Within-season yield prediction with different nitrogen inputs under rain-fed condition using CERES-Wheat model in the northwest of China
文献类型：期刊论文
| 作者 | Li, Zhengpeng2,3; Song, Mingdan2,3; Feng, Hao2,3,4; Zhao, Ying1,3 |
| 刊名 | JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
 |
| 出版日期 | 2016-06-01 |
| 卷号 | 96期号:8页码:2906-2916 |
| 关键词 | yield forecast nitrogen precipitation distribution forecast accuracy CERES-Wheat model |
| ISSN号 | 0022-5142 |
| DOI | 10.1002/jsfa.7467 |
| 通讯作者 | Feng, Hao(nercwsi@vip.sina.com) ; Zhao, Ying(yzhaosoils@gmail.com) |
| 英文摘要 | BACKGROUND: Yield prediction within season is of great use to improve agricultural risk management and decision making. The objectives of this study were to access the yield forecast performance with increasing nitrogen inputs and to determine when the acceptable predicted yield can be achieved using the CERES-Wheat model. RESULTS: the calibrated model simulated wheat yield very well under various water and nitrogen conditions. Long-term simulation demonstrated that nitrogen input enlarged the annual variability of wheat yield generally. Within-season yield prediction showed that, regardless of nitrogen inputs, yield forecasts in the later growing season improved the accuracy and reduced the uncertainty of yield prediction. In a low-yielding year (2011-2012) and a high-yielding year (1991-1992), the date of acceptable predicted yield was achieved 62 and 65 days prior to wheat maturity, respectively. In a normal-yielding year (1983-1984), inadequate precipitation after the jointing stage in most historical years led to the underestimation of wheat yield and the date of accurate yield prediction was delayed to 235-250 days after simulation (7-22 days prior to maturity) for different N inputs. CONCLUSION: Yield prediction was highly influenced by the distribution of meteorological elements during the growing season and may show great improvement if future weather can be reliably forecast early. (c) 2015 Society of Chemical Industry |
| WOS关键词 | SUBTROPICAL ENVIRONMENT ; SIMULATION-MODEL ; CROP ; IRRIGATION ; FORECASTS ; RESPONSES ; MAIZE |
| 资助项目 | National 863 Research Program[2013AA102904] ; National 863 Research Program[2011AA100503] ; Chinese State Key Laboratory Fund[K318009902-1427] ; 111 Project of Chinese Education Ministry[B12007] |
| WOS研究方向 | Agriculture ; Chemistry ; Food Science & Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000377203800038 |
| 出版者 | WILEY-BLACKWELL |
| 资助机构 | National 863 Research Program ; Chinese State Key Laboratory Fund ; 111 Project of Chinese Education Ministry |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/66837]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Feng, Hao; Zhao, Ying |
| 作者单位 | 1.Northwest A&F Univ, Colleage Nat Resources & Environm, Yangling 712100, Shaanxi Provinc, Peoples R China 2.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi Provinc, Peoples R China 3.Northwest A&F Univ, Inst Water Saving Agr Arid Areas China, Yangling 712100, Shaanxi Provinc, Peoples R China 4.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi Provinc, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Zhengpeng,Song, Mingdan,Feng, Hao,et al. Within-season yield prediction with different nitrogen inputs under rain-fed condition using CERES-Wheat model in the northwest of China[J]. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE,2016,96(8):2906-2916. |
| APA | Li, Zhengpeng,Song, Mingdan,Feng, Hao,&Zhao, Ying.(2016).Within-season yield prediction with different nitrogen inputs under rain-fed condition using CERES-Wheat model in the northwest of China.JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE,96(8),2906-2916. |
| MLA | Li, Zhengpeng,et al."Within-season yield prediction with different nitrogen inputs under rain-fed condition using CERES-Wheat model in the northwest of China".JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 96.8(2016):2906-2916. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。