| 滴灌玉米叶面积指数归一化建模与特征分析 |
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| 引用本文： | 李振洲,贺正,贾彪,刘志,付江鹏,刘慧芳.滴灌玉米叶面积指数归一化建模与特征分析[J].中国土壤与肥料,2020(3):189-195. |
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| 作者姓名： | 李振洲 贺正 贾彪 刘志 付江鹏 刘慧芳 |
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| 作者单位： | 宁夏大学农学院，宁夏 银川 750021 |
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| 基金项目： | 基金项目:国家自然科学基金项目(31560339)；宁夏高等学校科研项目(NGY2017025)；宁夏自然基金项目(2019AAC03068)；宁夏回族自治区科技重大专项(2018BBF0200404)； 宁夏区重 |
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| 摘 要： | 为探讨宁夏引黄灌区不同施氮量条件下滴灌玉米叶面积指数的动态变化特征,反映温度等气象因子对宁夏玉米形态结构和生长发育的影响,预测玉米生长过程与相对叶面积指数动态变化规律,本研究于2017~2018年在宁夏平吉堡和宁夏大学试验农场进行,以玉米天赐19为试验材料,采用水肥一体化管理技术,设6个氮肥水平,对玉米全生育期叶面积指数(LAI)和有效积温(GDD)进行累积并归一化处理,以相对有效积温为自变量和相对叶面积指数(RLAI)为因变量进行动态模拟,得出了5个准确度较高的模型,其中有理函数模型更符合宁夏滴灌玉米相对叶面积指数动态变化规律,模型检验结果表明,准确度均大于0.933**,精确度R2均大于0.915**;因此,此模型能较准确地对玉米群体RLAI进行动态预测;施氮量可调控玉米的LAI、平均叶面积指数(MLAI)及MLAI/LAImax,为滴灌玉米叶面积指数动态模拟精度提供技术途径。
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| 关 键 词： | 玉米 相对叶面积指数 相对有效积温 模型 特征 |
| 收稿时间： | 2019/6/5 0:00:00 |
LAI normalization modeling and characteristic analysis of maize with drip irrigation |
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| LI Zhen-zhou,HEZheng,JIA Biao,LIUZhi,FU Jiang -peng,LIU Hui -fang.LAI normalization modeling and characteristic analysis of maize with drip irrigation[J].Soil and Fertilizer Sciences in China,2020(3):189-195. |
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| Authors: | LI Zhen-zhou HEZheng JIA Biao LIUZhi FU Jiang -peng LIU Hui -fang |
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| Institution: | (School of Agriculture,Ningxia University,Yinchuan 750021) |
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| Abstract: | In this study,the dynamic characteristics of leaf area index(LAI)of maize under drip irrigation and different nitrogen application conditions and the effects of environmental factors such as temperature on the morphological structure and growth of maize in Ningxia irrigation area were explored,the dynamic changes of corn growth process and relative LAI were predicted.The experiment was conducted in Pingjibao Farm of Ningxia and Experimental Farm of Ningxia University in 2017~2018.The Tianci 19,which is mainly planted in the irrigation area,was used as the test material.The water and fertilizer integrated management technology was used and six levels of nitrogen fertilizer were set up.The LAI and effective accumulated temperature(GDD)were normalized from the seedling stage to the 30 days after silking.With relative GDD as the independent variable and relative LAI(RLAI)as the dependent variable,five simulation models with higher accuracy were obtained.The model y=(a+bx)/(1+cx+dx2)was more consistent with the dynamic change of RLAI of maize with drip irrigation in Ningxia.The test results of the model showed that the accuracy was greater than 0.933**,and the accuracy R2 was greater than 0.915**.Therefore,this model can accurately predict the RLAI of corn populations.The N application amount can regulate the LAI,average LAI(MLAI)and MLAI/LAImax of corn,which provides an effective technical way for the indepth study of maize yield improvement. |
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| Keywords: | maize relative leaf area index relative effective accumulated temperature model characteristics |
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