Scientia Agricultura Sinica ›› 2013, Vol. 46 ›› Issue (23): 4905-4915.doi: 10.3864/j.issn.0578-1752.2013.23.006

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

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   

  1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038
  • Received:2013-03-26 Online:2013-12-01 Published:2013-05-21

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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.

Key words: North China Plain , drip irrigation , uniformity , yield , analysis of variance , spatial effect model

[1]陈渠昌. 滴灌灌水均匀度的模拟研究[D]. 北京: 北京农业工程大学, 1993.

Chen Q C. Simulation of drip irrigation uniformity[D]. Beijing: Beijing Agricultural University, 1993. (in Chinese)

[2]Warrick A W, Gardner W R. Crop yield as affected by spatial variation of soil and irrigation. Water Resources Research, 1983, 19(1): 181-186.

[3]陈渠昌, 郑耀泉. 微灌工程设计均匀度的选定. 农业工程学报, 1995, 11(2): 128-132.

Chen Q C, Zheng Y Q. Optimizing determination of irrigation uniformity in the design of micro-irrigation system. Transactions of the Chinese Society of Agricultural Engineering, 1995, 11(2): 128-132. (in Chinese)

[4]Wu I P, Barragan J. Design criteria for microirrigation systems. Transactions of the American Society of Agricultural Engineers, 2000, 43(5): 1145-1154.

[5]Bordovsky J P, Porter D O. Effect of subsurface drip irrigation system uniformity on cotton production in the Texas high plains. Applied Engineering in Agriculture, 2008, 24(4): 465-472.

[6]李久生, 尹剑锋, 张航, 栗岩峰. 滴灌均匀系数对土壤水分和氮素分布的影响. 农业工程学报, 2010, 26(12): 27-33.

Li J S, Yin J F, Zhang H, Li Y F. Field evaluation of drip fertigation uniformity effects on distributions of water and nitrate in soil. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(12): 27-33. (in Chinese)

[7]李久生, 尹剑锋, 张航, 栗岩峰. 滴灌均匀系数和施氮量对白菜生长及产量和品质的影响. 农业工程学报, 2011, 27(1): 36-43.

Li J S, Yin J F, Zhang H, Li Y F. Effects of drip fertigation uniformity and nitrogen application level on growth, yield and quality of Chinese cabbage. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(1): 36-43. (in Chinese)

[8]张航, 李久生. 华北平原春玉米生长和产量对滴灌均匀系数及灌水量的响应. 农业工程学报, 2011, 27(11): 176-182.

Zhang H, Li J S. Response of growth and yield of spring corn to drip irrigation uniformity and amount in North China Plain. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(11): 176-182. (in Chinese)

[9]Zimmerman D L, Harville D A. A random field approach to the analysis of field-plot experiments and other spatial experiments. Biometrics, 1991, 47: 227-239.

[10]Stroup W W. Power analysis based on spatial effects mixed models: A tool for comparing design and analysis strategies in the presence of spatial variability. Journal of Agricultural, Biological and Environmental Statistics, 2002, 7(4): 491-511.

[11]Little R C, Milliken G A, Stroup W W, Wolfinger R D, Schabenberger O. SAS for Mixed Models. Cary, North Carolina: SAS Institute, 2006.

[12]Stroup W W, Baenziger P S, Mulitze D K. Removing spatial variation from wheat yield trials: a comparison of models. Crop Science, 1994, 86: 62-66.

[13]Bajwa S G, Vories E D. Spatial analysis of cotton (Gossypium hirsutum L.) canopy responses to irrigation in moderately humid area. Irrigation Science, 2007, 25: 429-441.

[14]胡希远, 李建平, 宋喜芳. 空间统计分析在作物育种品系选择中的效果. 作物学报, 2008, 34(3): 412-417.

Hu X Y, Li J P, Song X F. Efficiency of spatial statistical analysis in superior genotype selection of plant breeding. Acta Agronomica Sinica, 2008, 34(3): 412-417. (in Chinese)

[15]胡希远, Joachim S. 田间试验的空间变异性及其统计控制. 作物学报, 2007, 33(4): 620-624.

HU X Y, Joachim S. Spatial variability and its statistical control in field experiment. Acta Agronomica Sinica, 2007, 33(4): 620-624. (in Chinese)

[16]邵明安, 王全九, 黄明斌. 土壤物理学. 北京: 高等教育出版社, 2006: 19-21.

Shao M A, Wang Q J, Huang M B. Soil Physics. Beijing: Higher Education Press, 2006: 19-21. (in Chinese)

[17]中华人民共和国水利部. SL 103-1995 微灌工程技术规范, 1995.

The Ministry of Water Rresources of the People’s Republic of China. SL 103-1995 Technical Standard of Micro-Irrigation Engineering, 1995. (in Chinese)

[18]Nakayama F S, Bucks D A, Clemmens A J. Assessing trickle emitter application uniformity. Transactions of the American Society of Agricultural Engineers, 1979, 22(4): 816-821.

[19]金畅. 蒙特卡洛方法中随机数发生器和随机抽样方法的研究[D]. 大连: 大连理工大学, 2005.

Jin C. Study on random number generator and random sampling in Monte-Carlo method [D]. Dalian: Dalian University of Technology, 2005. (in Chinese)

[20]胡庆芳, 尚松浩, 田俊武, 孟宝泉. FAO56计算水分胁迫系数的方法在田间水量平衡分析中的应用. 农业工程学报, 2006, 22(5): 40-43.

Hu Q F, Shang S H, Tian J W, Meng B Q. Application of water stress coefficient from FA056 to the field water balance analysis. Transactions of the Chinese Society of Agricultural Engineering, 2006, 22(5): 40-43. (in Chinese)

[21]Allen R G, Pereira L S, Raes D. Crop evapotranspiration, guidelines for computing crop water requirement//FAO Irrigation and Drainage Paper No.56. Food and Agricultural Organization of the United Nations, Rome, 1998.

[22]雷志栋, 杨诗秀, 谢森传. 土壤水动力学. 北京: 清华大学出版社, 1988.

Lei Z D, Yang S X, Xie S C. Soil Water Dynamics. Beijing: Tsinghua University Press, 1988. (in Chinese)

[23]朱军. 线性模型分析原理. 北京: 科学出版社, 2000: 165-168.

Zhu J. Principles of Linear Model Analysis. Beijing: Science Press, 2000: 165-168. (in Chinese)

[24]张仁铎. 空间变异理论及应用. 北京: 科学出版, 2005: 19-20.

Zhang R D. Spatial Variation Theory and Application. Beijing: Science Press, 2005: 19-20. (in Chinese)

[25]Kravchenko A N, Robertson G P, Snap S S, Smucker A J M. Using information about spatial variability to improve estimates of total soil carbon. Agronomy Journal, 2006, 98: 823-829.
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