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.
2024
Forfattere
Jorunn BørveSammendrag
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Forfattere
Jorunn Børve Theresa Weigl Emily Follett Ingunn Øvsthus Hanne Larsen Torbjørn Haukås Erlend Indergård Siv Fagertun Remberg Dalphy Ondine Camira Harteveld Arne StensvandSammendrag
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Sammendrag
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Forfattere
Christian Wilhelm Mohr Johannes Breidenbach Gunnhild Søgaard Oliver Moen Snoksrud Rune EriksenSammendrag
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Forfattere
Lingwei Dong Yuxin Miao Xinbing Wang Krzysztof Kusnierek Hainie Zha Min Pan William D. BatchelorSammendrag
Efficient and accurate in-season diagnosis of crop nitrogen (N) status is crucially important for precision N management. The main objective of this study was to develop a strategy for in-season dynamic diagnosis of maize (Zea mays L.) N status across the growing season by integrating proximal sensing and crop growth modeling. In this study, we integrated plant N concentration (PNC) derived from leaf fluorescence sensor data and aboveground biomass (AGB) based on the best-performing spectral index calculated from active canopy reflectance sensor data with simulated PNC and AGB using a crop growth model, DSSAT-CERES-Maize, for dynamic in-season maize N status diagnosis across the growing season. The results confirmed the applicability of leaf fluorescence sensing for PNC estimation and active canopy reflectance sensing for AGB estimation, respectively. The calibrated DSSAT CERES-Maize model performed well for simulating AGB (R2 = 0.96), which could be used for calculating the N status indicator, N nutrition index (NNI). However, the model did not perform satisfactorily for PNC simulation, with significant discrepancies between the simulated and measured PNC values. The data integration method using both proximal sensing and crop growth modeling produced accurate predictions of NNI (R2 = 0.95) and N status diagnostic outcomes (Kappa statistics = 0.64) for key growth stages in this study and could be used to simulate maize N status across the growing season, showing the potential for in-season dynamic N status diagnosis and management decision support. More studies are needed to further improve this approach by multi-sensor and multi-source data fusion using machine learning models.
Sammendrag
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Forfattere
Darius KviklysSammendrag
In the frame of EUFRIN apple rootstock trials, seven apple rootstocks are being tested for their resistance to ARD (apple replant disease) in several European countries. Current paper focus on the rootstock and soil type (ARD vs. fresh soil) effect on the accumulation of phenolic compounds in apple fruit. This research was performed at the Lithuanian trial site. Accumulation of phenolics compounds in fruit tissues was enhanced at replant soil. On the average of all rootstocks, total phenol content in fruit flesh increased by 25%, and in fruit peel by 31%. Hyperoside and rutin in fruit flesh and hyperoside, reynoutrin, phloridzin and procyanidin C1 were the most variable among detected phenolic compounds and their content in fruits from ARD soil was by 50 – 77 % higher than in fruits from the fresh soil. Content of (-) epicatechin in fruit flesh and (+) catechin and procyanidin B1 in fruit peel was similar in both ARD and fresh soil. Rootstock had a significant effect on the accumulation of phenolic compounds, but this effect was modified by soil conditions. Soil type had no effect on total phenol accumulation in fruits (flesh and peel) grown on Pajam 2 rootstock. Also, a stable phenol content in fruit flesh was on G.11 and M200 rootstocks, and in fruit peel on G.41. The highest increase of total phenol content at replant conditions was recorded on B.10 (by 66% in flesh and 60% in peel) and on G.935 (by 68% in flesh and 47% in peel) rootstocks.
Forfattere
Annika M. Felton Robert Spitzer David Raubenheimer Per-Ola Hedwall Adam Felton Ruth V. Nichols Brendan L. O'Connell Jonas Malmsten Erik Löfmarck Hilde Karine WamSammendrag
Animals representing a wide range of taxonomic groups are known to select specific food combinations to achieve a nutritionally balanced diet. The nutrient balancing hypothesis suggests that, when given the opportunity, animals select foods to achieve a particular target nutrient balance, and that balancing occurs between meals and between days. For wild ruminants who inhabit landscapes dominated by human land use, nutritionally imbalanced diets can result from ingesting agricultural crops rich in starch and sugar (nonstructural carbohydrates [NCs]), which can be provided to them by people as supplementary feeds. Here, we test the nutrient balancing hypothesis by assessing potential effects that the ingestion of such crops by Alces alces (moose) may have on forage intake. We predicted that moose compensate for an imbalanced intake of excess NC by selecting tree forage with macro-nutritional content better suited for their rumen microbiome during wintertime. We applied DNA metabarcoding to identify plants in fecal and rumen content from the same moose during winter in Sweden. We found that the concentration of NC-rich crops in feces predicted the presence of Picea abies (Norway spruce) in rumen samples. The finding is consistent with the prediction that moose use tree forage as a nutritionally complementary resource to balance their intake of NC-rich foods, and that they ingested P. abies in particular (normally a forage rarely eaten by moose) because it was the most readily available tree. Our finding sheds new light on the foraging behavior of a model species in herbivore ecology, and on how habitat alterations by humans may change the behavior of wildlife.
Forfattere
Unni Støbet LandeSammendrag
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Sammendrag
Rapporten gir en oversikt over status og utvikling i nordnorsk jordbruk i perioden 2002-2022. Beregningene er gjort basert på eksisterende kartdata og data fra søknader om produksjonstilskudd. Den generelle trenden i Nord-Norge er en nedgang i jordbruksareal i drift i første del av perioden (2002 til 2012), men liten endring de siste ti årene (2012-2022). Det har samtidig vært en betydelig nedgang i antall aktive gårdsbruk gjennom hele perioden. Rapporten viser videre potensialet for jordbruksproduksjon i landsdelen, hvordan jordbruksarealene faktisk brukes og hvordan jordbrukslandskapet har forandret seg.