IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i9p994-d1648884.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/9/994/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/15/9/994/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. 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).
    3. 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.
    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. 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).
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yan, Haofang & Li, Mi & Zhang, Chuan & Zhang, Jianyun & Wang, Guoqing & Yu, Jianjun & Ma, Jiamin & Zhao, Shuang, 2022. "Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China," Agricultural Water Management, Elsevier, vol. 264(C).
    2. 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).
    3. Yang Chen & Xiaoyulong Chen & Jianwu Lin & Renyong Pan & Tengbao Cao & Jitong Cai & Dianzhi Yu & Tomislav Cernava & Xin Zhang, 2022. "DFCANet: A Novel Lightweight Convolutional Neural Network Model for Corn Disease Identification," Agriculture, MDPI, vol. 12(12), pages 1-22, November.
    4. Wang, Weishu & Rong, Yao & Dai, Xiaoqin & Zhang, Chenglong & Wang, Chaozi & Huo, Zailin, 2024. "Variation and attribution of energy distribution for salinized sunflower farmland in arid area," Agricultural Water Management, Elsevier, vol. 297(C).
    5. Xue, Run & Zhang, Chuan & Yan, Haofang & Disasa, Kinde Negessa & Lakhiar, Imran Ali & Akhlaq, Muhammad & Hameed, Muhammad Usman & Li, Jun & Ren, Jiangtao & Deng, Shuaishuai & Wang, Biyu & Bao, Rongxua, 2025. "Determination of the optimal frequency and duration of micro-spray patterns for high-temperature environment tomatoes based on the Fuzzy Borda model," Agricultural Water Management, Elsevier, vol. 307(C).
    6. Jean‐Joseph Minviel & Marc Benoit & Laure Latruffe, 2025. "Environmental and technical efficiency of French suckler sheep farms under pollution‐generating technologies: A multi‐equation stochastic frontier approach using info‐metrics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 73(2), pages 155-180, June.
    7. Yu, Xuemei & Niu, Luqi & Zhang, Yuhui & Xu, Zijian & Zhang, Junwei & Zhang, Shuhui & Li, Jianming, 2024. "Vapour pressure deficit affects crop water productivity, yield, and quality in tomatoes," Agricultural Water Management, Elsevier, vol. 299(C).
    8. Zhang, Cong & Huang, Xian & Zhang, Xingwei & Wan, Li & Wang, Zhenhong, 2021. "Effects of biochar application on soil nitrogen and phosphorous leaching loss and oil peony growth," Agricultural Water Management, Elsevier, vol. 255(C).
    9. Gong, Xuewen & Qiu, Rangjian & Ge, Jiankun & Bo, Guokui & Ping, Yinglu & Xin, Qingsong & Wang, Shunsheng, 2021. "Evapotranspiration partitioning of greenhouse grown tomato using a modified Priestley–Taylor model," Agricultural Water Management, Elsevier, vol. 247(C).
    10. Xufeng Li & Juanjuan Ma & Lijian Zheng & Jinping Chen & Xihuan Sun & Xianghong Guo, 2022. "Optimization of the Regulated Deficit Irrigation Strategy for Greenhouse Tomato Based on the Fuzzy Borda Model," Agriculture, MDPI, vol. 12(3), pages 1-16, February.
    11. Hengrui Cao & Konghao Xu & Li Zhang & Zhongqiu Liu & Ziyang Wang & Haijun Fu, 2025. "Multi-Plane Virtual Vector-Based Anti-Disturbance Model Predictive Fault-Tolerant Control for Electric Agricultural Equipment Applications," Energies, MDPI, vol. 18(14), pages 1-19, July.
    12. Yi, Ping & Liu, Hao & Liu, Shengxing & Han, Yang & Zhang, Xianbo & Yang, Guang & Wang, Chunting & Kader, Abdoul & Qiang, Xiaoman & Wang, Jinglei, 2024. "Assessment for aerodynamic and canopy resistances in simulating latent heat flux of Venlo-type greenhouse tomato," Agricultural Water Management, Elsevier, vol. 297(C).
    13. Haofang Yan & Song Huang & Jianyun Zhang & Chuan Zhang & Guoqing Wang & Lanlan Li & Shuang Zhao & Mi Li & Baoshan Zhao, 2022. "Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    14. Wu, Zhuqing & Fan, Yaqiong & Qiu, Yuan & Hao, Xinmei & Li, Sien & Kang, Shaozhong, 2022. "Response of yield and quality of greenhouse tomatoes to water and salt stresses and biochar addition in Northwest China," Agricultural Water Management, Elsevier, vol. 270(C).
    15. Xing Zhang & Yuexiang Luo & Tianning Li, 2025. "A Review of Research on Secure Aggregation for Federated Learning," Future Internet, MDPI, vol. 17(7), pages 1-39, July.
    16. Wang, Haidong & Cheng, Minghui & Zhang, Shaohui & Fan, Junliang & Feng, Hao & Zhang, Fucang & Wang, Xiukang & Sun, Lijun & Xiang, Youzhen, 2021. "Optimization of irrigation amount and fertilization rate of drip-fertigated potato based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods," Agricultural Water Management, Elsevier, vol. 256(C).
    17. Zhiyu Zuo & Tianyuan Lü & Jicheng Sun & Haitao Peng & Deyong Yang & Jinxiu Song & Guoxin Ma & Hanping Mao, 2025. "Dynamic Water and Fertilizer Management Strategy for Greenhouse Tomato Based on Morphological Characteristics," Agriculture, MDPI, vol. 15(3), pages 1-23, January.
    18. Zohaib Khan & Yue Shen & Hui Liu, 2025. "ObjectDetection in Agriculture: A Comprehensive Review of Methods, Applications, Challenges, and Future Directions," Agriculture, MDPI, vol. 15(13), pages 1-36, June.
    19. Li, Bo & Shi, Bijiao & Yao, Zhenzhu & Kumar Shukla, Manoj & Du, Taisheng, 2020. "Energy partitioning and microclimate of solar greenhouse under drip and furrow irrigation systems," Agricultural Water Management, Elsevier, vol. 234(C).
    20. Magdalena Pawełkowicz & Agata Głuchowska & Ewa Mirzwa-Mróz & Bartłomiej Zieniuk & Zhimin Yin & Czesław Zamorski & Arkadiusz Przybysz, 2025. "Molecular Insights into Powdery Mildew Pathogenesis and Resistance in Cucurbitaceous Crops," Agriculture, MDPI, vol. 15(16), pages 1-33, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:15:y:2025:i:9:p:994-:d:1648884. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.