基于归一化法的双季稻叶面积指数动态预测模型

doi:10.11924/j.issn.1000-6850.casb16110029

中国农学通报 ›› 2017, Vol. 33 ›› Issue (29): 77-84.doi: 10.11924/j.issn.1000-6850.casb16110029

所属专题：水稻

• 资源环境生态土壤气象 • 上一篇下一篇

基于归一化法的双季稻叶面积指数动态预测模型

李艳大,舒时富,陈立才,叶春,王康军,黄俊宝

(江西省农业科学院农业工程研究所,南昌 330200）

收稿日期:2016-11-07 修回日期:2017-09-22 接受日期:2016-11-25 出版日期:2017-10-24 发布日期:2017-10-24
通讯作者: 李艳大
基金资助:
国家自然科学基金项目“基于株型的水稻光合生产模型研究”(31260293)；国家公益性行业（农业）科研专项课题“江西水稻生长指标光谱监测技术体系的示范应用”(201303109-4)；国家高层次人才特殊支持计划项目“万人计划青年拔尖人才”；江西省科研院所基础设施配套项目“基于光谱的双季稻无损定量监测诊断技术研究”(20161BBI90012)；江西省农科院创新基金（青年基金）项目“基于高光谱的双季稻氮素营养监测模型研究”(2014CQN002)。

A Predict Model of Dynamic Leaf Area Index of Double Cropping Rice Based on Normalized Method

Li Yanda, Shu Shifu, Chen Licai, Ye Chun, Wang Kangjun, Huang Junbao

(Institute of Agricultural Engineering, Jiangxi Academy of Agricultural Sciences, Nanchang 330200)

Received:2016-11-07 Revised:2017-09-22 Accepted:2016-11-25 Online:2017-10-24 Published:2017-10-24

摘要/Abstract

摘要： 研究旨在阐明双季稻叶面积指数与辐热积的关系及施氮量对其的影响。选择11个早晚稻品种进行4个施氮水平的小区试验，于关键生育期取样测定叶面积指数(LAI)，并对LAI及全生育期的累积辐热积(TEP)进行归一化处理，采用Curve Expert分析软件对相对LAI (RLAI)与相对TEP (RTEP)进行模拟分析，获得6个拟合效果较佳的模拟模型，其中有理方程能够较准确地描述双季稻叶面积指数的动态变化模式，相关系数为0.9677^**，具有明确的生物学意义。利用独立的田间试验资料，对构建的模型进行了初步检验。结果表明：早晚稻不同相对TEP所对应的LAI观测值与模拟值之间的根均方差(RMSE)为0.50 m²/m²，表明基于RTEP的RLAI动态模型能够准确地反映双季稻LAI的动态变化。早晚稻群体最大LAI (LAI_max)随施氮量的增加呈二次多项式函数增大趋势，相对LAI变化速率随相对辐热积的增加呈“N”形变化趋势。研究结果为早晚稻高产栽培和叶面积指数的精确调控提供了理论支撑。

关键词: 农业抗旱, 农业抗旱, 统计方案, 软件分析

Abstract: The study aims to illustrate the relationship between double cropping rice LAI and TEP, and the influence of nitrogen. Field experiments with eleven early and late rice cultivars and four nitrogen application rates were conducted, and LAI was measured at the main growth stages, normalization processing of LAI and accumulated TEP was conducted, simulation analysis of LAI (RLAI) and TEP (RTEP) was carried out with the software of Curve Expert, six simulation model with fine fitting results were obtained, and the rational equation could describe the dynamic change of LAI accurately, with the correlation index of 0.9677**, which had biological significance. Independent field test data were used to test the model, the results indicated that the root mean square error (RMSE) between the observed and simulated values of LAI at varied RTEP was 0.50 m2/m2, indicated that the RLAI dynamic model based on RTEP could reflect the dynamic change of double cropping rice LAI accurately. The LAImax showed the trend of quadratic equation with the increase of nitrogen application, the change of RLAI showed a“N”shape with the increase of RTEP. The results provided a theoretical upport to high yield cultivation and precise control of LAI of double cropping rice.

中图分类号:

李艳大,舒时富,陈立才,叶春,王康军,黄俊宝. 基于归一化法的双季稻叶面积指数动态预测模型[J]. 中国农学通报, 2017, 33(29): 77-84.

Li Yanda,Shu Shifu,Chen Licai,Ye Chun,Wang Kangjun and Huang Junbao. A Predict Model of Dynamic Leaf Area Index of Double Cropping Rice Based on Normalized Method[J]. Chinese Agricultural Science Bulletin, 2017, 33(29): 77-84.

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基于归一化法的双季稻叶面积指数动态预测模型

A Predict Model of Dynamic Leaf Area Index of Double Cropping Rice Based on Normalized Method

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