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
Abstract
No abstract has been registered
Abstract
To hundre mjølkebruk i Midt-Norge blei delt i tre nesten like store grupper; 'Låg' (68 gardar), 'Medium' (67 gardar) og 'Høg' (68 garder), etter årleg tildeling av kraftfôr til mjølkekyrne for å teste effekten av kraftfôrnivå på indikatorar for miljøpåverknad og økonomisk lønsemd. Gjennomsnittleg årleg kraftfôrnivå per ku var 15,4, 18,8 og 21,7 GJ nettoenergi laktasjon (NEL) og årleg avdrått i energikorrigert mjølk (EKM) per ku var 7868, 8421 og 8906 kg i høvesvis 'Låg', ‘Medium’og ‘Høg’. Standard livsløpsanalyse og dekningsbidrag blei brukt til å bestemme indikatorar for miljøpåverknad og økonomiske resultat av mjølk- og kjøttproduksjon. Den funksjonelle eininga var mengde 2,78 MJ spiseleg energi, tilsvarande 1,0 kg EKM eller 0,42 kg kjøtt eller en kombinasjon av mjølk og kjøtt som utgjer 2,78 MJ, altså EKM ekvivalent i mjølk og kjøtt levert EKM-eq. Det globale oppvarmingspotensialet, energiintensiteten og nitrogenintensiteten var i gjennomsnitt 1,46 kg CO2- eq./kg EKM-eq., 5,61 MJ energibruk/kg EKM-eq., og 6,83 N input/N-produkt, og var ikkje forskjellig mellom gruppene. Gardar med ‘Låg’ kraftfôrtildeling brukte mindre areal av total arealbruk til dyrking av innkjøpt fôr utanfor garden enn de i ‘Høg’ (0,39 vs. 0,46 daa/daa), men det totale arealet som blei brukt per kg EKM-eq. var større ('Låg' 3,24 vs. 'Høg' 2,84 m2/kg EKM-eq.). Dekningsbidraget per kg EKM-eq. levert var i gjennomsnitt høgare på 'Låg' gardar (6,57 NOK/kg EKM-eq.) enn 'Medium' (6,04 NOK/ kg EKM-eq.) og 'Høg' (5,73 NOK/kg ECM-eq.). Vår analyse viser at høgare kraftfôrnivå ikkje alltid gir mindre global oppvarmingspotensiale og mengd fossil energi per kg mjølk og kjøtt produsert samanlikna med lågare kraftfôrnivå.
Abstract
No abstract has been registered
Authors
Xiao Huang Hanna Marika Silvennoinen Bjørn Kløve Kristiina Regina Tanka P. Kandel Arndt Piayda Sandhya Karki Poul Erik Lærke Mats HöglindAbstract
Cultivated peatlands under drainage practices contribute significant carbon losses from agricultural sector in the Nordic countries. In this research, we developed the BASGRA-BGC model coupled with hydrological, soil carbon decomposition and methane modules to simulate the dynamic of water table level (WTL), carbon dioxide (CO2) and methane (CH4) emissions for cultivated peatlands. The field measurements from four experimental sites in Finland, Denmark and Norway were used to validate the predictive skills of this novel model under different WTL management practices, climatic conditions and soil properties. Compared with daily observations, the model performed well in terms of RMSE (Root Mean Square Error; 0.06–0.11 m, 1.22–2.43 gC/m2/day, and 0.002–0.330 kgC/ha/day for WTL, CO2 and CH4, respectively), NRMSE (Normalized Root Mean Square Error; 10.3–18.3%, 13.0–18.6%, 15.3–21.9%) and Pearson's r (Pearson correlation coefficient; 0.60–0.91, 0.76–0.88, 0.33–0.80). The daily/seasonal variabilities were therefore captured and the aggregated results corresponded well with annual estimations. We further provided an example on the model's potential use in improving the WTL management to mitigate CO2 and CH4 emissions while maintaining grass production. At all study sites, the simulated WTLs and carbon decomposition rates showed a significant negative correlation. Therefore, controlling WTL could effectively reduce carbon losses. However, given the highly diverse carbon decomposition rates within individual WTLs, adding indi-cators (e.g. soil moisture and peat quality) would improve our capacity to assess the effectiveness of specificmitigation practices such as WTL control and rewetting.
Authors
Jørgen A.B. Mølmann Sigridur Dalmannsdottir Anne Linn Hykkerud Timo Hytönen Amos Samkumar Laura JaakolaAbstract
The natural light conditions above the Arctic Circle are unique in terms of annual variation creating special growth conditions for crop production. These include low solar elevations, very long daily photosynthetic light periods, midnight sun/absence of dark nights, and altered spectral distribution depending on solar elevation. All these factors are known to affect the growth and the metabolism of plants, although their influence on northern crop plants has not yet been reviewed. The ongoing global warming is especially affecting the temperature × light interactions in the Arctic, and understanding the impact on crop production and plant metabolism will be important for an Arctic contribution to global food production. Arctic light conditions have a strong influence on the timing of plant development, which together with temperature limits the number of cultivars suitable for Arctic agriculture. This review compiles information from the reports about the effects of light conditions at high latitudes on growth, biomass production, flowering and quality of the crop plants and discusses the gained knowledge and the key gaps to be addressed.
Abstract
No abstract has been registered
Authors
Spiridoula Athanasiadou Marit Almvik Jarkko Hellström Eva Madland Nebojsa Simic Håvard SteinshamnAbstract
Helminth parasitic infections are common in small ruminants in Norway; infection is usually treated with anthelmintic drugs, but anthelmintic resistance is an increasing problem. It is necessary to identify strategies to reduce the use of anthelmintic drugs and mitigate the impact of anthelmintic resistance. Condensed tannin (CT)-rich forages have been shown to reduce the helminth burden in small ruminants, but these forages have limited cultivation potential in Scandinavia. A good source for CT in cold climatic regions may be the bark of several commercially utilized tree species. In the present study, we determined the content and characterized the type of CT in bark extracts of pine (Pinus sylvestris L.), spruce (Picea abies L.), and birch (Betula pubescens). Extracts of selected bark samples were tested for their anthelmintic efficacy against the ovine infectious nematode Teladorsagia circumcincta. Total CT content was higher in the bark from younger (10–40 years old) pine and spruce trees; it decreased with tree age in pine, whereas it remained relatively stable in the bark of spruce and birch. Pine trees consisted of 100% procyanidins, whereas prodelphinins were present in most spruce (4–17%) and all birch samples (5–34%). Our studies clearly showed that there is variation in the anthelmintic activity of water and acetone extracts of bark samples collected from various sites around Norway, as this was measured with two independent in vitro assays, the egg hatch and larvae motility assays. The anthelmintic activity of some extracts was consistent between the two assays; for example, extracts from the three samples with the highest CT content showed very high activity in both assays, whereas the extract from the sample with the lowest CT content showed the lowest activity in both assays. For other extracts, activity was not consistent across the assays, which could be attributed to the susceptibility of the different stages of the parasitic life cycle. We demonstrated that bark extracts from commercially used trees in Scandinavia have the potential to be used as alternatives to anthelmintics. Further work should focus on refining the associations between bark extracts and anthelmintic activity to identify the best strategies to reduce the input of anthelmintic drugs in livestock production systems.
Abstract
This study investigated the potential of in-season airborne hyperspectral imaging for the calibration of robust forage yield and quality estimation models. An unmanned aerial vehicle (UAV) and a hyperspectral imager were used to capture canopy reflections of a grass-legume mixture in the range of 450 nm to 800 nm. Measurements were performed over two years at two locations in Southeast and Central Norway. All images were subject to radiometric and geometric corrections before being processed to ortho-images, carrying canopy reflectance information. The data (n = 707) was split in two, using half the data for model calibration and the remaining half for validation. Several powered partial least squares regression (PPLSR) models were fitted to the reflectance data to estimate fresh (FM) and dry matter (DM) yields, as well as crude protein (CP), dry matter digestibility (DMD), neutral detergent fibre (NDF), and indigestible neutral detergent fibre (iNDF) content. Prediction performance of these models was compared with the prediction performance of simple linear regression (SLR) models, which were based on selected vegetation indices and plant height. The highest prediction accuracies for general models, based on the pooled data, were achieved by means of PPLSR, with relative root-mean-square errors of validation of 14.2% (2550 kg FM ha−1), 15.2% (555 kg DM ha−1), 11.7% (1.32 g CP 100 g−1 DM), 2.4% (1.71 g DMD 100 g−1 DM), 4.8% (2.72 g NDF 100 g−1 DM), and 12.8% (1.32 g iNDF 100 g−1 DM) for the prediction of FM, DM, CP, DMD, NDF, and iNDF content, respectively. None of the tested SLR models achieved acceptable prediction accuracies.
Abstract
No abstract has been registered
Authors
Gillian Butler Bjørn Egil Flø Flaviana Gottardo Anna Hessle Matthias Koesling Elisabet Nadeau Carsten Malisch Giorgia Riuzzi Tomasz Sakowski Anna Woodhouse Finn Walland Håvard SteinshamnAbstract
SusCatt considered a wide range of innovations or system comparisons in the 6 countries, all aimed to improve sustainability within European cattle farming. On the whole, these involved reducing production intensity, making greater use of home-grown grass and other forage crops on farms – generally with promising results for beef and dairy production when we considered their potential impact across the 3 pillars of sustainability...