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The disease quantification analysis of cotton Verticillium wilt using the two methods of disease index and fungal biomass present high consistency

Author

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  • He Zhu

    (National Cotton Industry Technology System Liaohe Comprehensive Experimental Station, The Cotton Research Center of Liaoning Academy of Agricultural Sciences, Liaoning Provincial Institute of Economic Crops, Liaoyang, P. R. China)

  • Yue Li

    (National Cotton Industry Technology System Liaohe Comprehensive Experimental Station, The Cotton Research Center of Liaoning Academy of Agricultural Sciences, Liaoning Provincial Institute of Economic Crops, Liaoyang, P. R. China)

  • Xiao-Bin Ji

    (The State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, P. R. China)

  • Dan-Dan Zhang

    (The State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
    Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, P. R. China)

  • Jie-Yin Chen

    (The State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
    Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, P. R. China)

  • Xiao-Feng Dai

    (The State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
    Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, P. R. China)

  • Zi-Sheng Wang

    (National Cotton Industry Technology System Liaohe Comprehensive Experimental Station, The Cotton Research Center of Liaoning Academy of Agricultural Sciences, Liaoning Provincial Institute of Economic Crops, Liaoyang, P. R. China)

  • Dan Wang

    (The State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
    State Key Laboratory of Subtropical Silviculture, School of Forestry and Biotechnology, Zhejiang A & F University, Hangzhou, P. R. China)

Abstract

Verticillium dahliae is a broad host-range pathogen that causes vascular wilt in plants. The Verticillium wilt disease severity assay on plants caused by V. dahliae mainly includes two methods, one is a plant disease grade classification based on disease severity statistics [namely the disease index (DI)], and the other is the V. dahliae biomass quantification in plants (namely the fungal biomass). In this study, the relationships of pathogenicity with the DI, pathogenicity with the biomass, and the correlation analysis of the DI and relative fungal biomass were analysed. The results showed that the pathogenicity assessment of V. dahliae strains using the DI method was able to give an intuitive reflection of the pathogenic ability for defoliating and non-defoliating strains; moreover, the method of quantitative PCR for fungal biomass also had high repeatability and stability. As a whole, the correlation coefficient between the DI and fungal biomass values of 28 strains was 0.728, indicating that the two data sets were highly correlated; however, the correlation coefficients of the defoliating strains and non-defoliating strains were only 0.5384 and 0.4547, respectively. In conclusion, the correlation coefficient between the DI and the fungal biomass presented high consistency, which could provide some meaningful exploration for the more accurate pathogenicity identification of V. dahliae.

Suggested Citation

  • He Zhu & Yue Li & Xiao-Bin Ji & Dan-Dan Zhang & Jie-Yin Chen & Xiao-Feng Dai & Zi-Sheng Wang & Dan Wang, . "The disease quantification analysis of cotton Verticillium wilt using the two methods of disease index and fungal biomass present high consistency," Plant Protection Science, Czech Academy of Agricultural Sciences, vol. 0.
    • Handle: RePEc:caa:jnlpps:v:preprint:id:109-2023-pps
    DOI: 10.17221/109/2023-PPS
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    References listed on IDEAS

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    1. Tingli Liu & Tianqiao Song & Xiong Zhang & Hongbo Yuan & Liming Su & Wanlin Li & Jing Xu & Shiheng Liu & Linlin Chen & Tianzi Chen & Meixiang Zhang & Lichuan Gu & Baolong Zhang & Daolong Dou, 2014. "Unconventionally secreted effectors of two filamentous pathogens target plant salicylate biosynthesis," Nature Communications, Nature, vol. 5(1), pages 1-10, December.
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