首页|考虑降雨预报的灌溉模式对水稻产量及需水量的影响

考虑降雨预报的灌溉模式对水稻产量及需水量的影响

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原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
以早稻和晚稻为试验材料,在考虑降雨预报的前提下,研究了智能灌溉和传统淹水灌溉2种模式对水稻的产量指标以及作物需水量的影响.结果表明:智能灌溉模式能够使早稻、晚稻分别节约灌溉水量83.9、119.2 t/hm2,减少排水量193.8、35.6 t/hm2;智能灌溉模式在降雨频繁时充分满足作物在关键期的需水量,在缺少降雨时可在不影响产量、保证作物的关键期需水的情况下适当降低作物的需水量;智能灌溉模式可使早稻和晚稻的理论产量分别提高284.52、508.84 kg/hm2.综上,在水稻种植过程中,考虑降雨预报的智能灌溉模式能够提高灌溉效率;优化作物的关键期需水量,降低水资源的消耗,减少环境污染,以及实现水稻增产,具有一定的环境和经济效益.
Effect of Irrigation Model Considering Rainfall Forecast on Rice Yield and Water Requirement
Early rice and late rice were taken as test materials,the effects of intelligent irrigation and traditional flooding irrigation on rice yield index and crop water requirement were studied under the premise of rainfall forecast.The results showed that the intelligent irrigation mode could save irrigation water by 83.9 t/hm2 and 119.2 t/hm2 for early rice and late rice,and reduce drainage by 193.8 t/hm2 and 35.6 t/hm2.During frequent rainfall,the intelligent irrigation mode could fully meet water requirement of the key period,and during periods of water scarcity,it could appropriately reduce the crop water demand without affecting yield.The intelligent irrigation mode could also increase the theoretical yield of early rice and late rice by 284.52 kg/hm2 and 508.84 kg/hm2,respectively.In conclusion,in the process of rice planting,the intelligent irrigation mode considering rainfall forecasts can improve irrigation efficiency,optimize rice water requirement,reduce water consumption and environmental pollution,and achieve rice yield increase,which has significant environmental and economic benefits.

Intelligent irrigationRainfall utilizationWater saving and emission reductionRice yield increaseCrop water requirement

张海军、宗星宇、邓海龙、谢亨旺、付桃秀、王子荣

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江西省灌溉试验中心站,江西 南昌 330201

智能灌溉 降雨利用 节水减排 水稻增产 作物需水量

江西省水利厅重点项目江西省水利厅重点项目江西省水利厅科技项目江西省水利厅科技项目江西省水利厅科技项目江西省水利厅科技项目江西省"科技+水利"重大项目江西省水利厅推广项目

202124ZDKT21202224ZDKT05202224ZDKT05202324YBKT17202324YBKT16202324YBKT152022KSG01008202223TGKT09

2024

10.19386/j.cnki.jxnyxb.2024.01.004

江西农业学报
江西省农业科学院 江西省农学会

江西农业学报

CSTPCD
影响因子：0.632
ISSN：1001-8581
年,卷(期)：2024.36(1)
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