气候变化领域集成服务门户(CCPortal): Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient

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DOI	10.1016/j.jia.2023.09.030
	Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient
	Li, Xuan; Wang, Shaowen; Chen, Yifan; Zhang, Danwen; Yang, Shanshan; Wang, Jingwen; Zhang, Jiahua; Bai, Yun; Zhang, Sha
发表日期	2024
ISSN	2095-3119
EISSN	2352-3425
起始页码	23
结束页码	4
卷号	23 期号:4
英文摘要	The accurate simulation of regional -scale winter wheat yield is important for national food security and the balance of grain supply and demand in China. Presently, most remote sensing process models use the biomassxharvest index (HI) method to simulate regional -scale winter wheat yield. However, spatiotemporal differences in HI contribute to inaccuracies in yield simulation at the regional scale. Time -series dry matter partition coefficients (Fr) can dynamically reflect the dry matter partition of winter wheat. In this study, Fr equations were fitted for each organ of winter wheat using site -scale data. These equations were then coupled into a process -based and remote sensingdriven crop yield model for wheat (PRYM-Wheat) to improve the regional simulation of winter wheat yield over the North China Plain (NCP). The improved PRYM-Wheat model integrated with the fitted Fr equations (PRYM-Wheat-Fr) was validated using data obtained from provincial yearbooks. A 3 -year (2000-2002) averaged validation showed that PRYM-Wheat-Fr had a higher coefficient of determination ( R 2 =0.55) and lower root mean square error (RMSE=0.94 t ha -1 ) than PRYM-Wheat with a stable HI (abbreviated as PRYM-Wheat-HI), which had R 2 and RMSE values of 0.30 and 1.62 t ha -1 , respectively. The PRYM-Wheat-Fr model also performed better than PRYM-Wheat-HI for simulating yield in verification years (2013-2015). In conclusion, the PRYM-Wheat-Fr model exhibited a better accuracy than the original PRYM-Wheat model, making it a useful tool for the simulation of regional winter wheat yield.
英文关键词	dry matter partition; remote sensing model; winter wheat yield; North China Plain
语种	英语
WOS研究方向	Agriculture
WOS类目	Agriculture, Multidisciplinary
WOS记录号	WOS:001222430200001
来源期刊	JOURNAL OF INTEGRATIVE AGRICULTURE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300905
作者单位	Qingdao University; Chinese Academy of Sciences; Shenzhen Institute of Advanced Technology, CAS; Hebei Normal University
推荐引用方式 GB/T 7714	Li, Xuan,Wang, Shaowen,Chen, Yifan,et al. Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient[J],2024,23(4).
APA	Li, Xuan.,Wang, Shaowen.,Chen, Yifan.,Zhang, Danwen.,Yang, Shanshan.,...&Zhang, Sha.(2024).Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient.JOURNAL OF INTEGRATIVE AGRICULTURE,23(4).
MLA	Li, Xuan,et al."Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient".JOURNAL OF INTEGRATIVE AGRICULTURE 23.4(2024).