| 彭记永,李军玲,张志红.夏玉米叶面积指数模型适用性及误差分析[J].干旱地区农业研究,2019,37(5):70~76 |
| 夏玉米叶面积指数模型适用性及误差分析 |
| Applicability and error analysis of leaf area index model of summer maize |
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| DOI：10.7606/j.issn.1000-7601.2019.05.11 |
| 中文关键词: 叶面积指数 Logistic 模型 夏玉米 适用性 河南 |
| 英文关键词:LAI Logistic model summer maize applicability Henan Province |
| 基金项目:公益性行业（气象）科研专项(GYHY201406026)；中国气象局农业气象保障与应用技术重点开放实验室开放研究基金（AMF201609） |
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| 中文摘要: |
| 为了研究叶面积指数模型的适用性，利用郑州农业气象试验站2009—2013年夏玉米观测资料和气象资料，建立修正的Logistic叶面积指数模型，并通过2014—2017年的数据对模型进行了检验。为了进一步研究模型在不同地区的适用性，分别于2014年、2015年在鹤壁、黄泛区、驻马店、郑州4个站点进行4个品种的分期播种试验，利用4个站点2 a的分期播种数据进行模型验证。结果表明：叶面积指数实测值与模拟值变化趋势基本一致，三叶期、七叶期平均绝对误差为0.01～0.23，平均相对误差为0%～12%，拔节期、抽雄期、抽雄后10d绝对误差为0～1.11，相对误差为0%～62%。模拟值与实测值之间平均绝对误差为0.06～0.32，平均相对误差为4%～18%。总体上，修正的Logistic叶面积指数模型在不同地区不同年份，均表现出一定的适用性，可用于夏玉米正常生长条件下叶面积指数的模拟，为修正的Logistic叶面积指数模型的推广应用提供数据支持。 |
| 英文摘要: |
| In order to study the applicability of Logistics model for leaf area index (LAI), summer maize data and meteorological data from Zhengzhou agricultural meteorological station from 2009 to 2013 were used to establish Logistic LAI model. The model was verified by four years data from 2014 to 2017. To further explore applicability of the model in different regions, four summer maize varieties were sown by four stages in 2014 and 2015 in four stations (Hebi, Yellow river flooded area, Zhumadian and Zhengzhou). The model was verified by 4 stations data in 2 years. The results showed that the trend of measured values was basically the same as that of simulated values. The mean absolute error of three leaf stage and seven leaf stage was between 0.01~0.23, the average relative error was 0%~12%. The absolute error of jointing stage, male pumping stage, and 10 d after tassel was 0~1.11, and relative error was 0%~62%. Mean absolute error between simulated values and measured values was 0.06~0.32, and the average relative error was 4%~18%. On the whole，the model showed good applicability in different years and in different regions. It can be used for the simulation leaf area index under the condition of normal growth of summer maize, which provided reliable data support for the promotion and application of Logistic leaf area index model. |
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