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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

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Sammendrag

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.

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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.

Sammendrag

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.

Sammendrag

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.

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Chapter 6 provides a summary of research findings from the case studies in India that showed significant benefits of another climate-smart rice system, namely the direct seeded rice (DSR), which shows positive outcomes compared to puddled transplanted rice in terms of (i) higher water productivity, (ii) reduction in labour and production costs, and (iii) lower methane emissions. However, there are some challenges for adopting DSR which include poor weed control, need for specific water and nutrient management, availability of suitable varieties for DSR, increased damage by soil pathogens and nutrient disorders, especially N and micronutrients. Possible solutions to overcome these challenges that will make it easier for adoption by farmers will be analysed in this chapter. Field data/evidence from India and other previous studies under both dry and wet conditions were presented to support the solutions. The options for scaling up DSR combined by need-based farmer trainings, accessibility to good quality seeds, availability and use of drum seeders and selective herbicides were discussed.