitivity to climate change and the largest adaptation potential through genetic change.•Interactions between adaptation options make a combined adaptation assessment and multi-target breeding program suitable. Wheat yields in Europe have shown stagnating trends during the last two decades, partly attributed to climate change. Such developments challenge the needs for increased production, in particular at higher latitudes, to meet increasing global demands and expected productivity reductions at lower latitudes. Climate change projections from three General Circulation Models or GCMs (UKMO-HadGEM1, INM-GM3.0 and CSIRO-Mk3.1) for the A1FI SRES emission scenario for 2000 to 2100 were downscaled at a northern latitude location (Foulum, Denmark) using LARS-WG5.3. The scenarios accounted for changes in temperature, precipitation and atmospheric CO2 concentration. In addition, three temperature-variability scenarios were included assuming different levels of decreased temperature variability in winter and increased in summer. Crop yield was simulated for the different climate change scenarios by a calibrated version of AFRCWHEAT2 to model several combinations of genotypes (varying in crop growth, development and tolerance to water and nitrogen scarcity) and management (sowing dates and nitrogen fertilization rate). The simulations showed a slight improvement of grain yields (0.3–1.2Mgha−1) in the medium-term (2030–2050), but not enough to cope with expected increases in demand for food and feed. Optimum management added up to 1.8Mgha−1. Genetic modifications regarding winter wheat crop development exhibit the greatest sensitivity to climate and larger potential for improvement (+3.8Mgha−1). The results consistently points towards need for cultivars with a longer reproductive phases (2.9–7.5% per 1°C) and lower photoperiod sensitivities. Due to the positive synergies between several genotypic characteristics, multiple-target breeding programmes would be necessary, possibly assisted by model-based assessments of optimal phenotypic characteristics.