中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China

文献类型:期刊论文

作者Zhao, Jin4,5; Yang, Xiaoguang4; Liu, Zhijuan4; Pullens, Johannes W. M.5; Chen, Ji5; Marek, Gary W.2; Chen, Yong3; Lv, Shuo1,4; Sun, Shuang4
刊名AGRICULTURAL WATER MANAGEMENT
出版日期2020-04-01
卷号232页码:8
关键词Yield improvement Stability Maize Recommended nutrient and water inputs Exploitable yield
ISSN号0378-3774
DOI10.1016/j.agwat.2020.106018
通讯作者Yang, Xiaoguang(yangxg@cau.edu.cn)
英文摘要Maize (Zea mays L.) is an important cereal crop grown worldwide. With the increase in human food demand but limited land and water resources, precise spatially explicit knowledge about the maize production capacity through agricultural management practices (e.g., using recommended nutrient and water inputs, RNWI, by local agronomists) is essential to guide the future policy, research, development, and investment. Here, we used a well-validated crop model (APSIM-Maize) for 1981-2010 combined with actual climatic and soil data to estimate maize yield improvements under RNWI in three main cropping regions in China (the North China Spring Maize Region, NCS; the Huanghuaihai Summer Maize region, HS; and the Southwest China Mountain Maize Region, SCM). Compared with the county-level maize actual yield in the three main cropping regions, the average maize yield could be increased by 33 % (4 Mg ha(-1)) through RNWI, while the improvements in the coefficients of variation (CVs) of grain yield and reliable grain production (RGP) were 0.11 and 32 % (69 million Mg), respectively. Except for RNWI, the average yield, CVs of yield, and RGP could still be increased by 28 % (3 Mg ha(-1)), 0.10, and 36 % (80 million Mg) through other management and technologies (OMT). Further analysis in four types of yield level-stability zones (high-stable, low-stable, high-unstable, and low-unstable zones) showed that greater contributions of using RNWI and OMT to improve maize grain yield, yield stability, and RGP were found in zones with low/unstable yield across the three regions. The findings highlighted the focus on increasing maize yield in low/unstable-yield zones could provide a greater return.
WOS关键词CHANGING CLIMATE ; USE EFFICIENCY ; GAPS ; SYSTEMS ; NITROGEN ; APSIM ; MANAGEMENT ; STABILITY ; IMPACT ; POTENTIALS
资助项目National Key Research and Development Program of China[2016YFD0300101] ; Donation for China Clean Development Mechanism Fund[2014109]
WOS研究方向Agriculture ; Water Resources
语种英语
WOS记录号WOS:000525288400004
出版者ELSEVIER
资助机构National Key Research and Development Program of China ; Donation for China Clean Development Mechanism Fund
源URL[http://ir.igsnrr.ac.cn/handle/311030/133913]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Xiaoguang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Datun Rd 11A, Beijing 100101, Peoples R China
2.ARS, USDA, Conservat & Prod Res Lab, 300 Simmons Rd,Unit 10, Bushland, TX 79012 USA
3.Texas A&M Univ, Dept Ecosyst Sci & Management, 2138 TAMU, College Stn, TX 77843 USA
4.China Agr Univ, Coll Resources & Environm Sci, 2 Yuanmingyuan West Rd, Beijing 100193, Peoples R China
5.Aarhus Univ, Dept Agroecol, Blichers Alle 20, DK-8830 Tjele, Denmark
推荐引用方式
GB/T 7714
Zhao, Jin,Yang, Xiaoguang,Liu, Zhijuan,et al. Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China[J]. AGRICULTURAL WATER MANAGEMENT,2020,232:8.
APA Zhao, Jin.,Yang, Xiaoguang.,Liu, Zhijuan.,Pullens, Johannes W. M..,Chen, Ji.,...&Sun, Shuang.(2020).Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China.AGRICULTURAL WATER MANAGEMENT,232,8.
MLA Zhao, Jin,et al."Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China".AGRICULTURAL WATER MANAGEMENT 232(2020):8.

入库方式: OAI收割

来源:地理科学与资源研究所

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