Retrieval of photosynthetic capability for yield gap attribution in maize via model-data fusion

doi:10.1016/j.agwat.2019.105783

	Retrieval of photosynthetic capability for yield gap attribution in maize via model-data fusion
	Hu, Shi 1; Mo, Xingguo 1,3; Huang, Farong 1,2
刊名	AGRICULTURAL WATER MANAGEMENT
	2019-12-20
卷号	226 页码:14
关键词	Yield gap Quantum efficiency VIP model Vegetation index Maize
ISSN号	0378-3774
DOI	10.1016/j.agwat.2019.105783
通讯作者	Mo, Xingguo(moxg@igsnrr.ac.cn)
英文摘要	Identifying the factors driving yield gaps between the attainable and actual yields achieved by farmers is essential for agricultural improvement and water resource management. In this study, the process-based VIP (Vegetation Interface Processes) eco-hydrological model was used to estimate the yield gap of spring maize in the Hutuo River Basin (HRB), North China. To describe the realistic crop growth and attainable yield pattern, the field-sampled grain yield and aboveground biomass were used to design a scheme to retrieve the intrinsic quantum efficiency (epsilon(act)) for leaf photosynthesis of C4 crop, including the statistical relationships between the intrinsic quantum efficiency, vegetation index and grain yield. The actual yields were predicted with the retrieved intrinsic quantum efficiency pattern, while the attainable yields were predicted with the average of the top 5% intrinsic quantum efficiencies. The simulated actual yields are consistent with the census data at the county level (R-2 of 0.37 to 0.74 and relative RMSE of 16-29%). The average yield gap in the basin is 5246 kg ha(-1), being 55% of the attainable yield. It is revealed that soil organic matter (SOM) content and depth of soil layer are the principal limiting factors in more than 80% of farmland and results in 70% of the yield gap, while the effects of SOM content is dominant in flat piedmont. Water stress is also a critical factor limiting crop yield, especially for hilly farmlands with slopes greater than 8 degrees. Improving fertilizer management and irrigation techniques in the HRB is therefore the primary task to narrow yield gaps attributable to basin management.
资助项目	National Natural Science Foundation of China[41471026] ; National Natural Science Foundation of China[41971232]
WOS关键词	SOIL ORGANIC-MATTER ; ECOSYSTEM MODEL ; SPATIAL HETEROGENEITY ; CHANGING CLIMATE ; USE EFFICIENCY ; WINTER-WHEAT ; CROP YIELD ; MODIS ; EVAPOTRANSPIRATION ; NDVI
WOS研究方向	Agriculture ; Water Resources
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000525274200010
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/134013]
专题	中国科学院地理科学与资源研究所
通讯作者	Mo, Xingguo
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China 3.Univ Chinese Acad Sci, SDC Coll, Coll Resources & Environm, Beijing 101407, Peoples R China
推荐引用方式 GB/T 7714	Hu, Shi,Mo, Xingguo,Huang, Farong. Retrieval of photosynthetic capability for yield gap attribution in maize via model-data fusion[J]. AGRICULTURAL WATER MANAGEMENT,2019,226:14.
APA	Hu, Shi,Mo, Xingguo,&Huang, Farong.(2019).Retrieval of photosynthetic capability for yield gap attribution in maize via model-data fusion.AGRICULTURAL WATER MANAGEMENT,226,14.
MLA	Hu, Shi,et al."Retrieval of photosynthetic capability for yield gap attribution in maize via model-data fusion".AGRICULTURAL WATER MANAGEMENT 226(2019):14.