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.
2022
Authors
Arne SteffenremAbstract
No abstract has been registered
Authors
Svein Eilertsen Mattias Olsson Andreas Seiler Carolin Berndt Manisha Bhardwaj Aina Iren WinsvoldAbstract
No abstract has been registered
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No abstract has been registered
Authors
Henriette Engen Berg Steven Ray Haakon Wilson Elsa Lundanes Bernd Thiede Einar Osland Vik-MoAbstract
A significant challenge in medical diagnostics is the development of simple but efficient tools for the detection/quantification of several biomarkers simultaneously using non-invasive sampling techniques. In this regard, the analysis of proteins (proteomics) is essential for understanding cellular processes and biomarker discovery. However, proteins vary greatly in terms of concentration levels and chemical properties in biological materials. Further, low sample sizes of modern biological models (e.g., patient-derived cell cultures, exosomes, and organoids) remain a big analytical challenge. The present work has focused on the brain cancer glioblastoma, which is in great need of increased knowledge and non-invasive sampling techniques. In addition, human organoids, which could act as a future in vitro model for disease modeling and personalized medicine, have been investigated. We have used high-resolution mass spectrometry for protein identification, exploring a selection of miniaturized liquid chromatography formats (for separation) and sample preparation techniques. By implementing these techniques, we have been able to study exosomes, 2D/3D cell cultures, and organoids, identifying over 6300 proteins in a single run using less than 5 µg of protein. The work has provided important insight into the possibilities and challenges of several novel models. It represents a development toward deeper proteomic profiling focusing on maintaining a high protein yield and time efficiency.
Authors
El Houssein Chouaib HarikAbstract
No abstract has been registered
Authors
Kim Viggo Paulsen Weiby Sophie Julie Krizsan Margrete Eknæs Angela Dagmar Schwarm Anne C Whist Ingunn Schei Håvard Steinshamn Peter Lund K.A. Beauchemin Ingjerd DønnemAbstract
No abstract has been registered
Authors
Brunon Malicki Luis Morgado Jenni Nordén Marit Frederikke Markussen Bjorbækmo Olav Skarpaas O. Janne Kjønaas Bjørn Norden Håvard KauserudAbstract
No abstract has been registered
Authors
Hilde HallandAbstract
Sustainability is proposed as a solution to the many negative consequences of modern agriculture. However, although science and policy have aimed for sustainability for more than two decades, it seems that we are not making enough progress. This is due to the complexities of the sustainability concept and that we need to better understand how we can create change. In seeing sustainability as a learning process, this thesis aims to understand how to enhance farm sustainability in Arctic Norway. This is achieved by combining four research rationales: stakeholders’ perspectives, sustainability assessments, sustainability learning, and participatory approaches. I use a case study strategy involving farms in Arctic Norway. By applying a multimethod qualitative approach, I explore the topic through three empirical papers wherein stakeholder participation plays a prominent role. By discussing the findings, I conceptualize farm sustainability as a long-term and multilevel learning process. To achieve farm sustainability, several steps must be aligned: there must be a purpose for the process, various stakeholders must take part, we must know what to learn, a transdisciplinary methodology must be used, and the process should be flexible. In addition, the process must be embedded in the very way of farming. The relevance of these findings is that farm sustainability must be aligned with change toward improved sustainability in society at large. Context plays a major role in what, why, and how we can learn, as well as in who we can learn with. Therefore, farm sustainability as a learning process must be translated to fit the empirical context. This thesis contributes to theory development in the field of agricultural sustainability. Furthermore, it deepens our understanding of how values and context influence farm sustainability, demonstrates the relevance of combining sustainability assessments with a learning process, and broadens our understanding of sustainability learning in agriculture. In combining ‘sustainability as a theory’ and ‘sustainability as a practice’, lies the key to farm sustainability in Arctic Norway.
Authors
Julian Helfenstein Matthias Bürgi Niels Debonne Thymios Dimopoulos Vasco Diogo Wenche Dramstad Anna Edlinger Maria Garcia-Martin Józef Hernik Thanasis Kizos Angela Lausch Christian Levers Franziska Mohr Gerardo Moreno Robert Pazur Michael Siegrist Rebecca Swart Claudine Thenail Peter H. Verburg Tim G Williams Anita Zarina Felix HerzogAbstract
It has been shown that the COVID-19 pandemic affected some agricultural systems more than others, and even within geographic regions, not all farms were affected to the same extent. To build resilience of agricultural systems to future shocks, it is key to understand which farms were affected and why. In this study, we examined farmers’ perceived robustness to COVID-19, a key resilience capacity. We conducted standardized farmer interviews (n = 257) in 15 case study areas across Europe, covering a large range of socio-ecological contexts and farm types. Interviews targeted perceived livelihood impacts of the COVID-19 pandemic on productivity, sales, price, labor availability, and supply chains in 2020, as well as farm(er) characteristics and farm management. Our study corroborates earlier evidence that most farms were not or only slightly affected by the first wave(s) of the pandemic in 2020, and that impacts varied widely by study region. However, a significant minority of farmers across Europe reported that the pandemic was “the worst crisis in a lifetime” (3%) or “the worst crisis in a decade” (7%). Statistical analysis showed that more specialized and intensive farms were more likely to have perceived negative impacts. From a societal perspective, this suggests that highly specialized, intensive farms face higher vulnerability to shocks that affect regional to global supply chains. Supporting farmers in the diversification of their production systems while decreasing dependence on service suppliers and supply chain actors may increase their robustness to future disruptions.
Authors
Sebastian EiterAbstract
No abstract has been registered