Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment
Cucumber powdery mildew, caused by Podosphaera xanthii, can lead to significant yield losses in greenhouse cultivation. A calendar-based fungicide spray program is commonly employed by farmers, often leading to excessive spraying irrespective of disease conduciveness under certain weather conditions...
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| Format: | Article |
| Language: | English |
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Hanrimwon Publishing Company
2025-06-01
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| Series: | The Plant Pathology Journal |
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| Online Access: | http://ppjonline.org/upload/pdf/PPJ-FT-01-2025-0010.pdf |
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| author | Min Son Haejun Jeong Jin-Yong Jung Jiwon Park Jiyoon Park Hoyoung Park Jonghan Yoon Se-Hoon Jung Chun-Bo Sim Kwang-Hyung Kim Sook-Young Park |
| author_facet | Min Son Haejun Jeong Jin-Yong Jung Jiwon Park Jiyoon Park Hoyoung Park Jonghan Yoon Se-Hoon Jung Chun-Bo Sim Kwang-Hyung Kim Sook-Young Park |
| author_sort | Min Son |
| collection | DOAJ |
| description | Cucumber powdery mildew, caused by Podosphaera xanthii, can lead to significant yield losses in greenhouse cultivation. A calendar-based fungicide spray program is commonly employed by farmers, often leading to excessive spraying irrespective of disease conduciveness under certain weather conditions. Therefore, a disease model that can predict the onset of symptoms for determining when to start the first spray applications during a season is needed. This study developed a disease onset forecasting model, which uses growing degree days and leaf wetness duration as input variables, to aid the spray program for cucumber powdery mildew in the greenhouse environment. The model was calibrated using disease onset dates and corresponding weather data collected from two consecutive greenhouse experiments in 2022. As a result, we successfully simulated the symptom onset date with a margin of error of 5.5 days across two validation trials in 2023 and 2024. Further improvements to the model are needed to establish a model-based fungicide program in the greenhouse environment, which can be done by securing more data from additional trials for further modification and calibration of the model. |
| format | Article |
| id | doaj-art-e776f81225db4c80bc5f409becd430e0 |
| institution | DOAJ |
| issn | 1598-2254 2093-9280 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Hanrimwon Publishing Company |
| record_format | Article |
| series | The Plant Pathology Journal |
| spelling | doaj-art-e776f81225db4c80bc5f409becd430e02025-08-20T03:10:09ZengHanrimwon Publishing CompanyThe Plant Pathology Journal1598-22542093-92802025-06-0141341942410.5423/PPJ.FT.01.2025.00102520Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse EnvironmentMin Son0Haejun Jeong1Jin-Yong Jung2Jiwon Park3Jiyoon Park4Hoyoung Park5Jonghan Yoon6Se-Hoon Jung7Chun-Bo Sim8Kwang-Hyung Kim9Sook-Young Park10 Department of Agricultural Biotechnology, Seoul National University, Seoul 08826, Korea Department of Plant Medicine, Sunchon National University, Suncheon 57922, Korea Department of Agricultural Biotechnology, Seoul National University, Seoul 08826, Korea Department of Plant Medicine, Sunchon National University, Suncheon 57922, Korea Department of Plant Medicine, Sunchon National University, Suncheon 57922, Korea Department of Plant Medicine, Sunchon National University, Suncheon 57922, Korea Department of Plant Medicine, Sunchon National University, Suncheon 57922, Korea Department of Computer Engineering, Sunchon National University, Suncheon 57922, Korea Department of Artificial Intelligence Engineering, Sunchon National University, Suncheon 57922, Korea Department of Agricultural Biotechnology, Seoul National University, Seoul 08826, Korea Department of Plant Medicine, Sunchon National University, Suncheon 57922, KoreaCucumber powdery mildew, caused by Podosphaera xanthii, can lead to significant yield losses in greenhouse cultivation. A calendar-based fungicide spray program is commonly employed by farmers, often leading to excessive spraying irrespective of disease conduciveness under certain weather conditions. Therefore, a disease model that can predict the onset of symptoms for determining when to start the first spray applications during a season is needed. This study developed a disease onset forecasting model, which uses growing degree days and leaf wetness duration as input variables, to aid the spray program for cucumber powdery mildew in the greenhouse environment. The model was calibrated using disease onset dates and corresponding weather data collected from two consecutive greenhouse experiments in 2022. As a result, we successfully simulated the symptom onset date with a margin of error of 5.5 days across two validation trials in 2023 and 2024. Further improvements to the model are needed to establish a model-based fungicide program in the greenhouse environment, which can be done by securing more data from additional trials for further modification and calibration of the model.http://ppjonline.org/upload/pdf/PPJ-FT-01-2025-0010.pdfdisease forecastfungicide spray programpodosphaera xanthii |
| spellingShingle | Min Son Haejun Jeong Jin-Yong Jung Jiwon Park Jiyoon Park Hoyoung Park Jonghan Yoon Se-Hoon Jung Chun-Bo Sim Kwang-Hyung Kim Sook-Young Park Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment The Plant Pathology Journal disease forecast fungicide spray program podosphaera xanthii |
| title | Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment |
| title_full | Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment |
| title_fullStr | Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment |
| title_full_unstemmed | Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment |
| title_short | Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment |
| title_sort | predicting the onset date of cucumber powdery mildew based on growing degree days and leaf wetness duration in greenhouse environment |
| topic | disease forecast fungicide spray program podosphaera xanthii |
| url | http://ppjonline.org/upload/pdf/PPJ-FT-01-2025-0010.pdf |
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