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
Authors
Berit NordskogAbstract
VIPS, an Open Source technology platform for decision-support in agriculture, is designed to initiate international collaboration and is defined as a global digital public good. Online weather data in combination with field observations serve as inputs for pest models, while model outputs can be presented in any format accustomed to end-user needs. Examples of VIPS-related collaborations to be presented include: integration of data from VIPS with FAMEWS, development of a FAW model where outputs are returned to the Farmer Interface App (FIA) of the International Institute of Tropical Agriculture (IITA), and a new initiative for coordination of existing systems into a digital plant health service in Malawi.
Abstract
Simple Summary The bird cherry-oat aphid and the fungal plant pathogen causing stagonospora nodorum blotch (SNB) are common pests of wheat. Plants are under constant attack by multiple pests and diseases but there are limited studies on the interaction between several pests on wheat. We therefore conducted controlled greenhouse and laboratory experiments to determine how these pests affected each other on a wheat plant. We found that aphid feeding predisposed wheat to fungal disease, but that aphids preferred and reproduced better on leaves that had not been infected by the fungal pathogen. These results are important to understand the interactions between multiple pests on wheat and how to develop new control strategies in future integrated pest management (IPM). Abstract Wheat plants are under constant attack by multiple pests and diseases. Until now, there are no studies on the interaction between the aphid Rhopalosiphum padi and the plant pathogenic fungus Parastagonospora nodorum causal agent of septoria nodorum blotch (SNB) on wheat. Controlled experiments were conducted to determine: (i) The preference and reproduction of aphids on P. nodorum inoculated and non-inoculated wheat plants and (ii) the effect of prior aphid infestation of wheat plants on SNB development. The preference and reproduction of aphids was determined by releasing female aphids on P. nodorum inoculated (SNB+) and non-inoculated (SNB−) wheat leaves. The effect of prior aphid infestation of wheat plants on SNB development was determined by inoculating P. nodorum on aphid-infested (Aphid+) and aphid free (Aphid−) wheat plants. Higher numbers of aphids moved to and settled on the healthy (SNB−) leaves than inoculated (SNB+) leaves, and reproduction was significantly higher on SNB− leaves than on SNB+ leaves. Aphid infestation of wheat plants predisposed the plants to P. nodorum infection and colonization. These results are important to understand the interactions between multiple pests in wheat and hence how to develop new strategies in future integrated pest management (IPM).
Authors
Camilo Chiang Marcos Viejo Oda Toresdatter Aas Katharina Hobrak Christian Bianchi Strømme Inger Sundheim Fløistad Jorunn Elisabeth OlsenAbstract
Light and temperature are crucial factors for the annual growth rhythm of tree seedlings of the boreal and temperate zone. Dormant, vegetative winter buds are formed under short days (SD) and altered light quality. In the conifer Norway spruce, expression of FTL2 increases and PaCOL1-2 and PaSOC1 decrease under light regimes, inducing bud set. Although temperature is known to modulate the timing of bud set, information about combined effects of light climate and temperature on bud phenology and gene expression is limited. We studied the interactive effects of temperature (18, 22/24 °C) and day extension with blue (B), red (R) or far-red (FR) light or different R:FR ratios compared to SD on growth–dormancy cycling and expression of FTL2, PaCOL1-2 and PaSOC1 in Norway spruce seedlings. Day-extension with B light and all treatments involving FR light sustained shoot elongation, with increased growth at higher temperature. The R light treatment resulted in delayed/prevented bud set compared to SD, with more delay/prevented bud set at 24 °C than 18 °C. This was associated with lower PaFTL2-transcript levels at 24 °C and more rapid subsequent bud burst. For the growth-sustaining treatments (long days, FR and B light), the PaFTL2-transcript levels were generally lower and those of PaCO1-2 and PaSOC1 higher compared with SD and R light. In conclusion, our results demonstrate more reduced/prevented bud set and faster bud burst with increased temperature under day extension with R light, indicating less deep dormancy than at lower temperature. Also, sustained shoot elongation under the B light treatment (27 µmol m−2 s−1) in contrast to the lower B light-irradiances tested previously (≤13 µmol m−2 s−1), demonstrates an irradiance-dependent effect of day extension with B light.
Authors
Simon Jakobsson Marianne Evju Erik Framstad Alexis Imbert Anders Lyngstad Hanne Sickel Anne Sverdrup-Thygeson Joachim Paul Töpper Vigdis Vandvik Liv Guri Velle Per Arild Aarrestad Signe NybøAbstract
Sustainable nature management and ecosystem conservation depends critically on scientifically sound and stakeholder-relevant analytical frameworks for monitoring and assessing ecological condition. Several general frameworks are currently being developed internationally, including the Essential Biodiversity Variables (EBV), and the UN’s SEEA EEA Ecosystem Condition Typology (ECT). However, there has so far been few attempts to develop empirical implementations of these general frameworks, or to assess their applicability for environmental decision-making at national or regional scales. In this paper, we aim to fill this implementation gap by demonstrating a practical application of an empirically-based ecological condition assessment framework, the Index-Based Ecological Condition Assessment (IBECA). IBECA defines seven major classes of indicators of ecological condition, representing distinct ecosystem characteristics, and empirically synthesizes indicators for each of these characteristics from various monitoring data. We exemplify and explore the utility and robustness of IBECA using a case study from forest and alpine ecosystems in central Norway, and we investigate how IBECA aligns with the two international frameworks EBV and ECT. In particular, we analyze how the different approaches to categorize indicators into classes affect the assessment of ecological condition, both conceptually and using the case study indicators. We used eleven indicators for each of the two ecosystems and assessed the ecological condition according to IBECA for i) each individual indicator, ii) the seven ecosystem characteristics (indicator classes), and iii) a synthetic ecological condition value for the whole ecosystem. IBECA challenges key concepts of the international frameworks and illustrates practical challenges for national or regional level implementation. We identify three main strengths with the IBECA approach: i) it provides a transparent and management-relevant quantitative approach allowing assessment of spatio-temporal variation in ecological condition across indicators, characteristics and ecosystems, ii) the high degree of flexibility and transparency facilitates updating the ecological condition assessments, also back in time, as improved data and knowledge of indicators emerge, and iii) the quantitative and flexible procedure makes it a cost-effective approach suitable for fast management implementations. More generally, we stress the need for carefully choosing appropriate classification and aggregation approaches in ecological condition assessments, and for transparent and data-driven analytical approaches that can be adjusted as knowledge improves.
Authors
Trygve S. AamlidAbstract
No abstract has been registered
Authors
Trygve S. AamlidAbstract
No abstract has been registered
Authors
El Houssein Chouaib HarikAbstract
No abstract has been registered
Authors
Trygve S. AamlidAbstract
No abstract has been registered
Authors
Trygve S. AamlidAbstract
No abstract has been registered
Authors
A. Astover J. Escuer-Gatius A. Don K. Armolaitis G. Barančíková M. Bolinder S. Cornu M. De Boever R. Farina C. Foldal R. Jandl M. Kasper D. Fornara A. Govednik R. Mihelič Vrščaj B. B. Huyghebaert R. Kasparinskis S.G. Keel P. Laszlo A. Lehtonen S. Madenoğlu G. Maria da Conceição Christophe Moni L. O'Sullivan D. Wall G. Lanigan B. Sánchez Gimeno A. Taghizadeh-ToosiAbstract
Deliverable 2.12. This report presents a picture of the inventory of the different models accounting and monitoring soil quality and soil carbon stocks used in 21 different countries in Europe, and especially for the reporting of greenhouse gas (GHG) emissions to the UNFCCC (UNFCCC, 2020). The report synthesizes the information collected regarding the use of these models both at national and farm scale, as well as information of other models for soil quality monitoring, by different actors (policy making, farmers, and extension services). The study identified a big variability in the models used at national level and GHG reporting, where the Yasso07 model is currently the most widely used, and with several countries planning its implementation in the future. The number of models used at the farm scale to estimate SOC change presented an even bigger variability than those reported at the national scale, including some of the models included in the national scale, but also incorporating smaller spatial models intended for use at the farm scale, at the field scale or even at smaller scales. Most of the models are intended for mineral soils, both arable or grasslands, and only a few are reported for organic soils and/or other land use. A big heterogeneity was also present in the reported soil quality models (besides those used for accounting for SOC change). Two models included in the national and farm scale are also included here (RothC and Yasso07). The most reported soil quality models focus on greenhouse gas (GHG) emissions estimation and leaching, and are mainly related to the nitrogen cycle, but also to other nutrients, and soil physical properties. Our results show that synergies derived from European collaborations are not fully used but offer the possibility to enhance the quality of model applications for national GHG reporting and at smaller scales for the support of farm management.