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Publikasjoner

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.

2026

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Background Faba bean cultivation in northern Europe is challenged by high variability in yield performance due to strong genotype × environment interaction (GEI). Appropriate GEI modeling and interpretation is essential for both cultivar recommendation and breeding for Nordic conditions. Methods Grain yield data from fifteen spring faba bean cultivars evaluated in eleven Norwegian environments during four growing seasons (2022–2025) were analyzed using the Additive Main Effects and Multiplicative Interaction (AMMI) model. Climatic drivers of GEI were investigated using factorial regression, while genome-wide SNP markers were used to assess the relationship between molecular diversity and adaptive differentiation. Results Environment, genotype, and GEI significantly influenced grain yield. The AMMI model with three GEI principal components (AMMI3) represented the biologically meaningful GEI signal and explained 83.4% of the GEI variation. The predictive accuracy of this model closely approached that of BLUP and GBLUP. Factorial regression showed that maximum and mean September temperatures explained 38.5% of the GEI variation, indicating that late-season thermal conditions are the principal environmental drivers of cultivar adaptation. We identified three top-yielding genotypes (Ketu, Birgit, and Vire) that can be object of site-specific recommendation. Two sub-regions emerged as possibly distinct breeding targets, namely, a major one, and a smaller one featuring cooler late-cycle temperatures and specific adaptation of very early material. A significant Mantel correlation between genomic and adaptive dissimilarity (r = 0.40, P = 0.029) suggested that differences in environmental adaptation have a measurable genetic basis. Conclusions This study identified elite cultivars for recommendation and generated crucial information for future crop breeding and variety testing in Norway. Breeding for wide adaptation across climatically diversified environments is justified by the modest size of the smaller sub-region and its expected decreasing importance due to climate change. The relationship between genomic and adaptive dissimilarity, if confirmed for a larger genotype set, could be exploited for a preliminary screening of regional breeding material and novel plant introductions.

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In this paper, we propose a fishery control scheme that happens to be first best in the context of a Gordon‐Schaefer model with asymmetric information about effort/harvesting costs. It is widely acknowledged that in the absence of regulations, competition between vessels leads to a competitive game wherein the outcome is inefficient. We introduce a management scheme that regulates the fishing industry through an individual convex tax on effort or on catches. The shares of this tax can be traded in a market, thus solving problems related to asymmetric information. This can be achieved since heterogeneous fishing firms are individually stimulated to solve the same optimality problem as a social planner would. We apply this model to the Northwest Mediterranean demersal fishery as a case study.

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På standen spurte vi Hva er en beredskapshage for deg? og hadde samtaler med besøkende på åpen dag om mange ulike tema innen erfaringer med dyrking, sanking av egne frø, foredling av egendyrkede råvarer, kompostering m.m. Vi hadde også rebusløp for barn og ulike utstillingsobjekter og plakater som spesielt fokuserte på frø og frøberedskap.

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På standen spurte vi Hva er en beredskapshage for deg? og hadde samtaler med besøkende på åpen dag om mange ulike tema innen erfaringer med dyrking, sanking av egne frø, foredling av egendyrkede råvarer, kompostering m.m. Vi hadde også rebusløp for barn og ulike utstillingsobjekter og plakater som spesielt fokuserte på frø og frøberedskap.

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I presentasjonen viste vi første litt om bakgrunnen for prosjektet BestPrepared, og sa litt om prosjektet som helhet. Hovedfokuset var derimot på arbeidspakke 3 - Living Lab, der vi viste eksempler på arbeidsmetoder og aktiviteter i tilknytning til Holt Økopark som et levende laboratorium for å utforske tema innen beredskap.

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Introduction In echinoculture, commercial success is often measured by gonad yield and gross biomass. However, these parameters may overlook the critical physiological transitions occurring during nutritional recovery. Green sea urchins (Strongylocentrotus droebachiensis) frequently face long periods of food scarcity in the wild, which leads to major metabolic shifts. This study explores the “quality of recovery” by investigating how starved individuals allocate resources from a macroalgal diet (Saccharina latissima). The hypothesis was tested that sea urchins prioritize structural stabilization and biochemical “priming” over immediate biomass accumulation. Materials and Methods Green sea urchins harvested by hand from Tromsø, Norway, were shipped to Bodø, Norway, and maintained under controlled conditions (7±1 °C) in the laboratory. The animals were divided into two groups: one subjected to long-term starvation and the other fed to satiation with S. latissima. Morphological indices, including fresh weight (FW), test diameter, and gonad index (GI), were recorded (n=10). Biochemical analyses of minerals using ICP-OES focused on the tests (shells) and a combined visceral fraction (intestines and coelomic fluid). “True protein” content was determined by summing proteinogenic amino acid residues using HPLC, excluding the non-proteinogenic amino acid taurine to ensure analytical precision. Statistical differences were assessed using independent samples t-tests or Wilcoxon rank-sum tests at a 5% significance level (P = 0.05) in the statistical software package R (v 4.5.1). Results and Discussion This study revealed a sophisticated hierarchy in resource allocation. While the starved group demonstrated remarkable structural resilience by maintaining basic body dimensions without significant skeletal degradation, the kelp-fed group exhibited a profound “biochemical reset”. The fed urchins showed a highly significant increase in the Gonad Index (10.75 ± 2.33% vs. 5.70 ± 2.68%; P < 0.001; Figure 1A). Interestingly, although the total fresh weight did not differ significantly between groups, the internal quality of the tissues underwent a dramatic transformation. In the tests, ash content increased significantly in fed individuals (82.21 ± 3.87 g vs. 79.04 ± 2.70 g; P < 0.05), indicating a strategic investment in skeletal mineralization (Figure 1B). This was accompanied by higher concentrations of matrix-stabilizing amino acids such as glycine and arginine. In the visceral fraction, a “priming” effect was observed. While the increase in total protein content (141.18 ± 27.50 mg g-1 DW vs. 118.23 ± 23.66 mg g-1 DW) narrowly missed the significance threshold (P = 0.061), specific essential amino acids like phenylalanine, leucine, and methionine increased significantly. This suggests that before significant gross growth occurs, the organism optimizes its metabolic machinery and amino acid pools to support future physiological demands. Conclusion Our findings demonstrated that green sea urchins employ a strategic rebuilding process during nutritional recovery. Investment is prioritized toward reinforcing the structural integrity of the test and priming the biochemical capacity of the viscera. For the aquaculture industry, these results suggest that traditional morphological indices should be supplemented with biochemical profiling to fully evaluate the efficacy of “roe enhancement” diets and the physiological health of the animals.

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This report evaluates the practical guidance accuracy of a John Deere 6130R tractor equipped with a John Deere AutoTrac autosteering system and a StarFire 6000 GNSS receiver. The experiment was conducted at NIBIO Apelsvoll, Norway, using a Trimble S3 robotic total station as an independent reference measurement system. Tractor trajectories were measured while driving along predefined guidance lines at travel speeds of 7, 10 and 13 km h-1. A total of 1097 position measurements were analysed. Mean cross-track deviations ranged from 4.2 to 5.2 cm, while standard deviations ranged from 3.3 to 4.0 cm. 95% of all observations remained within approximately 10 to 13 cm of the intended trajectory. Pass-to-pass deviations ranged from 0.7 to 2.9 cm, indicating good consistency between neighbouring guidance passes. The results indicate stable centimetre-level guidance performance throughout the tested operating range. Differences between travel speeds were small and are unlikely to be operationally important for most agricultural field operations. The measured guidance performance is compatible with the requirements of modern precision-agriculture applications such as tillage, sowing, fertiliser spreading and crop protection.