气候变化领域集成服务门户(CCPortal): Comprehensive evaluation of the DSSAT-CSM-CERES-Wheat for simulating winter rye against multi-environment data in Germany

CCPortal

DOI	10.1002/agj2.21590
	Comprehensive evaluation of the DSSAT-CSM-CERES-Wheat for simulating winter rye against multi-environment data in Germany
	Shawon, Ashifur Rahman; Memic, Emir; Kottmann, Lorenz; Uptmoor, Ralf; Hackauf, Bernd; Feike, Til
发表日期	2024
ISSN	0002-1962
EISSN	1435-0645
英文摘要	Crop models are valuable tools for simulating and assessing genotype-by-environment interactions. In most studies, these models are parameterized based on crop data from a few sites and years, which often limits their applicability to a broader geographic context. Therefore, we utilize countrywide multi-environment variety trial data in this study to implement a genotype-specific model parameterization for winter rye (Secale cereale L.) in Germany. We use the Crop and Environment REsource Synthesis (CERES) model originally used for wheat available in the decision support system for agrotechnology transfer (DSSAT) framework and adapt and evaluate it for rye. Calibration and evaluation involved a comprehensive agronomic trial datasets for the rye cultivar Palazzo, encompassing 194 site-years of experiments covering various cereal production regions in Germany. The parameterization followed a structured approach, encompassing phenology, growth, and yield-specific coefficients. The parameterized CSM-CERES-Rye (where CSM is cropping system model) demonstrated reasonable accuracy in simulating critical crop parameters, including aboveground biomass, leaf area index, tiller, grain number, unit seed weight, and grain yield. The model is available for diverse model-based assessments of rye cultivation, including evaluating crop management, analyzing crop rotations, and assessing rye's suitability across varied environments, making it valuable for sustainable agriculture and decision-making. Adapting DSSAT-CSM-CERES-Wheat (where DSSAT is decision support system for agrotechnology transfer, CSM is cropping system model, and CERES is crop and environment resource synthesis) for cereal rye using comprehensive data from German plant variety trials for the first time. A structured sequential method was employed for model parameterization. The model enables essential analyses, including crop management, rotations, and suitability assessments.
语种	英语
WOS研究方向	Agriculture
WOS类目	Agronomy
WOS记录号	WOS:001231747000001
来源期刊	AGRONOMY JOURNAL
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300974
作者单位	Julius Kuhn-Institut; University Hohenheim; Julius Kuhn-Institut; University of Rostock
推荐引用方式 GB/T 7714	Shawon, Ashifur Rahman,Memic, Emir,Kottmann, Lorenz,et al. Comprehensive evaluation of the DSSAT-CSM-CERES-Wheat for simulating winter rye against multi-environment data in Germany[J],2024.
APA	Shawon, Ashifur Rahman,Memic, Emir,Kottmann, Lorenz,Uptmoor, Ralf,Hackauf, Bernd,&Feike, Til.(2024).Comprehensive evaluation of the DSSAT-CSM-CERES-Wheat for simulating winter rye against multi-environment data in Germany.AGRONOMY JOURNAL.
MLA	Shawon, Ashifur Rahman,et al."Comprehensive evaluation of the DSSAT-CSM-CERES-Wheat for simulating winter rye against multi-environment data in Germany".AGRONOMY JOURNAL (2024).