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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.

2012

Sammendrag

Fjøset ved Tingvoll gård, økologisk melkeproduksjonsbruk, arktiektur, utforming og gjødselhåndtering. Del av undervisningsopplegg Vg3, Økologisk Landbruk

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Sammendrag

During cold storage plums (Prunus domestica L.) are susceptible to developing internal disorders, such as jellying and internal browning. Time-resolved reflectance spectroscopy (TRS) is a promising method to detect internal disorders in fruit non-destructively. Experiments were performed with plums (‘Jubileum’) stored at 1 and 4°C for three weeks. Samples of 30 plums of uniform ripeness were measured during a 5 day shelf life period without storage or after 3 weeks of storage. In addition to TRS measurements (absorption coefficients and scattering coefficients at 670 and 780 nm) standard quality factors inlcuding colour, firmness, soluble solids content and titratable acidity were analyzed. The plums were cut in halves and the amount of internal disorders was evaluated from scale 0 (healthy) to 10 (all surface affected). The correlation between internal disorders and quality factors like firmness, soluble solids content and acidity indicated that more ripe plums were more susceptible to internal disorders. Colour parameters (L*, a* b*) showed significant and negative correlations with internal disorders. The absorption coefficients measured at 670 and 780 nm increased with the development of jellying and browning, which allowed distinguishing healthy fruit from those affected by internal disorders and the slightly browned fruit from those with medium and severe browning. Scattering coefficients were not influenced by chilling injury development

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Sammendrag

Increasing inter-continental trade of wood chips for biofuel represents a significant risk of introducing invasive pest species that can cause biome-scale impacts on forest ecosystems. Some potentially invasive species have the capacity to cause high tree mortality on the Eurasian continent and could cause significant impacts on biodiversity and ecosystem functions. Because eradication of established species is difficult, there is a need for scientific studies that can evaluate the reliability of current import control practices to ensure lowest possible risk of establishment of potentially harmful species. We used a stochastic simulation model and sensitivity analyses to evaluate the chance of detecting harmful pests in imported wood chips by sampling according to the current use of internationally accepted standards. As an example, we focused on the North American beetle Agrilus anxius (bronze birch borer) that can cause 100% mortality of European and Asian birch species in North America. We simulated the process from logging in North America to sampling the wood chips upon arrival in Europe. The probability of pest detection for current sampling protocols used by port inspectors was very low (<0.00005), while a 90% chance of detection may require sampling 27 million litres of wood chips per shipload.