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2025 Vol.67, Issue 6 Preview Page
Optimizing APSIM Phenological Parameters and Simulating Growth Stages for Korean Wheat Cultivars

국산 밀 품종의 APSIM 생물계절 매개변수 최적화 및 생육 단계 모의

Seungwon Seoka
,
Solhee Kimb
,
Taegon Kimc†
석 승원a
,
김 솔희b
,
김 태곤c†
aGraduate Student, Department of Agricultural Engineering, College of Agriculture & Life Sciences, Jeonbuk National University
bAssociate Research Professor, Department of Smart Farm, College of Agriculture & Life Sciences, Jeonbuk National University
cAssociate Professor, Department of Agricultural Engineering, College of Agriculture & Life Sciences, Jeonbuk National University / Associate Professor, Department of Smart Farm, College of Agriculture & Life Sciences, Jeonbuk National University / Researcher, Institute of Agricultural Science & Technology, Jeonbuk National University
†Corresponding author Tel.: +82-63-270-2557, Fax: +82-63-270-2556 E-mail: taegon@jbnu.ac.kr
2025. pp. 55-67
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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 Growth Information 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.

Keywords
APSIM-Wheat
wheat growth stages
phenological parameter optimization
climate change
Korean wheat cultivars
sowing date
crop modeling
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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 67
  • No :6
  • Pages :55-67
  • Received Date : 2025-07-02
  • Revised Date : 2025-09-11
  • Accepted Date : 2025-09-12
  • DOI :https://doi.org/10.5389/KSAE.2025.67.6.055
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