پارامتریابی و ارزیابی مدل اپسیم جهت شبیه‌سازی عملکرد و صفات فنولوژیک برخی از ارقام گندم، جو و تریتیکاله (مطالعه موردی: استان البرز)

Ahmed, M., Akram, M.N., Asim, M., Aslam, M., Hassan, F., Higgins, S., Stockle, C., & Hoogenboom, G. (2016). Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application. Computers and Electronics in Agriculture, 123, 384-401.

Andarzian, B., Bannayan, M., Steduto, P., Mazrae, H., Barati, M.E., Barati, M.A., & Rahnama, A. (2011). Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran. Agricultural Water Management, 100(1), 1-8.

Araya, A., Hoogenboom, G., Luedeling, E., Hadgue, K.M., Kisekkaf, I., & Martorano, L.G. (2015). Assessment of maize growth and yield using crop models under present and future climate in southwestern Ethiopia. Agricultural and forest Meteorology, 214, 252-265.

Asseng, S., Zhu, Y., Wang, E., & Zhang, W. (2015). Crop modelling climate change impact and adaptation. Nature Climate Change, 5, 143-147.

Bannayan, M., Hoogenboom, G., & Crout, N.M.J. (2009). Photothermal impact on maize performance: a simulation approach. Ecological Modeling, 180, 277-290.

Bannayan, M., Hoogenboom, G., & Crout, N.M.J. (2009). Photothermal impact on maize performance: a simulation approach. Ecological Modeling, 180, 277-290.

Bassu, S., Asseng, S., Giunta, F., & Motzo, R. (2013). Optimizing triticale sowing densities across the Mediterranean Basin. Field Crops Research, 144, 167-178.

Bento, V.A., Ribeiro, A.F.S., Russo, A., Gouveia, C.M., Cardoso, R.M., & Soares, P.M.M. (2021). The impact of climate change in wheat and barley yields in the Iberian Peninsula. Scientific Reports, 11, 15484.

Briak, H., & Kebede, F. (2021). Wheat (Triticum aestivum L.) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model. Scientific Reports, 11, 24092.

Chen, C., Wang, E., & Yu, Q. (2010). Modelling the effects of climate variability water management on crop water productivity and water balance in the China Plain. Agricultural Water Management, 97(8), 1175-1184.

Confalonieri, R. (2023). Modeling triticale growth and yield under Mediterranean conditions using APSIM-Triticale. Agronomy, 13(10), 2521.

Desilva, S. H., Takahashi, T., & Okada, K. (2021). Evaluation of APSIM – Wheat to simulate the response of yield and grain protein content to nitrogen application on an Andosol. Plant Production Science, 3(5), 50-63.

Devkota, K.P., Hoogenboom, G., Boote, K.J., Singh, U., Lamers, J.P.A., Devkota, M., & Vlek, P.L.G. (2015). Simulating the impact of water saving irrigation and conservation agriculture practices for rice–wheat systems in the irrigated semi-arid drylands of Central Asia. Agricultural and Forest Meteorology, 214, 266-280.

Donatelli, M., & Confalonieri, R. (2011). Biophysical models for cropping system simulation, in: Flichman, G. (Eds). Bio-Economic Models Applied to Agricultural Systems, pp, 59-87.

Dong, C., Hu, D., Fu, Y., Wang, M., & Liu, H. (2014). Analysis and optimization of the effect of light and nutrient solution on wheat growth and development using an inverse system model strategy. Computers and Electronics in Agriculture, 109, 221-231.

Gaydon, D.S., Wang, E., Poulton, P.L., Ahmad, B., Ahmed, F., Akhter, S., Ali, I., Amarasingha, R., Chaki, A.K., & Chen, C. (2017). Evaluation of the APSIM model in cropping systems of Asia. Field Crops Research, 204, 52-75.

Hao, S., Ryo, D., Western, A., Perry, E., Bogena, H., Jan, H., & Franssen, H. (2021). Performance of a wheat yield prediction model and factors influencing the performance. Agricultural Systems, 194, 103-225.

Hochman, Z., Gobbett, D., Horan, H., & Garcia, J.N. (2017). Data rich yield gap analysis of wheat in Australia. Field Crops Research, 197, 97-106.

Keating, B.A., Carberry, P.S., Hammer, G.L., Probert, M.E., Robertson, M.J., Holzworth, D., Huth, N.I., & Smith, C.J. (2024). An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy. 18(3), 267-288.

Keir, A.M.S., Ding, Z., Feike, T., & Elnashar, A. (2020). Wheat crop modelling for higher production. Systems Modeling, 179-202.

Kumar, U., Hansen, E., Thomsen, I., & Vogeler, I. (2023). Performance of APSIM to simulate the dynamics of winter wheat growth, phenology, and nitrogen uptake from early growth stages to maturity in Northern Europe. Plants, 12(5), 986.

Loague, K., & Green, R.W. (1991). Statistical and graphical methods for evaluating solute transport models: overview and application. Journal of Contaminant Hydrology, 7, 51-73.

Ma, Y., Feng, S., & Song, X. (2015). Evaluation of optimal irrigation scheduling and groundwater recharge at representative sites in the North China Plain with SWAP model and field experiments. Agriculture Journal, 116, 125-136.

Martin, M.M., Olesen, J.E., & Porter, J.R. (2014). A genotype, environment and management analysis of adaption in winter wheat to climate change in Denmark. Agricultural and Forest Meteorology, 187, 1-13.

Mihret, Y.C., Ketsela, G.M., & Mintesinot, S.M. (2024). Implementation and application of APSIM for crop modelling in Ethiopia: A comprehensive review. Heliyon, 10(10), e31612.

Oleary, G.J., Christy, B., Nuttall, J., Huth, N., Cammarano, D., Stockle, C., Basso, B., Shcherbak, I., Fitzgerald, G., Luo, Q., Farre-Codina, I., Palta, J., & Asseng, S. (2015). Response of wheat growth, grain yield and water use to elevate CO₂ under a free-air CO₂ enrichment (FACE) experiment and modelling in a semi-arid environment. Global Change Biology, 21 (7), 2670-2686.

Rezaei, E.E., Siebert, S., & Ewert, F. (2015). Intensity of heat stress in winter wheat phenology compensates for the adverse effect of global warming. Environmental Research Letters, 10 (2), 12-24.

Safer, G.A., & Savin, R. (2023). Comparative performance of barley and wheat across a wide range of yielding conditions. Does barley outyield wheat consistently in low-yielding conditions? European Journal of Agronomy, 143, 1-8.

Vogeler, I., Jensen, J.L., Thomsen, I.K., Labouriau, R., & Hansen, E.M. (2021). Fertiliser N rates interact with sowing time and catch crops in cereals and affect yield and nitrate leaching. European Journal of Agronomy, 124, 126244.

Wallach, D., Buis, S., Lecharpentier, P., Bourges, J., Clastre, P., Launay, M., Bergez, J.E., Guerif, M., Soudais, J., & Justes, E. (2011). A package of parameter estimation methods and implementation for the STICS crop-soil model. Environmental Modelling and Software, 26, 386-394.

Willmott, C.J. (1982). Some comments on the evaluation of model performance. Bulletin of the American Meteorological Society, 63, 1309-1313.

Zhang, Y., Ai, P., Ma, Y., Fu, Q., & Ma, X. (2025). Global sensitivity analyses of the APSIM-Wheat model at different soil moisture levels. Plants, 14(17), 2608.

Zhao, G., Bryan, B., & Song, X. (2014). Sensitivity and uncertainty analysis of the APSIM-Wheat model: Interaction between cultivar, environment and management parameters. Ecological Modelling, 279, 1-11.

Zheng, B., Chenu, K., Doherty, A., Doherty, T., & Chapman, L. (2014). The APSIM-Wheat module. apsru australia. pp. 1-44.

Zhu, F. (2018). Triticale: Nutritional composition and food uses. Food Chemistry, 241, 468-479.