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.
2026
Abstract
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.
Abstract
Phosphorus is a critical resource for agriculture, but standard soil tests often fail to measure the dynamic rate at which it becomes available to crops, often leading farmers to overuse fertilizer and increase pollution risks. While the advanced diffusive gradients in thin films technology is excellent at measuring this dynamic phosphorus supply in soil, it is expensive and labor-intensive. We set out to discover if a combination of common, low-cost analyses could predict how much phosphorus plants absorb just as effectively as the advanced technology. Our research confirmed that the advanced dynamic phosphorus measurement was the single best predictor of plant phosphorus uptake. However, our key finding was that combining three simple measurements: extractable phosphorus, extractable aluminum, and soil organic carbon, predicted plant uptake and crop yield with equal or slightly better accuracy. This proves that agricultural stakeholders can use these existing, affordable labor
Authors
Erlend Hustad Honningdalsnes Erik Stensrud Marstein Helge Bonesmo Dag Lindholm Jonathan Rizzi Heine Nygard RiiseAbstract
No abstract has been registered
Authors
Nora Røhnebæk Aasen Sybil A. Herrera-Foessel Silius Mortensønn Vandeskog Therése Bengtsson Mulatu G. Dida Isak Drozdik Sigridur Dalmannsdottir Egill Gautason Jaroslaw S. Grodek Hrannar S. Hilmarsson Ortrud Jäck Janne Kaseva Antti Laine Alex Lenkoski Morten Lillemo Min Lin Anne Marthe Lundby Shirin Mohammadi Per Jarle Møllerhagen Markku Niskanen Rodomiro Ortiz Maxie Skalshøi Anna G. Þórðardóttir Maria ThorkildsenAbstract
We present a harmonized database of national variety trials and official Value for Cultivation and Use (VCU) trials from the five Nordic countries, Denmark, Norway, Sweden, Iceland, and Finland, focusing on three key crops for that region: spring barley (Hordeum vulgare), red clover (Trifolium pratense), and potato (Solanum tuberosum). Yield is the primary phenotypic trait reported. The location of each trial is also reported, which enables analysis of how weather variability impacts crop performance. Climate change will have a substantial impact on agriculture, requiring the development of new crop cultivars adapted for resilience to future stresses. Developing a new crop cultivar is a decades-long process, therefore climate change considerations must already be incorporated into breeding programs. National breeding programs have typically involved field trials in a single country, which has functioned satisfactorily during periods of stable climate variability. However, it is widely acknowledged that when field trial information across borders is made available, it can significantly aid plant breeding programs. Here, we present a pan-Nordic multi-environment database that consolidates national trial data and data from VCU trials for spring barley, red clover, and potato. The database harmonizes information on yield across diverse environments, enabling comparative analyses and cross-regional assessments. By providing a unified resource for the Nordic region, this dataset supports the development of more resilient crop varieties and facilitates data-driven breeding strategies under changing climatic conditions.
Authors
Annbjørg KristoffersenAbstract
No abstract has been registered
Authors
Nora Røhnebæk Aasen Sybil A. Herrera-Foessel Silius Mortensønn Vandeskog Therése Bengtsson Mulatu G. Dida Isak Drozdik Sigridur Dalmannsdottir Egill Gautason Jaroslaw S. Grodek Hrannar S. Hilmarsson Merja Högnäsbacka Ortrud Jäck Janne Kaseva Antti Laine Alex Lenkoski Morten Lillemo Min Lin Anne Marthe Lundby Shirin Mohammadi Per Jarle Møllerhagen Markku Niskanen Rodomiro Ortiz Maxie Skalshøi Anna G. Þórðardóttir Maria ThorkildsenAbstract
Climate change will substantially impact agriculture, requiring the development of new crop cultivars adapted for resilience to future stresses. Developing a new crop cultivar is a decades-long process. Therefore climate change considerations must already be incorporated into breeding programs. National breeding programs have typically involved field trials in a single country, which has functioned satisfactorily during periods of stable climate variability. However, it is widely acknowledged that when field trial information across borders is made available, it can significantly aid plant breeding programs. This paper presents a pan-Nordic multi-environment dataset that consolidates national trial data and data from VCU (Value for Cultivation and Use) trials for spring barley, red clover, and potato, during 1970–2024. The dataset harmonizes information on yield across diverse environments, enabling comparative analyses and cross-regional assessments. By providing a unified resource for the Nordic region, this dataset supports the development of more resilient crop varieties and facilitates data-driven breeding strategies under changing climatic conditions.
Abstract
In Norway, agroclimatic zones (ACZs) are a valuable tool for national analyses in subject areas concerning the optimized management of agricultural land resources. However, current Norwegian ACZs have been criticized for having an outdated standard climate normal (1931–1960), a limited representation of the local climatic variation, a lack of important model parameters, and weak methodological documentation. Therefore, this paper presents new ACZs for Norway that address these weaknesses. The most significant methodological updates are the use of the standard climate normal of 1991–2020, additional weather data variables, the downscaling of weather data to 250 m hexagons, and the incorporation of phenological crop models for spring wheat, spring barley, and forage grass. The grass model was calibrated with the number of grass harvests at research stations, while the grain models were calibrated with subsidy claim data. The modeled zones for the three crops were combined into the general ACZs. Example maps of the crop zones and new ACZs for the selected regions and the whole country are presented. The new ACZs are more robust, agronomically relevant, and better aligned with the current climatic conditions in Norway. The deliberate exclusion of factors other than climate ensures the new ACZs’ national comparability and their applicability in policy development, land-use planning, climate adaptation, and agronomic assessments at the national scale.
Authors
Till SeehusenAbstract
No abstract has been registered
Abstract
No abstract has been registered
Authors
Shiori Koga Ulrike Böcker Erik Tengstrand Annbjørg Kristoffersen Jon Arne Dieseth Anne Kjersti UhlenAbstract
No abstract has been registered