Optimizing genotype-environment-management interactions to enhance productivity and eco-efficiency for wheat-maize rotation in the North China Plain
文献类型：期刊论文
| 作者 | Xin, Yue1,2; Tao, Fulu1,2
|
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2019-03-01 |
| 卷号 | 654页码:480-492 |
| 关键词 | Climate change Cultivar N2O emissions Resource use efficiency Sustainable intensification Yield |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2018.11.126 |
| 通讯作者 | Tao, Fulu(taofl@igsnrr.ac.cn) |
| 英文摘要 | Agricultural production is facing unprecedented challenges to ensure food security by increasing productivity and in the meantime lowering environmental risk, especially in China. To enhance productivity and eco-efficiency of the typical winter wheat-summer maize rotation simultaneously in the North China Plain (NCP), we optimized the Genotype (G) x Environment (E) x Management (M) interactions to propose the optimal agronomic management practices and cultivars for four representative sites, with the Agricultural Production Systems slMulator (APSIM) model and detailed field trial data. The results showed that an appropriate delay in sowing date could mitigate climatic negative effects and a proper increase in sowing density could increase yield. The optimal nitrogen application rate could be 180 kg N ha(-1) year(-1) for maize. For the cropping system, 240 mm of irrigation for wheat and 330-390 kg N ha(-1) year(-1) of nitrogen application rate (150-210 kg N ha(-1) year(-1) for wheat and 180 kg N ha(-1) year(-1) for maize) were suitable to sustain high yield, resource use efficiency, and lower N2O emissions. These recommended levels were, respectively, 40% less than the current irrigation and N application rate commonly used by local farmers. The recommended management practices could increase groundwater recharge while reducing nitrogen leaching and N2O emissions without reducing yield. The maize cultivars with a long growth duration, large grain number and grain-filling rate are desirable. The desirable wheat cultivars are characterized with a medium vernalization sensitivity and high grain filling rate. The present study demonstrated an effective approach to develop sustainable intensification options for producing more with less environmental costs through optimizing G x E x M interactions. (C) 2018 Elsevier B.V. All rights reserved. |
| WOS关键词 | CLIMATE-CHANGE ; CROPPING SYSTEMS ; GRAIN-YIELD ; SUMMER MAIZE ; MODEL ; CULTIVARS ; GROWTH ; APSIM ; TEMPERATURE ; PERFORMANCE |
| 资助项目 | National Key Research & Development Program of China[2016YFD0300201] ; National Key Research & Development Program of China[2017YFD0300301] ; National Science Foundation of China[41571088] ; National Science Foundation of China[31761143006] ; National Science Foundation of China[41571493] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000458630100131 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Key Research & Development Program of China ; National Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49425]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tao, Fulu |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xin, Yue,Tao, Fulu. Optimizing genotype-environment-management interactions to enhance productivity and eco-efficiency for wheat-maize rotation in the North China Plain[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,654:480-492. |
| APA | Xin, Yue,&Tao, Fulu.(2019).Optimizing genotype-environment-management interactions to enhance productivity and eco-efficiency for wheat-maize rotation in the North China Plain.SCIENCE OF THE TOTAL ENVIRONMENT,654,480-492. |
| MLA | Xin, Yue,et al."Optimizing genotype-environment-management interactions to enhance productivity and eco-efficiency for wheat-maize rotation in the North China Plain".SCIENCE OF THE TOTAL ENVIRONMENT 654(2019):480-492. |
入库方式： OAI收割
来源：地理科学与资源研究所
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