Hopp til hovedinnholdet

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.

2022

Sammendrag

The diversity and abundance of pollinating insects is declining on a global scale and urgent action is needed. This is a brief film about the importance of pollinators, what is being done in Norway to counteract pollinator decline, and how you can help. Together, we can make a difference.

Til dokument

Sammendrag

Source at <a href=https://vkm.no/>https://vkm.no/</a>.

Sammendrag

Weeds may reduce crop yields significantly if managed improperly. However, excessive herbicide use increases risk of unwanted effects on ecosystems, humans and herbicide resistance development. Weed harrowing is a traditional method to manage weeds mechanically in organic cereals but could also be used in conventional production. The weed control efficacy of weed harrowing can be adjusted by e.g. the angle of the tines. Due to its broadcast nature (both crop and weed plants are disturbed), weed harrowing may have relatively poor selectivity (i.e. small ratio between weed control and crop injury). To improve selectivity, a sensor-based model which takes into account the intra-field variation in weediness and “soil density” in the upper soil layer (draft force of tines), is proposed. The suggested model is a non-linear regression model with three parameters and was based on five field trials in spring barley in SE Norway. The model predicts the optimal weed harrowing intensity (in terms of the tine angle) from the estimated total weed cover and SD per sub-field management unit, as well as a pre-set biological weed threshold (defined as the acceptable total weed cover left untreated). Weed cover and SD were estimated with RGB images (analysed with custom-made machine vision) and an electronic load cell, respectively. With current parameter values, the model should be valid for precision weed harrowing in spring barley in SE Norway. The next step is to test the model, and if successful, adjust it to more cereal species. Weeds may reduce crop yields significantly if managed improperly. However, excessive herbicide use increases risk of unwanted effects on ecosystems, humans and herbicide resistance development. Weed harrowing is a traditional method to manage weeds mechanically in organic cereals but could also be used in conventional production. The weed control efficacy of weed harrowing can be adjusted by e.g. the angle of the tines. Due to its broadcast nature (both crop and weed plants are disturbed), weed harrowing may have relatively poor selectivity (i.e. small ratio between weed control and crop injury). To improve selectivity, a sensor-based model which takes into account the intra-field variation in weediness and “soil density” in the upper soil layer (draft force of tines), is proposed. The suggested model is a non-linear regression model with three parameters and was based on five field trials in spring barley in SE Norway. The model predicts the optimal weed harrowing intensity (in terms of the tine angle) from the estimated total weed cover and SD per sub-field management unit, as well as a pre-set biological weed threshold (defined as the acceptable total weed cover left untreated). Weed cover and SD were estimated with RGB images (analysed with custom-made machine vision) and an electronic load cell, respectively. With current parameter values, the model should be valid for precision weed harrowing in spring barley in SE Norway. The next step is to test the model, and if successful, adjust it to more cereal species.

Sammendrag

Industrial kelp aquaculture is under development in Nordic countries including Norway. Kelps are a rich source of nutrients, taste and other bioactive substances with a large potential in food applications. There are some critical challenges for the food industry to a broader use of this new resource such as the reduction of iodine and potential allergens present. SusKelpFood is a new collaborative research project which primary objective is to enable innovative solutions for the sustainable production of safe, nutritious and flavourful ingredients from cultivated kelps for the food industry. SusKelpFood draws on key expertise from Nordic (Norway, Denmark and Iceland) research institutions, a leading actor of the food industry in Scandinavia and kelp producers to achieve this goal. The participants will test and develop targeted and energy-efficient processes including fermentation under different conditions, innovative drying and dewatering techniques (e.g. pulse-electric field, microwave-assisted drying) to conserve and prepare cultivated kelps for large-scale food applications in a sustainable way. Laboratory techniques will be applied to document the food safety (presence of contaminants, iodine, food allergens), nutritional and sensory profiles, and flavor-active substances of kelp ingredients produced from different processes. Consumer surveys, interviews and testing of product prototypes containing kelp ingredients will provide valuable information on consumer behavior for this type of products. The knowledge generated during SusKelpFood will promote future-oriented solutions for a broader inclusion of sustainably produced kelp in manufactured food products. The SusKelpFood project is financed by the Research Council of Norway and runs for 3 years from 2022 to 2024.

Sammendrag

Answers to survey asking for suggestions for new products in EU's new regulation for fertilisers. Fish sludge is suggested as material in compost and digestate, and a summary with references is provided.