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| 基于田间试验数据的玉米高产形成与生长季光温水资源分配的关系研究 |
| Relationship between High-Yield Formation of Maize and Allocation of Light, Temperature, and Water Resources during Growing Season Based on Field Experiment Data |
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| DOI： |
| 中文关键词: 玉米高产 光温水资源 田间试验 资源分配 淅川县 |
| 英文关键词:High yield of maize Light , temperature, and water resources Field experiment Resource allocation Xichuan County |
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| 摘要点击次数: 120 |
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| 中文摘要: |
| 本研究以河南省淅川县为研究区域，通过田间对比试验探究玉米高产形成与生长季光温水资源分配的关联机制。试验共设置5种种植模式（CK、T1~T4），对玉米生长季的光温等资源分布及产量构成要素进行监测分析。结果显示，节水灌溉+优化施肥的T4处理花前积温和花后积温较CK处理分别增加13.88%、8.99%，灌浆期光照较CK处理增加11.44 %，总辐射量排名第一；T4处理总耗水量较CK处理降低18.63%，水分利用效率较CK处理增加40.16%，产量较CK、T1、T2、T3处理分别增加15.33%、10.14%、3.46%、3.16%；建立的产量预测模型显示，花前积温、灌浆期光照时长与土壤碱解氮含量是影响产量的核心因子，相关系数r分别为0.96、0.92、0.88。经实测对产量值进行验证，误差率≤2.01%，因此可用于不同环境条件下的产量预测，为玉米高产栽培的光温水资源优化管理提供理论依据。 |
| 英文摘要: |
| This study used Xichuan County, Henan Province, as the research area and explored the relationship mechanism between high-yield formation of maize and the allocation of light, temperature, and water resources during the growing season through field comparative experiments. A total of five planting modes (CK and T1-T4) were set up to monitor and analyze the distribution of resources such as light and temperature and the yield components during the maize growing season. The results showed that the pre-flowering and post-flowering accumulated temperatures under the T4 treatment, consisting of water-saving irrigation + optimized fertilization, increased by 13.88% and 8.99%, respectively, compared with the CK treatment, and light exposure during the grain-filling period increased by 11.44% compared with the CK treatment. The total radiation under the T4 treatment ranked first. The total water consumption of the T4 treatment was 18.63% lower than that of the CK treatment, water use efficiency was 40.16% higher than that of the CK treatment, and yield was 15.33%,10.14%, 3.46%, and 3.16% higher than that of the CK, T1, T2, and T3 treatments, respectively. The established yield prediction model showed that pre-flowering accumulated temperature, light exposure duration during the grain-filling period, and soil alkali-hydrolyzable nitrogen content were the core factors affecting yield, with correlation coefficients (r) of 0.96, 0.92, and 0.88, respectively. The predicted yield values were verified using measured values, with an error rate of no more than 2.01%. Therefore, the model can be used for yield prediction under different environmental conditions, providing a theoretical basis for the optimal management of light, temperature, and water resources in high-yield maize cultivation. |
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