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.
2025
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Gabriela WagnerAbstract
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Stein Joar Hegland Hedda Victoria Barfod Ørbæk Bjørn Arild Hatteland Aud Helen Halbritter Mark Andrew Kusk GillespieAbstract
Plant dependence on pollinator-aided reproduction may decrease with colder andmore unstable climates, for example at higher elevations. Correspondingly, plant pop-ulations may also be more pollen limited in alpine than in lowlands or under moreoptimal conditions. However, such expectations have largely been investigated acrossspecies, and rarely among populations within a species. The findings of such stud-ies may have implications for predictions of plant sexual reproduction in a changingclimate. We combined a bagging experiment of Vaccinium myrtillus (bilberry) flowerswith a supplemental pollen experiment at three sites along an elevational gradient at100, 500 and 900 m a.s.l. in a mild boreal climate, by the Sognefjord, Norway. Ourgoal was to investigate the variation in reproductive success and pollen limitation ina functionally important plant species, V. myrtillus, and to test whether the outcomesmay be dependent on insect flower visitation and climatic context (i.e. temperaturerelated to elevation). Our experimental treatments clearly affected reproductive suc-cess of V. myrtillus. Bagging of flowers reduced the fruit set close to zero, whereassupplemental pollination resulted in 30% higher fruit set. However, fruit set effectsappeared to be independent of elevation in the current study. Total number of seedswas highest at the optimal mid-site location, but here the proportion of mature seedswas also lowest. Our results clearly showed that the reproductive success of V. myrtillusdepends on pollinator visitation and benefits from extra pollen supply, but that theseeffects appeared to be independent of the climatic context
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Christophe Moni Eva Farkas Claire Coutris Hanna Marika Silvennoinen Anders Aas Marit Almvik Liang Wang Kathinka Lang Liu Xingang Marianne StenrødAbstract
Biochar and pesticides are likely to be increasingly used in combination in agricultural soils, yet their combined effects on climate change mitigation remain unexplored. This study presents an 8-month incubation experiment with different soil types (silt loam and sandy loam), biochars (corncob and corn stem), and pesticides (with and without a pesticide mixture), during which CO2 production from soil organic matter (SOM) and biochar mineralisation was monitored using isotopic methods. A comprehensive modelling approach, describing all mineralisation results over the entire incubation with a reduced set of parameters, was employed to isolate the effects of biochar, pesticides, and their interactions across soil types and carbon pools, and captured the dynamic effect of biochar on SOM mineralisation. Over 99.5% of biochars remained inert after 8 months, confirming the role of biochar as a carbon sequestration technology. Biochar addition showed higher SOM stabilisation potential in soil with high clay content compared to soil with low clay content. This suggests that biochar amendment should be considered carefully in clay-depleted soils, as it could result in a loss of native SOM. Corn stem biochar, characterised by high surface area and low C/N ratio, demonstrated higher SOM stabilisation potential than corncob biochar with low surface area and high C/N ratio. Pesticide application reduced SOM mineralisation by 10% regardless of soil and biochar types. Finally, the interaction between corncob biochar and pesticides further reduced SOM mineralisation by 5%, while no interactive effect was observed with corn stem biochar. These findings highlight the importance of considering biochar-pesticide interactions when evaluating the impact of biochar amendments on native SOM stability.
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Magne Nordang Skårn Chloé Grieu Anne-Grete Roer Hjelkrem Katherine Ann Gredvig Nielsen Silje Kvist Simonsen Nora Steinkopf Anne Kjersti Uhlen Guro BrodalAbstract
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Magne Nordang Skårn Chloé Grieu Anne-Grete Roer Hjelkrem Katherine Ann Gredvig Nielsen Silje Kvist Simonsen Nora Steinkopf Anne Kjersti Uhlen Guro BrodalAbstract
Chocolate spot (CS) is one of the most destructive diseases affecting faba beans worldwide, leading to yield reductions of up to 90% in susceptible cultivars under conducive environmental conditions. Traditionally, the disease has been attributed to the fungal pathogens Botrytis fabae and Botrytis cinerea, however recent studies have identified three additional Botrytis species capable of causing the disease. Fungicide applications during flowering are commonly used to control the disease and limit damage to pod set, but this approach is not always effective. The reasons for this lack of control are not fully understood. To increase our understanding of the CS species complex in Norway, we used species-specific PCR to identify different Botrytis species in symptomatic leaves collected at various locations and years. Some Botrytis species are known to be high-risk pathogens for fungicide resistance development, but resistance in Norwegian Botrytis populations in faba bean have not previously been studied. Therefore, we obtained Botrytis isolates from diseased leaves and used a mycelial growth assay to assess their response to the active ingredients (boscalid and pyraclostrobin) in the fungicide commonly used for CS control in Norway. Resistance to both boscalid and pyraclostrobin was detected among B. cinerea isolates, while only resistance to boscalid was detected among B. fabae isolates. To elucidate resistance mechanisms, we analyzed target gene sequences for the presence of mutations known to confer resistance to the two active ingredients. Field experiments were conducted to test the efficacy of various spray timings and fungicides in early and late faba bean varieties. Additionally, we are developing a disease risk model for CS to better understand the conditions that lead to disease and to improve the timing of fungicide applications.