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基于空间效应模型的滴灌均匀系数对春玉米产量的影响分析
引用本文:王珍,李久生,张航,栗岩峰.基于空间效应模型的滴灌均匀系数对春玉米产量的影响分析[J].中国农业科学,2013,46(23):4905-4915.
作者姓名:王珍  李久生  张航  栗岩峰
基金项目:国家自然科学基金项目(51179204)
摘    要:【目的】定量评价滴灌均匀系数和土壤空间变异对春玉米产量的影响。【方法】在华北平原砂质壤土上进行4年田间尺度的春玉米滴灌试验,2009及2010年试验中滴灌均匀系数(Cu)设置0.66、0.81和0.99 3个水平,灌水量设置灌溉需水量的50%、75%和100% 3个水平;2011及2012年试验中滴灌均匀系数(Cu)设置0.59、0.80和0.97 3个水平,施氮量设置0、120和210 kg•hm-2 3个水平。分别用经典方差分析模型(ANOVA)和空间效应模型(SP)对春玉米产量数据进行拟合。【结果】ANOVA模型表明,均匀系数、灌水量及施氮量对春玉米产量的影响均不显著;而考虑了土壤空间变异影响的SP模型指出,当均匀系数过低(如Cu<0.6)时,灌水和施肥不均匀性对作物产量可能造成显著的负面影响。【结论】在确定滴灌均匀系数设计标准时需要考虑土壤空间变异程度的强弱,对研究区域来说,宜避免采用过低的滴灌均匀系数。

关 键 词:华北平原    滴灌    均匀系数    产量    方差分析    空间效应模型
收稿时间:2013-03-26

Analyzing the Influence of Drip Irrigation Uniformity on Spring Maize Yield Using the Spatial Effect Model
WANG Zhen,LI Jiu-Sheng,ZHANG Hang,LI Yan-Feng.Analyzing the Influence of Drip Irrigation Uniformity on Spring Maize Yield Using the Spatial Effect Model[J].Scientia Agricultura Sinica,2013,46(23):4905-4915.
Authors:WANG Zhen  LI Jiu-Sheng  ZHANG Hang  LI Yan-Feng
Institution:State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038
Abstract:【Objective】The objectives of this study were to evaluate the influence of drip system uniformity and soil spatial variability on the spring maize yield. 【Method】Field experiments were conducted during four growing seasons of spring maize (Zea may L.) from 2009 to 2012 in the North China Plain. Three Christiansen uniformity coefficients (Cu) of 0.66, 0.81, and 0.99 and three levels of irrigation amount (50%, 75%, and 100% of irrigation requirement) were used in 2009 and 2010. While three Cu of 0.59, 0.80 and 0.97 and three levels of nitrogen applied at 0, 120 and 210 kg•hm-2 were used in 2011 and 2012. The influence of drip irrigation uniformity on spring maize yield was analyzed using a spatial effect model and an analysis of variance (ANOVA) approach. 【Result】The ANOVA results indicated that neither drip uniformity nor irrigation amount and nitrogen application level imposed a significant influence on maize yield. However, the spatial effect model, which considered the influence of spatial variability in the field on spring maize yield, demonstrated that nonuniformly applied water and fertilizers may imposed a negative influence on growth of crop when an extremely low uniformity (e.g. Cu<0.6) was used. 【Conclusion】This study recommended that the spatial variability of field should be considered when the target drip irrigation uniformity is determined. For the semi-humid regions such as the North China Plain, an extremely low drop uniformity of less than 0.6 is not recommended.
Keywords:North China Plain  drip irrigation  uniformity  yield  analysis of variance  spatial effect model
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