Determination of Sensitivity of the Winter Wheat Crop to Meteorological Factors by DAISY Model

Abstract

Determination of Sensitivity of the Winter Wheat Crop to Meteorological Factors by DAISY Model Nilcan Altınbaş1*, Mahir Aydın1, İrem Özmen1, Barış Çaldağ1, Levent Şaylan1 1 Istanbul Technical University, Faculty of Aeronautics and Astronautics, Department of Meteorological Engineering, Istanbul, TURKEY [*]akatas@itu.edu.tr [*] Corresponding author: akatas@itu.edu.tr [*] ABSTRACT Climate change or climate variability has always pose a risk for sustainable agricultural production. Changes in meteorological factors may have different effects on different phenological stages of plants. For this reason, not only the quantitative change of meteorological factors but also the temporal variation of these factors’ effects of plant growth and yield should be investigated. In this study, DAISY crop growth simulation model was used to analyze the sensitivity of winter wheat plant to meteorological factors during flowering period. In this context, the effect of changes in temperature, rainfall and total solar radiation during the flowering period has been examined. Key words:Climate change, Crop growth, Crop yield [*] Corresponding author: akatas@itu.edu.tr

Crop models and their use in assessing crop production and food security: A review

“…Daisy is mainly applied in Europe and Asia (Table 4). Mostly, to estimate crop response to nitrogen fertilization (Olesen et al, 2002); crop growth, grain yield, aboveground biomass, and harvest index response to climate (Palosuo et al (2011); crop growth and nitrogen dynamics in the soil for monoculture and intercropping systems (Manevski et al, 2015); impacts of rainfall patterns on crop growth, yield, and harvesting dates in semi-arid sites, identifying drought stress and yield losses (Beyer et al, 2016); crop yield response to diverse temperature and radiation scenarios (Aydın et al, 2018); effects of soil organic carbon on nitrogen supply and water availability to crop production (Ghaley et al, 2018); crop yield, soil water drainage, and nitrogen leaching modeling responses to multi-weather and single-weather data and varied irrigation schemes (Manevski et al, 2019); and nitrogen export and uptake and transformations in cropping systems (Yin, Kersebaum, et al, 2020). Historically, Daisy overestimated nitrogen uptake (Olesen et al, 2002), but is now able to appropriately simulate crop growth and nitrogen dynamics of mono and intercropping systems (Manevski et al, 2015).…”