| 引用本文: | 李玉庆,蒙强,张存,等.不同水肥作用下西藏青稞生长动力学机制与模拟研究[J].灌溉排水学报,2019,38(4):17-24. |
| LI Yuqing,MENG Qiang,ZHANG Cun,et al.不同水肥作用下西藏青稞生长动力学机制与模拟研究[J].灌溉排水学报,2019,38(4):17-24. |
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| 摘要: |
| 【目的】构建西藏高原地区多因子作用下的青稞动态生长模型。【方法】于2016─2017年在西藏农牧学院农田水利试验场，监测了不同水分和氮素状态下的青稞动态生长过程，基于方差分析法研究了水分和氮素对青稞动态过程的交互作用，在此基础上构建了包括4个自由度、描述土壤水分和氮素对春青稞干物质形成以及累积过程函数关系，构建了多因子作用条件下的青稞动态关系模型，分别采用2016年和2017年的试验资料对模型进行了参数率定和验证。【结果】西藏高原地区青稞动态生长过程受到了多种因素的影响，青稞的干物质增量和累积量与土壤水分和氮素投入量表现出非线性响应关系；采用偏相关系数能够有效地反映青稞的产量与干物质指标关系。模拟不同水分和氮素条件下的青稞生长过程与实测结果相比，全生育内Nash-Sutcliffe系数平均值为0.873；5%的显著水平下，不存在系统性偏差。【结论】构建的青稞动态生长关系模型能够描述西藏地区气候和土壤条件对青稞生长动态过程影响机理，具有较高的模拟精度。 |
| 关键词: 青稞； 西藏高原； 多因子作用； 模型； 水分； 氮素； 土壤 |
| DOI：10.13522/j.cnki.ggps.20180492 |
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| Growth Kinetic Mechanism and Simulation of Tibetan Hulless Barley under Different Water and Fertilizer Condition |
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LI Yuqing, MENG Qiang, ZHANG Cun, ZHANG Wenxian, ZHOU Zuhao
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1. Water Conservancy Project and Civil Engineering College Tibet Agriculture and Animal Husbandry College, Nyingchi 860000, China; 2. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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| Abstract: |
| 【Objective】The objective of this paper is to present a model to simulate the growth of highland barley under water and nitrogen stresses.【Method】Field experiments were conducted in 2016—2017 at Nyingchi in Tibetan Plateau; during the experiment, we measured the growth of the highland barley under different combinations of soil water and nitrogen stresses; their interactive effect on the growth was analyzed using the variance analysis method. A dynamic model, including four variables, was developed to simulate the crop growth and its associated dry-matter accumulation. The data in 2016 and 2017 were used to calibrate and validate the model, respectively.【Result】The physiological development of the highland barley was affected by a multitude of factors. The accumulating rate of the dry matter in the crop increased nonlinearly with soil water and nitrogen, and the impact of each factor can be represented by a partial correlation coefficient. The mean Nash-Sutcliffe coefficient between the simulated and the measured dry matter was 0.872, and there was no systematic deviation between the simulated and measured dry matter at significant level of 5%. 【Conclusion】The simulated and observed dry matters were consistent. The physiological nature of the model means that it can accurately describe the growth of the highland barley in Tibetan Plateau. |
| Key words: highland barley; Tibet plateau; multi-factor interaction; model; water content; nitrogen; soil |
