Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1028(2022)

Early Detection of Plasmopara Viticola Infection in Grapevine Leaves Using Chlorophyll Fluorescence Imaging

Figures & Tables(13)
Flow chart of the experiment
Healthy leaves and inoculated leaves with disease spots at 6 DPI(a): Heathy leaf; (b): Leaf with scattered lesions; (c): Leaf covered with lesions
Chlorophyll fluorescence imaging system
Chlorophyll fluorescence measurement procedure
Flow chart of feature selection algorithm (SFFS) and model construction
PCR values of healthy and inoculated samples measured 6 consecutive days after inoculation
Representative kinetic chlorophyll fluorescence curves of healthy and inoculated leaves(a): 1 DPI; (b): 2 DPI; (c): 6 DPI
RGB and chlorophyll fluorescence parameter images of leaves inoculated with Plasmopara viticola
Means and standard deviations of chlorophyll fluorescence parameters of grape leaves healthy and inoculated with downy mildew for 6 consecutive days (statistically significant differences are indicated)*ppp<0.001
  • Table 1. Real time fluorescent quantitative PCR primers

    View table
    View in Article

    Table 1. Real time fluorescent quantitative PCR primers

    引物名称引物基因序列
    VvActin-qRT-FAGACAGGATGAGCAAGGAAATC
    VvActin-qRT-RGCCTCCAATCCATACGCTATAC
    PvActin-qRT-FCGATCTCGTATCTGAATA
    PvActin-qRT-RCTACATCATCTCATCCAT
  • Table 2. Fluorescence parameters commonly used in detection of plant stress

    View table
    View in Article

    Table 2. Fluorescence parameters commonly used in detection of plant stress

    符号公式名称
    Fv/Fm(Fm-F0)/Fm最大光化学量子产量(光合效率)
    NPQ(Fm-F'm)/F'm非光化荧光猝灭
    qN1-(F'm-F'0)/(Fm-F0)非光化荧光猝灭系数
    Rfd(Fp-Ft-Ln)/Ft-Ln荧光衰减率(植物活力指数)
  • Table 3. Classification results of healthy and inoculated leaf by LR, SVM and RF using SFFS and Relief optimal features

    View table
    View in Article

    Table 3. Classification results of healthy and inoculated leaf by LR, SVM and RF using SFFS and Relief optimal features

    特征选
    择策略
    最优特征子集特征
    数量
    分类
    正确率
    /%
    ReliefQY_L4, NPQ_Lss, qN_L3,
    qL_D3, Fq_L2, Fv/Fm_L2,
    Fq_L2,Ft_L4, F0, Fm_L3, Fp
    11LR
    LDA
    BP
    75.43
    78.22
    81.40
    SFFSqN-L3, Rfd-L2,
    NPQ-L1, Fv/Fm-D1
    4LR
    LDA
    BP
    80.95
    83.57
    85.94
  • Table 4. Reorganization results of healthy (CK) and diseased leaves at different DPI based on SFFS-BP

    View table
    View in Article

    Table 4. Reorganization results of healthy (CK) and diseased leaves at different DPI based on SFFS-BP

    接种天数真实样本识别结果识别率
    /%
    类别数量健康接种
    1DPI健康
    接种
    80
    80
    58
    27
    22
    53
    69.38
    2DPI健康
    接种
    80
    80
    68
    20
    12
    60
    80.00
    3DPI健康
    接种
    80
    80
    70
    16
    10
    64
    83.75
    4DPI健康
    接种
    80
    80
    74
    12
    6
    68
    88.75
    5DPI健康
    接种
    80
    80
    78
    6
    2
    74
    95.00
    6DPI健康
    接种
    80
    80
    80
    2
    0
    78
    98.75
    全周期健康
    接种
    480
    480
    428
    83
    52
    397
    85.94
Tools

Get Citation

Copy Citation Text

. Early Detection of Plasmopara Viticola Infection in Grapevine Leaves Using Chlorophyll Fluorescence Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1028

Download Citation

EndNote(RIS)BibTexPlain Text
Save article for my favorites
Paper Information

Category: Research Articles

Received: Jul. 15, 2021

Accepted: --

Published Online: Jul. 25, 2023

The Author Email:

DOI:10.3964/j.issn.1000-0593(2022)04-1028-08

Topics