Modeling Nitrogen and Water Management Effects in a Wheat-Maize Double-Cropping System
文献类型:SCI/SSCI论文
作者 | Ma L.; Ma L.; Yu Q. |
发表日期 | 2008 |
关键词 | north china plain quality model n loss nitrate rzwqm zone soil groundwater irrigation yield |
英文摘要 | Excessive N and water use in agriculture causes environmental degradation and can potentially jeopardize the sustainability of the system. A field study was conducted from 2000 to 2002 to study the effects of four N treatments (0, 100, 200, and 300 kg N ha(-1) per crop) on a wheat (Triticum aestivum L.) and maize (Z a mays L.) double cropping system under 70 +/- 15% field capacity in the North China Plain (NCP). The root zone water quality model (RZWQM), with the crop estimation through resource and environment synthesis (CERES) plant growth modules incorporated, was evaluated for its simulation of crop production, Soil water, and N leaching in the double cropping system. Soil water content, biomass, and grain yield were better simulated with normalized root mean square errors (NRMSE, RMSE divided by mean observed value) from 0.11 to 0.15 than soil NO3-N and plant N uptake that had NRMSE from 0.19 to 0.43 across these treatments. The long-term simulation with historical weather data showed that, at 200 kg N ha(-1) per crop application rate, auto-irrigation triggered at 50% of the field capacity and recharged to 60% field capacity in the 0- to 50-cm soil profile were adequate for obtaining acceptable yield levels in this intensified double cropping system. Results also showed potential savings of more than 30% of the current N application rates per crop from 300 to 200 kg N ha(-1), which could reduce about 60% of the N leaching without compromising crop yields. |
出处 | Journal of Environmental Quality |
卷 | 37 |
期 | 6 |
页 | 2232-2242 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 0047-2425 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/24048] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Ma L.,Ma L.,Yu Q.. Modeling Nitrogen and Water Management Effects in a Wheat-Maize Double-Cropping System. 2008. |
入库方式: OAI收割
来源:地理科学与资源研究所
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