Document Type : Research Paper
Authors
1 Department of Agronomy and Plant Breeding, University College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
2 Department of Agroecology, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran
Abstract
The present study was conducted to parameterization and evaluation of the APSIM-Wheat and APSIM-Barley sub models to simulation of yield and phenological traits of some wheat, barley and triticale cultivars in Alborz province. The inputs of the model included soil, climatic, plant and management information. In order to record the aforementioned information, a four-year experiment was conducted. To parametrize the model and determining the genetic coefficients of the studied cultivars, two-year field experiments were conducted in randomized complete block design with 14 treatments (six barley, six wheat and two triticale cultivars) and with three repetitions in the Atomic Energy Organization farm in 2014-2015 and the Faculty of Agriculture of Tehran University in 2016-2017. By using field experimental data, genetic coefficients of cultivars were identified and the model was localized based on it. In order to evaluate the field sampling model (in 2018-2019 and 2019-2020), 60 selected farms in Alborz province were taken. The results of the simulation of flowering and physiological maturity stages by using the APSIM-Wheat and APSIM-Barley sub models showed a very good agreement between the simulated and observed experimental values in all studied wheat, barley and triticale cultivars and the model was able to predict phenological traits with excellent quality and acceptable accuracy (nRMSE ˂ 10%). In both years of the experiment, the normalized root mean square value (nRMSE) was less than five percent for grain and biological yield of wheat, barley, and triticale cultivars. APSIM model was able to estimate the phenological stages and yield of plants with excellent quality and acceptable accuracy. Other model evaluation indicators (CRM, D-index and R2) also confirmed the robustness of the mentioned sub models. The agreement of simulated values of phenological and functional traits of triticale cultivars was greater than that of wheat and barley cultivars. In barley cultivars the agreement of simulated values of yields was also higher than wheat cultivars. Therefore, based on the obtained genetic coefficients, by using sub-models of APSIM, it is possible to estimate the phenological dates and yields of studied cultivars in different regions and conditions (different levels of moisture regimes, fertilizers, dates of different crops, etc.), without running time-consuming and expensive experiments. Therefore, based on the obtained genetic coefficients, by using sub-models of APSIM, it is possible to estimate the phenological dates and yields of studied cultivars in different regions and conditions (different levels of moisture regimes, fertilizers, dates of different crops, etc.), without running time-consuming and expensive experiments.
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