HUME-OSR was developed and evaluated for winter rapeseed in Germany. WOFOST-GTC was developed to simulate the yield and oil quality of winter rapeseed. Several widely used crop models simulate canola growth such as APSIM-Canola, DAISY-Rape, DSSAT-Rape, and EPIC-Rape.
Apsim model phyllochron rate sensitivity how to#
Research on how to increase production under new management practices and genetics is needed to increase domestic production.Ĭrop growth models have been widely used around the world to study optimal field management practices, interactions between genetics and the environment, and develop strategies to mitigate the impact of climate change, leading to increased food production. However, there are few studies using crop models to optimize management strategies for rapeseed. There are numerous studies on rapeseed response to different management practices and response mechanisms under abiotic stress. Rapeseed yield is primarily affected by nitrogen fertilizer, plant density and planting date. China is the largest global producer of rapeseed, with an annual production of approximately 16 MT and an average yield of approximately 1950 kg ha -1 in 2015. Despite the current rise in domestic production of edible oil, a large percentage is still imported from other countries. Rapeseed ( Brassica napus) is the largest domestic source of vegetable oil in China, which accounts for 47% of the global supply. The results of this work can be used to guide researchers on model calibration and evaluation across the Yangtze River basin in China. Excellent nRMSE values were obtained for days to flowering (≤1.71%), days to maturity (≤ 1.48%), yield (≤ 9.96%), and above-ground biomass (≤ 9.63%). The model was calibrated using two seasons and evaluated using three seasons of data. The results of the sensitivity analysis were used to calibrate and evaluate the model for a single rapeseed experiment in Wuhan, China.
The sensitivity of parameters was generally spatially and temporally stable. The five model outputs were also sensitive to several soil parameters, including drained upper and lower limit (SDUL and SLLL) and drainage rate (SLDR). Results indicated that the model outputs of days to flowering, days to maturity, yield, above-ground biomass, and maximum leaf area index were most sensitive to parameters that affect the duration of critical growth periods, such as emergence to flowering, and temperature response to these stages, as well as parameters that affect total biomass at harvest. Parameters were ranked using the top-down concordance method to determine relative sensitivity.
Apsim model phyllochron rate sensitivity software#
The EFAST software was run for 4520 combinations of input parameters for each site and year, resulting in a sensitivity index for each input parameter.
The extended Fourier amplitude test method (EFAST) sensitivity analysis was performed for a single year at 8 locations in the Yangtze River basin (spatial analysis) and for seven years at a location in Wuhan, China (temporal analysis). First, we conducted a global sensitivity analysis to identify key genetic and soil inputs that have a large effect on simulated days to flowering, days to maturity, yield, above-ground biomass, and maximum leaf area index. The overall goal of this work was to identify key inputs to the CROPGRO-Canola model for calibration with limited datasets in the Yangtze River basin. The CROPGRO-Canola model has not been used to simulate rapeseed in China. Researchers often use tools such as crop models to determine optimum management practices for new varieties to increased production. Increasing domestic rapeseed production is an important national goal in China.