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.
2021
Forfattere
Claire R. Peart Sergio Tusso Saurabh D. Pophaly Fidel Botero-Castro Chi-Chih Wu David Aurioles-Gamboa Amy B. Baird John W. Bickham Jaume Forcada Filippo Galimberti Neil J. Gemmell Joseph I. Hoffman Kit M. Kovacs Mervi Kunnasranta Christian Lydersen Tommi Nyman Larissa Rosa de Oliveira Anthony J. Orr Simona Sanvito Mia Valtonen Aaron B.A. Shafer Jochen B.W. WolfSammendrag
No abstract has been registered
Forfattere
Hang Su Andre van Eerde Hege Særvold Steen Inger Heldal Sissel Haugslien Irene Ørpetveit Stefanie Caroline Wüstner Makoto Inami Marie Løvoll Espen Rimstad Jihong Liu ClarkeSammendrag
Cardiomyopathy syndrome (CMS) is a severe cardiac disease occurring in the grow-out sea phase of farmed Atlantic salmon with approximately 100 outbreaks annually in Norway. Piscine myocarditis virus (PMCV) is believed to be the causative agent of CMS. There is no vaccine available to control CMS, partially because PMCV withstands propagation in known cell cultures. In the present study, we selected the putative capsid protein of PMCV as the candidate antigen for immunization experiments and produced it in the plant Nicotiana benthamiana by transient expression. The recombinant PMCV antigen formed virus-like particles (VLPs). To evaluate the efficacy of the plant made VLP vaccine, a PMCV infection model was established. In an experimental salmon vaccination trial, the VLP vaccine triggered innate immunity, and indicative but not significant inhibition of viral replication in heart, spleen and kidney tissues was observed. Similarly, a reduction of inflammatory lesions in cardiomyocytes and subendocardial infiltration by mononuclear leukocytes were observed. Therefore, there was no difference in efficacy or immune response observed post the plant made PMCV VLP antigen vaccination. Taken together, this study has demonstrated that plant made VLP antigens should be investigated further as a possible platform for the development of PMCV antigens for a CMS vaccine.
Sammendrag
No abstract has been registered
Forfattere
Divina Gracia P. RodriguezSammendrag
No abstract has been registered
Sammendrag
No abstract has been registered
Forfattere
Marit JørgensenSammendrag
Novel farming systems are needed to counteract land degradation, which is a major threat to ecosystems and livelihoods in Sub-Saharan Africa, and in Ethiopia in particular. Livestock provides significant rural employment and is central to the Ethiopian economy, but also contributes to land degradation. Land is scarce and about 90% of livestock feed is currently derived from shared grazing on highly overgrazed community pastures, exacerbating soil and land degradation. Climate change is predicted to worsen the situation, threatening ecosystems and livelihoods. Developing agriculture in Ethiopia towards robust and sustainable farming systems requires drastic changes in livestock and land management.
Forfattere
Darius Kviklys V. Abukauskas Mekjell Meland Walter Guerra I. Høller Nicola Dalabetta T. Pantezzi J. Carbo J. Lordan A. Karlstrøm Filicidad Fernandez Fernandez M. Bruggenwirth L. Lanar M. Meszaros T Ruhmer S Perren S Cia S Codarin V. Mathieu F. Bernard P Bielicki L Manfrini L Corelli Grapadelli Ann Gomand Jef VercammenSammendrag
No abstract has been registered
Forfattere
Darius KviklysSammendrag
No abstract has been registered
Forfattere
Claus Rasmussen Yoko L. Dupont Henning Bang Madsen Petr Bogusch Dave Goulson Lina Herbertsson Kate Pereira Maia Anders Nielsen Jens M. Olesen Simon G. Potts Stuart P. M. Roberts Markus A. K. Sydenham Per KrygerSammendrag
A recurrent concern in nature conservation is the potential competition for forage plants between wild bees and managed honey bees. Specifically, that the highly sophisticated system of recruitment and large perennial colonies of honey bees quickly exhaust forage resources leading to the local extirpation of wild bees. However, different species of bees show different preferences for forage plants. We here summarize known forage plants for honey bees and wild bee species at national scale in Denmark. Our focus is on floral resources shared by honey bees and wild bees, with an emphasis on both threatened wild bee species and foraging specialist species. Across all 292 known bee species from Denmark, a total of 410 plant genera were recorded as forage plants. These included 294 plant genera visited by honey bees and 292 plant genera visited by different species of wild bees. Honey bees and wild bees share 176 plant genera in Denmark. Comparing the pairwise niche overlap for individual bee species, no significant relationship was found between their overlap and forage specialization or conservation status. Network analysis of the bee-plant interactions placed honey bees aside from most other bee species, specifically the module containing the honey bee had fewer links to any other modules, while the remaining modules were more highly inter-connected. Despite the lack of predictive relationship from the pairwise niche overlap, data for individual species could be summarized. Consequently, we have identified a set of operational parameters that, based on a high foraging overlap (>70%) and unfavorable conservation status (Vulnerable+Endangered+Critically Endangered), can guide both conservation actions and land management decisions in proximity to known or suspected populations of these species.
Sammendrag
One challenge in precision nitrogen (N) management is the uncertainty in future weather conditions at the time of decision-making. Crop growth models require a full season of weather data to run yield simulation, and the unknown weather data may be forecasted or substituted by historical data. The objectives of this study were to (1) develop a model-based in-season N recommendation strategy for maize (Zea mays L.) using weather data fusion; and (2) evaluate this strategy in comparison with farmers’ N rate and regional optimal N rate in Northeast China. The CERES-Maize model was calibrated using data collected from field experiments conducted in 2015 and 2016, and validated using data from 2017. At two N decision dates - planting stage and V8 stage, the calibrated CERES-Maize model was used to predict grain yield and plant N uptake by fusing current and historical weather data. Using this approach, the model simulated grain yield and plant N uptake well (R2 = 0.85–0.89). Then, in-season economic optimal N rate (EONR) was determined according to responses of simulated marginal return (based on predicted grain yield) to N rate at planting and V8 stages. About 83% of predicted EONR fell within 20% of measured values. Applying the model-based in-season EONR had the potential to increase marginal return by 120–183 $ ha−1 and 0–83 $ ha−1 and N use efficiency by 8–71% and 1–38% without affecting grain yield over farmers’ N rate and regional optimal N rate, respectively. It is concluded that the CERES-Maize model is a valuable tool for simulating yield responses to N under different planting densities, soil types and weather conditions. The model-based in-season N recommendation strategy with weather data fusion can improve maize N use efficiency compared with current farmer practice and regional optimal management practice.