APSIM-Wheat and CERES-Wheat were calibrated for all five wheat cultivars using genetic coefficients estimated based upon measured data during 2008–09 cropping year and validated with independent data sets (experimental data of 2009––11 cropping seasons) which were not used for models calibration. The experiments were laid out in Randomized Complete Block Design (RCBD) replicated four times with individual plot size of 5 m × 3 m. Five wheat cultivars of diverse origin namely Tatara, NARC-2009, Sehar-2006, SKD-1 and F-Sarhad were planted on 19th November, at Islamabad during the years 2007–2011. We applied a manual method to calibrate APSIM-Wheat and CERES-Wheat for the flowering day, maturity day, leaf area index, biomass and grain yield of five spring wheat cultivars under rainfed conditions in Pakistan.
Model calibration is necessary for application to new cultivars and environment.
The improved wheat model was evaluated in different environments and can be used to evaluate genotypic variations in traits related to water productivity.Crop growth in process based crop models is controlled by different parameters. tiller number and leaf area index) during the growing season. The new model allows more accurate predictions of major traits related to canopy development (e.g. leaf size and life span) by using the plant model framework (PMF) in APSIM Next Generation. An improved wheat model has been developed with, in particular, distinction of between the different tillers and their characteristics (e.g. Field experiments were conducted in 20 to assess variation and covariation in traits related to canopy development, e.g. However, the model requires further effort to accurately simulate important traits associated with enhanced water productivity, especially during the vegetative stage. The APSIM-Wheat model has proved useful to address how to best combine traits for region-specific and management-specific adaptation of new genotypes. Traits related with water productivity in dryland cropping interact in multiple ways to influence final grain yield.
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