| Cite this article: | 靳思佳,齐志明,桂东伟,等.预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用[J].灌溉排水学报,0,():-. |
| jinsijia,qizhiming,guidongwei,et al.预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用[J].灌溉排水学报,0,():-. |
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| Leaching and Use of Soil Nitrogen and Phosphorus under the Decision Support System for Irrigation Scheduling in Cotton Fiend |
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jinsijia, qizhiming, guidongwei, lixiangyi, zengfanjiang, chenxiaoping
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XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY CHINESE ACADEMY OF SCIENCES
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| Abstract: |
| Abstract: 【Background】Based on water stress predicted by the Root Zone Water Quality Model (RZWQM2), we developed a new irrigation support system for irrigation scheduling, which was constructed and has been tested since 2016 in a cotton field in an oasis in Xinjiang. 【Objective】To investigate the effect of this new irrigation support system on the use and leaching of soil nitrate and available phosphorus (Olsen-P), an experiment on soil nutrient was conducted in 2019, through which the dynamics of NO3-N and Olsen-P under the new irrigation method were compared with two traditional irrigation control methods. 【Method】The experiment was conducted with three irrigation decision-making methods (predictive irrigation (DSSIS), moisture irrigation (SMS), empirical irrigation (E)) and two irrigation levels (100% (FI) and 75% (DI)). All treatments were organized in the two-factor randomized plots in the field. In each treatment, we measured soil NO3-N, soil Olsen-P, cotton biomass, cotton nitrogen and phosphorus content, cotton yield. 【Result】1) E had the problem of NO3-N leaching. The risk of NO3-N leaching of DSSSIS was greater than that of SMS. 2) 2) Changed irrigation decisions will not cause differential distribution of Olsen-P in each soil layer. 3) Compared with E and SMS, DSSIS significantly increased 28.5% and 40.0% of the total nitrogen of the aboveground cotton plants. 4) DSSIS can increased seed cotton yield by 33.7%, water productivity by 80.7%, partial productivity of nitrogen by 25.2% and partial productivity of phosphorus by 25.6%. 【Conclusion】DSSIS reduces the risk of NO3-N leaching and promotes cotton nitrogen uptake, improve seed cotton yield, improve water productivity and partial productivity of nitrogen and phosphorus fertilizer. |
| Key words: Predictive irrigation; NO3-N leaching; Olsen-P leaching; Root Zoon Water Quality Model |
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