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高品质番茄基质栽培灌溉决策研究
引用本文:岳焕芳,李,超,李友丽,安顺伟,孟范玉,张海芳,张宁宁,赵,倩.高品质番茄基质栽培灌溉决策研究[J].中国蔬菜,2020,1(4):56-60.
作者姓名:岳焕芳      李友丽  安顺伟  孟范玉  张海芳  张宁宁    
作者单位:(1 北京市农业技术推广站,北京100029;2 北京市大兴区农业技术示范站,北京 102615;3 北京农业智能; 装备技术研究中心,北京100097)
基金项目:2019 年生态农业建设项目( PXM2019_036204_000026),
2019 年水溶性微生物肥的研发与示范推广项目
(PXM2019_036204_000014),果类蔬菜产业技术体系北京市创新团
队项目(BAIC01-2019)
摘    要:设置基于光辐射、基质含水量+回液电导率和时序灌溉决策3个处理,通过监测番茄株高、茎粗、产量、品质和基质含水量等指标,探索高品质番茄基质栽培灌溉决策。结果表明:基于光辐射和基质含水量+回液电导率灌溉决策的番茄长势和产量均优于时序灌溉决策,果实糖酸比分别比时序灌溉决策提高了60.8%和54.3%,番茄红素含量分别提高了14.9%和18.6%,灌溉液生产效率分别提高了39.6%和49.6%。集成的高品质番茄自动灌溉决策,为实现智能水肥管理提供了模型支撑。

关 键 词:高品质  番茄  灌溉决策  光辐射  时序  基质含水量  

Studies on Irrigation Decision in Substrate Culture of High Quality Tomato
YUE Huan-fang,LI Chao,LI You-li,An Shun-wei,MENG Fan-yu,ZHANG Hai-fang,ZHANG Ning-ning,ZHAO Qian.Studies on Irrigation Decision in Substrate Culture of High Quality Tomato[J].China Vegetables,2020,1(4):56-60.
Authors:YUE Huan-fang  LI Chao  LI You-li  An Shun-wei  MENG Fan-yu  ZHANG Hai-fang  ZHANG Ning-ning  ZHAO Qian
Institution:(1Beijing Agriculture Technology Extension Station,Beijing 100029,China;2Daxing District Agricultural Technology; Demonstration Station,Beijing 102615,China;3Beijing Research Centre of Intelligent Equipment for Agriculture,Beijing; 100097,China);
Abstract:This study designed 3 treatments including optical radiation,matrix moisture content + return EC sensor,and time sequence irrigation decision,to investigate irrigation decision for substrate cultivation of high quality tomato,through monitoring tomato plant height,stem diameter,yield,quality and matrix moisture content.The results showed that tomato growth vigor and yield based on optical radiation and matrix moisture content + return EC sensor irrigation decision were superior to that by time sequence method.The fruit sugar acid ratio was raised by 60.8% and 54.3%,respectively;lycopene contents were increased by 14.9% and 18.6%,respectively;irrigation fluid production efficiency were increased by 39.6% and 49.6%,respectively. Thus,the compositive and automatic irrigation decision for high quality tomato has provided model support for realization of intelligent water/fertilizer management.
Keywords:High quality  Tomato  Irrigation decision  Optical radiation  Time sequence  Matrix moisture content  
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