欢迎访问《中国农学通报》，
中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (15): 33-37.doi: 10.11924/j.issn.1000-6850.casb14110108

所属专题： 玉米

• 农学 农业基础科学 • 上一篇    下一篇

低温胁迫下玉米高光谱特征及产量构成的相关分析

武晋雯,孙龙彧,李书君,冯锐,纪瑞鹏,于文颖,张玉书   

  1. 中国气象局沈阳大气环境研究所 沈阳,沈阳市气象局 沈阳;朝阳市气象局 朝阳,见论文,中国气象局沈阳大气环境研究所 沈阳,中国气象局沈阳大气环境研究所 沈阳,中国气象局沈阳大气环境研究所 沈阳,中国气象局沈阳大气环境研究所 沈阳
  • 收稿日期:2014-11-18 修回日期:2014-12-13 接受日期:2014-12-23 出版日期:2015-06-02 发布日期:2015-06-02
  • 通讯作者: 张玉书
  • 基金资助:
    辽宁省科技厅“农业气象灾害精细化预报及风险评估研究”(2014210003)；中央级公益性科研院所基本科研项目“辽宁省玉米/水稻气候适宜度诊断预报定量化技术研发”(2014IAE-CMA01)；公益性行业（气象）专项“辽宁省水稻低温冷害动态监测预警技术研究”(GYHY201306036)；辽宁省“十二五”科学技术重大项目“主要农业气象灾害发生规律及预警和评估机制研究”(2011210002)；中国气象局沈阳大气环境研究所中央级公益性科研院所基本科研项目“水分胁迫及复水对玉米光合及叶绿素荧光的影响”(2013IAE-CMA09)。

Correlation Analysis between Hyperspectral Characteristics and Yield Components of Maize under Low Temperature Stress

  • Received:2014-11-18 Revised:2014-12-13 Accepted:2014-12-23 Online:2015-06-02 Published:2015-06-02

PDF (PC)

431

摘要： 为了研究低温胁迫对玉米生长发育的影响并为粮食生产安全提供理论依据,测定了低温胁迫玉米关键发育期的光谱参数,进而研究光谱植被指数与产量构成的关系。结果表明：随着低温胁迫温度降低以及持续时间的增加,红边位置出现“蓝移”现象,红边幅值和红边面积也相应地减小；大喇叭口期 “双峰”现象减缓明显,说明该时期出现低温对玉米生长的影响较大；穗重在不同发育期与DVI(810,680)显著正相关(相关系数为0.8395),线性模型反映光谱植被指数和产量构成的关系。

关键词: 人参, 人参, 病虫害, 农药施用, 调查

Abstract: In order to study the effects of low temperature stress on the growth of maize and provide theoretical basis for the safety of grain production,and measured spectral parameters under low temperature stress in the key growth period of Maize, and studied the relation between spectral vegetation index and yield components. With the decrease of temperature and increase of duration under low temperature stress, there were blue shift phenomena for the position of red edge, and the amplitude and area of red edge also was reduced accordingly. At large bell stage, two peaks phenomena slowed down significantly, and it indicated that the period of low temperature had great effect on the growth of Maize.The spike weight was significantly negatively correlated with DVI(the correlation coefficient was 0.8395),and Linear model reflected the relationship between the spectral vegetation index and yield components.