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中国农学通报

中国农学通报 ›› 2014, Vol. 30 ›› Issue (36): 133-140.doi: 10.11924/j.issn.1000-6850.2014-2637

所属专题： 小麦

• 生物技术科学 • 上一篇    下一篇

氮素和小麦条锈病胁迫下小麦高光谱遥感估产模型研究

张玉萍1,马占鸿2   

  1. (1北京交通大学中国产业安全研究中心博士后科研工作站/北京产业安全与发展研究基地,北京 100044；2中国农业大学植物病理学系植物病害流行实验室,北京 100193）
  • 收稿日期:2014-09-30 修回日期:2014-12-11 接受日期:2014-11-20 出版日期:2015-03-20 发布日期:2015-03-20
  • 通讯作者: 张玉萍
  • 基金资助:
    国家自然科学基金项目“小麦条锈病卫星遥感监测关键技术研究”(31071642)。

Study of Wheat Hyperspectral Remote Sensing Yield Estimation Model Under Stress of Nitrogen and Wheat Stripe Rust

Zhang Yuping1, Ma Zhanhong2   

  1. (1Beijing Jiaotong University Postdoctoral Programme of China Industrial Economic Security Research Center/Beijing Industrial Safety and Development Research Base, Beijing 100044;2Department of Plant Pathology, China Agricultural University, Beijing 100193)
  • Received:2014-09-30 Revised:2014-12-11 Accepted:2014-11-20 Online:2015-03-20 Published:2015-03-20

摘要： 为了构建不同施氮水平和条锈病发病条件下的小麦估产模型，设置了不同氮素水平及人工接种小麦条锈病，通过采用将多个关键生育期的光谱植被指数、一阶微分参数与小麦条锈病病情指数、叶片含氮量、产量构成因子、产量进行相关分析，植被指数、一阶微分参数与产量进行回归分析的方法，研究与产量相关性高的植被指数、微分参数，结果表明分别利用绿光红光比值植被指数(GR)和绿光波段一阶微分值总和(SDg)、蓝光波段一阶微分值总和(SDb)在灌浆期构建的估产模型预测效果较好，2010年预测准确率分别可以达到99.87%、99.98%，2011年预测准确率分别可以达到97.9%和95%。通过试验研究发现高光谱遥感技术在氮素和小麦条锈病双重胁迫下也可以较好的预测产量，这对研究多重胁迫、多种栽培措施下的小麦估产模型有重要意义。

关键词: 洛伐他汀, 洛伐他汀, 红曲霉, 菌株, 筛选, 鉴定

Abstract: Remote sensing (RS) is a good tool to estimate wheat yield. In order to get wheat yield estimation model under different nitrogen and wheat stripe rust levels, this paper analyzed the correlation relationship between vegetation index, the first derivative and the wheat leaf nitrogen content, wheat stripe rust disease index(DI), yield components and wheat yield respectively, using regression statistics method to choose high correlation factors to estimate wheat yield. The results showed that the yield estimation model in filling stage used respectively the vegetation index of green red ratio (GR) and the sum of green band first derivative, the sum of blue band first derivative had a good estimation result. Yield models estimation accuracy in 2010 could reach 99.87% and 99.98%, in 2011 could reach 97.9% and 95%. This research found that the hyperspectral remote sensing technology had a good yield estimation result under the stress of nitrogen and wheat stripe rust, the research result discussed in this paper was of great significance to study wheat yield estimation models under more stress and cultural practices.