Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015–2020
To preventively control fire blight in apple trees and determine policies regarding field monitoring, the Maryblyt ver. 7.1 model (MARYBLYT) was evaluated in the cities of Chungju, Jecheon, and Eumseong in Korea from 2015 to 2020. The number of blossom infection alerts was the highest in 2020 and th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hanrimwon Publishing Company
2021-12-01
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| Series: | The Plant Pathology Journal |
| Subjects: | |
| Online Access: | http://www.ppjonline.org/upload/pdf/PPJ-OA-07-2021-0120.pdf |
| _version_ | 1811214598897926144 |
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| author | Mun-Il Ahn Sung Chul Yun |
| author_facet | Mun-Il Ahn Sung Chul Yun |
| author_sort | Mun-Il Ahn |
| collection | DOAJ |
| description | To preventively control fire blight in apple trees and determine policies regarding field monitoring, the Maryblyt ver. 7.1 model (MARYBLYT) was evaluated in the cities of Chungju, Jecheon, and Eumseong in Korea from 2015 to 2020. The number of blossom infection alerts was the highest in 2020 and the lowest in 2017 and 2018. And the common feature of MARYBLYT blossom infection risks during the flowering period was that the time of BIR-High or BIR-Infection alerts was the same regardless of location. The flowering periods of the trees required to operate the model varied according to the year and geographic location. The model predicts the risk of “Infection” during the flowering periods, and recommends the appropriate times to control blossom infection. In 2020, when flower blight was severe, the difference between the expected date of blossom blight symptoms presented by MARYBLYT and the date of actual symptom detection was only 1–3 days, implying that MARYBLYT is highly accurate. As the model was originally developed based on data obtained from the eastern region of the United States, which has a climate similar to that of Korea, this model can be used in Korea. To improve field utilization, however, the entire flowering period of multiple apple varieties needs to be considered when the model is applied. MARYBLYT is believed to be a useful tool for determining when to control and monitor apple cultivation areas that suffer from serious fire blight problems. |
| first_indexed | 2024-04-12T06:07:18Z |
| format | Article |
| id | doaj.art-71305ad139c74aab976211f8ac2b932f |
| institution | Directory Open Access Journal |
| issn | 1598-2254 2093-9280 |
| language | English |
| last_indexed | 2024-04-12T06:07:18Z |
| publishDate | 2021-12-01 |
| publisher | Hanrimwon Publishing Company |
| record_format | Article |
| series | The Plant Pathology Journal |
| spelling | doaj.art-71305ad139c74aab976211f8ac2b932f2022-12-22T03:44:50ZengHanrimwon Publishing CompanyThe Plant Pathology Journal1598-22542093-92802021-12-0137654355410.5423/PPJ.OA.07.2021.01202283Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015–2020Mun-Il Ahn0Sung Chul Yun1 EPINET Co., Ltd., Anyang 14056, Korea Department of Pharmaceutical Engineering & Biotechnology, Sunmoon University, Asan 31460, KoreaTo preventively control fire blight in apple trees and determine policies regarding field monitoring, the Maryblyt ver. 7.1 model (MARYBLYT) was evaluated in the cities of Chungju, Jecheon, and Eumseong in Korea from 2015 to 2020. The number of blossom infection alerts was the highest in 2020 and the lowest in 2017 and 2018. And the common feature of MARYBLYT blossom infection risks during the flowering period was that the time of BIR-High or BIR-Infection alerts was the same regardless of location. The flowering periods of the trees required to operate the model varied according to the year and geographic location. The model predicts the risk of “Infection” during the flowering periods, and recommends the appropriate times to control blossom infection. In 2020, when flower blight was severe, the difference between the expected date of blossom blight symptoms presented by MARYBLYT and the date of actual symptom detection was only 1–3 days, implying that MARYBLYT is highly accurate. As the model was originally developed based on data obtained from the eastern region of the United States, which has a climate similar to that of Korea, this model can be used in Korea. To improve field utilization, however, the entire flowering period of multiple apple varieties needs to be considered when the model is applied. MARYBLYT is believed to be a useful tool for determining when to control and monitor apple cultivation areas that suffer from serious fire blight problems.http://www.ppjonline.org/upload/pdf/PPJ-OA-07-2021-0120.pdfblossom infectionforecasting model |
| spellingShingle | Mun-Il Ahn Sung Chul Yun Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015–2020 The Plant Pathology Journal blossom infection forecasting model |
| title | Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015–2020 |
| title_full | Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015–2020 |
| title_fullStr | Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015–2020 |
| title_full_unstemmed | Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015–2020 |
| title_short | Application of the Maryblyt Model for the Infection of Fire Blight on Apple Trees at Chungju, Jecheon, and Eumsung during 2015–2020 |
| title_sort | application of the maryblyt model for the infection of fire blight on apple trees at chungju jecheon and eumsung during 2015 2020 |
| topic | blossom infection forecasting model |
| url | http://www.ppjonline.org/upload/pdf/PPJ-OA-07-2021-0120.pdf |
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