Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2020
Abstract
No abstract has been registered
Authors
Eduardo Collado Carles Castano Jose Antonio Bonet Andreas Hagenbo Juan Martínez de Aragon Sergio de-MiguelAbstract
No abstract has been registered
Abstract
During June 2019, an outbreak of campylobacteriosis occurred in Askøy, an island northwest of Bergen, Norway. According to the publicly available records, over 2000 residents fell ill and 76 were hospitalised, and two deaths were suspected to be associated with Campylobacter infection. By investigating the epidemic pattern and scope, an old caved drinking water holding pool was identified that had been faecally contaminated as indicated by the presence of Escherichia coli (E. coli). Furthermore, Campylobacter bacteria were found at several points in the water distribution system. In the escalated water health crisis, tracking down the infectious source became pivotal for the local municipality in order to take prompt and appropriate action to control the epidemic. A major task was to identify the primary faecal pollution source, which could further assist in tracking down the epidemic origin. Water from the affected pool was analysed using quantitative microbial source tracking (QMST) applying host-specific Bacteroidales 16S rRNA genetic markers. In addition, Campylobacter jejuni, Enterococcus faecalis, Clostridium perfringens and Shiga toxin-producing E. coli were detected. The QMST outcomes revealed that non-human (zoogenic) sources accounted predominantly for faecal pollution. More precisely, 69% of the faecal water contamination originated from horses.
Authors
Shafik Hebous Zhiyang Jia Knut Løyland Thor Olav Thoresen Arnstein ØvrumAbstract
No abstract has been registered
Authors
Shelemia Nyamuryekung'e Andres F. Cibils Richard Estell Dawn VanLeeuwen Caitriana M. Steele Octavio Roacho Estrada Felipe A. Rodriguez Almeida Alfredo L. Gonzalez Sheri SpiegalAbstract
No abstract has been registered
Abstract
Farms in Central Norway, feeding more forage and pasture to their dairy cows, achieved lower milk yield per cow but higher profitability than farms feeding more concentrate feeds, mainly because of more governmental subsidies per kg milk and meat produced. Also, our analysis does not support the general assumption that higher concentrate feeding and milk production lowers global warming potential and energy needed per kg of milk and meat produced compared with more extensive systems
Abstract
In this study, we aim at developing ways to directly translate raw drone data into actionable insights, thus enabling us to make management decisions directly from drone data. Drone photogrammetric data and data analytics were used to model stand-level immediate tending need and cost in regeneration forests. Field reference data were used to train and validate a logistic model for the binary classification of immediate tending need and a multiple linear regression model to predict the cost to perform the tending operation. The performance of the models derived from drone data was compared to models utilizing the following alternative data sources: airborne laser scanning data (ALS), prior information from forest management plans (Prior) and the combination of drone +Prior and ALS +Prior. The use of drone data and prior information outperformed the remaining alternatives in terms of classification of tending needs, whereas drone data alone resulted in the most accurate cost models. Our results are encouraging for further use of drones in the operational management of regeneration forests and show that drone data and data analytics are useful for deriving actionable insights. Key words: UAV, DAP, forest inventory, photogrammetry, precommercial thinning, airborne laser scanning.
Authors
François Lefèvre Ricardo Alía Kjersti Bakkebø Fjellstad Lars Graudal Silvio Daniele Oggioni Mari Rusanen Giovanni Giuseppe Vendramin Michele BozzanoAbstract
No abstract has been registered
Authors
Habtamu AlemAbstract
The study aimed to extend the static concepts of multiproduct technical efficiency and determinants into a dynamic setting within the input distance function framework. The existing literature in performance analysis of the dairy farms in Norway based on static modelling and thus ignores the inter-temporal nature of production decisions. The empirical application focused on the farm-level analysis of the Norwegian dairy sector for 2000- 2018. The dynamic efficiency allows analysing the performance of dairy farms in regards of inter-temporal optimization of the investment behaviour. The analysis shows that the static model efficiency study in the previous studies underestimate the performance of the dairy farms. The marginal effects experience positively correlated with dairy farm technical efficiency whereas copped subsidy and asset debt ratio negatively correlated to the performance of the dairy farm.
Abstract
No abstract has been registered