University of Birjand-Research Group of Drought and Climate Change Journal of Drought and Climate change Research 3092-6076 2 1 2024 05 21 Simulating the Growth and Development of Quinoa with using DSSAT 4.7 Software Model in Field Conditions Simulating the Growth and Development of Quinoa with using DSSAT 4.7 Software Model in Field Conditions 107 124 2955 10.22077/jdcr.2023.6801.1045 FA Shahab Eghbalishahabad Agricultural Expert, promotion and education of Yazd province, Yazd, Iran. Mahdi Nasiri Mahalati Professor, Department of Agrotechnology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. 0000-0003-0357-1733 Mohsen Jahan Associated Professor, Department of Agrotechnology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. 0000-0003-2259-5124 Mohammad Hassan Fallah PhD Graduated of Agroecology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran 0000-0002-2527-9656 Journal Article 2023 09 20 Climate change is rapidly degrading the conditions of crop production. For instance, increasing salinization and aridity is forecasted to increase in the most parts of the world. This research was conducted in two regions of Yazd province with 10 separate experiments in the form of a randomized complete block design with three replications. Experimental factors included 5 promising modified lines in Yazd Salinity Research Center with Titicaca cultivar.The results of calibration and validation of CROPGRO model with DSSAT software were evaluated as favorable for quinoa and the 30-year seasonal analysis of the model for the city of Yazd showed that the optimal planting dates for lines 3, 4, 5 and 6 are the first of August, the end of July, and the middle of It is August and the end of July because it is the shortest period of growth. Considering that this model can integrate the complex interactions of soil properties, climatic conditions, management practices and genetic characteristics of the product, it leads to a better understanding of the complex interactions between factors affecting the growth and development of this plant, so it can be used to develop studies on the aspect Different types of quinoa ecophysiology should be used in research departments. Climate change is rapidly degrading the conditions of crop production. For instance, increasing salinization and aridity is forecasted to increase in the most parts of the world. This research was conducted in two regions of Yazd province with 10 separate experiments in the form of a randomized complete block design with three replications. Experimental factors included 5 promising modified lines in Yazd Salinity Research Center with Titicaca cultivar.The results of calibration and validation of CROPGRO model with DSSAT software were evaluated as favorable for quinoa and the 30-year seasonal analysis of the model for the city of Yazd showed that the optimal planting dates for lines 3, 4, 5 and 6 are the first of August, the end of July, and the middle of It is August and the end of July because it is the shortest period of growth. Considering that this model can integrate the complex interactions of soil properties, climatic conditions, management practices and genetic characteristics of the product, it leads to a better understanding of the complex interactions between factors affecting the growth and development of this plant, so it can be used to develop studies on the aspect Different types of quinoa ecophysiology should be used in research departments. https://jdcr.birjand.ac.ir/article_2955_b44afe91b8a427a6be2078cc89bd6f9b.pdf