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.
2022
Forfattere
Mateusz Liziniewicz Mats Berlin Thomas Solvin Henrik R. Hallingbäck Matti Haapanen Seppo Ruotsalainen Arne SteffenremSammendrag
Norway spruce is a major industrial tree species in Fennoscandia and future productivity of the species must be secured by matching the variation in adaptation of the species with suitable sites for optimized performance. An appropriate transfer model for forest reproductive material (FRM) is crucial for regeneration of productive forests in the changing climatic conditions that are predicted to occur in Fennoscandia. We have developed a transfer model for prediction of height of Norway spruce in Norway, Sweden, and Finland, using data acquired from 438 progeny and provenance trials with 1919 genetic entries of local and transferred origins. Transfer of genetic material at a given site was expressed in terms of the difference in daylength (photoperiod) between the site and its origin. This variable best reflected the nonlinear response to transfer that has been commonly reported in previous studies. Apart from the transfer variable, the height prediction model included the age of material when height measurements were acquired, annual temperature sum over 5 °C, precipitation during the vegetation period, and interaction terms between test site and transfer variables. The results show that long northward transfers (4-5° latitude) seem to be optimal for relatively mild sites in southern parts of the countries where growing season is longer, and shorter northward transfers (2-4° latitude) for harsher northern sites with shorter growing seasons. The transfer model also predicts that southward transfers of Norway spruce would result in height growth reductions. The developed model provides foundations for development of common or national recommendations for genetically improving Norway spruce material in Fennoscandia.
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Vincent Baillet Lorraine Balaine Xabier Diaz De Otalora Divina Gracia P. Rodriguez Joanna Frątczak-Müller Bjørn Egil Flø Habtamu Alem Barbara Amon Vasileios Anestis Thomas BartzanasSammendrag
The MilKey project aims at assessing the environmental, economic, and social sustainability of European dairy production systems, and at identifying ‘win-win’ farming practices for sustainable and greenhouse gas (GHG) optimised milk production. In this context, a holistic model was developed to evaluate the sustainability of specialised dairy farms and was entitled DEXi-Dairy. This model has the potential of aiding the identification of GHG and nitrogen (N) emission mitigation options and assessing their effects across multiple sustainability aspects. DEXi-Dairy covers the three sustainability pillars, i.e., environmental, economic, and social. Based on the ‘DEX’ multi-criteria methodology, the model is detailed under the form of a tree structure represented by four main hierarchical layers, i.e., branches, principles, criteria, and indicators. DEXi-Dairy was built following a participatory and interdisciplinary approach by MilKey project partners. It was then tested on three case study farms from Ireland, France, and Germany, respectively, using data from 2020. The DEXi-Dairy indicator handbook describes the sustainability tree and selected indicators to assess dairy production systems over a production year. Overall, this document can be used as a basis to replicate and expand the sustainability assessment framework developed as part of the MilKey project.
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
The British forestry sector lacks reliable dynamic growth models for stands of improved Sitka spruce, the most important commercial forest type in Great Britain. The aim of this study is to fill this gap by trialling a new modelling framework and to lay the foundations of a future dynamic growth simulator for that forest type. First, we present single tree diameter and height increment models that are climate sensitive and include explicit competition effects. The predictions from the increment models are pooled to project diameter and height at a given age. These projections are then used as inputs to an integrated taper model from which stochastic tree volume predictions are obtained. Retrospective data from over 1400 trees collected in two extensive genetic trials in Scotland and Wales were used for the purposes of this study. Diameter increment and height increment predictions were highly accurate and diameter and height projections proved consistent. The predicted volume at the time of harvesting also exhibited a high degree of accuracy, which shows the robustness of our approach. Further data will be needed in the future to recalibrate the present models and extend their range of validity to the whole of Great Britain.
Forfattere
Richard Estell Shelemia Nyamuryekung'e Darren K. James Sheri Spiegal Andres F. Cibils Alfredo L. Gonzalez Matthew M. McIntosh Kirsten RomigSammendrag
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Forfattere
Ingerd Skow Hofgaard Guro Brodal Marit Almvik Morten Lillemo Aina Lundon Russenes Simon Graham Edwards Heidi Udnes AamotSammendrag
Over recent decades, the Norwegian cereal industry has had major practical and financial challenges associated with the occurrence of Fusarium head blight (FHB) pathogens and their associated mycotoxins in cereal grains. Deoxynivalenol (DON) is one of the most common Fusarium-mycotoxins in Norwegian oats, however T-2 toxin (T2) and HT-2 toxin (HT2) are also commonly detected. The aim of our study was to rank Nordic spring oat varieties and breeding lines by content of the most commonly occurring Fusarium mycotoxins (DON and HT2 + T2) as well as by the DNA content of their respective producers. We analyzed the content of mycotoxins and DNA of seven fungal species belonging to the FHB disease complex in grains of Nordic oat varieties and breeding lines harvested from oat field trials located in the main cereal cultivating district in South-East Norway in the years 2011–2020. Oat grains harvested from varieties with a high FHB resistance contained on average half the levels of mycotoxins compared with the most susceptible varieties, which implies that choice of variety may indeed impact on mycotoxin risk. The ranking of oat varieties according to HT2 + T2 levels corresponded with the ranking according to the DNA levels of Fusarium langsethiae, but differed from the ranking according to DON and Fusarium graminearum DNA. Separate tests are therefore necessary to determine the resistance towards HT2 + T2 and DON producers in oats. This creates practical challenges for the screening of FHB resistance in oats as today’s screening focuses on resistance to F. graminearum and DON. We identified oat varieties with generally low levels of both mycotoxins and FHB pathogens which should be preferred to mitigate mycotoxin risk in Norwegian oats.
Forfattere
Nhat Strøm-AndersenSammendrag
Det er ikke registrert sammendrag
Forfattere
Nhat Strøm-AndersenSammendrag
This paper investigates the adoption of digital technologies for food waste reduction and prevention in Norway. It goes beyond studying one single technology, aiming to have a broad understanding of digital technology adoption as ‘a (digital) innovation system’ by applying a multiple case study of four different digital technologies used by companies in the food and hospitality sector in Norway. I strive to understand why Norwegian companies, i.e. food producers, grocery chains, restaurants, and cafes (or technology adopters) adopt the technologies in the first place and what benefits and challenges they may encounter along with the adoption. Data inputs for this paper are gathered from semi-structured interviews with several technology adopters. Empirical insights show that the benefits include economic advantage by reducing the amount of waste and increased awareness among employees. However, there are at least several challenges concerning the adoption of digital technologies. Some adopters found that the digital technologies were too costly, incompatible with their internal (IT) systems, or mismatched economic models. Another challenge is employee awareness about food waste and related digital technologies. The paper sheds light on the multiple and complex challenges in adopting digital technologies for food waste prevention and reduction.
Forfattere
Therese With Berge Jakob Geipel Maximilian Pircher El Houssein Chouaib Harik Kristian RindalSammendrag
Det er ikke registrert sammendrag