控制大田和自然大田稻纵卷叶螟危害的水稻生理生态参数估算模型
DOI:
作者:
作者单位:

1.气象灾害预报预警与评估协同创新中心/南京信息工程大学;2.江苏省植物保护站

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学(41975144); 江苏省重点研发计划(现代农业)(BE2019387)


Estimation models of physiological and ecological parameters of rice damaged by Cnaphalocrocis medinalis under controlled field experiments and natural field experiments
Author:
Affiliation:

1.Jiangsu Key Laboratory of Agricultural Meteorology,Nanjing University of Information Science Technology;2.Plant Protection Station in Jiangsu Province

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为了准确监测和客观评估稻纵卷叶螟对水稻生长发育和产量形成的危害,本文利用ASD Field Spec3地物波谱仪和SPAD-502叶绿素仪分别采集控制大田试验(2015年和2019年)和自然大田试验(2020年)在各生育期(拔节期、孕穗期、灌浆期、成熟期)水稻的冠层高光谱数据和SPAD值,调查采集样点的虫量和水稻卷叶率,对比分析两种试验中稻纵卷叶螟的虫害发生特征、水稻冠层光谱特征和水稻生理生态参数特征,建立基于高光谱参数的水稻受稻纵卷叶螟危害的生理生态参数估算模型。结果表明,(1)两种试验的水稻SPAD值和冠层的红边至近红外波段的反射率均随着稻纵卷叶螟虫害程度的加重而降低,而可见光波段的反射率则相反。(2)自然大田试验的SPAD值和红光至近红外波段的冠层反射率在水稻生长发育前期要显著低于控制大田试验,而到了后期则反而要略高于控制大田试验。(3)综合分析筛选出自然大田试验和控制大田试验中多个虫害特征参数和植被指数分别构建了SPAD的单因子和多因子估算模型,各模型均达到了较好的估算效果,在单因子模型中EVI的二项式函数模拟效果最好,多因子线性回归估测模型的模拟效果明显优于所有的单因子模型。(4)通过2021年对这些模型的应用检验发现:这些模型中基于虫量、卷叶率、OSAVI、EVI和DVI的单因子估算模型及基于RVI和卷叶率的多因子估算模型的SPAD估算值与实测值拟合度很高,,达到了比较理想的估算效果,这为稻纵卷叶螟危害下的水稻SPAD值估测提供了一种精度较高且可行的估算方法。

    Abstract:

    In order to accurately monitor and objectively evaluate the damage of the rice leaf roller, Cnaphalocrocis medinalis Guenee (C. medinalis) , to rice growth, breeding and yield formation, in this paper, the canopy hyperspectral data and SPAD (Soil and plant analyzer development) values of rice in the controlled field experiments (in 2015 and 2019) and the natural field experiments (in 2020) were measured by the instruments of ASD Field Spec3 and SPAD-502 at different growth stages (jointing stage, booting stage, filling stage and maturing stage), and the pest number and the percentage of rolled leaves in rice resulted from C. medinalis was measured by the manual investigations. The hyperspectral characteristics of rice canopy, physiological and ecological parameters of rice and the characteristics of C. medinalis’ occurrence parameters in the two experiments were analyzed. The models for estimating physiological and ecological parameters of rice after being damaged by C. medinalis based on the hyperspectral parameters was established. The results were showed as follows: (1) In the two experiments, the reflectance of the red edge to near-infrared band of rice canopy and SPAD value decreased with the aggravation of the degree of C. medinalis infestation but the reflectivity of the visible light band was the opposite. (2) The SPAD value of the natural field experiments and their canopy reflectance from the red light to near-infrared wavelength range were significantly lower than those of the control field experiments in the early two stage of rice growth and development, but slightly higher than that of the control field test in the latest two stages. (3) After comprehensively analyzing the experimental data, the multiple pest characteristic parameters and vegetation indices in the natural field experiments and the controlled field experiments were selected, and a set of single factor estimation models and multi-factor estimation models of SPAD were constructed respectively. Each model achieved the good estimation effect, among which the binomial function simulation effect of EVI was the best in the single factor models, however, the simulation effect of the multi-factor linear regression estimation model was better than that of all single-factor models. (4) Through the application test of these models in 2021, it was found that the estimated SPAD values of the single factor estimation model based on pest population, leaf curling rate, OSAVI, EVI and DVI and the multi factor estimation model based on RVI and leaf curling rate were highly consistent with the measured values among these models and achieved a relatively ideal estimation effect . This study has provided a high-precision and feasible estimation method for the SPAD value estimation of rice under the infestation of C. medinalis.

    参考文献
    相似文献
    引证文献
引用本文

包云轩,黄璐,郭铭淇,朱凤,杨荣明.控制大田和自然大田稻纵卷叶螟危害的水稻生理生态参数估算模型.生态学报,,(). http://dx. doi. org/[doi]

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: