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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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NIBIO-modellen JOVAest og NIVA-modellen TEOTIL har vært brukt i mange år for å simulere tilførsler av totalt nitrogen og fosfor på nasjonal skala i Norge. Modellene brukes til å støtte vannforvaltning, for eksempel ved å sammenligne simulerte tilførsler med målverdier. Denne rapporten beskriver de eksisterende modellene i detalj og foreslår oppdateringer og forbedringer for å gjøre modelleringsarbeidsflyten mer relevant for behovene til vannforvaltere. Foreslåtte endringer inkluderer: (i) oppdatering av alle komponenter i den eksisterende arbeidsflyten; (ii) å bruke modellen Agricat2 for å simulere jordbruksfosfor; (iii) simulering av underfraksjoner av totalt nitrogen og fosfor; (iv) tilsetning av suspendert sediment og organisk materiale som tilleggsparametere; og (v) å tilføre ytterligere punktkilder til næringsstoffer, slik som utslipp fra landbasert akvakultur.

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Validation of models for plant disease management is a crucial part in the development of decision support systems in plant protection. Bespoke field trials are usually conducted to determine the performance of a model under practical conditions. However, field trials are very resource-demanding, and the use of already existing field trial data could significantly reduce costs for model validation. In this study, we took this novel approach to verify the performance of models for determining the need of fungicide applications against leaf blotch diseases in wheat by utilising historical weather data and yield data available from fungicide efficacy field trials. Two models based on humidity factors were used in the study. To estimate how specific humidity settings in the two models affect the number of recommended fungicide treatments per season, historical weather data from a 5-year period from weather stations in Denmark, Sweden, Norway, Finland, and Lithuania was used. The model output shows major differences between seasons and regions, typically recommending between one and three treatments per season. To determine the prediction potential of the models, data on yield gains from either one or two fungicide applications in fungicide efficacy trials conducted in wheat over a 5-year period in the five countries was utilised. The yield responses from fungicide treatments in the efficacy trials varied considerably between years and countries, as did the proportion of predictions of profitable treatments. In general, there was a tendency for the models to overestimate the need to apply fungicides (low specificity), but they rarely failed to recommend an application that was needed (high sensitivity). Despite the importance of having specific trials across regions in order to adjust models to local cropping and weather conditions, our study shows that historical weather data and existing field trial data have the potential to be used in model validation.

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The INTENSE project, supported by the EU Era-Net Facce Surplus, aimed at increasing crop production on marginal land, including those with contaminated soils. A field trial was set up at a former wood preservation site to phytomanage a Cu/PAH-contaminated sandy soil. The novelty was to assess the influence of five organic amendments differing in their composition and production process, i.e. solid fractions before and after biodigestion of pig manure, compost and compost pellets (produced from spent mushroom substrate, biogas digestate and straw), and greenwaste compost, on Cu availability, soil properties, nutrient supply, and plant growth. Organic amendments were incorporated into the soil at 2.3% and 5% soil w/w. Total soil Cu varied from 179 to 1520 mg kg−1, and 1 M NH4NO3-extractable soil Cu ranged from 4.7 to 104 mg kg−1 across the 25 plots. Spring barley (Hordeum vulgare cv. Ella) was cultivated in plots. Changes in physico-chemical soil properties, shoot DW yield, shoot ionome, and shoot Cu uptake depending on extractable soil Cu and the soil treatments are reported. Shoot Cu concentration varied from 45 ± 24 to 140 ± 193 mg kg DW−1 and generally increased with extractable soil Cu. Shoot DW yield, shoot Cu concentration, and shoot Cu uptake of barley plants did not significantly differ across the soil treatments in year 1. Based on soil and plant parameters, the effects of the compost and pig manure treatments were globally discriminated from those of the untreated, greenwaste compost and digested pig manure treatments. Compost and its pellets at the 5% addition rate promoted soil functions related to primary production, water purification, and soil fertility, and the soil quality index.

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Understanding the changes in climate and land use/land cover (LULC) over time is important for developing policies for minimizing the socio-economic impacts of riverine floods. The present study evaluates the influence of hydro-climatic factors and anthropogenic practices related to LULC on floods in the Kelani River Basin (KRB) in Sri Lanka. The gauge-based daily precipitation, monthly mean temperature, daily discharges, and water levels at sub-basin/basin outlets, and both surveyed and remotely sensed inundation areas were used for this analysis. Flood characteristics in terms of mean, maximum, and number of peaks were estimated by applying the peak over threshold (POT) method. Nonparametric tests were also used to identify the climatic trends. In addition, LULC maps were generated over the years 1988–2017 using Landsat images. It is observed that the flood intensities and frequencies in the KRB have increased over the years. However, Deraniyagala and Norwood sub-basins have converted to dry due to the decrease in precipitation, whereas Kithulgala, Holombuwa, Glencourse, and Hanwella showed an increase in precipitation. A significant variation in atmospheric temperature was not observed. Furthermore, the LULC has mostly changed from vegetation/barren land to built-up in many parts of the basin. Simple correlation and partial correlation analysis showed that flood frequency and inundation areas have a significant correlation with LULC and hydro-climatic factors, especially precipitation over time. The results of this research will therefore be useful for policy makers and environmental specialists to understand the relationship of flood frequencies with the anthropogenic influences on LULC and climatic factors.

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Plant functional traits can predict community assembly and ecosystem functioning and are thus widely used in global models of vegetation dynamics and land–climate feedbacks. Still, we lack a global understanding of how land and climate affect plant traits. A previous global analysis of six traits observed two main axes of variation: (1) size variation at the organ and plant level and (2) leaf economics balancing leaf persistence against plant growth potential. The orthogonality of these two axes suggests they are differently influenced by environmental drivers. We find that these axes persist in a global dataset of 17 traits across more than 20,000 species. We find a dominant joint effect of climate and soil on trait variation. Additional independent climate effects are also observed across most traits, whereas independent soil effects are almost exclusively observed for economics traits. Variation in size traits correlates well with a latitudinal gradient related to water or energy limitation. In contrast, variation in economics traits is better explained by interactions of climate with soil fertility. These findings have the potential to improve our understanding of biodiversity patterns and our predictions of climate change impacts on biogeochemical cycles.

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Just as the aboveground tree organs represent the interface between trees and the atmosphere, roots act as the interface between trees and the soil. In this function, roots take-up water and nutrients, facilitate interactions with soil microflora, anchor trees, and also contribute to the gross primary production of forests. However, in comparison to aboveground plant organs, the biomass of roots is much more difficult to study. In this study, we analyzed 19 European datasets on above- and belowground biomass of juvenile trees of 14 species to identify generalizable estimators of root biomass based on tree sapling dimensions (e.g. height, diameter, aboveground biomass). Such estimations are essential growth and sequestration modelling. In addition, the intention was to study the effect of sapling dimension and light availability on biomass allocation to roots. All aboveground variables were significant predictors for root biomass. But, among aboveground predictors of root biomass plant height performed poorest. When comparing conifer and broadleaf species, the latter tended to have a higher root biomass at a given dimension. Also, with increasing size, the share of belowground biomass tended to increase for the sapling dimensions considered. In most species, there was a trend of increasing relative belowground biomass with increasing light availability. Finally, the height to diameter ratio (H/D) was negatively correlated to relative belowground biomass. This indicates that trees with a high H/D are not only more unstable owing to the unfavorable bending stress resistance, but also because they are comparatively less well anchored in the ground. Thus, single tree stability may be improved through increasing light availability to increase the share of belowground biomass.

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VIPS is a technology platform for prognosis, monitoring and decision support for integrated pest management in crops in Norway. The service facilitates access to a Danish decision support tool, IPMwise, for the management of weeds. This tool, called VIPS-weeds in Norway, is adjusted to the Norwegian conditions for cereals. VIPS-weeds selects and adjusts the dose of herbicides according to weed species, weed density and temperature. The tool is being tested each year for local adaptations and updating. In 2021, four experiments were performed in spring wheat and barley. The experiments were designed in completely randomised blocks with three replications, and each included a control (unsprayed), a VIPS-weeds, and an adviser choice plot as well as plots for a variety of herbicides that are common in these crops. The weed species and density, development stage and possible herbicide resistance of each species in the control plots as well as crop information and temperature data were registered in VIPS-weeds three days before the normal spraying time. The suggested herbicides (set to be suggested based on the price) were applied to the VIPS-weeds plots. The effect of suggested herbicides and their dose was assessed as the reduction of weed coverage (%) in sprayed plots compared to the control plots 3-4 weeks after spraying. The average efficacy targets for the weed species (observed at least in two fields) Spergula arvensis, Viola sp., Stellaria media, Galeopsis sp., Chenopodium album, and Fumaria officinalis were predicted to be at 91, 84, 65, 83, 80, and 72% respectively, by VIPS-weeds. The results showed an average efficacy of 45, 58, 79, 80, 91 and 82% for these weeds, respectively. The VIPS-weeds solution was economically reasonable and gave similar results as adviser choice in terms of weed control and yield.

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In 2017, two multi-location apple rootstock trials were established at 16 sites in 12 European countries. The evaluations are performed by members of the EUFRIN (European Fruit Research Institute Network) Apple & Pear Variety & Rootstock Testing Working Group. Two separate trials were arranged, grouping rootstocks into dwarf and semi-dwarf rootstocks according to the expected vigour; ‘Galaval’ was used as scion cultivar. The trial of dwarf rootstocks includes ‘G.11’ and ‘G.41’ (US), ‘EM_02’, ‘EM_03’, ‘EM_04’, ‘EM_05’ and ‘EM_06’ (UK), ‘62-396-B10®‘ (Russia), ‘P 67’ (Poland), ‘PFR4’ and ‘PFR5’ (New Zealand) and ‘Cepiland-Pajam®2’ as control. The trial of semi-dwarf rootstocks includes ‘G.202’ and ‘G.935’ (US), ‘PFR1’ and ‘PFR3’ (New Zealand), ‘EM_01’ (UK) and ‘G.11’ as a control for both trials. Part of the rootstocks (from dwarf and semi-dwarf rootstock trials) was planted in replanting conditions to test their tolerance to apple replant disease. All test trees came from the same nursery, and a common standardised evaluation protocol was used. Based on preliminary results averaged across sites, dwarf rootstocks can be ranked in terms of vigour in the following order: ‘EM_04’ < ‘EM_03’, ‘EM_05’ < ‘62-396-B10®’, ‘P 67’, ‘EM_02’, ‘G.11’ < ‘G.41’, ‘Cepiland-Pajam®2’ < ‘EM_06’, ‘PFR4’ < ‘PFR5’. On average, semi-dwarf rootstocks can be ranked in terms of vigour in the following order: ‘G11’ < ‘G.935’, ‘G.202’ < ‘PFR3’, ‘EM_01’ < ‘PFR1’. The highest cumulative yield in the young orchard was registered for trees on ‘PFR5’, ‘PFR4’, ‘G.11’, ‘G.41’, ‘Cepiland-Pajam®2’ and ‘EM_02’, while the lowest production was found for trees on ‘EM_04’. In the group of semi-dwarf rootstocks, the highest yield was on ‘PFR3’, ‘G.935’ and ‘PFR1’. Rootstocks also had a significant effect on fruit weight and fruit quality parameters. Results from the young orchards revealed interactions between sites and rootstock, potentially leading to site-specific rootstock choice based on the combination of rootstock, soil conditions and climate.

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NIBIO has an extensive professional portfolio, with close to 1500 ongoing projects at any given time. The projects reflect the great diversity and breadth of NIBIO’s professional activities, with regard to goals, market and geographical location. Many are concerned with sustainability. At the same time, many of our disciplines are subject to increasing polarization in society, which can express itself in both oversimplification and misrepresentation of complex issues. This requires an awareness of the role that research and knowledge institutions like NIBIO play, and a conscious approach to the difference between science and politics. For NIBIO it is therefore important to be active throughout the entire knowledge value chain. Our knowledge must be useful – it must be put to use and must contribute to insight and smart decisions that lead to good solutions. Our framework NIBIO — Making Sustainability Meaningful is about precisely that – contributing to the diversity of knowledge needed to balance different and often opposing considerations in an increasingly complex terrain. In this document we have collected 39 articles – selected samples of the great diversity of NIBIO’s professional activities in 2021. Activities and results that each, in their own way, contribute to important knowledge in industry and management, and in society – locally, nationally, and internationally. We hope that these samples inspire you to seek out more information – both about what is presented here and the many other exciting results of NIBIO’s activities.

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Tetraselmis chui is known to accumulate starch when subjected to stress. This phenomenon is widely studied for the purpose of industrial production and process development. Yet, knowledge about the metabolic pathways involved is still immature. Hence, in this study, transcription of 27 starch-related genes was monitored under nitrogen deprivation and resupply in 25 L tubular photobioreactors. T. chui proved to be an efficient starch producer under nitrogen deprivation, accumulating starch up to 56% of relative biomass content. The prolonged absence of nitrogen led to an overall down-regulation of the tested genes, in most instances maintained even after nitrogen replenishment when starch was actively degraded. These gene expression patterns suggest post-transcriptional regulatory mechanisms play a key role in T. chui under nutrient stress. Finally, the high productivity combined with an efficient recovery after nitrogen restitution makes this species a suitable candidate for industrial production of high-starch biomass.