국산 밀 품종의 APSIM 생물계절 매개변수 최적화 및 생육 단계 모의

Abstract

This study employed the APSIM-Wheat model to optimize key phenological parameters and simulate the growth stages of major wheat cultivars in― ―Korea. Growth stage data for four wheat cultivars Jogwang, Uri, Keumgang, and Jokyung were collected from the Barley and Wheat Crop GrowthInformation Service provided by the National Institute of Crop Science for the period 1974-2022. Weather data from 74 meteorological stations across Korea were used to construct climate scenarios. The Phenological parameters, including photoperiod sensitivity(1.5-4.0) and vernalization sensitivity. (1.5 3.5), were calibrated by minimizing the root mean square error between observed and simulated growth stages. The calibrated model was then applied to simulate growth stages under varying sowing dates and historical climate conditions, enabling an analysis of the interaction between wheat growth stages and climatic factors. The results showed that shifts in heading and maturity dates were significantly influenced by both historical climate trends and cultivar-specific traits. This study provides a foundation for developing process-based decision support systems to improve wheat management under changing environmental conditions.