A simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal))

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cg.authorship.typesCGIAR single centreen_US
cg.contributor.affiliationInternational Center for Tropical Agricultureen_US
cg.contributor.affiliationBioversity Internationalen_US
cg.creator.identifierXiaomin Wei: 0000-0003-2658-1694en_US
cg.creator.identifierJane Girly Balanza: 0000-0002-5859-9840en_US
cg.creator.identifierJames Giles: 0000-0003-1899-9206en_US
cg.identifier.doihttps://doi.org/10.1101/2025.01.15.633297en_US
cg.subject.alliancebiovciatAGRICULTUREen_US
cg.subject.alliancebiovciatCLIMATE CHANGE ADAPTATIONen_US
cg.subject.alliancebiovciatMODELINGen_US
cg.subject.alliancebiovciatPESTS AND DISEASESen_US
cg.subject.alliancebiovciatRICEen_US
dc.contributor.authorWei, Xiaojingen_US
dc.contributor.authorBalanza, Jane Girlyen_US
dc.contributor.authorNgoc, Vu Thi Bichen_US
dc.contributor.authorGiles, James Edwarden_US
dc.contributor.authorSwaans, Cornelisen_US
dc.date.accessioned2025-02-05T10:04:45Zen_US
dc.date.available2025-02-05T10:04:45Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/172786en_US
dc.titleA simple age-structured, temperature-dependent population growth model of brown rice hopper (Nilaparvata lugens (Stal))en_US
dcterms.abstractBrown 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.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationWei, 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/10.1101/2025.01.15.633297en_US
dcterms.extent12 p.en_US
dcterms.issued2025-01-19en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-ND-4.0en_US
dcterms.publisherCold Spring Harbor Laboratoryen_US
dcterms.subjectriceen_US
dcterms.subjectpest controlen_US
dcterms.subjectmodellingen_US
dcterms.subjectclimateen_US
dcterms.typePreprinten_US

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