Response of different varieties of maize to nitrogen stress and diagnosis of leaf nitrogen using hyperspectral data

被引:0
|
作者
Yanli Lu
Xiaoyu Zhang
Yuezhi Cui
Yaru Chao
Guipei Song
Caie Nie
Lei Wang
机构
[1] Chinese Academy of Agricultural Sciences,State Key Laboratory of Efficient Utilization of Arid and Semi
[2] Inner Mongolia Agricultural University,Arid Arable Land in Northern China/Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture and Rural Affairs/ Institute of Agricultural Resources and Regional Planning
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Spectral technology is theoretically effective in diagnosing N stress in maize (Zea mays L.), but its application is affected by varietal differences. In this study, the responses to N stress, leaf N spectral diagnostic models and the differences between two maize varieties were analysed. The variety “Jiyu 5817” exhibited a greater response to different N stresses at the 12-leaf stage (V12), while “Zhengdan 958” displayed a greater response in the silking stage (R1). Correlation analysis showed that the spectral bands more sensitive to leaf N content were 548–556 nm and 706–721 nm at the V12 stage in “Jiyu 5817” and 760–1142 nm at the R1 stage in “Zhengdan 958”. An N spectral diagnostic model that considers the varietal effect improves the model fit and root mean square error (RMSE) with respect to the model without it by 10.6% and 29.2%, respectively. It was concluded that the V12 stage for “Jiyu 5817” and the R1 stage for “Zhengdan 958” were the best diagnostic stages and were more sensitive to N stress, which can further guide fertilization decision-making in precision fertilization.
引用
收藏
相关论文
共 50 条
  • [21] Estimation of the vertically integrated leaf nitrogen content in maize using canopy hyperspectral red edge parameters
    Pengfei Wen
    Zujiao Shi
    Ao Li
    Fang Ning
    Yuanhong Zhang
    Rui Wang
    Jun Li
    Precision Agriculture, 2021, 22 : 984 - 1005
  • [22] LEAF AREA INDEX IN WINTER WHEAT: RESPONSE ON SEED RATE AND NITROGEN APPLICATION BY DIFFERENT VARIETIES
    Bavec, M.
    Vukovic, K.
    Mlakar, S. Grobelnik
    Rozman, C.
    Bavec, F.
    JOURNAL OF CENTRAL EUROPEAN AGRICULTURE, 2007, 8 (03): : 337 - 341
  • [23] RESPONSE OF WHEAT-VARIETIES TO DIFFERENT LEVELS OF NITROGEN
    MALIK, CVS
    INDIAN JOURNAL OF AGRONOMY, 1981, 26 (01) : 93 - 94
  • [24] RESPONSE OF RICE (ORYZA-SATIVA) VARIETIES TO LIGHT STRESS AT DIFFERENT LEVELS OF NITROGEN
    DASH, CR
    RAO, CN
    INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 1990, 60 (12): : 796 - 800
  • [25] Effects of Different Water and Nitrogen Managements on Nitrogen Remobilization Efficiency during Leaf Senescence in Maize
    Zhang Z.
    Shang W.
    Qi Z.
    Zheng E.
    Liu M.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2019, 50 (12): : 297 - 303and267
  • [26] Analysis of Different Hyperspectral Variables for Diagnosing Leaf Nitrogen Accumulation in Wheat
    Tan, Changwei
    Du, Ying
    Zhou, Jian
    Wang, Dunliang
    Luo, Ming
    Zhang, Yongjian
    Guo, Wenshan
    FRONTIERS IN PLANT SCIENCE, 2018, 9
  • [27] Estimation of leaf nitrogen and silicon using hyperspectral remote sensing
    Mokhele, Tholang A.
    Ahmed, Fethi B.
    JOURNAL OF APPLIED REMOTE SENSING, 2010, 4
  • [28] EFFECT OF NITROGEN FORM ON MAIZE RESPONSE TO DROUGHT STRESS
    MIHAILOVIC, N
    JELIC, G
    FILIPOVIC, R
    DJURDJEVIC, M
    DZELETOVIC, Z
    PLANT AND SOIL, 1992, 144 (02) : 191 - 197
  • [29] Combining nitrogen effects and metabolomics to reveal the response mechanisms to nitrogen stress and the potential for nitrogen reduction in maize
    LU Yan-li
    SONG Gui-pei
    WANG Yu-hong
    WANG Luo-bin
    XU Meng-ze
    ZHOU Li-ping
    WANG Lei
    JournalofIntegrativeAgriculture, 2023, 22 (09) : 2660 - 2672
  • [30] Combining nitrogen effects and metabolomics to reveal the response mechanisms to nitrogen stress and the potential for nitrogen reduction in maize
    Yan-li, Lu
    Gui-pei, Song
    Yu-hong, Wang
    Luo-bin, Wang
    Meng-ze, Xu
    Li-ping, Zhou
    Lei, Wang
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2023, 22 (09) : 2660 - 2672