Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2025
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Ivan M. De-la-Cruz Femke Batsleer Dries Bonte Carolina Diller Timo Hytönen José Luis Izquierdo Sonia Osorio David Posé Aurora de la Rosa Martijn Lodewijk Vandegehuchte Anne Muola Johan A. StenbergSammendrag
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Frank Thomas Ndjomatchoua Richard Olaf James Hamilton Stutt Ritter Atoundem Guimapi Luca Rossini Christopher A. GilliganSammendrag
Empirical field data and simulation models are often used separately to monitor and analyse the dynamics of insect pest populations over time. Greater insight may be achieved when field data are used directly to parametrize population dynamic models. In this paper, we use a differential evolution algorithm to integrate mechanistic physiological-based population models and monitoring data to estimate the population density and the physiological age of the first cohort at the start of the field monitoring. We introduce an ad hoc temperature-driven life-cycle model of Bemisia tabaci in conjunction with field monitoring data. The likely date of local whitefly invasion is estimated, with a subsequent improvement of the model’s predictive accuracy. The method allows computation of the likely date of the first field incursion by the pest and demonstrates that the initial physiological age somewhat neglected in prior studies can improve the accuracy of model simulations. Given the increasing availability of monitoring data and models describing terrestrial arthropods, the integration of monitoring data and simulation models to improve model prediction and pioneer invasion date estimate will lead to better decision-making in pest management.
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Begum Bilgic Judit Sandquist Svein Jarle Horn Lu Feng Cecilie Græsholt Asmira Delic Roger Antoine Khalil Michal SposobSammendrag
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Sweet cherry fruit in Norway is sold to the domestic market for fresh consumption. Gradually the self-fertile and high yielding cultivar ‘Lapins’ has become dominant and in the 2024 season, cv. Lapins made up 60% of the total sweet cherry volume. The production of sweet cherry in Norway is located around three main packinghouses with minor to no differences in ripening time dependent on the weather conditions of the year. Situations with too much fruit on the market at the same time have been experienced, and fruit with a longer possible distribution time have been demanded from the packinghouses. In postharvest experiments, deliveries to the same packinghouse the same day exposed to exactly the same treatments were compared and differed in fungal decay from less than 5% to 60% after simulated shelf life. The dominating fungal decay was Mucor rot and grey mold. The risk of fungal decay pre- and postharvest on fruit grown in a humid climate (500 to 1700 mm annual precipitation) increases with high humidity under the plastic cover, with fruit-to-fruit contact in clusters, with incidence of non-developing or damaged fruit, and with minimal effect of the plant protection program. In order to improve the market situation in Norway, postharvest treatments alone are probably not enough. A holistic approach is needed through introduction of new cultivars with high yield potential that ripen over a longer period of time and are thoroughly tested in real scale experiments simulating distribution. A major challenge will be how to motivate growers to plant cultivars with potentially less income than possible with the self-fertile, high yielding cv. ‘Lapins’.