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Hormone Metabolism and Substance Accumulation in Cucumber Plants: Downy Mildew Infection and Potassium Stress

Author

Listed:
  • Yafei Wang

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Qiang Shi

    (School of Science and Technology, Shanghai Open University, Shanghai 200433, China)

  • Jiale Lin

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Xuanting Lu

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Bin Ye

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Huanxing Lv

    (School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Xiaoxue Du

    (School of Optoelectronic Engineering, Changzhou Institute of Technology, Changzhou 213032, China)

  • Tianhua Chen

    (College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)

Abstract

In order to understand the effects of biotic stress and abiotic stress on hormone metabolism and substance accumulation in cucumber, two different infection levels of downy mildew were set, B0 (diseased) and B1 (disease-free), and T1 (K-50%: 50% of normal potassium application), T2 (K-100%: normal potassium application), and T3 (K-150%: 150% of normal potassium application). The results show that the hormone metabolism in the cucumber plants was measured on the 15th day after transplanting. Compared with the B1T2 treatment, the cane sugar contents in the B0T1, B0T2, B0T3, B1T1, and B1T3 treatments decreased by 35.87%, 23.29%, 25.41%, 12.98%, and 6.05%; the soluble sugar contents in the B0T1, B0T2, B0T3, B1T1, and B1T3 treatments decreased by 36.16%, 27.13%, 31.97%, 9.89%, and 7.84%; the hydrogen peroxide (H 2 O 2 ) contents in the B0T1, B0T2, B0T3, and B1T1 treatments increased by 30.59%, 21.08%, 14.74%, and 9.2%; the catalase (CAT) contents in the B0T1, B0T2, B0T3, B1T1, and B1T3 treatments decreased by 53.78%, 36.57%, 47.18%, 34.75%, and 16.39%; the superoxide dismutase (SOD) contents in the B0T1, B0T2, B0T3, and B1T1 treatments increased by 30.28%, 22.59%, 12.9%, and 13.17%; and the polyphenol oxidase (PPO) contents in the B0T1, B0T2, B0T3, and B1T1 treatments increased by 39.38%, 25.27%, 4.49%, and 23.05%, respectively. Compared with the B1T2 treatment, the malondialdehyde (MDA) contents in the B0T1, B0T2, B0T3, B1T1, and B1T3 treatments increased by 82.78%, 23.07%, 60.21%, 74.55%, and 25.12%. Compared with the B1T2 treatment, the hydrogen peroxide (H 2 O 2 ), superoxide dismutase (SOD), and polyphenol oxidase (PPO) contents in the B1T3 treatment decreased by 16.11%, 4.36%, and 4.43%. On the 20th day after transplanting the cucumber plants, downy mildew infection and potassium stress had significant effects on the dry and fresh weights of the leaves, stems, and roots ( p < 0.05). The B0T1 treatment had the greatest effect on the dry and fresh weights of the leaves, stems, and roots of the cucumber plants. The B1T3 treatment had the least effect on the dry and fresh weights of the leaves, stems, and roots of the cucumber plants. This research can provide a theoretical basis for the study and cultivation of cucumber stress resistance.

Suggested Citation

  • Yafei Wang & Qiang Shi & Jiale Lin & Xuanting Lu & Bin Ye & Huanxing Lv & Xiaoxue Du & Tianhua Chen, 2025. "Hormone Metabolism and Substance Accumulation in Cucumber Plants: Downy Mildew Infection and Potassium Stress," Agriculture, MDPI, vol. 15(9), pages 1-13, May.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:9:p:994-:d:1648884
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    References listed on IDEAS

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    1. Rasool, Ghulam & Guo, Xiangping & Wang, Zhenchang & Ali, Muhammad Usman & Chen, Sheng & Zhang, Shuxuan & Wu, Qijin & Ullah, Muhammad Saif, 2020. "Coupling fertigation and buried straw layer improves fertilizer use efficiency, fruit yield, and quality of greenhouse tomato," Agricultural Water Management, Elsevier, vol. 239(C).
    2. Weidong Zhu & Jun Sun & Simin Wang & Jifeng Shen & Kaifeng Yang & Xin Zhou, 2022. "Identifying Field Crop Diseases Using Transformer-Embedded Convolutional Neural Network," Agriculture, MDPI, vol. 12(8), pages 1-19, July.
    3. Hongyan Gao & Liyan Gong & Jiheng Ni & Qinglin Li, 2022. "Metabolomics Analysis of Lettuce ( Lactuca sativa L.) Affected by Low Potassium Supply," Agriculture, MDPI, vol. 12(8), pages 1-13, August.
    4. Neil O. Anderson & Joey Annis & Mark Buchholz & Jared Cutting & Eric Heuring & Emily Jankila & Megan McCrumb & Nicole Nelson & Myra Pehoski & Karl Piepho & Valerie Price & Victoria Russell, 2011. "Undergraduate Sustainable Learning: Effects of Sustainable Soilless Media on Production and Sensory Evaluation of Cucumbers, Basil, Parsley, and Lettuce," Sustainability, MDPI, vol. 3(9), pages 1-18, August.
    5. Huang, Song & Yan, Haofang & Zhang, Chuan & Wang, Guoqing & Acquah, Samuel Joe & Yu, Jianjun & Li, Lanlan & Ma, Jiamin & Opoku Darko, Ransford, 2020. "Modeling evapotranspiration for cucumber plants based on the Shuttleworth-Wallace model in a Venlo-type greenhouse," Agricultural Water Management, Elsevier, vol. 228(C).
    6. Yan, Haofang & Acquah, Samuel Joe & Zhang, Chuan & Wang, Guoqing & Huang, Song & Zhang, Hengnian & Zhao, Baoshan & Wu, Haimei, 2019. "Energy partitioning of greenhouse cucumber based on the application of Penman-Monteith and Bulk Transfer models," Agricultural Water Management, Elsevier, vol. 217(C), pages 201-211.
    7. Zhang, Chuan & Li, Xinyu & Yan, Haofang & Ullah, Ikram & Zuo, Zhiyu & Li, Lanlan & Yu, Jianjun, 2020. "Effects of irrigation quantity and biochar on soil physical properties, growth characteristics, yield and quality of greenhouse tomato," Agricultural Water Management, Elsevier, vol. 241(C).
    8. Yan, Haofang & Deng, Shuaishuai & Zhang, Chuan & Wang, Guoqing & Zhao, Shuang & Li, Mi & Liang, Shaowei & Jiang, Jianhui & Zhou, Yudong, 2023. "Determination of energy partition of a cucumber grown Venlo-type greenhouse in southeast China," Agricultural Water Management, Elsevier, vol. 276(C).
    9. Yafei Wang & Tiezhu Li & Tianhua Chen & Xiaodong Zhang & Mohamed Farag Taha & Ning Yang & Hanping Mao & Qiang Shi, 2024. "Cucumber Downy Mildew Disease Prediction Using a CNN-LSTM Approach," Agriculture, MDPI, vol. 14(7), pages 1-17, July.
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