A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal))
Brown rice hopper (BRH), a key insect pest to rice, is known can change its longevity and fecundity due to rising temperature. Here we modeled the response of BRH population growth to temperature using an age-structured population growth model, based on reported responses of BRH development time, su...
| Autores principales: | , , , , |
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| Formato: | Preprint |
| Lenguaje: | Inglés |
| Publicado: |
Cold Spring Harbor Laboratory
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/172786 |
| _version_ | 1855539479560847360 |
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| author | Wei, Xiaojing Balanza, Jane Girly Ngoc, Vu Thi Bich Giles, James Edward Swaans, Cornelis |
| author_browse | Balanza, Jane Girly Giles, James Edward Ngoc, Vu Thi Bich Swaans, Cornelis Wei, Xiaojing |
| author_facet | Wei, Xiaojing Balanza, Jane Girly Ngoc, Vu Thi Bich Giles, James Edward Swaans, Cornelis |
| author_sort | Wei, Xiaojing |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Brown rice hopper (BRH), a key insect pest to rice, is known can change its longevity and fecundity due to rising temperature. Here we modeled the response of BRH population growth to temperature using an age-structured population growth model, based on reported responses of BRH development time, survival, and fecundity to temperature. We applied this model to predict historical level of BRH population growth in the Mekong River Delta (MRD) and compared the predictions with historically observed percentages of rice fields infested by BRH. The model was able to capture the seasonal variation in BRH infestation and the optimal temperature for BRH activities (app. 26.5 degrees C). These results highlighted the importance of temperature in regulating BRH population growth. The model, with further improvements as discussed, could be used for projecting BRH activity under rising temperatures or predicting BRH outbreaks due to seasonal temperature anomalies. |
| format | Preprint |
| id | CGSpace172786 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Cold Spring Harbor Laboratory |
| publisherStr | Cold Spring Harbor Laboratory |
| record_format | dspace |
| spelling | CGSpace1727862025-11-11T19:06:03Z A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal)) Wei, Xiaojing Balanza, Jane Girly Ngoc, Vu Thi Bich Giles, James Edward Swaans, Cornelis rice pest control modelling climate Brown rice hopper (BRH), a key insect pest to rice, is known can change its longevity and fecundity due to rising temperature. Here we modeled the response of BRH population growth to temperature using an age-structured population growth model, based on reported responses of BRH development time, survival, and fecundity to temperature. We applied this model to predict historical level of BRH population growth in the Mekong River Delta (MRD) and compared the predictions with historically observed percentages of rice fields infested by BRH. The model was able to capture the seasonal variation in BRH infestation and the optimal temperature for BRH activities (app. 26.5 degrees C). These results highlighted the importance of temperature in regulating BRH population growth. The model, with further improvements as discussed, could be used for projecting BRH activity under rising temperatures or predicting BRH outbreaks due to seasonal temperature anomalies. 2025-01-19 2025-02-05T10:04:45Z 2025-02-05T10:04:45Z Preprint https://hdl.handle.net/10568/172786 en Open Access application/pdf Cold Spring Harbor Laboratory Wei, X.; Balanza, J.G.; Ngoc, V.T.B.; Giles, J.E.; Swaans, C.P.M. (2025) A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal)). [Preprint]. BioRxiv. Posted on 19 January 2025. DOI: https://doi.org/10.1101/2025.01.15.633297 |
| spellingShingle | rice pest control modelling climate Wei, Xiaojing Balanza, Jane Girly Ngoc, Vu Thi Bich Giles, James Edward Swaans, Cornelis A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal)) |
| title | A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal)) |
| title_full | A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal)) |
| title_fullStr | A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal)) |
| title_full_unstemmed | A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal)) |
| title_short | A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal)) |
| title_sort | simple age structured temperature dependent population growth model of brown rice hopper nilaparvata lugens stal |
| topic | rice pest control modelling climate |
| url | https://hdl.handle.net/10568/172786 |
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